Dataset

Raster Datasets: Integrated Scenarios for Assessing Threats to Ecosystem Services on California Rangelands

Commons Hosting
Climate Commons Hosting Status: 
Eligible
Other Online Access: 
Discussion Forum
Basic Information

Raster datasets developed in the project Climate Change/Land Use Change Scenarios for Habitat Threat Assessments on California Rangelands.
This data collection is the product of the CA LCC-funded project "Climate Change/Land Use Change Scenarios for Habitat Threat Assessments on California Rangelands".

The project aids conservation of California rangelands by identifying future integrated threats of climate change and land use change, and quantifying two main co-benefits of rangeland conservation – water supply and carbon sequestration. Through a multi-stakeholder partnership, the project proponents developed integrated climate change/land use change scenarios for the Central Valley and Chaparral and Oak Woodland eco-regions, and disseminated information about future potential threats to high priority conservation areas within the California Rangeland Conservation Coalition (CRCC) study area, which includes the foothills around the Central Valley and most of the southern Inner Coast Range.

The project team calculated metrics at the landscape and watershed scale for the California Rangeland Conservation Coalition (CRCC) focus area and quantified change in wildlife habitat; change in runoff, recharge and stream discharge; and change in soil carbon stocks. The project team also developed an on-line tool that includes maps of important areas where changes in water availability and wildlife habitat coincide. Comparison of analyses across scenarios allows resource managers to identify potential risks and opportunities – both biological and economical – for rangeland across alternative futures.

Includes layers for:

Soil organic carbon (g/m2) in top 20 cm (250 m resolution)
edcm_somsc_2005.img
baseline soil organic carbon data from the Erosion-Deposition Carbon Model.
See http://climate.calcommons.org/aux/rangeland/cbMapDesc.html for data description.

SoilDepth (270 m resolution)
ca_thck4_t6.img
County level soil depth map

Critical habitat (250 m resolution)
habitat_[year]_[scenario].img
recoded as: 0 = unclassified/water/barren/ice/snow; 1 = forest/grassland/shrubland/wetland; 2 = developed/mechanically disturbed/mining/agriculture/hay/pasture
scenarios: A1B, A2, B1, years: 2006, 2010, 2040, 2070, 2100
See http://climate.calcommons.org/aux/rangeland/chMapDesc.html for data description.

Land use/land cover (250 m resolution)
landcover_[year]_[scenario].img
scenarios: a1b, a2, b1
years: 2006, 2010, 2020, 2030, 2040, 2050, 2060, 2070, 2080, 2090, 2100
The U.S. Geological Survey (USGS) developed future scenarios of land use-land cover (LULC) change in the United States as part of a national carbon sequestration assessment required by the U.S. Congress (Energy Independence and Security Act of 2007). Future potential demand, or the area of land required for each LULC class, was based on a set of scenarios from three Intergovernmental Panel on Climate Change (IPCC) Special Report on Emission Scenarios (SRES). The LULC classification scheme of the scenarios closely followed the National Land Cover Database (NLCD) and includes broad classes such as cropland, hay/pasture, development, grassland, forest and wetlands. The USGS used a probabilistic LULC model, FOREcasting SCEnarios of land-use change (FORE-SCE) to distribute future regional LULC change on the landscape for each LULC change scenario. The allocation was based on probabilities of occurrence determined by present-day LULC associations with biophysical and socioeconomic characteristics of the landscape, such as slope, elevation, soil carbon, climate and distance to roads and cities.

Basin Characterization Model outputs:
Climatic water deficit (270 m resolution)
cwd_[30yrclimateperiod]_[climatescenario].img
climate scenario: ca1b (CSIRO A1B), ma1b (MIROC A1B), ga2 (GFDL A2), gb1 (GFDL B1), pa2 (PCM A2), pb1 (PCM B1), HST (historic)
climate periods: 1981-2010, 2010-2039, 2040-2069, 2070-2099
See http://climate.calcommons.org/aux/rangeland/wdMapDesc.html for data description.

Ratio of average recharge to average runoff (270 m resolution)
rch_run_ratio_[30yrclimateperiod]_ave_[climatescenario].img
climate scenario: csiro_mk3_5_A1B, GFDL_A2, GFDL_B1, mirocA1B, PCM_B1, PCM_A2, HST (historic)
climate periods: 1981-2010, 2010-2039, 2040-2069, 2070-2099
See http://climate.calcommons.org/aux/rangeland/rrMapDesc.html for data description.

Recharge (270 m resolution)
rch[30yrclimateperiod]_ave_[climatescenario].img
climate scenario: csiro_mk3_5_A1B, GFDL_A2, GFDL_B1, mirocA1B, PCM_B1, PCM_A2, HST (historic)
climate periods: 1981-2010, 2010-2039, 2040-2069, 2070-2099

Runoff (270 m resolution)
run[30yrclimateperiod]_ave_[climatescenario].img
climate scenario: csiro_mk3_5_A1B, GFDL_A2, GFDL_B1, mirocA1B, PCM_B1, PCM_A2, HST (historic)
climate periods: 1981-2010, 2010-2039, 2040-2069, 2070-2099

Water availability (average recharge + average runoff) (270 m resolution)
rch_run_[30yrclimateperiod]_ave_[climatescenario].img
climate scenario: csiro_mk3_5_A1B, GFDL_A2, GFDL_B1, mirocA1B, PCM_B1, PCM_A2, HST (historic)
climate periods: 1981-2010, 2010-2039, 2040-2069, 2070-2099

Disclaimer: 
Disclaimer: The maps and model results shown are not predictions but should be viewed as multiple scenarios.
Creator: 
Byrd, Kristin B. (USGS Western Geographic Science Center)
Spatial Resolution: 
250 meters
Temporal Coverage: 
2010 - 2100
Date Issued: 
12.2013
Parameters / Choices
A dataset often contains many geodata layers representing the same kind of measurement, but for different values of some parameters - time periods, models or scenarios, different species, etc. A value must be chosen for each such parameter in order to select a specific layer or raster which associated a single value with each geographic location (cell). The parameters or choices relevant to selecting layers from this dataset are described here.
Climate Models: 
Emission Scenarios: 
File Attachments