Filters: Tags: California (X)
18,565 results (46ms)|
Filters
Date Range
Extensions Types
Contacts
Categories Tag Types
|
Current binomial (presence/absence) model of Brown Creeper (Certhia americana) using a Boosted Regression Tree model (Hastie & Tibshirani 2000) informed by breeding season avian point count data, modeled vegetation types, and climate data from PRISM (Daly et al. 2004) averaged for the years 1971-2000.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: California,
NPLCC,
Oregon,
Washington,
birds,
Geospatial data that is a derivative land cover product depicting woodland on topographic maps.
This dataset provides timeseries data on water quality and quantity, as collected or computed from outside sources. The format is many tables with one row per time series observation (1 tab-delimited file per site-variable combination, 1 zip file per site). This compilation of data is intended for use in estimating or interpreting metabolism. Sites were included if they met the initial criteria of having at least 100 dissolved oxygen observations and one of the accepted NWIS site types ('ST','ST-CA','ST-DCH','ST-TS', or 'SP'). This dataset is part of a larger data release of metabolism model inputs and outputs for 356 streams and rivers across the United States (https://doi.org/10.5066/F70864KX). The complete release...
This project used species distribution modeling to assess the risk to habitat change under various climate change scenarios for rare plants. To predict the response of rare plant species to climate change, the project modeled the current distribution of the species using climate and environmental data (e.g., soils, disturbance, land-use), use these models to predict the species distribution given climate change, calculate current and future range size, calculate the amount of overlap of predicted future distribution with current distribution, and assess where barriers and protected areas are located with reference to the change in species distribution. Given the results of the distribution modeling, each species...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2010,
CA,
CA-wide,
California,
California Landscape Conservation Cooperative,
This is a shapefile of all California Counties with 2010 Census detailed population data (Census table P3). The true field headings for the Census data can be found in the metadata under attributes as the ones in the table can be abbreviated or truncated.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: 2010 Census,
California,
Counties
The ecosystems of the San Francisco Bay estuary are influenced by the salinity of its waters, which in turn depends on flushing by freshwater inflows from the western slopes of the Sierra Nevada. Estimates of full-natural flows in eight major rivers that flush the Bay are analyzed here by extended empirical-orthogonal-function analyses to characterize distinct ‘modes’ of seasonal flow and runoff variability. These modes provide a clear identification of the seasons in which the various rivers respond to hydroclimatic forcings and the seasons during which the rivers most strongly affect San Francisco Bay salinities. About 60 percent of the runoff variability is shared by the rivers over the course of a year but season-to-season...
Categories: Publication;
Types: Citation;
Tags: California,
Climate,
Estuarine salinity,
San Francisc
Categories: Publication;
Types: Citation;
Tags: Air Quality Assessments,
Air Quality Standards Violations,
Beaches,
Birds,
Bridges,
This map layer is a grid map of 1998 peak vegetation growth for Alaska and the conterminous United States. The nominal spatial resolution is 1 kilometer and the map layer is based on 1-kilometer AVHRR data. The data were compiled by staff at the USGS Center for Earth Resources Observation and Science.
This dataset, termed "GAGES II", an acronym for Geospatial Attributes of Gages for Evaluating Streamflow, version II, provides geospatial data and classifications for 9,322 stream gages maintained by the U.S. Geological Survey (USGS). It is an update to the original GAGES, which was published as a Data Paper on the journal Ecology's website (Falcone and others, 2010b) in 2010. The GAGES II dataset consists of gages which have had either 20+ complete years (not necessarily continuous) of discharge record since 1950, or are currently active, as of water year 2009, and whose watersheds lie within the United States, including Alaska, Hawaii, and Puerto Rico. Reference gages were identified based on indicators that they...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: Alabama,
Alaska,
All 50 states,
Arizona,
Arkansas,
Aeromagnetic data were collected along flight lines by instruments in an aircraft that recorded magnetic-field values and locations. This dataset presents latitude, longitude, altitude, and magnetic-field values.
Aeromagnetic data were collected along flight lines by instruments in an aircraft that recorded magnetic-field values and locations. This dataset presents latitude, longitude, altitude, and magnetic-field values.
Winter (January – March) precipitation (mm) averaged over 2046-2065 from the general circulation model Hadley CM3 (Gordon et al. 2000, Pope et al. 2000) downscaled to a grid cell size of 10 km x 10km. References: Gordon C., C. Cooper , C.A. Senior, H. Banks, J.M. Gregory, T.C. Johns , J.F.B. Mitchell, and R.A. Wood. 2000. The simulation of SST, sea ice extents and ocean heat transports in a version of the Hadley Centre coupled model without flux adjustments. Clim Dyn 16:147–168. Pope, V.D., M.L. Gallani, P.R. Rowntree, and R.A. Stratton. 2000. The impact of new physical parameterisations in the Hadley Centre climate model – HadAM3. Clim Dyn 16:123–146.
Future (2046-2065) predicted probability of fisher year-round occurrence projected under the A1fi emissions scenario with the Hadley CM3 GCM model (Gordon et al. 2000, Pope et al. 2000). Projected fisher distribution was created with Maxent (Phillips et al. 2006) using fisher detections (N = 102, spanning 1993 – 2011) and seven predictor variables: mean winter (January – March) precipitation, mean summer (July – September) precipitation, mean summer temperature amplitude, mean daily low temperature for the month of the year with the warmest mean daily low temperature, mean fraction of vegetation carbon burned, mean vegetation carbon (g C m2), and modal vegetation class. Predictor variables had a grid cell size of...
Description: Predicted probability of fisher year-round occurrence created with Maxent (Phillips et al. 2006) using fisher detections (N = 102, spanning 1993 – 2011) and seven predictor variables: mean winter (January – March) precipitation, mean summer (July – September) precipitation, mean summer temperature amplitude, mean daily low temperature for the month of the year with the warmest mean daily low temperature, mean fraction of vegetation carbon burned, mean vegetation carbon (g C m2), and modal vegetation class. Predictor variables had a grid cell size of 10 km, vegetation variables were simulated with MC1 (Hayhoe et al. 2004) and climate variables were provided by the PRISM GROUP (Daly et al. 1994). This...
The Nature Conservancy (TNC) has derived climate suitability forecasts for most species of trees and shrubs considered to be ecological dominants of terrestrial Californian habitat types. Our plant projections are compiled as decision support tools to help Conservancy project staff, as well as our external partners, develop the necessary plans, priorities and strategies to successfully adapt to uncertain changes in future climate. In the recently completed Southern Sierra Partnership's 2010 Climate-Adapted Conservation Plan for the Southern Sierra Nevada and Tehachapi Mountains, species and habitat forecasts shown here informed the development of a regional conservation design that explicitly incorporates long-term...
The Nature Conservancy (TNC) has derived climate suitability forecasts for most species of trees and shrubs considered to be ecological dominants of terrestrial Californian habitat types. Our plant projections are compiled as decision support tools to help Conservancy project staff, as well as our external partners, develop the necessary plans, priorities and strategies to successfully adapt to uncertain changes in future climate. In the recently completed Southern Sierra Partnership's 2010 Climate-Adapted Conservation Plan for the Southern Sierra Nevada and Tehachapi Mountains, species and habitat forecasts shown here informed the development of a regional conservation design that explicitly incorporates long-term...
The Nature Conservancy (TNC) has derived climate suitability forecasts for most species of trees and shrubs considered to be ecological dominants of terrestrial Californian habitat types. Our plant projections are compiled as decision support tools to help Conservancy project staff, as well as our external partners, develop the necessary plans, priorities and strategies to successfully adapt to uncertain changes in future climate. In the recently completed Southern Sierra Partnership's 2010 Climate-Adapted Conservation Plan for the Southern Sierra Nevada and Tehachapi Mountains, species and habitat forecasts shown here informed the development of a regional conservation design that explicitly incorporates long-term...
This product is one of a set of mapped model simulation results generated for a project called "Global Climate Change and California: Potential Implications for Ecosystems, Health, and the Economy". The project was conducted by the Electrical Power Research Institute (EPRI) and funded by the California Energy Commission's Public Interest Energy Research (PIER) Program. The project was the most detailed study ever undertaken on the potential effect of climate change on California. The work examined a broad array of potentially affected sectors as well as the interactions between climate change and increased population, economic growth, and technological change. It considered a wide range of climate change scenarios,...
|
|
