Background.
This report was prepared for and funded by a California
non-profit which wishes to remain anonymous on our website. Recognizing
the importance and timeliness of this information, that group has authorized
its release or consideration by the various groups who may find it useful.
The report consists of the enclosed report, attached tables, and a number
of watershed maps, showing land ownership, use, urbanization, fire probability,
and impacts of mapped roads on mapped riparian systems in the 26 major
Sierra watershed. The information herein is solely the responsibility
and the work of its authors and does not reflect an agreement with the
opinion, policy, or position of any organization.
Tables and maps not found can be supplied on request.
Summary Report with Maps in PDF format
PART I. FOREST RESTORATION NEEDS ASSESSMENT
1. Introduction and Objectives
2. Assessing Forest Restoration
Needs in the Sierra Nevada
The Spatial
Analysis
River Basins and Subregions
Experimental
Design
Land Protection Status
Urbanization & Human Settlement
Road
Impacted Waterways
Fire
Return Intervals
Forests
Restoration Goals
3. Forest Restoration Needs
Land Protection
Status
Vegetation
Impacts of
Urbanization, Roads, Fire Suppression
Forest Restoration
needs
PART II. ECONOMIC EFFECTS OF FOREST
RESTORATION
4. The Sierra Nevada Economy
Overview of
population, income, poverty, employment
Resource vs.
amenity-based ecomonies
5. The Economic Enterprise
of Forest Restoration
Costs, Accumulating
Benefits and Types of Activities
6. Financing Forest Restoration
Existing and
New Sources of Funding
Market Based
Approaches
Table 2-1: Twenty-Six Primary River Basins of the Sierra Nevada>
Table 2-1: Twenty-Six Primary River Basins of the Sierra Nevada
Table 2-2: GIS Data Analysis Procedure
Table 2-3: Vegetation Classifications for Data Analysis and Map Displays (Holland, 1986)
Table 2-4: Residential Density Classifications
Table 3-1: Land Ownership in the Sierra Nevada
Table 3-2: Acres of Forests in Sierra Nevada River Basins
Table 3-4: Percentage Cover on Two Land-use Types Associated with Human Settlement
Table 3-5: Decreases in Canopy Cover at Varying Lot Densities
Table 3-6: Forest Roads in Riparian Zones in Selected Hydrologic Sub-Areas
Table 3-7: Forest Roads in Riparian Areas by Land Protection Status
Table 3-8: Acres by Fire Return Interval less than 250 years
Table 3-9: Acres by Fire Return and Land Protection Status
Table 3-10: Acres by Fire Return and Dominant Forest Type
Table 3-11: Summary of Forest Restoration Needs in Sierra Nevada
Table 4-1: Projected Population Growth for Sierra Nevada Counties
Table 4-2: Poverty Rates in Sierra Nevada Timber Counties
Table 4-3: Small Business in the Sierra Nevada
Table 4-4: Travel and Tourism-related Employment in the Sierra Nevada
Table 4-5: Annual Ecosystem Use Values for the Sierra Nevada
Table 4-6: Annual Hydroelectric Production and Value for Sierra Nevada River Basins
Table 5-1: Estimated Costs of Fuels Treatments
Table 5-2: Estimated Costs of Roads Treatments
Table 5-3: Estimated Costs of Immediate Fuel Management Needs
Table 5-4: Estimated Costs of Addressing Impacts from Roads in Riparian Areas
Table 5-5: Wages for Selected Occupations in Natural Resources Management
Table 5-6: Average Socioeconomic and Community Capacity Scores by Region
Figures
PART
I. FOREST RESTORATION NEEDS ASSESSMENT
1. INTRODUCTION
AND OBJECTIVES
The principal goal of this study
is to explore the economic implications of pursuing restoration of Sierra
Nevada forests. A spatial analysis that identifies and quantifies areas
likely to be candidates for restoration is required for the economic assessment
to be founded on factual information about forest conditions throughout
this highly varied landscape.
We have identified three primary
stressors on forest ecosystems which have impacted Sierra Nevada forests
to the point where restoration is needed. These stressors include: road-building
in forest riparian environments, suppression of natural fire regimes, and
human settlement. Fire suppression and roading in forests are significant
stressors associated with timber harvesting, as is the removal of trees.
The effects of tree removal on the structure and composition of forests
are not directly addressed here because accurate and timely information
is not available for the whole region. Information on the current management
of forest lands is included however, and is used to infer where harvesting
has occurred.
Forest restoration is the focus
of this study and should be distinguished from the broader term Òwatershed
restoration.Ó A broad range of impacts and needs affects entire
watersheds in the Sierra Nevada. Watershed restoration emphasizes the linkage
between upstream and downstream conditions in aquatic environments and
must examine many issues not addressed by this more focused analysis of
forest restoration.
The spatial analysis conducted for
this study required the assembly of a Geographic Information System (GIS)
constructed from digital files obtained through the Sierra Nevada Ecosystem
Project (SNEP) and other sources. This information supports the first spatially-explicit
estimates of regional forest restoration needs ever reported and will significantly
advance conservation management, planning and research efforts underway
throughout the region.
Using the spatial data, we examined
the costs of forest restoration, potential sources of funding for restoration,
and the potential for restoration to stimulate local economies. These issues
are addressed in the context of key Sierra Nevada economic indicators.
The indicators reveal a region in transition toward greater economic diversification.
The quality of life in the region supports the trend toward diversity by
attracting the social capital that supports enterprise. Forest restoration
will be essential to preserving the quality of life in the region.
2.
ASSESSING FOREST RESTORATION NEEDS
When we examine large landscapes with
an eye toward solving environmental problems, the watershed presents itself
as a uniquely valuable unit on which to base a wide array of analyses.
The simple reason being that the impacts of human activity on the land
flow downhill and inevitably become apparent in the quality of aquatic
and riverine environments. The integrity of forest ecosystems is without
question a fundamental determinant of watershed health, since forests buffer
the effects of natural and human-caused disturbances, regulate water flow,
and protect water quality. Large watershedsÑthe river basins of
the Sierra NevadaÑare used here to report forest restoration needs
in the Sierra Nevada.
Human culture has delineated boundaries
across the landscape which reflect the values of early inhabitants and
the social and political structure of contemporary society. Similarly,
other terrestrial mammals have ranges and habitat often irrespective of
watershed boundaries. From the ecological perspective the watershed is
a compelling way to approach environmental understanding and protection.
But it is critical that we recognize human communities as artifacts of
ecology as well, and that we are careful not to ignore community boundaries
based on a perceived ecological imperative. In promoting a river basin
perspective on Sierran forest restoration, this report recognizes the link
between forest protection and water quality and aquatic ecosystem health.
This section of the report describes
the approach we took to develop a spatially explicit assessment of forest
restoration needs in the Sierra Nevada. The experimental design shows what
specific questions we asked, what data we used, and how we manipulated
them. The goals of forest restoration as they relate to a regional analysis
such as this are also discussed.
2.1 Discussion of Spatial Analysis
The spatial analysis phase of this
project was designed to objectively identify forests in need of restoration
and offer an alternative to the anecdotal, popular, and disparate views
on regional forest restoration priorities. There is a recognized need to
expand the information sources used for conservation management, planning,
and research beyond site-level characteristics to provide a consistent
means for placing localized information into regional and range-wide contexts
(Jennings, 1997). This analysis yields findings which complement, rather
than substitute for, local assessments for forest restoration.
A spatially explicit and partially
complete environmental information system for the entire Sierra Nevada
was assembled for the Sierra Nevada Ecosystem Project (SNEP). Our analysis
benefited from the SNEP effort and observed the boundaries established
by that project for the Sierra Nevada Ecoregion (SNEP, 1996).
We constructed a Geographic Information
System (GIS) from digital files obtained through the Sierra Nevada Ecosystem
Project (SNEP) and other sources. A river basin template was selected for
organizing the GIS and reporting findings. Subregions were further defined
to group river basin findings. These subregions reflect both the natural
and social character of different parts of the Sierra Nevada.
The principal management activities
which impact forest ecosystems, include timber harvesting, fire suppression,
road construction, and residential development. Our purpose was to identify
the location and character of forests altered by these activities. The
experimental design for characterizing these forests is based on the availability
of range-wide data produced by SNEP scientists and other researchers. For
example, forest areas in need of restoration from grazing impacts are not
identified in this study, since no system-wide assessment of forest grazing
effects has been performed. This analysis does not seek to identify areas
to be targeted for protection, as does GAP analysis, but rather
to describe forests that can be enhanced or preserved through active restoration.
Map: River
Basins of the Sierra Nevada
2.1.1 River Basins and Hydrologic
Subareas
The river basins we selected for analysis
were derived from Hydrologic Areas and Hydrologic Sub-Areas in the CalWater
classification system currently in use by public resource agencies (Map
1). CalWater is a set of standardized watershed boundaries, nested into
larger previously standardized watersheds, meeting standardized delineation
criteria (Brandow, 1994). Along the western side of the Pacific Crest,
the river basins of the Sierra Nevada form the headwaters of the Sacramento-San
Joaquin River Delta. South of the San Joaquin Basin, Sierran rivers feed
the Tulare Lake Hydrologic Region which is an enclosed basin. The North
and South Lahontan Hydrologic Regions drain the east side of the Sierra
Nevada into extensive internally drained valleys in California and Nevada.
Only portions of the basins within
the Sierra Nevada Ecoregion (SNEP, 1996) and within California are considered
in this report. Several basins on the east side, including the Tahoe Basin
are truncated by the State line. Hydrologic Sub Areas (HSAs), identified
on maps with a five-digit number, are subwatersheds within each river basin,
and are used to more precisely characterize restoration needs within a
river basin.
The twenty six primary river basins
of the Sierra Nevada, broken into five subregions in this report, range
in size from 274,344 to 1,751,590 acres (Table 2-1). Eighteen Sierra counties
intersect these river basins as illustrated in Map 2.
2.1.2 Subregions
Subregions were delineated based in
part on the diverse natural character of the Sierra Nevada as well as on
cultural features which give even greater distinction to more and less
populated areas.
North
The North includes five river basins
belonging to the Feather (North Fork, East Branch North Fork, Middle Fork),
Sacramento (Mill, Big Chico, and Butte Creeks), and Susan (Honey and Eagle
Lakes) Rivers. Lassen, Plumas and portions of Tehama and Butte Counties
are located in this heavily forested region of the Sierra Nevada.
North Central
The North Central subregion includes
the Yuba, Bear, American, and Consumnes River Basins west of the Pacific
Crest, and the Truckee River and Lake Tahoe Basins on the east side. The
Bear and North Fork American Rivers are combined in this analysis. Sierra,
Nevada, Placer, El Dorado Counties, and a portion of Yuba County comprise
the political landscape of the North Central Region. Heavily populated
(more than 70% of all Sierra Residents) and possessing world renown rivers
and lakes, this subregion experiences the greatest forest stress.
Map 2: Counties
and River Basins of the Sierra Nevada
Table 2-1: Twenty-Six Primary
River Basins of the Sierra Nevada
| SUBREGION | ACRES | |
| NORTH | ||
| Mill-Big Chico-Butte Creeks | 658,454 | |
| North Fork Feather | 783,417 | |
| East Branch North Fork Feather | 656,980 | |
| Middle Fork Feather | 871,789 | |
| Honey-Eagle Lakes | 1,422,459 | |
| 4,393,100 | ||
| NORTH CENTRAL | ||
| Yuba | 842,731 | |
| North Fork American-Bear River | 928,961 | |
| South Fork American-Consumnes | 946,790 | |
| Truckee | 274,344 | |
| Lake Tahoe Basin (CA only) | 325,337 | |
| 3,318,164 | ||
| SOUTH CENTRAL | ||
| Mokelumne | 506,179 | |
| Stanislaus-Calaveras | 873,314 | |
| Tuolumne | 1,055,720 | |
| Merced | 699,089 | |
| 3,134,301 | ||
| SOUTH | ||
| Chowchilla-Fresno | 597,713 | |
| San Joaquin | 1,098,744 | |
| Kings | 1,159,038 | |
| Kaweah | 552,532 | |
| Tule | 639,779 | |
| Kern | 1,751,590 | |
| 5,799,396 | ||
| EAST SIDE | ||
| Carson | 290,058 | |
| Walker | 584,272 | |
| Mono Basin | 430,589 | |
| Crowley Lake | 1,188,401 | |
| Owens Lake | 876,319 | |
| Mojave | 609,566 | |
| 3,979,206 |
| TOTAL ALL RIVER BASINS | 20,624,166 |
South Central
The South Central Subregion comprises
the Mokelumne, Calaveras, Stanislaus, Tuolumne and Merced River Basins.
Amador, Calaveras, Tuolumne, and Mariposa Counties are located in this
subregion. While not as populated as the North Central Subregion, many
of the same impacts to forests are found here, but more than a quarter
of the subregion is protected in Yosemite National Park.
Southwestern
The largest subregion, Southwestern
comprises six river basins, including the Chowchilla and Fresno, San Joaquin,
Kings, Kaweah, Tule, and Kern. This rugged, more arid subregion is less
forested and less populated than other west slope subregions. A significant
portion of the subregion is in the Sequoia-Kings Canyon National Parks
and adjacent wilderness areas.
East
Dropping abruptly from the Pacific
Crest to the valleys of the Eastern Sierra, the East Subregion includes
the California portions of the Carson River, Walker River, and Mono Basins,
and all of the Crowley Lake, Owens Lake, and Mojave Basin. Alpine, Mono,
Inyo and portions of Kern Counties constitute the political landscape of
this subregion. Sparsely forested but possessing superlative alpine landscapes,
the East Subregion confronts fewer pressures on its forests than the forests
of other subregions.
2.2 Experimental Design and Data
Quality
Table 2-2 describes the GIS data analysis
procedure followed for this report. It identifies the function of data,
the specific digital coverages used, how we manipulated or treated the
data, the key map products, and the tabular data prepared by analyzing
the digital coverages. Throughout this procedure we followed the conventions
of GIS development and were constrained by the analytical flexibly inherent
in ARCInfo and ARCView software for PC.
Table 2-2: GIS Data Analysis
Procedure
| data Function | digital Coverage | Treatment of data | MAPS | TABLES |
| Select forest areas At-Risk to management with Sierra Nevada | 1. Land Mgmt/Ownership
(Davis, Stoms, 1996);
2. GAP Vegetation (Holland, 1986) 3. Calveg (Parker, Mathias, 1977) 4. SNEP Boundary 5. CalWater Version 2 (CDF) 6. USGS 7.5 min. Topo Index (USGS, 1993) |
7. Maintain
original 5 Land Mgmt/Ownership classes
8. Aggregate forest veg into forest types for map (further aggregated into 6 classes for data analysis) 9. Remove all large bodies of water using CALVEG water layer. 10. Make consistent with SNEP boundary 11. Select, modify, superimpose Hydrologic Sub Area (HSA) and River Basin boundaries 12. Overlay USGS 7.5 minute topo index |
River Basins; Land Protection
Status;
Forest Vegetation |
Acres in each river basin;
Acres in Land Protection Classes; Acres in Forests by basin |
| HUMAN SETTLEMENT |
| Evaluate forests affected by human settlement | 1. Residential
Density, 1990 (Duane, 1996)
2. Forest Type |
1. Reclassify by original 11 density
classes (0 to >640- units/sq. mi)
2. Select polygons for higher densities (20 to >640 units/sq. mi.) 3. Intersect with forest types 4. Assign coefficients for density, based on forest type (McBride, et al, 1996) |
Residential Density, 1990 (acres/dwelling unit) | Acres of forest type affected by human
settlement
(canopy loss) |
| ROAD-IMPACTED WATERWAYS |
| Identify riparian areas potentially affected by roads | 1. Streams
(USGS, 1993)
2. Rivers (USGS, 1993) 3. Lakes (USFS, 1:24K) 4. Roads (USGS, 1993) 5. CalWater Version 2 (CDF) 6. Forest Type (Holland, 1986) 7. Land Protection Status (Davis, Stoms, 1996) |
8. Fix waterways
buffer at 46 m (150 ft)
9. Overlay roads onto buffered waterways 10. Calculate road and lengths where adjacency occurs 11. Overlay HSAs 12. Overlay land protection status 13. Overlay Forest Type |
Roads within 150 feet of Waterways | Miles of Road in Riparian Areas; Land Protection Status of Miles of Road affecting Riparian Areas; Forest type and Road effects. |
| FIRE SUPPRESSION |
| Identify candidate areas for high priority fuel management | 1. Fire Return
Intervals (Sapsis, et al, 1996)
2. Forest Type (Holland) 3. Land Protection Status (Davis, Stoms, 1996) 4. CalWater Version 2 (CDF) |
5. Overlay
with Land Protection Status
6. Overlay with Forest Vegetation 7. Conduct analysis only for FRI 1-100 and 100-250 years in Basins and HSAs |
Fire Return Interval | Acres in FRI 1-100 and 100-250; FRI acres in dominant forest types; FRI acres by Land Protection Status |
| FOREST ASSETS |
| Identify where assets occur relative to restoration needs | 1. LS/OG
(Franklin, Fites-Kaufmann, 1996)
2. Ecologically Significant Areas (Millar, et al, 1996) 3. Sequoia groves (SNEP; USFS) 4. CalWater Version 2 (CDF) |
Giant Sequoia Groves;
LS/OG ; Significant Natural Areas |
2.2.1 Land Protection Status
and Vegetation Base Coverages
Land Management And Ownership
Land management and ownership for the
Sierra Nevada were described in SNEP based on work completed by Frank Davis
and David Stoms in a collaboration between SNEP and the National Biological
Service Gap Analysis Project (NBS GAP). Their classification is available
for 73 percent of the SNEP core area. The databases used in the SNEP/NBS
GAP analysis comprise the most spatially detailed land management maps
ever assembled for the region as a whole (Davis, Frank W., Stoms, David
M., 1996). These data were not modified for this report. Areas described
in this report which are not covered by the Davis and Stoms analysis were
assigned classifications based on land ownership which provides a more
coarse description of management activity. Those areas with less detailed
management information include the Mill/Big Chico/Butte Creeks Basin, a
portion of the North Fork Feather River Basin, the Honey-Eagle Lakes Basin,
and almost the entire East side below the Carson River Basin.
Vegetation in the Sierra Nevada Ecoregion
Vegetation types for the Sierra Nevada
Ecoregion are derived from Holland (1986) which classifies vegetation based
on overstory described by one to three species, each contributing more
than 20% of the relative canopy. These species are classified into natural
plant community types used by the California Department of Fish and Game,
Natural Heritage Division. We aggregated Holland forest vegetation to simplify
map displays and data analysis. We used greater detail (less aggregation)
for the maps than for data analysis (Table 2-3). Vegetation maps are not
included in this report because of budget limitations.
Vegetation for areas outside of the
Sierra Nevada Ecoregion was derived from Calveg (Parker and Mathias, 1977)
as provided in a current CDF digital file. We made some assumptions in
translating the Calveg types into the Holland types, but we do not expect
these assumptions to appreciably affect the results of our analysis.
2.2.2 Human Settlement Data
These data are 1990 census-based and
are for residences onlyÑcommercial and industrial uses would increase
the developed area significantly. Thus, the map provides a proxy for where
urbanization is occurring in the Sierra Nevada. Housing density was calculated
by dividing 100% housing count by the land area of the census blocks. We
eliminated the low density classes (<20 dwelling units/square mile).
The majority (89%) of housing throughout the Sierra Nevada occurs in densities
of 20 units/square mile and greater (Duane, 1996). We chose a threshold
value of 1du/32ac to distinguish wildlands from urban-intermix areas. Thus,
the five classes used in this report represent only the densities found
in urban and urban-intermix areas (Table 2-4). To our knowledge, the forest
impacts of areas developed at lower densities have not been quantified
by previous authors and are therefore not addressed in this report.
Densities are accurate to within 1,000
square meters. Census block boundaries should be within 51 meters of their
actual position. Individual census blocks are aggregated into five classes
starting with 20-40 dwelling units/square mile and ending with over 640
du/sq.mi. Errors are likely to exist in the largest and most heterogeneous
census blocks. This is because census blocks are not evenly distributed
across the region. For example, one census block may include areas with
two very different densities, yet they are averaged across the block. The
occurrence of these errors is low and most census block boundaries should
contain relatively homogeneous units (Duane, 1996).
Table 2-3: Vegetation Classifications
for Data Analysis and Map Displays (Holland, 1986)
| Vegetation Categories for Data Analysis | Vegetation Categories for Map |
| Oak Woodland | Oak Woodland |
| Oregon Oak Woodland | Oregon Oak Woodland |
| Black Oak Woodland | Black Oak Woodland |
| Valley Oak Woodland | Valley Oak Woodland |
| Blue Oak Woodland | Blue Oak Woodland |
| Interior Live Oak Woodland | Interior Live Oak Woodland |
| Broadleaf Forest | Broad Leaf Forest |
| Canyon Live Oak Forest | Canyon Live Oak Forest |
| Interior Live Oak Forest | Interior Live Oak Forest |
| Black Oak Forest | Black Oak Forest |
| Tan-Oak Forest | Tan-Oak Forest |
| Aspen Forest | Aspen Forest |
| Mixed Conifer | Mixed Conifer |
| Ultramafic Mixed Coniferous Forest | Ultramafic Mixed Coniferous Forest |
| Sierran Mixed Coniferous Forest | Sierran Mixed Coniferous Forest |
| Lower Cismontane Mixed Conifer-Oak Forest | Lower Cismontane Mixed Conifer-Oak Forest |
| Upper Cismontane Mixed Conifer-Oak Forest | Upper Cismontane Mixed Conifer-Oak Forest |
| Westside Ponderosa Pine | Conifer Woodland |
| Westside Ponderosa Pine Forest | Open Foothill Pine Woodland |
| Serpentine Foothill Pine-Chaparral Woodland | |
| Conifer Woodland | Non-Serpentine Foothill Pine Woodland |
| Open Foothill Pine Woodland | Foothill Pine-Oak Woodland |
| Serpentine Foothill Pine-Chaparral Woodland | Juniper-Oak Cismontane Woodland |
| Non-Serpentine Foothill Pine Woodland | Pinyon Pine-Oak Woodland |
| Foothill Pine-Oak Woodland | Cismontane Juniper Woodland |
| Juniper-Oak Cismontane Woodland | Oak-Pinyon Woodland |
| Pinyon Pine-Oak Woodland | Northern Juniper Woodland |
| Cismontane Juniper Woodland | Great Basin Pinyon-Juniper Woodland |
| Oak-Pinyon Woodland | Great Basin Pinyon Woodland |
| Northern Juniper Woodland | Great Basin Juniper Woodland and Scrub |
| Great Basin Pinyon-Juniper Woodland | Mojavean Pinyon and Juniper Woodland |
| Great Basin Pinyon Woodland | Mojavean Pinyon Woodland |
| Great Basin Juniper Woodland and Scrub | Mojavean Juniper Woodland and Scrub |
| Mojavean Pinyon and Juniper Woodland | |
| Mojavean Pinyon Woodland | Ponderosa Pine |
| Mojavean Juniper Woodland and Scrub | Eastside Ponderosa Pine Forest |
| Westside Ponderosa Pine Forest | |
| Conifer | |
| Knobcone Pine Forest | Lodgepole Pine |
| Eastside Ponderosa Pine Forest | Lodgepole Pine Forest |
| Sierran White Fir Forest | |
| Big Tree Forest | Jeffrey Pine |
| Modoc White Fir Forest | Jeffrey Pine Forest |
| Jeffrey Pine Forest | |
| Red Fir-Western White Pine Forest | Jeffrey/Fir |
| Jeffrey Pine-Fir Forest | Jeffrey Pine-Fir Forest |
| Red Fir Forest | |
| Lodgepole Pine Forest | White Fir |
| Whitebark Pine-Mountain Hemlock Forest | Sierran White Fir Forest |
| Whitebark Pine-Lodgepole Pine Forest | |
| Foxtail Pine Forest | Red Fir |
| Bristlecone Pine Forest | Red Fir Forest |
| Whitebark Pine Forest | |
| Limber Pine Forest | Red Fir/White Pine |
| Red Fir-Western White Pine Forest | |
| Knobcone Pine | |
| Knobcone Pine Forest | |
| Big Tree | |
| Big Tree Forest | |
| Whitebark Pine Group | |
| Whitebark Pine-Mountain Hemlock Forest | |
| Whitebark Pine-Lodgepole Pine Forest | |
| Whitebark Pine Forest | |
| Foxtail/Bristlecone/Limber Pine | |
| Foxtail Pine Forest | |
| Bristlecone Pine Forest | |
| Limber Pine Forest |
Table 2-4: Residential Density
Classifications
| Density in sq. miles | >> equivalent to >> | Density in acres |
| 20-40 du/sq.mi. | (32 ac/du -16 ac/du) | |
| 40-80 du/sq.mi. | (16 ac/du -8 ac/du) | |
| 80-160 du/sq.mi. | (8 ac/du -4 ac/du) | |
| 160-640 du/sq.mi. | (4 ac/du -1 ac/du) | |
| >640 du/sq.mi. | (<1 ac/du) |
2.2.3 Road-Impacted Waterway
Data
These data were derived from United States Geological Survey (USGS) 100,000 Scale Digital Line Graph (transportation and hydrology) data available from USGS, Menlo Park. The roads were subdivided into groups based on their DLG road labels (USGS, 1993).
· Major Highways: Interstate highways, U.S. Routes, State Routes, County Routes
· Primary and Secondary Routes: (undivided, divided by centerline, divided lanes separated, one way other than divided highway, and class 3 roads and streets)
· Undifferentiated
Forest Roads: Class 4 roads and streets; Four-Wheel-Drive Trails.
We converted all the roads data to
Albers projection and overlaid them onto the SNEP River Basin map and the
Hydrologic Sub Areas (HSAs). Then we created a spatial buffer of 150 feet
(46 meters) each side of the centerline of a lake, creek or river and analyzed
them to determine which roads entered the riparian buffers. This analysis
was then overlaid onto forest vegetation in the Sierra Nevada to examine
the extent of the problem in forested areas only.
The resulting map indexes the possible
extent of damage to forest riparian areas caused by roads. Where there
is a high density of riparian intrusion by roads, we would expect a smaller
network of skid trails to occur on lands managed for timber harvest, as
well as Òghost roadsÓ known to exist but not on maps.
2.2.4 Data on Fire Return Intervals
for Large Fires
These data show the expected annual
frequency of large (300+ acres) fires on a grid of 10-acre cells as determined
by Sapsis and others (1996) for the SNEP report. The areas depicted in
the two classes with highest return frequency (1-100 years and 100-250
years) are areas that would be high priority candidates for the reintroduction
of fire and other fuel management efforts.
The primary data from which these maps were derived are fire history records (39,986 fire records from the period 1981-93). They describe ignition history ratio of large fires to ignitions, and estimates of mean fire size within nine strata. Strata are based on life form (grass, brush, timber, red fir), National Weather Service fire weather zones, and population density class. The resulting fire data and map:
Òare perhaps more reliable for describing current and near term future risk. ...a paucity of fire incidence over substantial areas in the data period could translate into unreasonably low fire frequency estimates for these areas. One should assume that actual fire frequency in areas where fires were scarce in the data period may be higher than the map indicates...We are confident that the relative frequency and regional trends evinced by the map are a reflection of actual likelihood of large fire, and are hence useful information in interpreting risk across the study area.
--Sapsis, et al, 1996.
2.2.5 Data on Forest Assets
The Sierra Nevada Ecosystem Project
was charged with identifying specific high value attributes of Sierra Nevada
forests. Teams of scientists were assembled to provide assessments of Late
Successional/Old Growth (LS/OG) forests, Giant Sequoia groves, and Ecologically
Significant Natural Areas. The assessments were compiled as digital coverages
and associated data bases for these important and rare forest features.
We secured the digital information on these three types of forest assets
from the Alexandria Web Site which serves as a clearinghouse for SNEP data.
The maps we produced represent no manipulation of source data other than
to overlay our hydrologic boundaries onto the original coverages.
2.3 Forest Restoration Goals
This assessment of forest restoration
needs identifies impacts to Sierra Nevada forests that can be reasonably
approached through local restoration strategies. These strategies could
include road repair or obliteration, thinning of forests to permit the
safe reintroduction of fire, and using fuel management techniques in settled
areas that offer maximum protection of biodiversity. An assessment of restoration
needs at the scale of actual interventions requires space- and time-specific
restoration goals. For example, restoring the role of fire in a 500-acre
catchment requires that actual fuel loads be determined, and that the natural
fire return interval for that catchment be understood and targeted in pre-treatments
(e.g. thinning from below), prescribed burns, and managed wildfires. Similarly,
to restore the complexity and diversity of riparian habitat impacted by
a forest road, the specific stream flows, needed to erode banks and deposit
point bars which in turn permit lateral migration of meandering channels,
would need to be estimated and provided. And finally, where the goal of
restoring the forest to its condition prior to the arrival of European-American
settlers may be appropriate in certain locations, such a target state is
no longer feasible in a west slope forest with an extensive human community.
From these examples it is clear that both spatial and temporal scales of
a finer grain than possible in this regional analysis determine the range
of actual treatments.
The assessment of forest restoration
needs for the entire 20 million acres and 26 major river basins of the
Sierra Nevada ecosystem requires that restoration goals be more general.
At the regional scale, we define restoration as Òcoordinated actions
designed to return an impacted ecosystem to a prior, more natural target
stateÓ (Hrubes, 1997), and leave to those who implement restoration
at the local scale, the designation of the specific target state and the
natural processes to emphasize (e.g. burning, reducing ground fuels, natural
pathogens). Restoration needs at the regional scale are then stated more
generally in terms of location and quantity of acres of forest or miles
of stream that require finer level analysis before specific treatments
are selected. This regional analysis serves to focus the work of developing
those specific strategies on the areas that need it most.
3.
FOREST RESTORATION NEEDS BY RIVER BASIN
The following analysis of forest restoration
needs in the Sierra Nevada specifically examines the effects of human settlement,
roads located in riparian areas, and fire suppression. In each case we
quantify the area affected based on information available for the whole
region. The structure and forests in the Sierra Nevada have been altered
by these activities as well as a broad range of other activities from timber
harvesting to intensive recreation. The data presented here are therefore
not a full accounting of forest impacts in the region. They do however
represent the principal problem areas that can reasonably be addressed
through the work of forest restoration, and in that sense can be taken
as a basis for both prioritizing and for estimating the costs of this work.
3.1 Land Protection Status
Approximately 65 percent of the Sierra
Nevada is under public ownership. The USDA Forest Service alone manages
42 percent of the entire Sierra Nevada ecosystem (Table 3-1). The type
of management within each one of these ownerships determines to a great
extent the condition of the forests and watersheds in the region. For example,
the Bureau of Land Management and USDA Forest Service manage for a variety
of uses that range from full wilderness protection to timber production
and the condition of these lands reflect this.
Table 3-1: Land Ownership in
the Sierra Nevada
| LAND OWNERSHIP | ACRES | PERCENT OF TOTAL |
| Private | 6,705,506 | 33% |
| State | 190,594 | 1% |
| USDA Forest Service | 8,672,735 | 42% |
| Bureau of Land Management | 2,242,491 | 11% |
| National Park Service | 1,644,225 | 8% |
| Other Public | 521,208 | 3 |
| Lakes | 453,105 | 2% |
Land Protection Status provides a more
meaningful description of land management than simple land ownership can
convey. Each class of Land Protection Status profiles both ownership and
management and provides a crude measure of risk of development or resource
over-exploitation (Davis and Stoms, 1996). Classes distinguish land based
on permitted use and assume that the most pervasive land uses affecting
the status and trends of terrestrial biodiversity in the Sierra Nevada
are grazing, fire suppression, timber harvest, and urban, residential,
and agricultural development. The existing management affecting forests
of the Sierra Nevada ultimately dictates the options available for forest
restoration. For example, restoration on private unprotected forest lands
will likely require some mix of incentives and education to promote voluntary
action by landowners, whereas restoration on public lands will require
in some cases a shift in policy or an augmentation of funds to undertake
it, or both.
The pattern of protection and ownership
mirrors topography somewhat, with greater levels of protection and federal
ownership at higher elevation, grading into more vulnerable unprotected
private lands at lower elevation (Maps 3a-3e). Central and southern portions
of the range have more protected lands than the north. Forests of the Yuba,
Truckee, and North Fork American River Basins have a more complex arrangement
of protection status, in part due to the checkerboard of public and private
lands that remain as a legacy of the disposition of federal lands to transcontinental
railroads (Map 4).
The five Land Protection Status classes are as follows (Davis and Stoms, 1996):
Class 1 Full Protection
Public or private land formally designated for conservation of native biodiversity and within which timber harvests are precluded. Natural disturbance events are generally allowed to proceed without interference or are mimicked through management. The areas may include national parks, national monuments, ungrazed lands within USDA Forest Service wilderness areas, research natural areas, and wild and scenic rivers, Blue Ridge National Wildlife Refuge, The Nature Conservancy preserves, and state parks and ecological reserves.
Class 2 Mostly Protected--no grazing
National forest land that is generally managed for its natural values but is not formally designated for conservation of native biodiversity. Development and grazing are excluded, and timber harvest is generally excluded because it conflicts with other multiple-use objectives. Wildfires are generally suppressed. The distribution of recreational activities on Class 2 lands is unknown, but a small fraction of the land is developed for recreational facilities.
Class 3 Mostly Protected--some grazing
Public land that is generally managed for its natural values, is treated in existing management plans as unsuitable for timber harvest, and may be grazed. Wildfires may be actively suppressed. Examples include grazing allotments within USFS wilderness areas, grazing allotments on national forest lands classified as unsuitable for timber harvest, the San Joaquin Experimental Range, Bureau of Land Management (BLM) areas of critical environmental concern, and BLM wilderness areas.
Class 4 Other Public Lands
Public lands not included in Classes
1-3, mainly multiple use federal lands managed by the Bureau of Indian
Affairs (BIA), Bureau of Reclamation, BLM, and USFS. National forest lands
in this category include areas that are classified in existing plans as
suitable for timber harvest. These USFS areas can also be within existing
grazing allotments. Wildfires are actively suppressed.
Class 5 Private and Unprotected
Private lands other than those
in Class 1. In the absence of more detailed zoning data, we assume that
these lands are potentially available for development, timber harvest,
and grazing and that wildfires are actively suppressed.
3.2 Forest Vegetation
Regional forest vegetation maps convey
an incomplete picture of a regionÕs forest in that they do not describe
the actual ground covered by trees. Anyone who has visited the Sierra Nevada
is aware of the great variability in tree density there. Maps assign a
forest type to a vast landscape which may actually be treeless in areas
up to several acres in size. This is an essential fact to consider when
forest vegetation maps are used to quantify the extent of a problem such
as the need for forest restoration.
The six forest types used in this report
include: west-side ponderosa pine, mixed conifer, conifer woodland, other
conifers, broadleaf forests, and oak woodlands (see section 2.2.1 for complete
descriptions of forest types). Their distribution is shown in Table 3-2.
Table 3-2: Acres of Forests in Sierra Nevada River Basins
| Westside Ponderosa Pine | Other Conifer | Broadleaf Forest | Oak Woodland | Mixed Conifer | Conifer Woodland | TOTAL Forest Vegetation |
| ACRES | 1,000s ACRES |
| North | Mill/Big Chico/Butte Creek | 0 | 0 | 0 | 219,538 | 313,613 | 2,359 | 536 |
| No. Fork Feather | 47,351 | 94,160 | 22,468 | 11,465 | 457,767 | 11,581 | 645 | |
| E. Br. No.Fk.Feather | 48,005 | 235,059 | 935 | 3,074 | 230,309 | 7,238 | 525 | |
| Middle Fork Feather | 57,769 | 297,888 | 25,801 | 940 | 232,351 | 13,782 | 629 | |
| Honey-Eagle Lake | 686 | 187,074 | 0 | 12,980 | 213,661 | 93,515 | 508 | |
| North Central | Yuba | 37,012 | 175,416 | 74,578 | 35,254 | 369,143 | 35,039 | 726 |
| Bear River/ North Fork American | 76,199 | 115,570 | 114,616 | 46,140 | 330,626 | 93,817 | 777 | |
| S.Fork American/Consumnes | 190,236 | 115,466 | 39,898 | 64,583 | 259,910 | 109,669 | 780 | |
| Truckee | 0 | 208,909 | 0 | 2,145 | 2,356 | 3,182 | 217 | |
| Lake Tahoe Basin | 0 | 110,290 | 11 | 0 | 4,940 | 907 | 116 | |
| South Central | Mokelumne | 109,907 | 130,821 | 45,699 | 18,667 | 104,882 | 19,912 | 430 |
| Stanislaus/Calaveras | 89,515 | 202,055 | 27,965 | 103,886 | 169,879 | 131,172 | 724 | |
| Tuolumne | 118,102 | 278,163 | 56,189 | 84,306 | 118,617 | 85,461 | 741 | |
| Merced | 46,449 | 209,795 | 74,685 | 49,921 | 87,563 | 38,072 | 506 | |
| Southwest | Chowchilla-Fresno | 13,921 | 0 | 86,101 | 260,224 | 51,669 | 81,244 | 493 |
| San Joaquin | 95,802 | 384,598 | 39,539 | 65,530 | 167,974 | 65,252 | 819 | |
| Kings | 60,418 | 380,831 | 48,754 | 159,754 | 128,130 | 46,240 | 824 | |
| Kaweah | 21,446 | 81,261 | 48,712 | 243,845 | 69,972 | 560 | 466 | |
| Tule | 27,820 | 36,256 | 32,391 | 338,256 | 66,301 | 27,664 | 529 | |
| Kern | 75,548 | 483,344 | 33,194 | 110,519 | 121,613 | 443,526 | 1,268 | |
| East | Carson | 0 | 181,030 | 2,188 | 0 | 447 | 38,055 | 222 |
| Walker | 0 | 90,069 | 645 | 0 | 55,497 | 231,417 | 378 | |
| Mono Basin | 0 | 45,731 | 560 | 0 | 15,136 | 84,922 | 146 | |
| Crowley Lake | 0 | 201,885 | 3,307 | 0 | 1,602 | 237,789 | 445 | |
| Owens Lake | 0 | 54,286 | 0 | 0 | 0 | 101,290 | 156 | |
| Mojave | 0 | 8,405 | 1,883 | 11,197 | 4,735 | 185,505 | 212 | |
| 13,815 |
Note: See Section 2.2.1 for definition
of forest types.
3.3 Impacts on Sierra Nevada Forests
3.3.1 Human Settlement
Human settlement in forest ecosystems
results in a variety of effects on wildlife habitat, hydrology and fire
behavior. In Sierra Nevada forests human settlement has resulted in a decrease
in crown canopy cover, a reduction in tree density, and an introduction
of exotic tree species (McBride, Russell, and Kloss, 1996). The decrease
in crown canopy cover is examined here to infer effects on fire hazard,
hydrology, and wildlife habitat value that could be addressed through forest
restoration.
Human settlement affects fire protection
costs and losses by changing fire risk, fire hazard, and exposure of high
value forest assets. For example, increases in population, automobile traffic,
and recreation come with increases in the frequency of human-caused fires.
Also, settlement changes vegetation, in turn changing the behavior of fire.
For example, ladder fuelsÑsmall trees and brush which carry fire
into the canopyÑare often eliminated, lots are thinned to improve
access and views, and large, woody ground fuels are removed in higher use
areas. Added roads can improve access for fire suppression resources, but
they can also host more roadside fires.
Higher density settlements increase
fire ignition frequency. Regression analysis of ignition frequency and
population by the California Department of Forestry and Fire Protection
Fire and Resources Assessment Program (CDF FRAP) found a 189% increase
in annual fire starts per thousand acres when residential densities went
from 50-acre parcels to one-acre parcels (FRAP Website, 1998). Conversely,
most fire behavior theory predicts an increase in fire hazard with increasing
crown canopy cover. Thus the fragmentation occurring in the forest canopy
of the Sierra Nevada as a result of human settlement could actually lead
to a reduction in fire hazard if development extends over a large enough
area (McBride, Russell and Kloss, 1996).
Runoff of precipitation from settled
forest areas is greater than runoff from undeveloped forests, since interception
of precipitation by tree canopies is lower in developed areas and more
precipitation reaches the ground faster. Fewer trees results in less duff
and woody debris on the forest floor, reducing the absorptive capacity
of the land. Human settlements also introduce impervious surfaces like
roofs, driveways and streets that eliminate or greatly reduce infiltration
of precipitation, further altering the natural drainage of a forest.
Loss of canopy contributes to the observed
decline in wildlife species diversity along gradients of increasing urbanization,
while some well-adapted urban species increase in abundance. Where canopy
losses occur, understory vegetation is altered as well. Introduced species,
induced dominance of understory vegetation by opportunistic shade intolerant
species, or simply lots void of brush are alterations seen commonly in
settled areas (McBride, Russell and Kloss, 1996).
Residential Density
Throughout the Sierra Nevada approximately
32% of the land is outside of residential parcels, 62% is in parcels with
densities below a wildland threshold of 1du/32ac, and 6% is parceled and
settled at urban densities from less than 1 du/ac up to 1du/32 ac (Duane,
1996). This analysis focuses only on forest lands where densities are above
the wildland threshold where forest impacts are known to be most significant.
Approximately 87% of the regionÕs population lives within the areas
settled at densities above 1du/32.
The most heavily settled river basins
have over 90% of their population living at urban densities typically on
15% or less of the total land area. The Truckee River basin represents
the extreme case in which 98% of the population is living on about 16%
of the land area. The Walker River is the other extreme with 44% of its
population living on 1% of the watershed.
Housing densities generally reflect
the location of major urban centers in the Central Valley and the highways
that link them to the Sierra Nevada (Map 5). The most dense areas are found
in the Sierra Nevada foothills in Amador, El Dorado, Calaveras, Placer,
and Nevada counties. Lake Tahoe Basin and Mammoth Lakes also reflect the
higher density of Sierran recreational centers (Duane, 1996).
River basins with a large portion of
their forested lands settled at urban densities (greater than 1du/32ac),
include the Truckee (forest lands in urban densities occur in 14% of the
basin), Chowchilla-Fresno (13%), Carson (12%), Mokelumne and South Fork
American (11%), North Fork American/Bear River (10%) and the Yuba (8%)
(Table 3-3, Figure 3-1). The South Fork American/Consumnes basin
has the most forest land (over 100 thousand acres) settled in the higher
density classes (Map 6). The larger river basins (over one million
acres), including the Tuolumne, San Joaquin, Kings, and Kern have relatively
small portions of their forests dedicated to residential use (between 0.2
and 3.7%).
Table 3-3: Acres of Sierran Forest Settled at Densities Greater than
One Dwelling Unit/32 Acres, 1990
| Region | River Basin | Acres Of Settled Forest (Acres) |
| North | Mill-Big Chico-Butte Creeks | 21,221 |
| North Fork Feather | 15,298 | |
| E. Branch Of N. Fork Feather | 9,429 | |
| Middle Fork Feather | 20,817 | |
| Honey-Eagle Lake | 4,311 | |
| North Central | Yuba | 75,272 |
| N. Fork American-Bear River | 134,042 | |
| S. Fk. American-Consumnes | 145,629 | |
| Truckee River | 38,027 | |
| Lake Tahoe Basin (CA only) | 15,276 | |
| South Central | Mokelumne | 58,976 |
| Stanislaus-Calaveras | 61,404 | |
| Tuolumne | 59,419 | |
| Merced | 16,012 | |
| Southwest | Chowchilla-Fresno | 79,239 |
| San Joaquin | 32,847 | |
| Kings | 20,697 | |
| Kaweah | 13,763 | |
| Tule | 16,825 | |
| Kern | 18,316 | |
| East Side | Carson | 504 |
| Walker | 21 | |
| Mono | 1,080 | |
| Crowley Lake | 11,127 |
Figure 3-1: Settlement of Sierra
Nevada Forests, 1990
Source: Vegetation: GAP Vegetation and UCB FTP Site
(based on Holland, 1986), and Calveg (based on Parker and Mathias, 1977)
provided by CDF, 1997. Residential: Duane, 1996 based on 1990 Census.
Forest Structure Affected
The measurement of canopy loss in settled
areas was undertaken for SNEP in a study of woodlands and forests occurring
in portions of Sacramento, El Dorado, Amador, Nevada, and Calaveras Counties
(Table 3-4). The characteristics of the forests and woodlands in these
counties are typical of those farther north and south, and are similar
in direction to those reported for areas of human settlement in Jeffrey
pine forests in the Lake Tahoe Basin (McBride, Russell, and Kloss, 1996).
The SNEP study compared canopy cover on developed lots and undeveloped
lots and found measureably less canopy in developed lots. The study did
not address the fact that canopy in undeveloped lots may have been affected
by fire suppression. If undeveloped sites have higher canopy cover because
fire has not entered them in recent times, then the measured differences
between developed and undeveloped parcels would exaggerate the effects
of residential development on canopy loss.
| Percentage of Ground Covered by Tree Canopy |
| Parcel Size= | <1 acre | 3-5 acres | 10-20 acres | Average Cover | |
| Foothill Woodland | Developed | 43% | 70% | 52%a | |
| Undeveloped | 69% | 90% | 74% | 78% | |
| Lost Coverb | 35% | 8% | 26% | ||
| . Ponderosa Pine | Developed | 62% | - | - | |
| Undeveloped | 90% | - | - | ||
| Lost Cover | 28% | ||||
| Mixed Conifer | Developed | 64% | - | - | |
| Undeveloped | 92% | - | - | ||
| Lost Cover | 28% |
Foothill Woodland: Elevation 500-2,500 ft.; dominated by blue oak (Quercus douglasii); other common trees include maul oak (Q. chrysolepis), interior live oak (Q. wislizenii), and foothill pine (Pinus sabiniana)
Ponderosa Pine: Elevation 2,000-2,500 ft. in central Sierra Nevada; dominated by ponderosa pine (Pinus ponderosa); common trees include California black oak (Q. kelloggi) and incense cedar (Calocedrus decurrens) at higher elevations
Mixed conifer: Elevation 2,500-6,000 ft. in central Sierra Nevada; trees include ponderosa pine, incense cedar, white fir (Abies concolor), Douglas fir (Pseudotsuga menziesii), and sugar pine (P. lambertiana); California black oak is common.
a 52% is average of cover loss on area immediately around structures (houses, farm buildings, sheds) and the portion of property not adjacent to structures
b =(Average cover of
undeveloped lots) - (cover on developed lot)
Based on these measured values we extrapolated
cover losses in settled areas of oak woodland, ponderosa pine, and mixed
conifer vegetation types (Table 3-5). Conifer woodland, while extensively
settled in the northern and central Sierra Nevada, was not examined, since
no empirical data are available about the effects of residential development
in this forest type. The extrapolated cover losses were then used to quantify
average acres of canopy remaining in areas developed at five residential
densities (See Appendix Table A-1: Total Acres in Residential Development,
and Average Acres Under Forest Canopy Prior to, and Remaining After Development).
| Decrease in Percentage of Ground Covered by Canopy |
| Parcel Size= | <1 acre | 1-4 acres | 4-8 acres | 8-16 acres | 16-32 acres |
| Foothill Woodland | 30% | 29% | 22% | 15% | 8% |
| Ponderosa Pine | 28% | 22% | 16% | 10% | 2% |
| Mixed conifer | 28% | 22% | 16% | 10% | 2% |
Approximately 62,700 acres of forest
canopy are estimated to have been removed in these three forest types throughout
the Sierra Nevada. Mixed conifer forests bare the brunt of residential
development in the Sierra Nevada. Over 50 percent of settled forest lands
(over 250,000 acres excluding Tahoe and Big Chico-Mill-Butte basins) are
mixed conifer which occurs in a broad band between approximately 2,500
feet and 6,000 feet elevation in the central portion of its range. The
proportion of mixed conifer supporting housing is greatest north of the
Tuolumne River Basin. Over 29,000 acres of mixed conifer are settled at
densities above 1du/32 acres in the South Fork American and Consumnes Basins
alone. This has resulted in an estimated 23,366 acres of canopy loss. Over
51,000 acres are estimated to have been lost in the North Fork American
and Bear River Basins (Figure 3-2).
Development of the westside ponderosa
pine forests is greatest in the American, Bear, Consumnes, Tuolumne and
Mokelumne River Basins where almost 85,000 acres of this forest type are
settled with densities greater than 1 du/32ac. An estimated 18,000 acres
of ponderosa pine canopy loss has occurred range-wide. The Truckee River
Basin has lost an estimated 3,572 acres and the South Fork American approximately
3,000 acres. The Tahoe Basin has also seen substantial impacts (approximately
1,836 acres) in ponderosa pine canopy loss just on the California side.
Broadleaf forests are settled principally in Central and Southern portions
of the Sierra with the Chowchilla/Fresno Basin having the most acres of
housing in this forest type (36,141 acres). Five southern river basins
are the only ones in the Sierra where the majority of housing at urban
densities occurs in non-conifer forest types; these include, the Merced,
Chowchilla/Fresno, Kings, Kaweah, and the Tule River Basins. A prevalence
of oak woodland explains this trend except in the Merced and the Chowchilla/Fresno
where the broadleaf forest supports about 27% and 48% of the denser housing
in forested areas.
The non-coniferous forests of the Southwest
Basins have been affected the most by human settlement. Oak woodlands support
the higher residential densities on more than 158,000 acres (not including
Tahoe and Big Chico-Mill-Butte Basins) throughout the range. We estimate
that approximately 21,273 acres of canopy loss has occurred in oak woodlands
throughout the Sierra Nevada. The American, Bear, and Consumnes River Basins
have over 48,000 acres of Oak Woodlands developed at densities greater
than 1 du/32 acres, resulting in almost 8,000 acres of canopy loss in these
basins (Figure 3-3). Oak woodland canopy loss is also significant in the
Chowchilla-Fresno (approximately 2,877 acres lost), the Kaweah (approximately
1,298 acres lost) and the Tule (approximately 1,234 acres lost) Basins.
Approximately 4,500 acres of broadleaf
forest are developed at densities of 1/16-1/32 du/ac in the dispersed development
around Bootjack, in the Chowchilla-Fresno Basin (Figure 3-3). In the Fresno
River watershed alone, almost 20,000 acres of oak woodland around Oakhurst
and areas to the immediate south and west along highway 49 are no longer
wildlands, having been developed at densities greater than 1du/32ac. The
FresnoÕs watershed also has the greatest impacts in conifer and
mixed conifer within the basin.
3.3.2 Road-Impacted Waterways
Forest riparian systems are adversely
affected by road construction and maintenance. Roads cause the direct loss
of acreage of riparian areas, the direct loss of large trees, reduced structural
complexity of riparian and aquatic environments, reduced supply of large
woody debris to aquatic systems, reduced base flows with increased peak
flows in streams and rivers, gully development and accelerated downstream
sedimentation.
The type, distribution, and total miles
of roads that have impacted waterways in Sierra Nevada forests will never
be entirely known because of the regionÕs size. Nevertheless, we
undertook to estimate the overall scale of the problem using data available
for the whole region. Where there is a high density of riparian intrusion
by roads included in our source data (USGS 1:100,000 Scale Digital Line
Graph Maps), we infer the existence of a smaller network of skid trails
on lands managed for timber harvest, as well as other Òghost roadsÓ
known to exist but not on maps. The coarseness of the source data limits
the use of our results to that of indexing where further analysis of road
problems is required within the regionÕs 26 major river basins.
When combined with local knowledge of the condition of road networks, the
results will aid in prioritizing future analysis.
Figure 3-2
Figure 3-3
Where roads are less than 150 feet
from a waterway we infer their potential to impact the waterway. The use
of a fixed 150-foot buffer for an entire ecosystem is highly simplistic
since road effects are so variable. At a finer scale of analysis it would
be appropriate to employ variable widths based on: community area
(the area which provides for the living requirements of those organisms
dependent for their survival on the special conditions of the riparian
area); energy area (the area that supplies organic material and
attenuates the affects of solar radiation); and an index of slope distance
around the aquatic system equivalent, for example, to the height of a mature
tree in that location; and possibly other measurable risk factors (Kondolf,
Kattelmann, Embury and Erman, 1996).
Additionally, the effects of a road
on a stream can extend a considerable distance downstream from the road.
The estimates presented here focus on the source of the problemÑthe
roadÑand do not attempt to quantify the full extent of riparian
impacts caused by the road over time. Restoration efforts that eliminate
the source of the problem are the essential first step in restoring the
area impacted. The potential for a full recovery of the area is also dependent
on the inherent conditions on the site (geology, soils, slope, and climate)
and historical and current land use disturbance upslope of the site (e.g.,
impervious cover, reduced vegetation). If natural recovery processes do
not occur at a rate deemed acceptable, further intervention can be pursued.
Such intervention could require that many issues unrelated to forest management
be addressed (e.g., flow releases from reservoirs, grazing in forest meadows).
Distribution of Waterways Affected by Roads
Figure 3-4 shows the occurrence of
roads in forest riparian areas is most common in North Central Basins,
particularly the North Fork American/Bear, South Fork American/Consumnes,
and Stanisluas/Calaveras River Basins. These data are screened for the
six Sierra Nevada forest types and do not include roads in lands classified
as non-forest vegetation. Forest roads (includes minor streets but is principally
composed of roads and trails in wildlands) are the most likely to occur
in sensitive riparian areas due largely to their sheer abundance. However
major roads (e.g. interstate highways) and primary routes (e.g. undivided
and divided paved roads and streets) are significant in the North Central
Basins particularly.
Figure 3-4: Major, Primary,
and Forest Roads in Riparian Zones by Basin!
Restoration needs associated with roads
in the Sierra Nevada are greatest on roads built for harvesting timber.
The installed timber road base was not located, constructed, nor has it
been maintained, with adequate attention to protecting riparian and aquatic
environments. On the other hand, roads and streets constructed for other
purposes (e.g., select recreational routes, trans-Sierra routes, utility
service roads, fire roads, and roads and streets associated with human
settlement) are typically maintained for continued use and are managed
in a manner to minimize impacts beyond initial construction impacts.
The Feather River Basin has the most
miles of mapped forest roads within the 150-foot buffer of all the basins
of the Sierra Nevada (Map 7a, Table 3-6). Also heavily roaded are the North
Fork American/Bear and South Fork American/Consumnes Basins (Map 7b) (See
Appendix Table A-2 for breakout by HSA). The Mount Harkness (North Fork
Feather River Basin), South Fork American, and North Fork Consumnes Hydrologic
Sub Areas each have more than 80 miles of road entering riparian areas
The South Central and Southwest subregion
HSAs have approximately 450 and 470 miles of forest roads in riparian areas,
respectively (Map 7c, 7d). The upper Mokelumne has the most miles of riparian
roads of all HSAs in these subregions (approximately 85 miles). However,
the riparian areas in the Calaveras, Clavey, and Tuolumne River basins
suffer significant incursions by forest roads as well (Table A-2). The
riparian areas of the more arid and less forested East Subregion have fewer
miles of roads than other subregions (Map 7e).
Table 3-6: Forest Roads Within
150 feet of Riparian Areas in Select Hydrologic Sub-Areas
| RIVER BASIN | HSA | MILES | |
| North Fork Feather | 518.40 | Mount Harkness | 94.7 |
| 518.60 | N. Fk. W. Br. Feather | 17.4 | |
| 518.90 | 19.8 | ||
| 131.9 | |||
| E. Branch No. Fk. Feather | 518.51 | 11.2 | |
| 518.52 | 38.1 | ||
| 518.53 | 25.6 | ||
| 518.54 | 26.6 | ||
| 518.55 | 19.5 | ||
| 518.56 | 11.4 | ||
| 132.3 | |||
| Middle Fork Feather | 518.20 | Little Grass Valley (S.Fk. Feather) | 16.7 |
| 518.30 | Frenchman Lake (M. Fk. Feather) | 13.4 | |
| 518.32 | 29.3 | ||
| 518.33 | 39.1 | ||
| 518.35 | 32.4 | ||
| 518.80 | 7.6 | ||
| 138.6 | |||
| North Fork American | 514.20 | Auburn | 3.9 |
| 514.45 | 1.9 | ||
| 514.49 | 31.9 | ||
| 514.50 | N Fk. American (Blue Canyon) | 32.2 | |
| 514.60 | N. Fk American (Hell Hole) | 5.5 | |
| 514.90 | Snow Mountain | 7.5 | |
| Bear River | 516.20 | 15.1 | |
| 516.30 | Upper Bear (Rollins Reservoir) | 59.3 | |
| 157.3 | |||
| S. Fk. American/Consumnes | 514.30 | S. Fk. American (Union Valley) | 82.5 |
| 514.40 | M. Fk. American (Kyburz) | 31.2 | |
| 514.80 | 1.9 | ||
| 532.20 | North Fork Consumnes | 97.7 | |
| 213.3 |
Land Protection Status of Roads Affecting Waterways
An examination of the distribution
of potential road problems relative to forest protection status offers
insight into the likely condition of the roads, as well as the options
available for restoration. With 61 percent of the regionÕs total
miles of riparian roads occurring in private and unprotected lands, restoration
strategies will necessarily involve a full compliment of approaches that
advance the interests of private landowners (Table 3-7). Such approaches
will vary according to stakeholder interests which include everything from
industrial timber management to quality of life for residents. Approximately
23 percent of riparian roads are currently under management permitting
timber harvest and other multiple uses by the USDA Forest Service and other
federal land management agencies (Figure 3.5). The condition of roads under
these different regimes varies considerably. For example, USDA Forest Service
roads experience intense use beyond timber harvesting for recreation and
other uses. Their condition is often worse than roads in private areas
where access is controlled.
Table 3-7: Forest Roads in Riparian
Areas by Land Protection Status (Miles)
| REGION | RIVER BASIN | Class 1: Full Protection | Class 2: Mostly
Protected
(no grazing) |
Class 3: Mostly
Protected
(some grazing) |
Class 4: Other Public Land | Class 5: Private and Unprotected | TOTALS |
| North | Mill/Big Chico/Butte | 8.2 | 0.0 | 0.0 | 13.0 | 50.4 | 72 |
| No. Fork Feather | 1.3 | 3.0 | 7.6 | 39.1 | 80.7 | 132 | |
| E. Br. No.Fk.Feather | 0.4 | 13.9 | 27.9 | 58.0 | 32.2 | 132 | |
| Middle Fork Feather | 0.7 | 8.1 | 26.2 | 52.8 | 50.7 | 139 | |
| Honey-Eagle Lakes | 1.6 | 0.3 | 4.4 | 25.4 | 47.6 | 79 | |
| North Central | Yuba | 0.0 | 14.3 | 9.1 | 23.8 | 69.5 | 117 |
| North Fork American/Bear | 0.0 | 4.6 | 15.2 | 12.8 | 124.7 | 157 | |
| S. Fk. American/Consumnes | 0.0 | 13.2 | 22.7 | 31.4 | 144.7 | 212 | |
| Truckee | 0.2 | 0.4 | 10.1 | 13.2 | 24.0 | 48 | |
| Lake Tahoe Basin | 2.3 | 8.2 | 1.7 | 0.0 | 8.2 | 20 | |
| South Central | Mokelumne | 0.0 | 2.1 | 6.4 | 10.8 | 106.3 | 126 |
| Stanislaus/Calaveras Rivers | 0.8 | 10.3 | 28.3 | 20.0 | 130.5 | 190 | |
| Tuolumne | 2.2 | 4.6 | 9.9 | 19.6 | 53.0 | 89 | |
| Merced | 4.0 | 0.9 | 7.8 | 9.4 | 23.5 | 46 | |
| Southwest | Chowchilla/Fresno Rivers | 0.0 | 0.0 | 5.1 | 2.1 | 79.8 | 87 |
| San Joaquin | 0.9 | 1.6 | 12.0 | 14.0 | 29.0 | 58 | |
| Kings | 0.7 | 1.0 | 8.5 | 6.8 | 47.9 | 65 | |
| Kaweah | 2.6 | 0.0 | 0.3 | 1.6 | 44.6 | 49 | |
| Tule | 0.0 | 1.5 | 8.5 | 1.6 | 57.7 | 69 | |
| Kern | 0.2 | 2.4 | 12.4 | 27.1 | 94.2 | 136 | |
| East | Carson | 0.2 | 0.0 | 3.5 | 19.5 | 4.2 | 27 |
| Walker | 0.0 | 0.0 | 0.1 | 34.0 | 7.0 | 41 | |
| Mono Basin | 1.0 | 0.6 | 0.4 | 7.9 | 0.3 | 10 | |
| Crowley Lake | 3.9 | 4.0 | 0.2 | 29.8 | 1.3 | 39 | |
| Owens Lake | 0.3 | 0.2 | 1.6 | 0.1 | 0.0 | 2 | |
| Mojave | 0.1 | 0.0 | 1.9 | 24.9 | 22.7 | 50 | |
| TOTALS | 31.6 | 95.2 | 231.8 | 498.7 | 1,334.7 | 2,192 |
Figure 3-5: Forest Roads in
Stream Zones by Land Protection Status
Forest Types and Roads Affecting Waterways
The forest type in which riparian roads
occur further characterizes the potential for road damage, and consequently,
constrains the selection of restoration activities. Oak woodlands, for
example are a forest type affected extensively in the South Basins. The
Kern River Basin has 35 percent of its forest riparian roads in the Oak
Woodlands where slopes are more gentle and canopy cover is less than higher
elevation conifer forest (Figure 3-6). Roads constructed on gentle slopes
require fewer drainage structures (e.g., culverts), less cut and fill,
and less costly restoration. Additionally, the extensive network of relic
roads, unmapped skid trails, and haul roads associated with commercial
conifer forests and old mining areas is far less common in broadleaf, oak
woodland, and the non-commercial conifer woodland forests.
The Yuba, North Fork American/Bear,
and Stanislaus/Calaveras River Basins represent a range of forest types
in which roads potentially impact riparian areas. Mixed conifer is the
most common forest type where these potential impacts occur, followed by
the conifer woodland type. West side ponderosa pine, other conifers, and
oak woodland, are all host to potential riparian road impacts in these
basins (Figure 3-6).
Figure 3-6: Potential Riparian
Road Impacts among Forest Types in Select Basins
Source: 150-Foot buffer applied to Roads and Hydrology:
USGS 100K Digital Line Graph, 1993; Vegetation: GAP Vegetation and UCB
FTP Site, Holland, 1986, and Calveg (Parker and Mathias, 1977) provided
by California Department of Forestry and Fire Protection, 1997.
3.3.3 Fire Suppression
The Sierra Nevada is a fire-adapted
system. However, fire suppression throughout most of the twentieth century,
combined with landuse intensification, has dramatically altered the natural
fire regimes of the Sierra Nevada. These regimes, while variable from place
to place, are generally characterized as supporting high frequency, low
intensity fires. In lower elevations and in canyons on the west slope,
fire returned every three to five years in dry ponderosa pine forests,
and every 15-35 years or more in moist fir forests. In some true fir and
lodgepole stands above 10,000 feet, these low-intensity surface fires occurred
every 200-300 years (McKelvey, et al, 1996, USDA Forest Service, Pacific
Southwest Region, 1997).
Both live and dead fuels in todayÕs
conifer forests are more abundant and continuous than in the past. And
while there is insufficient evidence to deduce a precise pattern of fire
frequency or severity in presettlement times, there is a recognized need
to restore aspects of a more natural fire regime to promote the health
of the forest ecosystem (SNEP, Volume 1, 1996). Forest restoration with
respect to the role of fire will require fuel reduction through a combination
of mechanical treatments and burning.
Fire frequency is often expressed in
terms of Fire Return Interval, or the period of time between fires. Large
fires (greater than 300 acres in size) occur throughout the Sierra Nevada
at varying Fire Return Intervals (FRI). This variability in frequencies
as well as in fire intensities has contributed to the current mosaic of
vegetation. One probabilistic analysis performed for SNEP identified FRIs
based on 39,986 fire records from the period 1981-93. The relative frequency
and regional trends identified in this analysis are believed to be a reflection
of actual likelihood of large fire, and contribute to our understanding
of the risk of fire throughout the Sierra Nevada (Sapsis, et al, 1996).
Fire Return Intervals range from less
than 100 years to greater than 10,000 years in the Sierra Nevada. The two
most frequent FRIs in the SNEP analysis are 1-100 years, and 100-250 years.
Since these FRIs are of the same temporal scale as are human activities
(including fire suppression) that have altered fire regimes of the region,
we infer that the landscapes on which they occur are those whose fire regimes
have been most affected by fire suppression policies and land use disturbance.
Areas with infrequent fire are less likely to have had fire suppression
activities occur on them and are therefore less likely to have un-natural
or excessive fuel accumulations.
We conclude that from the regional
perspective, these 1-250 year Fire Return Interval areas capture the portion
of the landscape over which fuels management should be a high priority.
Specific fuels management prescriptions can not be derived from regional
data, but a range of options, from assessment to biomass removal, can be
defined when these data are combined with vegetation type, land management
status, and adjacency to high value forest assets such as late successional
forests.
The Distribution of Areas with High Probability for Large Fires
The North Central river basins have
the greatest number of acres in the two frequent FRI classes (Table 3-8).
The North Fork American-Bear and South Fork American-Consummes have over
300,000 acres each in the two FRI classes. However, the Truckee River Basin
has approximately 75,000 acres where 300 acre fire is expected to occur
in the next 250 years. This area is centered around the most intensively
settled portion of the basin. The Stanislaus-Calaveras and San Joaquin
Basins farther south have over 260,000 acres each on which large fires
are expected at least once every 250 years. Both of these basins reveal
a more dispersed pattern of areas with greater likelihood of experiencing
large fires (Maps 8c, 8d). See Appendix Table A-2 for distribution of FRIs
among river basins and HSAs.
| 1-100 Yr | 100-250 Yr | 544,625 | ||||
| NORTH | 124,629 | 419,996 | ||||
| Mill/Big Chico/Butte Creek | 28,812 | 63,579 | ||||
| No. Fork Feather | 52,649 | 94,050 | ||||
| E. Br. No.Fk.Feather | 0 | 49,797 | ||||
| Middle Fork Feather | 38,288 | 107,371 | ||||
| Honey-Eagle Lake | 4,880 | 105,199 | ||||
| NORTH CENTRAL | 333,113 | 738,971 | 1,072,084 | |||
| Yuba | 107,232 | 124,023 | ||||
| N. Fk. American/Bear | 118,454 | 267,049 | ||||
| S.Fork American/Consumnes | 92,187 | 245,339 | ||||
| Truckee | 15,240 | 59,909 | ||||
| Lake Tahoe Basin (CA only) | 0 | 42,651 | ||||
| SOUTH CENTRAL | 130,931 | 636,947 | 767,878 | |||
| Mokelumne | 10,964 | 140,407 | ||||
| Stanislaus/Calaveras | 45,291 | 239,646 | ||||
| Tuolumne | 64,058 | 163,372 | ||||
| Merced | 10,618 | 93,522 | ||||
| SOUTHWEST | 246,404 | 785,178 | 1,031,582 | |||
| Chowchilla-Fresno | 46,972 | 106,097 | ||||
| San Joaquin | 47,812 | 221,361 | ||||
| Kings | 68,676 | 137,025 | ||||
| Kaweah | 36,022 | 97,087 | ||||
| Tule | 34,532 | 77,026 | ||||
| Kern | 12,390 | 146,582 | ||||
| EAST SIDE | 15,010 | 196,916 | 211,926 | |||
| Carson | 0 | 38,071 | ||||
| Walker | 0 | 25,100 | ||||
| Mono Basin | 1,130 | 28,230 | ||||
| Crowley Lake | 13,470 | 98,112 | ||||
| Owens Lake | 410 | 6,760 | ||||
| Mojave | 0 | 643 | ||||
| TOTAL | 3,628,095 | |||||
Land Protection Status and Large Fire Probability
The landscape in which large fires
are more frequent is mostly private. Almost 77 percent of all acres in
the 1-100 Year FRI class are in the private and unprotected Land Protection
Status (Figure 3-7). Less than six percent of all acres in either FRI class
are under a land protection status which emphasizes the natural role of
fire and allows prescribed burns and managed wildfires (Class 1). This
percentage would be higher if only forest vegetation were examined. (Table
3-9). Some basins however do have a larger portion of their total landscape
under management that supports natural fire regimes. The Kaweah Basin,
for example, includes over 25,000 acres in Sequoia National Park which
is expected to burn at less than 100-year intervals. Compared to other
basins the Kaweah Basin would be a lower priority for aggressive fuel reduction
activities.
Figure 3-7: FRI<100 histograms
Table 3-9 (landscape format
FRI/MgmtClass)
Forest Type and Large Fire Probability
Forest vegetation type determines to
a great degree fuels management approaches, irrespective of the assumed
frequency of large fires. For example, the strategy for restoring natural
fire to an oak woodland will be very different from the strategy applied
to a west side ponderosa pine forest. We further stratified the findings
of the FRI analysis by overlaying forest vegetation onto the areas in the
two most frequent FRIs. Approximately 30 percent of acres with 1-100-year
FRI, and 24 percent of acres with 100-250-year FRI, are broadleaf and oak
woodland forests, respectively (Table 3-10). Fuel management in these forests
will typically involve less treatment of ground fuel and less thinning
than management in conifer forests. However, human settlement in the lower
elevation oak woodlands, broadleaf forests, and conifer woodlands will
create more complexity in fuel management strategies due to the presence
of people and structures.
Mixed conifer forests contain 30 percent
of the acres with calculated fire return intervals of less than 250 years
region-wide (Table 3-10). The North Fork Feather, Yuba, and North Fork
American/Bear River Basins contain the most acres of mixed conifer with
these fire frequencies. More than 160,000 acres of conifer woodland are
in the 1-100-year FRI range-wide, making it the second most common forest
type with a propensity to burn at this frequency. From these data we conclude
that the distribution of candidate areas for high priority fuel management
is concentrated in the North Central and Southwest Basins, and that the
proportion of non-coniferous forest types within the distribution increases
southward.
Table 3-10: acres in forest
type Outveg
3.4 Estimated Restoration Needs
3.4.1 Problem Summary
The northern and central portions of
the Sierra Nevada are in greatest need of forest restoration. In these
areas, less land is under protective status, extensive human settlement
is occurring, and the combined effects of human disturbance have undermined
the biological integrity of forests. Nearly 66,000 acres of canopy loss
in three dominant forest types is estimated to have occurred as a result
of residential development in the entire Sierra Nevada (Table 3-11). Canopy
loss is an indicator of where the structure and composition of the forest
has been altered from its natural state, and points to areas that could
be improved through restoration. The greatest need for conifer forest restoration
in settled areas is in the American, Mokelumne and Yuba River Basins. Over
21,000 acres of canopy loss are estimated in oak woodlands alone, with
greatest impacts in the American River Basin and certain southwestern river
basins.
A minimum of 2,000 miles of forest
roads are located in the sensitive riparian areas of the Sierra Nevada.
The potential for these roads to require major improvements, relocation,
or closure is significant, particularly in areas which are part of the
active timber base (23% are on lands managed for timber). Restoration needs,
as well as the opportunities to address them, may be fewer on the 61% of
road miles located on private lands. The greatest need to address the problem
is found in the Feather, American and Stanislaus River basins.
Throughout the Sierra Nevada there
are almost 3.5 million acres of land to which fire returns at 250 year
intervals. These areas include both wildland and urban intermix areas where
fire suppression and other land use activities of the past century have
likely resulted in altered fuel profiles making these forests a high priority
for fuels management. Before fire is allowed to reenter many of these areas,
fuel loads will need to be reduced mechanically.
3.4.2 Prioritizing Restoration
The estimates in Table 3-11 represent
areas in greatest need of attention and do not necessarily capture all
areas that could benefit from restoration. For example, there are certainly
some roads in protected areas that need restoration, but they are not included
in the total miles, since the existing management emphasis in these areas
is assumed to exclude higher intensity uses, and to address restoration
needs as they are identified. Furthermore, we recognize that assessments
of the need for restoration made at the local, or, project level, will
determine the final pattern of forest restoration. Nevertheless, these
figures provide the regional view that has not been available before now.
The location of high value forest assets,
including giant sequoia groves (Map 9), late succession/old growth forests
(Map 10), and other ecologically significant natural areas (Map 11), should
be considered in prioritizing restoration activities. (Also see Appendix
Table A-3 for a list of giant sequoia groves and their sizes in each river
basin). For example, fuel management should be pursued first in areas where
the risk of high intensity fire threatens to damage nearby assets.
The arrangement of data by river basin
also permits a comparison of forest restoration needs with more encompassing
watershed restoration needs. Aquatic ecosystems of many Sierra Nevada watersheds
have been evaluated in previous studies. The findings of these studies
could also aid in prioritizing where forest restoration activities should
happen first. The maps of forest assets presented in this report enable
the reader to examine the question of proximity. However, it is beyond
the scope of this report to consider this issue in greater detail.
Table 3-11 : Summary of Forest
Restoration Needs in the Sierra Nevada
| AREA REQUIRING
FUEL MANAGEMENT
ACRES |
RIPARIAN ROAD
in
MILESc |
CANOPY LOSS in
ACRES |
| RIVER BASIN | TOTAL | Urban Intermixa | Wildlandsb |
| NORTH | 532,662 | 16,203 | 3% | 516,459 | 97% | 516 | 8,592 |
| Mill-Big Chico-Butte | 88,368 | 4,287 | 5% | 84,081 | 95% | 63 | 5,316 |
| North Fork Feather | 143,146 | 5,083 | 4% | 138,063 | 96% | 127 | 1,591 |
| E. Br. N. Fork Feather | 49,810 | 932 | 2% | 48,878 | 98% | 118 | 1,122 |
| Middle Fork Feather | 141,632 | 5,169 | 4% | 136,463 | 96% | 130 | 366 |
| Honey-Eagle Lake | 109,706 | 732 | 1% | 108,974 | 99% | 77 | 197 |
| NORTH CENTRAL | 1,070,176 | 215,756 | 20% | 854,420 | 80% | 511 | 31,618 |
| Yuba | 231,130 | 35,042 | 15% | 196,088 | 85% | 102 | 5,294 |
| N. Fork American/ Bear | 385,428 | 80,027 | 21% | 305,401 | 79% | 153 | 9,739 |
| S. Fk. Amer.-Consum. | 337,008 | 79,797 | 24% | 257,211 | 76% | 199 | 10,987 |
| Truckee River | 74,782 | 13,518 | 18% | 61,264 | 82% | 47 | 3,692 |
| Lake Tahoe Basin (CA) | 41,828 | 7,372 | 18% | 34,456 | 82% | 10 | 1,906 |
| SOUTH CENTRAL | 732,548 | 102,508 | 14% | 630,040 | 86% | 425 | 13,644 |
| Mokelumne | 151,309 | 28,515 | 19% | 122,794 | 81% | 123 | 4,868 |
| Stanislaus-Calaveras | 282,590 | 31,516 | 11% | 251,074 | 89% | 179 | 3,943 |
| Tuolumne | 209,148 | 36,692 | 18% | 172,456 | 82% | 83 | 3,933 |
| Merced | 89,501 | 5,785 | 6% | 83,716 | 94% | 41 | 900 |
| SOUTHWEST | 866,356 | 41,537 | 5% | 824,819 | 95% | 453 | 10,772 |
| Chowchilla-Fresno | 153,039 | 18,918 | 12% | 134,121 | 88% | 87 | 3,939 |
| San Joaquin | 263,452 | 11,052 | 4% | 252,400 | 96% | 55 | 1,557 |
| Kings | 152,524 | 7,176 | 5% | 145,348 | 95% | 63 | 1,758 |
| Kaweah | 47,161 | 1,530 | 3% | 45,631 | 97% | 47 | 1,441 |
| Tule | 108,757 | 2,344 | 2% | 106,413 | 98% | 68 | 1,750 |
| Kern | 141,423 | 516 | 0% | 140,907 | 100% | 134 | 327 |
| EAST | 202,421 | 2,543 | 1% | 199,878 | 99% | 159 | 1,089 |
| Carson | 37,709 | 132 | 0% | 37,577 | 100% | 27 | 66 |
| Walker | 25,100 | 1 | 0% | 25,099 | 100% | 41 | 1 |
| Mono | 28,670 | 16 | 0% | 28,654 | 100% | 9 | 191 |
| Crowley Lake | 103,504 | 2,394 | 2% | 101,110 | 98% | 31 | 832 |
| Owens | 6,780 | - | 0% | 6,780 | 100% | 2 | - |
| Mojave | 658 | - | 0% | 658 | 100% | 50 | - |
| 3,404,163 | 378,546 | 11% | 3,025,617 | 89% | 2,065 | 65,714 |
b Wildlands=(Total private wildland acres in 1-250 Year FRI) + (Total 1-250 Year FRI in the non-private Land Protection Classes 2, 3 and 4). Class 1, Protected Lands, are not included in total, since fire is currently used as a management tool and the need for fuels reduction is assumed to be less.
cIncludes
only miles of riparian roads (within the 150-foot buffer) in Land Protection
Status Classes 3, 4 and 5. Classes 1 and 2 (Protected and Mostly Protected
Lands) are not included, since management emphasis in these areas is assumed
to allow lower intensity use.
PART II.
ECONOMIC EFFECTS OF FOREST RESTORATION
The remainder of this report is
devoted to exploring the economic implications of conducting forest restoration
in the Sierra Nevada. We do this by first presenting an overview of the
regionÕs economy in order to understand the context in which restoration
will happen. We also describe the Sierra NevadaÕs shift away from
a resource extraction based economy toward one in which other ecosystem
contributions are increasingly important.
4.1 Overview of RegionÕs
Economy
Recent assessments of the Sierra
Nevada economy describe the region as one that has undergone considerable
change in the past two decades. Of greatest significance is the change
toward increasing diversification in economic activity as measured in both
employment and business enterprise. Many of the findings of these previous
assessments are reviewed here along with more recent data on population,
employment, and the value of ecosystem services and commodities.
4.1.1 Population
As population increases within a
region, so does economic activity. Conversely, as economic conditions falter,
population growth will slow, or even reverse. The Sierra Nevada has seen
rapid growth in population since 1970 and it is expected to continue growing
at a rate faster than that of California as a whole (Table 4-1 and Figure
4-1). Most of the growth has occurred in and around the existing population
centers along the western foothills and in a few towns on the East Side.
Table 4-1 Projected Population
Growth for Sierra Nevada Countiesa
| 1996 | 631,960 |
| 2000 | 717,400 |
| 2010 | 918,400 |
| 2020 | 1,110,200 |
aSee Appendix Table
A-4 for counties included in Sierra Nevada and for individual county populations
since 1970.
Recent population trends in the
Sierra Nevada reveal a strong link to the StateÕs economy. When
compared to the rest of California, the Sierra Nevada is the only region
where net domestic in-migration remained positive throughout the 1990-96
period (Stewart, 1997). The movement of people out of coastal areas to
the Sierra Nevada or other states, driven by the loss of jobs in coastal
counties during the recession of the 1992 and 1993, explains most of the
change in population across the state. The other main components of population
change (births, deaths, and foreign immigration) were less significant.
As the coastal economies improve, the contribution of domestic in-migration
to the Sierra NevadaÕs growing population can be expected to lessen.
4.1.2 Personal Income
Personal income, a critical indicator
of the populationÕs social and economic well-being, has remained
high in the Sierra Nevada, but is derived less from local employment today
than in the past. The Sierra Nevada has seen increases in commute wages,
earned by residents who leave the county, as well as increases in unearned
income from capital payments (interest, dividends, rental income), and
transfer payments (social security, welfare, disability, unemployment insurance)
(Figure 4-2). This shift in personal income sources in the past twenty
years is driven primarily by the movement of new residents into the region
(Stewart, 1996). These regional figures on personal income are strongly
affected by rapid growth in three North Central counties, Nevada, Placer,
and El Dorado, in the Yuba and American River Basins (See Map 2 of Counties
and River Basins of the Sierra Nevada). The relative changes in sources
of personal income are smaller in the less populous regions of the Sierra
Nevada.
Figure 4-2: Changing Composition
of Personal Income for Sierra Nevada
Source: U.S. Department of
Commerce, Bureau of Economic Analysis, Regional Economic Information System
On-Line
4.1.3 Poverty
Poverty in the Sierra Nevada increased
from the period 1980 to 1990 (Table 4-2). Throughout this period half of
the forest counties had poverty rates above the state average. Nonmetro
poverty rates exceed those of metro areas in the Sierra Nevada, as is typical
in the West (Hoffmann and Fortmann, 1996). In 1989, 5.2 percent of the
people in CaliforniaÕs nonmetro areas were in deep poverty (defined
as a family income of less than 50% of the poverty level) (Hoffmann and
Fortmann, 1996). Alpine and Tehama Counties were two of ten nonmetro counties
which had poverty rates above the 1990 average. Yuba, Butte, Tulare, and
Madera CountiesÑwhose economic conditions are strongly tied to Sacramento-San
Joaquin Valley agricultureÑhad 1990 poverty rates above the state
average for metro counties. These county-level data suggest that while
low incomes often prevail in the Sierra Nevada, the population generally
is not afflicted by deep poverty.
4.1.4 Employment
Job growth continues to outpace
population growth in the region, but at a slower rate since 1993 (Figure
4-3). The overall strong trend in job growth suggests that the Sierra Nevada
will continue producing jobs for local residents even as population growth
and other sources of personal income continue to rise.
Since 1978, half of the regionÕs
local work force has been employed in small businesses (less than 20 people)
adding diversity to employment opportunities as well as producing a broad
range of goods and services for the region (SBC, 1996). The number of small
businesses has nearly doubled since 1978 (Table 4-3).
Overall unemployment rates in
the Sierra Nevada have dropped from what had been some of the highest in
the state. However, with the exception of the three North Central counties,
the jobless rate is still higher than that of the state as whole (Figure
4-4). Improved unemployment rates in the Sierra Nevada follow the pattern
of California as it emerges from the recession earlier in the decade of
the 1990s.
Table 4-2: Poverty Rates
in Sierra Nevada Timber Counties
| Countya | Metro/
Nonmetro |
Poverty Rate
1980 (State Average, 11.8%) |
Poverty Rate 1990
(State Average, 12.5%; Metro Average, 12.4%; Nonmetro Average, 14.9%) |
Deep Poverty
1989b (Nonmetro Average, 5.2%) |
| NORTH | ||||
| Tehama | Nonmetro | 12.9 | 15.3 | 5-7% |
| Lassen | Nonmetro | 10.3 | 13.3 | <5% |
| Yuba | Metro | 16.1 | 19.5 | Ñ |
| Butte | Metro | 15.0 | 18.9 | Ñ |
| Plumas | Nonmetro | 9.7 | 11.9 | <5% |
| Sierra | Nonmetro | 12.9 | 9.2 | <5% |
| NORTH CENTRAL | ||||
| El Dorado | Metro | 8.7 | 7.7 | Ñ |
| Nevada | Nonmetro | 8.7 | 7.7 | <5% |
| Placer | Metro | 8.6 | 7.1 | Ñ |
| SOUTH CENTRAL | ||||
| Amador | Nonmetro | 9.0 | 8.4 | <5% |
| Calaveras | Nonmetro | 10.1 | 10.1 | <5% |
| Mariposa | Nonmetro | 11.5 | 12.7 | <5% |
| Tuolumne | Nonmetro | 11.9 | 9.1 | <5% |
| SOUTH | ||||
| Tulare | Metro | 16.5 | 22.6 | Ñ |
| Madera | Metro | 15.7 | 17.5 | Ñ |
| EAST | ||||
| Alpine | Nonmetro | 18.8 | 18.1 | 5-7% |
b Nonmetro counties only. Deep poverty is defined as a family income less than 50% of the poverty level.
Metro areas usually include an urbanized area with a population nucleus of 50,000 or more, as well as nearby communities that are economically and socially integrated with that nucleus.
Source: Hoffmann and Fortmann,
1996: based on Bureau of Census 1983; and Nord, 1995.
Figure 4-3: Job Growth Outpacing Population Growth in Sierra Nevada
Source: Jobs: U.S. Department of
Commerce, County Business Patterns (Total for all Industries), on-line
data; Population: California Department of Finance, on-line data.
Table 4-3: Small Businesses in
the Sierra Nevada 1978-1995a
| North | North Central | South Central | East | Sierra Total | |
| 1978 | 488 | 5,019 | 1,853 | 739 | 8,099 |
| 1981 | 522 | 5,505 | 1,983 | 841 | 8,851 |
| 1985 | 664 | 8,091 | 2,812 | 1,010 | 12,577 |
| 1988 | 651 | 9,330 | 3,074 | 1,001 | 14,056 |
| 1993 | 703 | 10,526 | 3,293 | 1,087 | 15,609 |
| 1995 | 714 | 10,780 | 2,733 | 1,018 | 15,245 |
Source: U.S. Department of Commerce,
County Business Patterns.
Figure 4-4: Annual Unemployment in Sierra Nevada, 1992-1997
Subregions with high unemployment include
the more remote, less populated areas of the Sierra Nevada. In theses regions,
seasonal unemployment accounts for most of the high annual rate (Figure
4-5). The seasonality of employment reflects the fact that both timber
and recreational activities decline in the winter months due to the difficulty
caused by harsh weather. Many forest restoration activities would also
be constrained by winter weather and as a result may do little to offset
high seasonal unemployment rates. The Sierra Nevada Ecosystem Project concluded
that economic diversification through growth in less seasonal industries
appears to be critical for reducing unemployment throughout the region
(Stewart, 1996).
Figure 4-5: Average Seasonal Unemployment in Sierra Nevadaa
aAverage of 1993, 1995
and 1997.
Gender Representation in Regional
Employment
The proportion of men working in occupations
throughout the region is greater than that of women. Data from the 1990
Census indicate that men dominate in every occupational category except
retail and technical, sales, and administrative support (Figure 4-6). The
pattern is even more pronounced in occupations tied to resource extraction
like forestry and logging (Figure 4-7).
Figure 4-6: Gender Participation in Occupations in the Sierra Nevada
Figure 4-7: Gender Representation in Timber Employment, Subregions of Sierra Nevada
4.2 Shift Away from Resource Commodity-Based
Economy
Economic diversification in the Sierra
Nevada has resulted in a shift away from resource commodity-based activities
towards the production of goods and services that are not directly tied
to the regionÕs natural resources. Over the past twenty years, the
timber, ranching, agriculture, and mining sectors remained relatively stable
while the rest of the economy doubled (Stewart, 1996).
One effect of increased economic diversification
is to buffer the region's economy from changes that occur within any one
sector. Direct ecosystem commodity and service sectors remain large components
of the Sierra Nevada economy and distinguish this region from others in
the state. However, the possibility that a downturn in any single industry
could send the region into a recession is considered to be remote (Stewart,
1996). Diversification, and the strength it implies for the economy, is
what we see when we broaden the scale of our analysis, but it is less evident
when we focus on smaller regions or the community level. What holds for
the entire region then, does not necessarily hold for subregions and more
local areas of the Sierra Nevada.
4.2.1 Producing Goods and Services
Overall, the region in 1990 generated
goods-producing and service-producing employment in the same proportion
that it did in 1970, but the emphasis shifted away from jobs directly linked
to resource commodities and towards other types of manufacturing and non-commodity
based recreation and tourism (Figure 4-8). Still, ecosystem-related wages
constituted over 40% of all basic wages in 1990 (Stewart, 1996). The expanded
personal income and demand for a broader range of goods and services that
have accompanied population growth, are key factors in explaining this
shift, as are changes in commodity prices and governmental policies affecting
resource extraction.
Figure 4-8: Sierra Nevada Goods- and Service-Producing Employment, 1990
Source: 1990 Census as presented by Stewart, 1996.
aGoods Producing: Agriculture and mining, manufacturing, and construction. Service Producing: High wage, low wage, public administration.
Goods/ServiceSectors
High wage service jobs are those
with above average compensation. They include: communications, transportation,
wholesale trade, finance, insurance, real estate, health, education and
other professional services. Low wage (below average) service jobs
are retail dominated and include: entertainment, recreation, business repair,
retail trade, lodging and related services.
In parts of the less populous South
Central and the East Sierra Nevada, the regional trend did not hold from
1970 to 1990 and local goods-producing jobs declined, from 31 to 27 percent,
and 28 to 20 percent, respectively (Stewart, 1996). For the individual
worker this could mean a drop in wages, since service jobs pay less than
equivalent-level goods-production jobs. In other words, a worker shifting
form goods-production to services would have to move into a higher-skilled
service job to make the same money (Powers, 1996). However, there are many
more higher-skill jobs in services than in goods so the effect may be less
apparent when local employment is examined overall. In the Sierra Nevada,
every region but the East has more high wage service jobs than low wage
service jobs (Figure 4-9) (SBC, 1996).
Figure 4-9: High and Low Wage
Service Sector Jobs in Sierra Nevada Subregions, 1990
4.2.2 Lumber and Wood Products
Timber has been an important resource
commodity in the Sierra Nevada since the middle of the last century. There
are currently some 2.4 million acres of private timber lands and 4.6 million
acres of federal land on which commercial timber harvesting is allowed
in the region (Stewart, 1996). Harvest levels reached a nadir in 1982 due
to large fluctuations in timber markets (Figure 4-10). After peaking again
in the later part of that decade, total harvest volume began dropping and
has been at relatively stable levels since 1994. The portion of the harvest
from federal land has declined in the 1990s more or less in proportion
to total harvest (Figure 4-11).
Figure 4-10: Total Timber Harvest for the Sierra Nevada by Subregion, 1978-1997
Source:
California State Board of Equalization data, provided by Russell Henley,
CDF FRAP.
Figure 4-11: Timber Harvest from Federal Lands, 1991-1997

TodayÕs timber harvest continues
to drive employment in lumber and wood products by providing the basic
raw material for the industry. However, todayÕs lumber and wood
products industry is structured in such a way that the direct relationship
between harvest and employment has become more variable from place to place.
Lumber and wood products employment includes logging, sawmills and planing
mills, and production of millwork, plywood and structural members, wood
containers, mobile homes, prefabricated wood buildings, wooden furniture,
and fixtures (Office of Management and Budget, 1987). The industry largely
restructured during the early 1980s as material prices fluctuated in the
market and industry was forced to make changes that resulted in greater
consolidation, higher efficiency at the mill, and a new emphasis on remanufacturing
of wood products which are farther downstream in the path from raw material
to finished product (Stewart, 1993).
Throughout the period 1984-1994, lumber
and wood products employment as a percentage of total county employment
ranged from less than four percent to as much as 25 percent in individual
Sierra Nevada counties. Amador, Plumas, Sierra and Tehama Counties saw
rates of 10-25 percentÑall showing a declining percentage except
for Sierra County which ended the decade at around 20 percent. Lumber and
wood products employment was at or below four percent in Butte, El Dorado,
Nevada, Placer, Calaveras, Mariposa, Madera, and Tulare Counties. Tuolumne
County saw slightly higher employment in the sector through most of the
period 1984-94, but ended the decade at approximately four percent (Hoffmann
and Fortmann, 1996).
Logging and sawmilling employment,
one component of all lumber and wood products manufacturing, has been variable
across the region but has declined significantly in the 1990s after the
previous decade saw both increases and decreases in the north and south
(Figure 4-12).
Figure 4-12: Logging and Sawmilling Employment in the Sierra Nevada, 1978-1994

North includes Lassen County.
By comparison to logging and sawmilling, the remanufacturing portion of total lumber and wood products employment demonstrates the increasing importance of remanufacturing in attenuating the effects of fluctuations in harvest levels (Figure 4-13). This is due in part to the fact that remanufacturing facilities draw on sources for raw material beyond the Sierra Nevada, including the states of Oregon and Washington.
Figure 4-13: Remanufacturing Employment in the Sierra, 1978-1994

North includes Lassen County.
RemanJobs
4.2.3 Recreation and Tourism
The SNEP Economic Assessment concluded
that the recreation and tourism industry is the single largest employment
sector in the Sierra Nevada. The report examined employment in private
businesses involved in recreation and tourism, including: lodging, restaurants,
retail, direct recreational services such as ski resorts, rafting companies,
sports equipment suppliers, and guide services. Employment in travel includes
many jobs unrelated to tourism and recreationÑit is pulled out of
the total to isolate the contribution of jobs from non-travel recreation
and tourism (Table 4-4). According to SNEP, approximately one-third of
employees and expenditures relating to travel and recreation are derived
from local residents, while the remaining two-thirds come from visitors
to the region (Stewart, 1996). This estimate does not include the hundreds
of state and federal employees serving tourist in the region. The Tahoe
region supplies more than half of the recreation and tourism related jobs
in the entire Sierra Nevada while relatively few jobs are provided by the
foothill and conifer zones on the west side of the Pacific Crest.
Table 4-4 Travel and Tourism
Related Employment
| Travel, Recreation and Tourism | Recreation and Tourism Only |
| Lodging, Recreation | Restaurants | TOTAL | Lodging, Recreation | Restaurants | TOTAL | ||
| North | 2,397 | 1,027 | 3,424 | 932 | 399 | 1,331 | |
| North Central | 4,427 | 1,897 | 6,324 | 1,258 | 539 | 1,797 | |
| South Central | 3,625 | 1,554 | 5,179 | 2,054 | 880 | 2,934 | |
| South | 1,639 | 702 | 2,341 | 658 | 282 | 940 | |
| East | 1,885 | 808 | 2,693 | 1,444 | 619 | 2,063 | |
| Tahoe | 10,955 | 4,695 | 15,650 | 9,772 | 4,188 | 13,960 | |
| TOTAL SIERRA | 24,928 | 10,683 | 35,611 | 16,118 | 6,907 | 23,025 |
The Sierra Nevada economy continues
to produce both goods and services to meet the needs of its own growing
population and to supply surrounding regions. The increasing importance
of economic sectors not based on resource extraction is evident in employment
figures reviewed here. In particular, tourism and recreation is the largest
single employment sector for the region as a whole. The resource extraction-based
activities of ranching, agriculture, and timber harvesting, while still
strong in some areas of the North and South Central Sierra Nevada, make
up a decreasing portion of total economic activity in the region.
4.3 Ecosystem Contribution to Regional
Economy
Aside from the substantial contribution
of ecosystem-related employment to the regional economy, the economic benefits
of ecosystems also include commodities (e.g., water timber and agriculture),
noncommodity uses (e.g., recreation and tourism) and environmental and
landscape amenities for residents and visitors. Sustaining the flow of
these benefits should help sustain the long-term vitality of local and
regional economies. This will require investments like forest restoration,
watershed protection and recreation management. The scale of these investments
is ultimately a societal choice, but should reflect to the extent possible
the scale of benefits society receives from the diversion or use of natural
resources for commodity and non-commodity purposes.
4.3.1 Commodity and Non-Commodity
Ecosystem Uses
This section summarizes the scale of
the economic benefits of ecosystems as estimated by resource economists
in previous assessments of the Sierra Nevada. These estimates focus on
net value of commodities and non-commodity uses. It is the net ecosystem
value which is most appropriate to consider relative to an investment in
the ecosystem like forest restoration. Commodity values derived from the
regionÕs ecosystems include: hydroelectric power, agricultural and
municipal water, forest products, agricultural products, and minerals.
Non-commodity use values include: commercial recreation, non-commercial
recreation, amenities, biodiversity and landscape preservation value.
The Sierra Nevada ecosystem contributes
an estimated $1.9 billion to the economy both inside and outside of the
region (Table 4-5). A large portion of this value is derived from the use
of water for agriculture and municipal purposes outside the region. Non-commercial
recreation in national forests, national parks, and state parks, is estimated
to account for 23 percent of this total, with most of this value in the
southern Sierra Nevada. Winter sports, followed by hunting and fishing
are the leading activities in non-commercial recreation.
Table 4-5: Estimated Annual
Ecosystem Use Values for the Sierra Nevada
|
COMMODITY USES |
TOTAL
Sierra ($1,000s) |
Percent of Total |
| Water: Agricultural/Municipala | 740,000 | 40% |
| Hydropowera | 167,647 | 9% |
| Timberb | 177,820 | 10% |
| Agriculturec | 8,218 | <1% |
| NON-COMMODITY USES | ||
| Commercial Recreationd | 225,000 | 12% |
| Non-Commercial Recreationd | 434,000 | 23% |
| Residential Amenitiese | 100,117 | 5% |
| TOTAL | $1,852,802 | 100% |
a See Stewart, 1996 for source and explanation of how estimated.
b California State Board of Equalization for harvest value, minus 34.4277 percent of harvest value as input costs (FRAP, 1998).
c Summary of County Agricultural CommissionersÕ Reports, 1994-95. Five percent of total values for field and seed crops, vegetables, fruit and nuts, nursery and apiary, livestock, livestock products, and poultry (FRAP, 1998).
dThis is the average of two wide ranging estimates of commercial and non-commercial recreation based on different assumptions about portion of USDA Forest Service budget allocated to recreation (Stewart, 1996 and FRAP, 1998). The higher of these estimates is based in part on Forest Service published market-clearing prices for recreational activities applied to state and national parks as well as national forests.
e Source for housing
and population data was California Department of Finance. Only counties
with both population growth and housing growth higher than the state average
were included in calculation of average housing rent (value) for each county
(FRAP, 1998). Includes ten percent of this value of housing assumed to
be associated with amenities that make people move to the Sierra Nevada.
Hydroelectric power and timber each
provide approximately ten percent of the total contribution from ecosystem
uses. However, unlike timber and other uses of water, hydroelectric power
is a consumptive use of resources only along the diverted portion of the
river where it is located. The most productive rivers in the Sierra Nevada
for hydroelectric power are the Feather and San Joaquin Rivers (Table 4-6).
The entire region produces over 24 billion kilowatt hours of electricity
worth over $450 million in the market place. The net ecosystem value of
this resource is over $167 million.
Residential amenities are the site-specific
attributes of a region which impact peoplesÕ well-being and contribute
to their decision to live there. They are estimated to have a net ecosystem
value of over $100 million in the Sierra Nevada, contributing about five
percent of the total contribution of ecosystem goods and services (Table
4-5).
Table 4-6: Annual Hydroelectric
Production and Value of Sierra Nevada River Basins
| Average Annual Output
(Million KWH) |
Market Valuea ($1,000s) | Ecosystem Valueb ($1,000) | ||
| North | Feather | 5,904 | 110,344 | 40,412 |
| Honey-Eagle Lakes, Truckee, Carson, Walker | 17 | 318 | 116 | |
| 5,921 | 110,662 | 40,528 | ||
| North Central | Yuba-Bear | 2,669 | 49,876 | 18,267 |
| American | 3,573 | 66,783 | 24,459 | |
| 6,242 | 116,659 | 42,725 | ||
| South Central | Mokelumne | 1,195 | 22,338 | 8,181 |
| Calaveras | 3 | 58 | 21 | |
| Stanislaus | 1,394 | 26,050 | 9,541 | |
| Tuolumne | 2,385 | 44,568 | 16,323 | |
| Merced | 342 | 6,388 | 2,340 | |
| 5,319 | 99,403 | 36,405 | ||
| South | San Joaquin | 4,158 | 77,704 | 28,458 |
| Kings | 1,487 | 27,794 | 10,179 | |
| Kaweah | 52 | 964 | 353 | |
| Tule | 44 | 813 | 298 | |
| Kern | 493 | 9,210 | 3,373 | |
| 6,233 | 116,485 | 42,661 | ||
| East | Mono, Crowley, Owens | 778 | 14,545 | 5,327 |
| 24,492 | $457,754 | $167,647 |
bEcosystem Value calculated by subtracting 0.5 cents/KWH from the price for operating costs, and assuming that 50% of remaining value pays for capital costs.
Sources: FRAP, 1998, based on Federal
Energy Regulatory Commission, and California Department of Water Resources
Bulletin 160-93.
4.3.2 Environmental and Landscape
Amenities
Environmental and landscape amenities
in the Sierra Nevada contribute values that flow to society at large, not
just to the residents of the region. Wild and scenic rivers, old growth
trees, and biodiversity are examples of environmental values which clearly
have value to all of society. Voter approval of environmental protection
legislation and bond issues for parks are a clear indication of societyÕs
willingness to pay for these ecosystem values. However, these values have
thus far eluded our ability to accurately quantify and express them in
monetary terms.
One consequence of this shortcoming
is that full cost accounting of forest management does not occur. For example,
the environmental externalities associated with industrial timber management
are costs that accrue to all who could potentially gain from the ecological
benefits of intact forests. Yet these costs are deferred and do not factor
into the accounting that serves as the basis for deciding if a timber harvest
is cost-effective. This problem is at the core of the debate over how to
finance the fuel reduction treatments needed in some Sierra Nevada forests.
The prevailing economic argument states that, because of the depressed
market for biomass, treatments which remove commercially valuable dead,
dying, and collateral green trees are the only ones that cover costs. However,
if the values of environmental and landscape amenities were quantifiable
and fungible, we would likely see a broader selection of cost-effective
treatment options available.
Quantifying the value of environmental
and landscape amenities is challenging, yet it alone can not resolve the
kind of dilemma just described. Once values are assigned to things like
intact ecosystems, a mechanism for exchanging these values must exist.
ÒCreatingÓ markets for such values has so far been the most
widely used approach. Some of these ideas are discussed further in Section
6.
Californians have led the nation in
efforts to balance protection of the natural environment with continued
use of the goods and services it produces. But in the Sierra Nevada, as
well as other forested regions of California and the United States, the
two economic values, the extractive and the environmental, continue to
stand in contrast to one another. And the real trade-offs inherent in extending
greater protection to the environment continue to be expressed in terms
of losses in jobs, productivity, and dollars.
This overview of the Sierra Nevada
economy has demonstrated the importance of environmental quality in the
economic conditions of the region. Whether or not a full accounting of
environmental and landscape amenities is ever achieved, we must recognize
that actions to protect the natural landscape are economic acts which have
clearly positive implications to be considered alongside of the negative
ones.
5.
THE ECONOMIC ENTERPRISE OF FOREST RESTORATION
The costs and benefits of forest restoration
derive from a wide variety of activities and effects which constitute a
unique form of economic enterprise. This section of the report examines
the economic enterprise of forest restoration through the activities of
restoration, the intended outcomes of those activities, and their associated
costs. It also describes the potential economic benefits of restoration
and presents a framework for understanding their employment-related impacts.
5.1 The Costs of Forest Restoration
Previous estimates of the cost of doing
restoration in the Sierra Nevada have focused on smaller subregions, or,
have been based on assumptions about how much restoration is needed without
specifying where it is needed. Most estimates do not isolate the costs
of forest restoration from the broader problem of watershed restoration.
As a result, there is neither a generally accepted estimate of the total
costs associated with restoring the regionÕs forests, nor, a statement
of the relative importance of restoration needs in the different subregions
of this diverse ecosystem. The spatial analysis conducted for this study
make both possible. While the final determination of the level of intervention
to undertake in a particular location will occur at the project level,
estimates with a basis in both place and forest condition, can be made
with the results of this analysis.
The costs of specific treatments will
vary from place to place and over time as well. However, using examples
of these costs from real projects throughout the state, a reasonable estimate
can be made of required outlays of capital for the initial phase of forest
restoration. The resulting cost estimates are examined independent of any
potential revenues the restoration activities may produce. These potential
revenues, which could off-set costs considerably in some cases, are discussed
in a following section of this report. Readers are invited to adjust these
estimates based on assumptions about cost of individual treatments, or
the total area needing treatment, that differ from those stated here.
5.1.1 Forest Restoration Activities
The fundamental challenge of forest
restoration is to bring about the recovery of structure, composition, and
function within a human disturbed forest ecosystem. Forest structure and
composition are a reflection of the functioning of many ecosystem processes,
including disturbance, plant succession, and the broad array of interactions
of other life forms with forest vegetation. Our ability to alter forest
structure and composition is most apparent in the practice of timber harvest,
but is also evident in the effects of human settlement in the forest ecosystem.
Where we have most profoundly altered the forestÕs structure and
compositionÑas we have where the largest, oldest trees were removed,
or where intense fire resulting from un-natural accumulations of fuel has
eliminated entire forest stands and rendered soils sterileÑthe challenge
of restoration is inter-generational.
The activities of forest restoration described here are those currently employed in forests around California and the West. They include:
1. Assessment of Need, Type and Strategic Location of Interventions
2. Interventions
3. Long-term Maintenance and Monitoring
4.
These activities focus less on direct
measures to reproduce past forest structure and composition, and more on
restoring ecosystem function. The theoretical reasons for this are that
the treatments will first cease the disturbance which interrupts the function
of the ecosystem, and if successfully restored, the function can begin
to produce the targeted structures and composition. The practical reason
for this is that outside of a very few exceptional circumstances, we simply
can not restore large vegetative structures and composition in the environment.
Forest restoration activities as we perform them today then are really
the initial steps in a long-term process which relies on natureÕs
own potency to bring about a desired end-state. Additional costs will accrue
as this process continues, making any estimate of cost both initial and
preliminary.
Restoring Fire to Sierra Nevada Forests
Restoring the natural disturbance function
of fire in Sierra Nevada forests will require a wide range of activities.
The choice of treatment will reflect the risks inherent in vegetation fires.
As the regionÕs population increases and wildlands become intermixes
of settlement and wildland, vegetation fires have a higher probability
of crossing into developed areas and inflicting damage on both ecological
and social systems. The most destructive and costly fires in recent history
have occurred when fire crossed over and burned into communities, overwhelming
the response capabilities of urban fire departments.
The emphasis in fire management in
California is greatest at the interface of communities and wildlands. In
these environments fire can cross readily between structural fuels and
vegetation fuels. The California Department of Forestry and Fire Protection
describes two types of interfaces, both of which are well represented in
the Sierra Nevada. The Classic Interface occurs where clusters of
buildings along a fringe of developed area are vulnerable to wildfire on
adjacent wildlands (housing densities range form 1 unit/5 acres to 1 unit/160
acres). The Mixed Interface occurs where rural homes are intermixed
among expanses of vegetation. The majority of the Sierra Nevada landscape
is in the mixed interface fire management environment (CDF, 1995). This
interface fuel environment actually occurs over a substantial portion of
the landscape and is found intermixed among fuel types composed
exclusively of wildland vegetation and those composed principally of synthetic
structural materials in more dense urban environments. The intermixed landscapes
retain significant wildland values, supporting many native or relatively
undisturbed plant communities, wildlife habitat, and productive, high quality
watersheds.
The use of prescribed fire in these environments will encounter enormous challenges. In wildlands, the risk of using prescribed fire will be too high in some places because of accumulated live and dead fuels. Aggressive efforts to grow extensive mature forest as quickly as possible has resulted in heavy and continuous fuels on some areas of the commercial timber base (Sapsis, Brandow, 1997). Where prescribed fire is an option, some of the problems associated with it include: fire escaping, air quality impacts, damage to historic structures, loss of threatened and endangered species habitat, and the visual effects of fire. Some of the potential advantages of prescribed fire include the following:
· reduce the probability of stand-replacing fires by introducing low intensity and low damage stand-maintenance fires
· prevent changes to species composition that occur when fire-resistant species are replaced by fire-intolerant species
· prevent less controllable and more costly fires
· reduce danger to firefighters
· reduce potential for higher particulate matter emissions as fuel loads and understory biomass decrease
· reduce
effects of wildfire suppression including use of motorized vehicles in
sensitive areas, use of fire retardant, and rehabilitation activities.
Where pre-treatments of fuels are required,
several mechanical treatment options exist. The costs of restoring the
natural disturbance function of fire in Sierra Nevada forests will be higher
in intermix areas, therefore we have separated the costs into two categories,
one for wildlands and one for intermix/urbanized areas (Table 5-1).
Restoration in Areas Affected by Canopy Loss from Residential Development
Perhaps the greatest challenge in forest
restoration in the Sierra Nevada is in the urban/intermix. Canopy loss
associated with residential densities of 1 dwelling unit/32 acres and greater
are described in this study to approximate the extent to which the structure,
composition and functioning of forest ecosystems has been altered. Addressing
these impacts is challenging because only slight alterations in the use
of residential areas is feasible. The uses of a residential parcel, including
buildings, roads and driveways, yards, and storage lots, represent costly
improvements that residents are not inclined to remove. The measures to
make properties Òfire safeÓ effectively extend the reach
of the used portion of the site by removing trees, plants and forest ground
fuels. It is in this second area of protecting property from loss to fire
that there is an opportunity for restoration. The opportunity lies in designing
and implementing more biodiversity sensitive fuel management strategies.
However, current direction to landowners from state and local fire officials
is very clear about the required actions for maintaining fire safety. Additionally,
the insurance industry is developing approaches which reward aggressive
fuels management in fire prone areas, further reinforcing the negative
effects on biodiversity that residential development has on Sierra Nevada
forests.
Fire safe strategies typically require
that a defensible space be established around protected structures. These
spaces can be as great as 200 feet on sloped areas. Within the defensible
space, both live and dead fuels are removed either partially or entirely.
Fire management organizations recommend breaking up the horizontal continuity
of vegetation by removing plants to form islands of plant materials (Smith
and Adams, 1991). Additionally, standing dead trees, down dead trees, and
dead shrubs, are to be removed from within the defensible space, with the
exception of one or two snags for wildlife limbed to a height of 15 feet.
Many residents who have settled in the region to be closer to the natural
environment find it difficult to implement these measures in their immediate
surroundings. However, alternative approaches which balance fire protection
with greater protection of forest biodiversity are not widely available.
Such alternatives are needed for the region and probably represent the
greatest potential for achieving some restoration of functioning forest
ecosystems.
Estimating the need and cost of restoration
in these areas is complicated by conflicting goals. On one hand these environments
need fire restored to them to maintain fuels at natural levels, and since
prescribed fire can not be used on a wide scale, mechanical treatments
are needed to prevent costly fires. On the other hand, mechanical treatments
have lead to reduced canopy and related loss of biodiversity which also
needs to be restored. We have made cost estimates based on the first goal,
since mechanical treatments costs are known (Table 5-1). This also avoids
the problem of double counting that would occur if costs were summed both
for interventions in the 1-250-Year FRI and interventions where canopy
loss has resulted from residential development. It is assumed however,
that adapting these interventions to optimize biodiversity would increase
the overall costs of restoration in the intermix areas.
Table 5-1: Annualized Costs
of Fuel Treatments
| Wildlands
(Cost/Acre Basis) $ |
Intermix/Urbanized
Forests
(Cost/Acre Basis) $ |
Wildlands ($/Acre) | Intermix/Urbanized
Forests
($/Acre) |
|
| A. Assess for Need, Type, and Strategic Location of Treatments | - | - | - | |
| B. Interventions | ||||
| Burning | - | - | 240 | |
| Management-Ignited Prescribed Burn | 45 | |||
| Prescribed Natural Fire | 50 | |||
| Under Burning | 120 | |||
| Mechanical Treatments | 6,000 | 500 | 2,000 | |
| Pile and Burn (understory fuels treated; surface woody and duff fuel not treated) | 650 | |||
| Cut and Scatter (increases the surface fuel load and depth) | 100 | |||
| Feller Buncher | 380 | |||
| Mastication | 280 | |||
| Thinning for woodchip biomass (fell, buck, limb, skid, chip, overhead, and stumpage) | 590 | 724 | ||
| Manual Thinning | 970 | |||
| C. Long-Term Maint. & Monit. of Reduced Fuel Loads | - | 25 | 75 | |
Cousar, et al, 1996
Elliott-Fisk, et al, 1996
For the Sake of the Salmon, 1995
Klamath Forest Alliance, 1998
NEOS Corporation, 1997
Dennis, 1997.
Pacific Rivers Council, 1995
Spreiter, Terry A. 1990
USDA, Forest Service, 1996.
USDA, Forest Service, 1997a
Watershed Management Council, 1997
Road Restoration in Sierra Nevada Forests
The effects of a road on a stream can
extend a considerable distance downstream from the road. The treatments
presented here focus on the source of the problemÑthe roadÑand
do not address the full extent of riparian impacts of roads. Restoration
efforts that eliminate the source of the problem are the essential first
step in restoring the area impacted. Additionally, many roads in riparian
zones have not resulted in significant impact yet have the potential to
do so in the future. The assessment phase of road restoration work is important
in identifying these possible future problem areas and prescribing preventative
measures.
Closure and removal decisions requires
consideration of how the road is currently used and what potential future
uses there may be for the road. Roads serving recreational access, forest
management, and fire management needs are unlikely to be eliminated even
if they are in riparian areas. The level of roading can determine the options
for fire management, since prescribed burning is easier to control where
roads occur. The two principal activities of forest restorationÑfuels
management and road treatmentsÑmust be examined together to balance
the impact of roads against the benefits of prescribed burns. The road
density in most non-wilderness wildlands is such that any proposed construction
of new roads for the purported purpose of facilitating fuel and fire management
would need to be seriously scrutinized.
The most expensive treatment for a road is decommissioning. A typical decommissioning treatment involves removing culverts, ripping the road surface, removal of unstable fills, and configuration for long-term drainage, which includes measures such as outsloping or recontouring of road sections. Experience in Redwood National Park indicates that the cost of obliteration is approximately the same as that required to upgrade roads to a standard at which they can be safely maintained (Furniss, 1995). Many less expensive treatments are available which address the majority of road problems (Table 5-2). Where roads travel along streams for a great distance and encourage intensive use of sensitive riparian environments, the option to eliminate the disturbance may exist. In some cases the fencing of riparian areas offers adequate protection, eliminating the need for more expensive road treatments.
Table 5-2: Annualized Costs
of Road Treatments
| Wildlands
(Cost Basis in $/mile or noted) |
Wildlands
($/mile or noted) |
| A. Assess for Need, Type, and Strategic Location of Treatments | |||
| Road Assessment | 360 | 360 | |
| Riparian Reforestation Assessment | 10 | ac | 10/ac |
| B. Interventions | |||
| Road decommissioning/erosion control (culvert, fill removal, decompaction (ripping), recontour to original slope) | 11,218
53,493 67,142 155,344 |
60,439 | |
| 15,000 | |||
| Blading, shaping, outsloping, improving drainage | 17,276
6,000 |
25,858 | |
| 54,297 | |||
| Road sediment reduction (excavate crossings, log string bridges, remove road bench where failing, replace culvert, install ditch-relief culverts, reconstruct headwall, remove road bench where failing). | 55,446
60,377 8,892 |
41,572 | |
| Riparian Restoration/Revegetation | 1,425/ac | ||
| Site Prep | 7,399 | mi | |
| 2,037 | ac | ||
| Planting | 2,175 | ac | |
| 630 | ac | ||
| Fencing | 4,856 | mi | |
| Riparian Reforestation | 180 | ac | |
| C. Eliminate Disturbance | |||
| Fencing | 4,856 | mi | 4,856 |
| D. Long-Term Monitoring and Maintenance of Restored Areas | 1,032 | ac | 1,032 |
5.1.2 Aggregate Forest Restoration
Costs
A total cost of $374,955,896 is estimated
for conducting fuel management and road restoration in the Sierra Nevada
(Tables 5-3 and 5-4). This cost estimate is based on area totals derived
from the spatial analysis conducted for this study. Several assumptions
about the types of activities which would be required were made. Changing
these assumptions would obviously change the cost, therefore this estimate
represents a single scenario for addressing forest restoration needs in
the Sierra Nevada. No assumptions were made as to the time period over
which this work would be completed. However it is assumed that these are
to some extent recurring costs. It is highly speculative to attempt to
estimate the on-going maintenance costs for Sierran forests, before the
actual costs of treating current restoration needs have been calculated.
We have included however, long-term maintenance cost estimates for the
areas treated in this initial phase of work.
Perhaps the greatest uncertainty in
making estimates of fuel management costs is in the degree to which fire
will actually be used in the Sierra Nevada. Air quality regulations and
the presence of human settlements in the forest will constrain the use
of fire, but it is impossible to predict how at this time. When mechanical
treatments are as much as ten times the cost of burning, the sensitivity
of cost estimates to how much of each intervention is used, is very high.
We assumed that fire would be the intervention of choice on 40 percent
of wildland areas in the 1-250 year fire return interval. Ten percent would
have management-ignited prescribed burns, 20 percent would have prescribed
natural fire, and 10 percent would receive underburning. The resulting
costs would be over $80 million for burning alone (Table 5-3). This estimate
assumes no burning in urban intermix areas. We assumed that ten percent
of the acres with 1-250 year FRIs would require mechanical treatments,
and made no assumption as to the type of treatment. We broke out the costs
of mechanical treatments in intermix urban areas from wildlands, since
interventions in urban intermix areas cost approximately four times those
in wildlands. Estimated costs of long-term monitoring and maintenance also
recognize the higher cost of working in urban intermix areas.
In calculating road restoration costs
we assumed that the entire 2,065 miles of roads in riparian areas would
need to be assessed for the need, type, and strategic location of treatments.
These assessments would also reveal the extent of roads and road impacts
that are not ÒseenÓ by the digital, 1:100,000 scale maps
used in the spatial analysis. We based the costs of interventions on these
assumptions: 25 percent of the road miles would require decommissioning;
25 percent would require blading, shaping and otherwise improving drainage;
and 50 percent would require sediment reduction work (Table 5-4). Riparian
restoration would be needed on an estimated 20 percent of the road impacted
areas, at an assumed ratio of five acres per mile of road repaired or decommissioned.
We assumed five percent of road miles would need to be fenced to eliminate
disturbance, and that long-term monitoring and maintenance would be required
on just over a thousand acres of riparian areas where road work is needed.
Restoration is both planned and actively
taking place in many parts of the Sierra Nevada and the costs identified
here should not be viewed entirely as an augmentation to current or future
expenditures. The static nature of this analysis inherently constrains
our ability to quantify the degree to which funds already allocated for
restoration work would off-set the costs estimated above.
Table 5-3 Fuel Mgmt costs
Table 5-4 Road costs
5.2 Accumulating the Benefits of
Restoration
The estimated $375 million investment
required to address the major restoration needs of Sierra Nevada forests
has the potential to produce a broad array of benefits. Because this investment
could enhance all forms of capitalÑincluding natural, social, and
financial capitalÑthe benefits are potentially greater than those
yielded by other investments, like recreational development or timber production.
It is difficult to accurately quantify
the enhancements in social capital that we expect would result from investments
in forest restoration. Similarly, enhancement of the natural capital of
the region through forest restoration is difficult to directly quantify.
But, as discussed earlier, the flow of goods and services from forest ecosystems
is substantial, generating both financial capital and intangible values
such as landscape and environmental amenities (See Section 4.3). This section
of the report examines the primary benefits of restoration in the Sierra
Nevada.
5.2.1 Understanding the Effects
of Forest Restoration-Related Employment
Although labor input costs are built in to the costs estimated above, this study makes no attempt to quantify the number of jobs that could potentially result from a major forest restoration initiative in the region. Such an attempt would necessitate far too many assumptions about labor dynamics and the actual restoration activities that would occur. We believe that assumptions of this nature would result in estimates of employment that lack any useful value. Assumptions would be required for several factors, including:
· the duration and seasonality of employment opportunities
· the occupational requirements and skill level of potential workers
· labor supply
· labor efficiency
· the proportion of additional jobs created, relative to jobs filled by workers shifting from one activity to another (e.g. from commercial logging to thinning for fuel management)
· the
commodity stream and the proportion of value added manufacturing jobs
Additional factors which would be useful
to understanding the employment impacts of restoration, include the level
of compensation for workers, gender participation, and specifically what
populations or communities are likely to be affected. Compensation for
the kinds of occupations likely to be demanded by restoration work range
so broadly (e.g. from under $10/hour to over $25/hour) (Table 5-5). Accurate
estimates would require specific knowledge of the occupations that is not
available. The pattern of gender participation in resource management-related
occupations (Table 4-7) is overwhelmingly skewed toward males. In the absence
of evidence that restoration jobs provide more opportunity to women than
conventional resource management occupations, it is difficult to imagine
how new jobs in the field of forest restoration would measurably off-set
this pattern.
Table 5-5 : Wages for Select
Occupations Related to Natural Resource Management, 1996
| HOURLY
WAGE
(dollars) |
||
| Median | Mean | |
| Surveyors and Mapping Scientists | 23.71 | 25.08 |
| Foresters and Conservation Scientists | 21.31 | 22.16 |
| Log-Handling Equipment Operators | 15.20 | 14.64 |
| Logging Tractor Operators | 15.02 | 14.47 |
| Choke Setters | 12.11 | 12.73 |
| Forest and Conservation Workers | 9.35 | 9.41 |
| Forestry, Fishing, and Related Workers | 8.68 | 9.82 |
The populations or communities likely
to be affected by the economic stimulus of a restoration project could
be identified with relative precision if the project itself were clearly
defined. Where such projects are proposed for public lands, a participatory
process required under federal law almost guarantees that affected parties
are identified. However, the affects themselves could be much harder to
predict. In particular, it is difficult to anticipate the degree to which
the well-being of certain communities could be enhanced by an infusion
of new jobs in the field of forest restoration. This quite simply is because
well-being, while clearly influenced by employment, is a reflection of
many other factors including, aesthetic, symbolic and non-commodified values
of life in rural environments. Knowledge of the conditions and opportunities
which determine community well-being is at best rudimentary when we examine
the issue at a scale larger than the individual community. However, some
insights into the effects of resource-related employment on povertyÑcentral
to anyoneÕs notion of well-beingÑcan be gleaned from county-level
data analyzed for the Sierra Nevada Ecosystem Project. The SNEP study is
useful to consider in trying to understand the effect of forest restoration
related employment, since it focused on closely related lumber and wood
products employment.
The results of the SNEP analysis suggest a negligible effect of employment in lumber and wood products on poverty levels in Sierra Nevada timber counties when measured by demand for the poverty assistance program, Aid to Families with Dependent Children (AFDC). Indeed, one possible explanation for the findings on AFDC and employment offered by the authors was that the findings may Òreflect poverty that persists for structural reasons, such as age distribution of the population or the wage structure of particular industries, that would not necessarily be affected by variations in employmentÓ (Hoffmann and Fortmann, 1996). Specific findings of the SNEP analysis, include:
· employment variation in the lumber and wood-products industry over time does not Òcause(1)Ó variation in other employment in the long term (defined as 18 months)
· employment variation in the lumber and wood products industry over time does not ÒcauseÓ variation in AFDC caseload except in El Dorado and Plumas Counties
· annual
growth in lumber and wood products employment ÒcausesÓ annual
growth in other employment only in Tulare County, where there is less than
two percent of total employment in lumber and wood products
While emphasizing that their findings
evinced regional trends, and that individual experiences in local communities
may be different, the SNEP authors concluded that Òincreasing lumber
and wood-products employment is not likely to have significant long-run
impact on either other employment or on AFDC caseloads in the Sierra Nevada.Ó
And that Òpolicies which might increase lumber and wood-products
employment in general and timber harvesting in particular would provide
a crude and probably ineffective lever for addressing these issues (AFDC
dependency and employment).Ó (Hoffmann and Fortmann, 1996).
The experience of local communities
will certainly vary from this county-level characterization. Another assessment
from SNEP which looked beyond the issue of poverty at a broader array of
indicators of community well-being, rejected county-level data in favor
of a more socially relevant unit, the census block aggregation (Kusel,
1996). This study made considerable effort to make the aggregations closely
representative of locally defined communities. Evaluating 180 census block
aggregations throughout the region using new metrics of social and economic
well-being, the SNEP authors found considerable variability in both socioeconomic
status and community capacity (Doak and Kusel, 1996).
Socioeconomic status was based on five
factors derived from 1990 Census data, including housing tenure, poverty,
education, employment, and children in homes with public assistance income.
It was scored on a scale of 1 to 7. Community capacity, described as the
collective ability of community members to respond to stress, to create
and exploit opportunities, and to meet their needs, was assessed through
local expert knowledge and given a score on a scale of 1 to 5. Community
capacity is described as consisting of three forms of capital: physical
capital, which includes financial capital and other physical elements
and resources in a community (e.g., sewer systems, open space, business
parks, housing stock, schools); human capital, which includes the
skills, education, experiences and general abilities of residents; and
social capital, which includes the ability and willingness of residents
to work together for community goals (Doak and Kusel, 1996).
Lower socioeconomic scores were found
in areas where higher percentages of individuals and families lack sufficient
socioeconomic resources to maintain a reasonable standard of living. Low
capacity scores indicate areas that have a reduced ability to effectively
address the needs of local residents and take advantage of local development
opportunities to improve local well-being, including socioeconomic status.
Table 5-6 presents average scores for these metrics of community well-being
in six regions of the Sierra Nevada (See SNEP, 1996 for scores for all
180 aggregations).
Table 5-6: Average Socioeconomic and Community Capacity Scores for
Sierra Nevada Regions (Doak
and Kusel, 1996)
| REGION | Average Socioeconomic Score (1-7) | Average Capacity Score (1-5) | Population |
| Northern | 2.5 | 2.5 | 128,984 |
| West-Central North | 4.8 | 3.4 | 221,258 |
| West-Central South | 3.7 | 3.1 | 144,341 |
| Southwest | 3.8 | 2.8 | 60,528 |
| Greater Lake Tahoe | 3.5 | 3.9 | 64,218 |
| Southeast | 3.8 | 3.1 | 27,440 |
Northern: southern half of Lassen, all of Plumas and Sierra and foothill areas of Yuba and Butte Counties.
West-Central North: western portions of Nevada and El Dorado and the central portion of Placer Counties.
West-Central South: Amador, Calaveras, Tuolumne, Mariposa and eastern portion of Madera County.
Southwest: eastern portion of Fresno and Tulare Counties and north-central portion of Kern County.
Southeast: Mono and Inyo Counties, southeastern portion of Tulare County.
Greater Lake Tahoe: easternmost
portions of Nevada, Placer, and El Dorado Counties; all of Alpine County;
southwestern portion of Washoe County and northwestern portion of Douglas
County in Nevada.
The individual communities within each
region are the relevant unit of analysis when attempting to understand
the actual effects of new jobs in restoration on community well-being.
Nevertheless, on the regional level, an unavoidable implication of these
findings is that in the region where the need for economic stimulus from
something like new restoration jobs appears greatest, the North region,
the community capacity there may be insufficient to realize its benefits.
These subregional findings seem to
parallel the conclusion drawn above about AFDC dependency and employment,
that policies which would increase lumber and wood-products employment
would provide a crude and probably ineffective lever for addressing those
issues. As described earlier, another feature of employment in forest work
of all kinds is its seasonality. This feature is critical to recognize
when looking to alleviate unemployment, poverty, and low levels of community
well-being. Where winter unemployment rates are highest, additional jobs
in restoration would probably do little to offset those rates, since the
bulk of this work is not done in winter months.
Absent specific information about employment
dynamics in forest restoration occupations, and accurate assessments of
community capacity and socioeconomic status, estimates of the number and
effect of new jobs in forest restoration are likely to be spurious. Estimates
of indirect effects, such as job gains in tourism and recreation that theoretically
result from improvements in the forest environment, would inherit the same
assumptions used in making estimates of direct effects and would be equally
unreliable.
Two things should be apparent from
the above discussion however. The first is that an increasingly diverse
economy in the Sierra Nevada will greatly attenuate the effects of employment
gains in any one resource-related sector. The second is that the effects
of gains in timber employment, or in forest restoration employment, while
potentially significant at the community level, are extremely case-specific
and no overall conclusion can be drawn that gains in this sector will result
in increased community well-being.
The SNEP report laid important groundwork
in designing methods of socioeconomic assessment that could be useful in
evaluating the effects of specific restoration projects. Such projects
would benefit from this kind of assessment, particularly in the area of
predicting a projectÕs effects on employment and community well-being.
5.2.2 Goods and Services
Forest restoration has the potential to help sustain the flow of ecosystem goods and services that are the backbone of the Sierra Nevada economy. The following is a cursory review of the primary sources of ecosystem goods and services with examples of direct benefits that could result from forest restoration. As described above, the beneficiaries include all consumers of these goods and services.
· Agricultural and municipal water (annual use value, $740 million): water sources are best protected by intact forested watersheds; reservoir life-span could potentially be extended by minimizing siltation.
· Hydropower (annual use value, $168 million): reservoir life-span could potentially be extended by minimizing siltation.
· Timber (annual use value, $177 million): fuel reduction protects investments in timber management that are at risk to stand-terminating fires.
· Commercial and non-commercial recreation (combined annual use value, $659 million): riparian restoration could enhance recreational fishing; improved forest health could sustain the high level of interest in forest-based recreation.
· Residential
amenities (annual use value, $100 million): maintain the quality of life
in residential developments by slowing or reversing the loss of forest
cover and composition. The avoided costs of catastrophic fires in settled
areas is a financial gain for residents and taxpayers.
The most tangible products of forest
ecosystems are trees and biomass. Forest restoration is intended to restore
the structure, composition and function of a forest ecosystem and by definition
precludes the harvesting of green lumber where it conflicts with that intent.
However, growing demand for wood products is a cause of forest degradation
throughout the world and timber production will continue contributing to
the Sierra Nevada economy by supplying that demand. The Natural Resources
Defense Council has estimated that each U.S. citizen consumes on average
approximately 75 cubic meters of solid wood every yearÑabout one
ancient tree (NRDC, 1998). Biomass is often viewed as a byproduct of restoration.
In fact it is conventionally viewed as a disposal problem in the Sierra
Nevada where its presence seriously limits the possibility of reintroducing
fire. Both timber and biomass markets as they relate to forest restoration
are considered below.
Timber Certification
Certification of wood products is designed
to address both production and consumption of forest products, thereby
approaching the problem of forest degradation at both of its sources. These
words from the Institute for Sustainable ForestryÕs landowner and
forester handbook for Pacific Certified Ecological Forest Products (PCEFP)
describes the way this works.
Our stamp on a piece of lumber identifies wood harvested with care from a forest managed for wood, wildlife, and community. We track the wood from forest to consumer, and guarantee the buyer that his or her purchase is from a sustainable forest. We only certify wood from California landowners. We know that people are ready to pay a little more for good wood, and that PCEFP landowners should receive a little more for their extra care and stewardship.
ÑInstitute for Sustainable Forestry, 1994.
While still not widely known and accepted,
the concept of wood product certification is being promoted by an increasingly
wide array of organizations and industry groups. Collins Pine Company,
an industrial timber products company with large holdings in the Feather
River Basin, is a producer of certified lumber that supplies consumers
throughout the United States. And recently, NRDC launched a major forest
initiative whose aim is to make certification as widely known and accepted,
in ten years, as recycling and organic produce are today.
By emphasizing the long-term sustainablity
of timber production, certification promotes many of the goals of restoration
that have been absent form industrial scale timber management. Its potential
to improve forest management in areas that are part of the commercial timber
base is not possible to predict at this time. Nevertheless, it represents
one of many approaches that will need to be more closely examined to achieve
improvements in private and public timber management.
Market Opportunities for Biomass
There are presently no viable market
outlets for the large quantities of biomass that would be produced by fuel
management activities envisioned as part of forest restoration in the Sierra
Nevada. The range of biomass products, includes; liquid fuels, electricity
production and cogeneration, industrial and commercial boilers for process
heat and/or steam, and residential thermal energy for heating. Other potential
wood-based products include: posts and poles, crafts, pulp, oriented strand
board, waferboard, medium density fiberboard, composite wood products,
charcoal, and compost (NEOS Corporation, 1997). Transportation and processing
costs combined with the low costs of coal and natural gas, are the key
reasons why these products can not be brought to market.
The technologies for manufacturing
liquid fuels, including ethanol, methanol, and biocrude (oil derivatives
of wood, wood waste or other low value biomass residues) are currently
in the precommercial phase. Methanol and biocrude both appear unlikely
to play a role in the use of biomass, since the economies of scale of natural
gas-based processes make that approach more cost-effective. The feasibility
of ethanol production from wood is being examined by the Quincy Library
Group. However future trends in ethanol consumption are difficult to predict,
creating uncertainty in the face of potentially large capitalization costs.
Electricity production and cogeneration
offer some potential for biomass utilization; the most promising being
Ògreen powerÓ programs. This option is now feasible because
of green pricing programs resulting from the deregulation of the California
electric utility industry. It is based on the concept that biomass-burning
cogeneration facilities produce electricity from renewable energy, and
consumers will pay more, effectively subsidizing the use of biomass. Another
option is in-woods integrated energy production and value-added product
creation. This involves converting biomass to electricity in the forest
with small turbines, thus minimizing processing and transportation costs.
Value added products (like pallets) could then be produced in Òmini-millsÓ
on-site, and excess electricity could be sold to a local utility (possibly
as green power).
The accumulated benefits of restoration
will include higher value timber products and certain biomass products,
as well as an array of social benefits like amenities, water for cities
and crops, hydroelectricity, and recreation. Central to the question of
who should bear the burden of funding restoration is the need to fairly
characterize this stream of benefits derived from ecosystem use. Beneficiaries
exist all along this stream, receiving varying amounts of value from the
resource. The difficulty in fairly characterizing widely dispersed benefit
streams occurs since benefits are usually exploited (and valued) to varying
degrees by different users, and are often taken for granted by beneficiaries.
However, the more widely dispersed the benefits of a particular ecosystem
use, the greater the number of potential contributors to investments in
preserving the flow of benefits.
A greater understanding of how benefits
are dispersed to the population is key among the factors which will contribute
to emerging strategies for funding ecosystem management. In particular,
beneficiaries must be identified and then made aware of how they benefit;
the justification for spending restoration dollars must be made clear;
and finally, mechanisms for collecting investment resources from only the
beneficiaries must be developed.
6.
FINANCING FOREST RESTORATION
Both existing and new sources of funding
for restoration are examined below. Existing sources include state and
federal government spending and new sources include some market-based strategies
described by others. Because of the diversity of ownerships, management
objectives, vegetation types, financing Sierra Nevada forest restoration
will require several strategies that fit many local situations.
Decisions about funding forest restoration will be improved if they follow some basic principles. Proposed projects could be evaluated according to such guidelines and greater integration and efficiency would likely result. The following general principles for forested watershed restoration investments, prepared by Robert Hrubes, are a good example of this (PCL Foundation, 1997a):
· Restoration efforts need to be goal-driven and must emerge from and be guided by watershed-level analysis and planning that generates definable targets or desired future conditions.
· Investments must first be made in developing and expanding community capacity for restoration to be effective in the long term.
· Project-level investments should be locally driven watershed-level decisions made by multi-stakeholder decision-making bodies possess local knowledge of the resource base.
· Highest priority should be on securing protection of least-damaged ecosystems and watersheds before efforts are expanded into areas already impacted.
· Restoration projects should be recognized as having bio-physical, political, and economic dimensions
· The most effective efforts are those that address the root causes rather than the symptoms of ecological degradation.
· New investments should seek to leverage other sources of funding and should result in a net increase in total restoration funding, rather than merely substituting for other sources of funding.
· Effective long-term restoration efforts must manifest cooperation and collaboration amongst all stakeholders, including land owners, regulators, non-government organizations, residents, and consumers of forest ecosystem goods and services.
· Prevention
is almost always more cost effective than restoration.
6.1 Existing Sources of Restoration
Funding
6.1.2 Government Appropriations
for Ecosystem Management
Appropriations of federal and state
funds to purchase lands for parks, restore rivers, protect and enhance
wildlife habitat, and assist landowners in conservation and stewardship,
is the principal source of existing funding for forest restoration. Investments
derived from federal and state treasuries are not tied to the productivity,
or the value, of the ecosystem where they are made. Examples of the disconnection
between ecosystem values that flow out of a bioregion, and investments
flowing in, are numerous. Two examples in the federal domain, include the
receipts from timber harvests on National Forests and those from National
Park visitor fees which get deposited directly into the U.S. Treasury;
National Forest and Park budgets generally do not account for these receipts.
The temporary changes in the National Park fee structure, which have now
been extended to December 1999, would allow parks to keep 80 percent of
any additional fees they charge for projects in the park of origin.
Despite the absence of a systematic approach to conducting ecosystem protection activities, public investment results in restoration work:
1. Restoration and enhancement of biodiversity and commodity values is the most common activity undertaken. Examples occur on public and private land and take the form of: direct interventions; stewardship (improving regular management activities as part of commodity production). Actual projects include: river and riparian restoration, reforestation, habitat improvement, sediment and erosion control, Habitat Conservation Plans, eradication of exotic species, species protection/re-introduction, wildlife management (hunting, predation control, release, relocation), and fisheries maintenance (fish screens, hatcheries, flow management).
2. Reserve management (national parks and monuments and wilderness protection) is a major expense for both the federal and state governments.
3. Research and assessment activities are not as broadly performed as restoration and enhancement. Some examples include SNEP, USDA Forest Service California Spotted Owl NEPA process, determining in-stream flow requirements, Timber Harvest Plan monitoring by CDF.
4. The activities
of landowners who perform fire pre-suppression work remain poorly compensate
as the state works to evaluate the outcome of up-front investments in planning
and pre-fire management, versus the deferred costs of suppression, disaster
relief, and rehabilitation.
The federal and state share of ecosystem investments in the region were calculated for an analysis conducted for the California Department of Forestry and Fire Protection (FRAP, 1998). That study reported that 61 percent of federal expenditures on the Sierra Nevada environment go toward reserve management (National Parks and Monuments). The State portion is distributed over a broader variety of programs (Table 6-1).
Table 6-1: Federal and State
Ecosystem Investments in Sierra Nevada from a Partial Inventory of Government
Programs (Average Annual Expenditures, 1990s)
| $1,000s | |
| FEDERAL | |
| USEPA | 127 |
| NPS | 5,865 |
| BIA | 1 |
| USFWS | 1,127 |
| USDAFS (FIP) | 43 |
| USDAFSA | 2,402 |
| USDAFS (K-V/TSI)a | 2,000 |
| 9,565 | |
| STATE | |
| CDF CFIP/VMP | 740 |
| CDF&G | 32 |
| Coastal Conservancy | 0 |
| USDANR | 4,724 |
| CalTrans | 778 |
| 6,275 |
a USDA Forest Service, Timber Sale Program Annual TSPIRS Report: PSW, Fiscal Year 1994, includes Lassen and Modoc with among all other National Forests in the Sierra Nevada; all other data from FRAP, 1998.
Most ecosystem and resource management
paid for by the State of California is conducted by various departments
of the Resources Agency. The principal source of the Resources Agency's
budget is the State General Fund and Special Funds. General Obligation
Bond Funds and federal funds together contribute 14 percent of the agencyÕs
budget statewide (Table 6-2). The Governor's FY 1996-97 Budget for the
Resources Agency is $1.9 billion. An analysis of State environmental spending
by the Planning and Conservation League Foundation (1997b) estimates that
state-wide only 0.53 percent of General Fund revenue is allocated to actual
protection, enhancement or promotion of the environment. Fire suppression
costs of over $260 million were not included in this estimate.
Special Funds
Special Funds account for revenues from taxes, licenses and fees and their use is restricted to particular government functions and activities. Actual statewide expenditures of Special Funds amounted to $12.5 Billion in FY 1995-96 (Governor's Budget Summary, 1997-98). The various departments within the Resources Agency receive between two percent and ninety-six percent of their total funding from Special Funds (FRAP, 1998). Overall, 44 percent of the Resources Agency FY 1996-97 budget comes from Special Funds (Table 6-2). By contrast, a larger portion (68 percent) of the CalEPA budget is derived from Special Funds. CalEPA is less reliant on the State General Fund for funding (13 percent), relative to the Resources Agency (42 percent). These differences in agency financing reflect the different missions of the two agencies; a greater portion of funding for the regulatory CalEPA is derived from the permit fees, licenses, and taxes on the businesses and individuals it regulates.
Table 6-2: Estimated FY 1996-97
Resources Agency and CalEPA Expenditures ($1,000s)
| General Fund | Special Funds | Selected Bond Funds | Federal Funds | Total Expenditures | |||||
| Resources Agency | 809,543 | 42% | 842,692 | 44% | 179,480 | 9% | 93,262 | 5% | $1,924,977 |
| CalEPA | 90,188 | 13% | 478,587 | 68% | 59,118 | 8% | 79,811 | 11% | $707,704 |
| State-Wide | $48,443,087 | $13,592,694 | |||||||
Special Funds have several important
features that make them appropriate for funding ecosystem management. Many
of them have fund matching requirements, enabling the State to leverage
money from both federal and private sources. Additionally, many funds are
administered under the advice of parties knowledgeable of the resources
affected by fund spending. For example, the Salmon Trollers Advisory Committee
reviews candidate restoration projects seeking funding from the Commercial
Salmon Stamp Fund. Special Funds are impermanent however, offering no lasting
arrangement by which to fund ecosystem work. Special Funds can also be
redirected to cover statewide budget shortfalls like the one California
experienced in the early 1990s (FRAP, 1998).
The California Environmental License Plate Fund
The California Environmental License
Plate Fund (ELPF) has a projected expenditure of $23 million in 1996-97.
A closer look at this Special Fund reveals the manner in which such funds
target specific objectives. It also demonstrates how this program has created
an opportunity for exchange where one did not exist before, by allowing
individuals to purchase license plates to support specific environmental
goals.
The ELPF is financed from the sale
of personalized license plates by the Department of Motor Vehicles. While
the majority of such license plates are not "cause-related", many are purchased
to support environmental goals, like the protection of Yosemite National
Park, Lake Tahoe, the California Coast, or, social programs for children
and veterans. For example, when a Yosemite Plate is sold, administrative
fees are deducted by the Department of Motor Vehicles, then revenues are
split evenly between a special account for Yosemite National Park, and
the ELPF. Thus, while the $23 million from the ELPF will be spent to fund
state-wide environmental programs, an additional fraction of revenues from
the sale of license plates will go toward specific projects at Yosemite
National Park. In 1995, the private, non-profit Yosemite Foundation received
$635,400 (almost 25% of its annual revenues) from the sale of license platesÑa
significant contribution to the one million dollars spent that year on
over 30 separate projects in the Park (The Yosemite Fund, 1995).
The California Environmental Protection Program, which receives the bulk of revenues from the sale of personalized license plates, allocates funds to various divisions of state government for the following purposes:
· the control and abatement of air pollution
· the acquisition, preservation, restoration, of natural areas or ecological reserves
· environmental education
· protection of non-game species and threatened and endangered plants and animals
· protection, enhancement, and restoration of fish and wildlife habitat and related water quality
· the purchase of sensitive natural areas for the state park system and for local and regional parks
· reduction of the effects of soil erosion and the discharge of sediment into the waters of Lake Tahoe region
The following divisions of state government
receive ELPF funds to implement the Program (dollar amounts indicated only
for programs where FY 1996-97 allocation is greater than $500,000):
Secretary for Resources
Special Resource Programs
California Envir. Resources Eval. System (CERES) $804,000
California Conservation Corps
Colorado River Board
Department of Conservation
Department of Forestry and Fire Protection
Vegetation Management $3,227,000
Department of Fish and Game
Non-game Fish and Wildlife Activities $4,397,000
Departmental Administration $1,841,000
Wildlife Conservation Board
Transfer to the Habitat Conservation Fund $7,578,000
California Coastal Commission
Coastal Management Program $830,000
State Coastal Conservancy
Department of Parks and Recreation
Santa Monica Mountains
San Joaquin River
Delta Protection Commission
Coachella Valley Mountains
Department of Water Resources
Department of Pesticide Regulation
State Water Resources Control Board
Timber Harvest Plan Reviews $736,000
Office of Environmental Health Hazard Assessment
Source: Governor's Budget, 1997-98, Section 3210.
General Obligation Bond Funds
The State will drew approximately one
billion dollars from General Obligation Bonds in 1996-97 to finance government
operations (Governor's Budget Summary, 1997-98). Approximately $28 million
were to finance CalEPA and the Resources Agency. The use of bond funds
by the Resources Agency is principally for acquisition and protection of
park land; CalEPA applies bond funds to an array of water, air and waste
programs.
Bonds used specifically to fund natural
resources and environmental protection represent 18 percent ($5.1 billion)
of the State's general obligation bond authorizations with outstanding
balances as of Dec. 31, 1996. Of these environmental bonds, 58 percent
of the original authorizations are for programs in water quality, conservation,
and reclamation. The remaining 42 percent are dedicated to parks and recreation
programs which include land acquisitions and park development. Just over
two billion dollars in authorized environmental and resource bonds have
been redeemed, while $1.8 billion remain outstanding.
6.2 New sources
The Sierra Club advocates a restoration
financing approach that eliminates the reliance on commercial harvesting
to cover costs. This approach requires that new sources of funding be identified.
The first option to consider for covering the approximately $375 million
expense of forest restoration is to expand existing sources of funding.
Beyond that, funding strategies new to the Sierra Nevada could be pursued.
6.2.1 Government Financing
Ecosystem investments derived from
federal and state treasuries, are generally not tied to the productivity
or value of the specific ecosystem in which the investment is made. Examples
of the disconnection between ecosystem values that flow out of the ecosystem
and investments flowing in are numerous. New investments should attempt
to make this connection in order to develop sustainable flows of ecosystem
commodities and values. This is particularly important in ecological restoration,
since the costs are recurring costs and permanent funding is required.
Special Funds in the State budget are
designed to address specific funding needs. The Environmental License Plate
Fund described above is an example of the scale of funding that would go
along way toward addressing restoration needs in the Sierra Nevada. That
fundÕs annual $23 million expenditure, accumulated over ten years,
would provide the appropriate scale of funding for restoration. A new Special
Fund would be required of course, but this is an established mechanism
for financing environmental protection and has fewer associated risks than
many other options. Innovation would still be required in defining the
beneficiaries of ecosystem values who would fill the fundÕs coffers.
Attaching a fee to the license plate creates a large class of potential
contributors, but other types of fees, stamps, and licenses can be created
and attached to specific activities like recreation, forest road use, and
commodity extraction. The cost of administering Special Fund programs,
and the absence of political will among State Assembly members, may make
this option less desirable than market-based approaches.
Fire cost recovery funds collected
by the State are another potential source of money for forest restoration.
Money collected by the California Department of Forestry and Fire Protection
from fines, penalties, payments and reimbursements for the cost of fighting
fires, is now deposited into the State General Fund. Between $2 and $4
million is collected annually in both northern and southern California.
A policy change proposed by PCL Foundation would require that these funds
be directed back to CDF for fire prevention activities (PCLF, 1997c).
New federal sources of restoration
funding are few and far between in the current fiscally conservative era
of governance. Proposals which shift federal costs to the private sector
generally receive more favorable reception in Congress. One such proposal
is that of the stewardship contract. An analysis of stewardship contracts
conducted for the NRDC, describes their objective as improving the efficiency
of timber management over that achieved under USDA Forest Service management.
This would effectively eliminate the subsidy currently awarded timber companies
when the Forest Service covers the costs of restoring areas impacted by
timber harvesting. Driven by the opportunity to make a profit, timber companies
would manage the forest in the most efficient way possible, subject to
the constraints imposed on them by the Forest Service contract (Haxthausen,
1995). Under a stewardship contract, the Forest Service would contract
with a timber company to maintain riparian zones, for example, in areas
where harvests are occurring. The NRDC report estimates that if applied
in the matrix lands of Sierra Nevada national forests (areas not under
protection, and not old growth), approximately $1million could be generated
for restoration annually.
The same report evaluated user fees
for recreation on national forests. Given the total estimated annual ecosystem
use values of $225 million for commercial recreation and $434 million for
non-commercial recreation, there is a compelling basis for such fees. Revenues
from developed campsites on National Forests are currently returned to
the U.S. Treasury, rather than to the Forest where they are collected.
If the fee revenue were paid directly to the Forest it would create an
incentive for the USDA Forest Service to maximize recreation opportunities
and increase revenues. Congressional action would be required before use
fees for non-developed recreation could be established. Additional legislative
action would probably be necessary before the revenues could be diverted
from the Treasury back to the Forest. The NRDC concluded that recreational
user fees provide an excellent potential source of revenue (as much as
$100 million in gross annual revenues) for forest habitat restoration and
other Forest Service needs (Haxthausen, 1995).
6.2.2 Market-based Approaches
The examples provided above of certified
forest products and green power from biomass fuels rely on a market mechanism
whereby environmental values are made purchasable in products in the market
place. They require no government intervention in the market. A value added
tax on recreation equipment offers a similar approach to generating revenues
for parks in the state of Texas. The potential for these strategies to
produce sustained funding for forest restoration can not be predicted and
experimentation will be necessary.
Another untested funding strategy involves
trying to integrate commodity production and biodiversity protection goals.
Since forest restoration is a long-term effort in which desired end-states
could take decades to produce, economists have reasoned that integrating
the goals of restoration with sustainable timber management techniques
could be made economically viable. This approach assumes that society values
a particular kind of forest enough to encourage landowners to manage for
its creation. It requires incentives to compensate landowners for creating
forest biodiversity.
An approach examined by researchers
in the Pacific Northwest looks at biodiversity management regimes to produce
specific habitat and forest structures. It includes a sequence of thinning
operations over longer rotations with retention requirements for snags
and woody debris. Researchers models predicted that forest structures fairly
quickly take on the characteristics found in late seral structures and
produce larger trees of higher quality for timber markets (Lippke and Fretwell,
1997). An incentive contract, made between a government agency and a landowner,
would spell out how the landowner would be compensated for their loss (foregone
harvest revenues) and guaranteed the right to harvest in exchange for reaching
certain habitat goals.
Financing of forest restoration in
the Sierra Nevada will likely occur through a set of approaches which reflects
the diversity of forest conditions and recognizes the range of forest ownership
and management regimes. The approaches will rely most heavily on government
sourcesÑboth existing and futureÑ but should also include
market-based approaches which will require some experimentation. Funding
mechanisms which make the connection between values flowing out of the
forest ecosystem and investments flowing in, are more likely to provide
sustainable funding. While biomass is a forest commodity with some value,
incentives and subsidies will be required to bring this product to the
market place at a scale commensurate with the volume of material that could
be produced by aggressive fuel reduction approaches.
1. 1 We retained the use of the term ÒcauseÓ within quotation marks as a short hand for ÒGranger-causeÓ as it appears in the SNEP report. The purpose of the quotations is to signal the reader that caution should be observed in interpreting the results of the analysis of causal relationships as conducted using Granger causality methodology. The SNEP authors stress that, ÒGranger causality explores causality in a purely statistical sense. By itself, it does not imply that one phenomena causes another in an economy or society. However, it does provide evidence about the plausibility of hypotheses about causation drawn from experience, observation, or theory.Ó They further note that while Granger causality methodology cannot explain structurally how economic adjustment occurs, its estimates of economic impact are based on how the economy has actually responded in the past (time-series data being its basis), rather than on assumptions about the structure of the economy commonly used in input-output analyses.