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 |