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Freshwater fishes are highly vulnerable to human-caused climate change, resulting in rapid changes in status. Because quantitative data on status and trends are unavailable for most fish species, a rapid assessment approach that incorporates expert knowledge is needed to assess current status and future vulnerability. In this study, we present a method that allows systematic evaluation of potential climate change effects on freshwater fishes, using California as an example. The method uses expert knowledge of the authors, supported by literature reviews of status and biology of the fishes, to score ten metrics for both (1) current status of each species (baseline vulnerability to extinction) and (2) likely future...
In 2010 the U.S. Geological Survey (USGS), Coastal and Marine Geology Program completed three cruises to map the bathymetry of the main channel and shallow intertidal mudflats in the southernmost part of south San Francisco Bay. The three surveys were merged to generate comprehensive maps of Coyote Creek (from Calaveras Point east to the railroad bridge) and Alviso Slough (from the bay to the town of Alviso) to establish baseline bathymetry prior to the breaching of levees adjacent to Alviso and Guadalupe Sloughs as part of the South Bay Salt Pond Restoration Project (http://www.southbayrestoration.org). Since 2010 we have conducted four additional surveys to monitor bathymetric change in this region as restoration...
This dataset contains monthly average hours of fog and low cloud cover (FLCC) per day for North and Central Coastal California. The set of 42 grids has one for each summer month (June, July, August, and September) for each year (1999 - 2009), except for 2 missing months (June 2001 and August 2006) . Grid cell values were calculated using eleven years of hourly, day and night, cloud maps derived from geostationary operational environmental satellite (GOES) images collected and processed by the Cooperative Institute for Research in the Atmosphere (CIRA).For more information about this data and the Pacific Coastal Fog Project, see http://geography.wr.usgs.gov/fog (link is external) (link is external) and this article...
Data layers of current and projected suitable habitat for five species: big-eared woodrat (Neotoma macrotis), California gnatcatcher, Ceanothus greggii, Ceanothus verrucosus, and Tecate cypress in the South Coast Ecoregion in California, USA. Data set includes scenarios with and without projected urban growth over a 50 year period, and with and without projected climate change over a 50 year period. The potential distribution of the big-eared woodrat (Neotoma macrotis) was modeled using a MaxEnt species distribution model using recent and future climate data with presence records from the San Diego Natural History Museum. Species distributions were modeled only for the South Coast Ecoregion in California, USA as...
Data layers of current and projected suitable habitat for five species: big-eared woodrat (Neotoma macrotis), California gnatcatcher, Ceanothus greggii, Ceanothus verrucosus, and Tecate cypress in the South Coast Ecoregion in California, USA. Data set includes scenarios with and without projected urban growth over a 50 year period, and with and without projected climate change over a 50 year period. The potential distribution of Ceanothus greggii was modeled using a MaxEnt species distribution model using recent and future climate data with presence records from the San Diego Natural History Museum. Species distributions were modeled only for the South Coast Ecoregion in California, USA as this is where management...
Data layers of current and projected suitable habitat for five species: big-eared woodrat (Neotoma macrotis), California gnatcatcher, Ceanothus greggii, Ceanothus verrucosus, and Tecate cypress in the South Coast Ecoregion in California, USA. Data set includes scenarios with and without projected urban growth over a 50 year period, and with and without projected climate change over a 50 year period.
Environmental Change Network: Current and Future Zonation PrioritizationZonation is a spatial conservation planning software tool that can take into account multiple species to create a hierarchical prioritization of the landscape. This is in contrast to other spatial conservation planning tools which may require predefined conservation targets or areas. Here, we used 199 California landbirds along with Zonation’s “core-area” algorithm to prioritize the California landscape. Species were weighted according to the California Bird Species of Special Concern criteria and probability of occurrence was discounted by distribution model and climate model uncertainty surfaces.The dataset provides priority areas for “current”...
Distribution (present and historical) maps for all 133 native freshwater fish species in California. Maps include observation made during field surveys by various state and federal agencies. The data are compiled from multiple sources and experts and is stored and exported as rangemaps and summary maps. Sources include databases from CA Fish and Wildlife, NatureServe, CalTrout, and FERC relicensing.The data includes polygons describing these range types:Extant Range - Expert OpinionObservedHistoric Range - Expert OpinionTranslocated - Expert OpinionTranslocated - ObservedData is available as KMZ and SHP formats. To access spatial data for a species, search for it by name, click the “Spatial Data” tab, and then click...
Distribution maps of ensemble averages and standard deviations for each species modeled future bioclimatic envelope. These maps demonstrate the diversity of projections from the array of modeled studied by the project. Consists of 200 layers: 100 species (50 bird, 50 plant) 2 stats (avg, std) value is 0..1 suitability.
This set of elevation models was developed to understand current (2010) conditions of San Francisco salt marshes and for input into sea-level rise prediction models. These elevation models were built by interpolating surveyed elevation points. The elevation surveys were conducted with a Leica RX1230 Real-Time Kinematic GPS which is capable of < 2 cm vertical accuracy.
Change in the percentage of watershed area with critical habitat from 2010 to a future time period These maps display the change in the proportion of watershed area that contains critical habitat from 2010 to a future time period for three IPCC-SRES scenarios – A1B, A2 and B1. Future time periods displayed include 2040, 2070 and 2100. Watershed boundaries are from the 8-digit Watershed Boundary Dataset (http://water.usgs.gov/GIS/huc.html). Critical habitat is defined as critical priority conservation areas mapped in the California Rangeland Conservation Coalition’s focus area map (http://www.carangeland.org/focusarea.html). Priority conservation areas were defined by The Nature Conservancy as privately-owned rangelands...
The raster grids in this dataset show the relative amount of summertime fog and low cloud cover (FLCC) over a decade for North and Central Coastal California on either a monthly or annual basis. Summertime FLCC is calculated as the average FLCC hours per day from an archive of hourly, day and night, June, July, August, and September, 1999 - 2009, GOES (geostationary operational environmental satellite) images collected and processed into ~26, 000 cloud maps by the Cooperative Institute for Research in the Atmosphere (CIRA). These decadal average FLCC rasters do not include years 2001 and 2006 due to missing or incomplete data for June 2001 and August 2006.Layers included:Files, Description1 Decadal Summer (average...
Bird community turnover for current and future climate (GFDL) based on maxent models for 198 land bird species.
Data layers of current and projected suitable habitat for five species: big-eared woodrat (Neotoma macrotis), California gnatcatcher, Ceanothus greggii, Ceanothus verrucosus, and Tecate cypress in the South Coast Ecoregion in California, USA. Data set includes scenarios with and without projected urban growth over a 50 year period, and with and without projected climate change over a 50 year period. The potential distribution of Tecate cypress was modeled using a MaxEnt species distribution model using recent and future climate data with presence records from the San Diego Natural History Museum. Species distributions were modeled only for the South Coast Ecoregion in California, USA as this is where management...
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...
Percent change in grassland soil carbon sequestration potential. These maps display the percent change in the potential for grassland soil carbon sequestration for each watershed under three IPCC-SRES scenarios – A1B, A2 and B1. Watershed boundaries are from the 8-digit Watershed Boundary Dataset (http://water.usgs.gov/GIS/huc.html). Here soil carbon represents soil organic carbon (up to 20 cm in depth). Future change in soil carbon was modeled by the U.S. Geological Survey’s General Ensemble Biogeochemical Modeling System (GEMS) (http://www.usgs.gov/climate_landuse/land_carbon/BGM.asp). Carbon model outputs were produced through the U.S. Geological Survey’s (USGS) national carbon sequestration assessment of ecosystem...
These maps display the magnitude of projected future climate change in relation to the interannual variability in late 20th century CA climate. The maps show the standardized Euclidean distance between the late 20th century climate at each pixel and the future climate at each pixel. The standardization puts all of the climate variables included on the same scale and down weights changes in future climate which have had large year to year variation historically. Warmer colors indicate greater climate change and cooler colors indicate less extreme climate change.
Average percent change in multiple ecosystem services from 2010 to 2040 These maps display the average percent change in three rangeland ecosystem services – total ecosystem carbon, critical habitat and water availability – from 2010 to 2040 for three IPCC-SRES scenarios (A1B, A2 and B1) and two climate projections (warm, wet future and hot, dry future). Total ecosystem carbon is total carbon stored in vegetation and soils (up to 20 cm in depth), and was estimated annually from 2006 to 2050 by the U.S. Geological Survey’s General Ensemble Biogeochemical Modeling System (GEMS) (http://www.usgs.gov/climate_landuse/land_carbon/BGM.asp). See Percent change in total ecosystem carbon dataset page for model details. Critical...
Priority areas for conservation of tidal marsh birds given current and future environmental conditions. Maps were created using Zonation, a spatial conservation planning software tool that can take into account multiple species and scenarios to create a hierarchical prioritization of the landscape.The current (2010) and future (2030-2110) prioritization is based upon distribution and abundance models for five tidal marsh bird species which utilized avian observation data (2000 - 2009), a marsh accretion model, and physical variables (e.g. salinity, distance to nearest channel, slope, etc). Values represent the rank in which pixels were removed from the landscape using Zonation Conservation Planning software with...
Full Title: Environmental Change Network: Current and Projected VegetationThe current vegetation layer is derived from the vegetation map developed as part of the California Gap Analysis project. The derivation takes the California Wildlife Habitat Relationships (CWHR) habitat classification provided in the California Gap Analysis layer, generalizes the classes to a set of broader habitat types, and rasterizes it at 800 meter resolution.The future vegetation layers for both the GFDL and CCSM GCM models are derived using a random forest model of the vegetation classification. The original CWHR classification has been generalized to 12 classes for ease in modeling. Inputs to the model include eight bioclimatic variables...