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Some of the SNK rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This dataset consists of raster distribution maps for terrestrial vertebrate species in Alaska. Individual species distribution maps were developed using the best available known occurrence points for each species and modeled using MaxEnt software and a series of environmental predictor variables. Output maps were clipped...
This Project Snapshot provides a brief summary overview of the project "Vulnerability of Hawaiian Forest Birds to Climate Change - Using Models to Link Landscape, Climate, Disease, and Potential Adaptation".
BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Limosa haemastica
Some of the SNK rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This dataset consists of raster distribution maps for terrestrial vertebrate species in Alaska. Individual species distribution maps were developed using the best available known occurrence points for each species and modeled using MaxEnt software and a series of environmental predictor variables. Output maps were clipped...
Some of the SNK rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This dataset consists of raster distribution maps for terrestrial vertebrate species in Alaska. Individual species distribution maps were developed using the best available known occurrence points for each species and modeled using MaxEnt software and a series of environmental predictor variables. Output maps were clipped...
Some of the SNK rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This dataset consists of raster distribution maps for terrestrial vertebrate species in Alaska. Individual species distribution maps were developed using the best available known occurrence points for each species and modeled using MaxEnt software and a series of environmental predictor variables. Output maps were clipped...
BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Branta canadensis
Some of the SNK rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This dataset consists of raster distribution maps for terrestrial vertebrate species in Alaska. Individual species distribution maps were developed using the best available known occurrence points for each species and modeled using MaxEnt software and a series of environmental predictor variables. Output maps were clipped...
Coalbed methane is one of the most important and valuable natural resources in the Western United States. The natural gas that results from CBM development is the cleanest burning fossil fuel, and the extensive domestic supply makes it a central element of the national goal of a secure supply of energy. Demand for natural gas will continue to grow and CBM will play an increasingly larger role in meeting that demand. CBM production has expanded tremendously over the past decade, and the rapidity with which development has expanded has resulted in stresses and tension in affected communities. Development of this important energy resource must be balanced with a number of other important goals of protecting water,...
Some of the SNK rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This dataset consists of raster distribution maps for terrestrial vertebrate species in Alaska. Individual species distribution maps were developed using the best available known occurrence points for each species and modeled using MaxEnt software and a series of environmental predictor variables. Output maps were clipped...
A State Wildlife Action Plan is a comprehensive assessment of a state’s wildlife and wildlife-related issues submitted by the Fish and Wildlife Management agencies of every state. These plans lay out actions necessary to conserve wildlife and their habitat within each state and prevent endangered species listings. Congress has mandated that these action plans be reviewed and revised every ten years to identify the species of greatest conservation need within each state. In addition, these plans provide the basis for state access to funding from the Fish and Wildlife Service State and Tribal Wildlife Grants Program to target such species and enable effective conservation efforts. Our goal is to develop a better understanding...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: North America,
avian
Some of the SNK rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This dataset consists of raster distribution maps for terrestrial vertebrate species in Alaska. Individual species distribution maps were developed using the best available known occurrence points for each species and modeled using MaxEnt software and a series of environmental predictor variables. Output maps were clipped...
Some of the SNK rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This dataset consists of raster distribution maps for terrestrial vertebrate species in Alaska. Individual species distribution maps were developed using the best available known occurrence points for each species and modeled using MaxEnt software and a series of environmental predictor variables. Output maps were clipped...
FY2011Aspen populations are in decline across western North America due to altered fire regimes, herbivory, drought, pathogens, and competition with conifers. Aspen stands typically support higher avian biodiversity than surrounding habitats, and maintaining current distributions of several avian species is likely tied to persistence of aspen on the landscape. We are examining effects of climate change on aspen and associated avian communities in isolated mountain ranges of the northern Great Basin, by coupling empirical models of avian-habitat relationships with spatially-explicit landscape simulations of vegetation and disturbance dynamics (using LANDIS-II) under various climate change scenarios. We are addressing...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Academics & scientific researchers,
Data Acquisition and Development,
Federal resource managers,
LANDIS-II,
LANDIS-II,
This project researched the expected variation in avian demographic responses to environmental change across a gradient of species and landscapes from the San Francisco Bay to the Central Valley of California. We used two avian taxa, waterfowl and songbirds, as case studies for the integration of long-term demographic data with climate change variables. For each taxon, we assessed and synthesized several demographic responses to climate change variables (i.e., precipitation and temperature) to explore the relationship between four large-scale climate indices and bird species arrival dates and nest survival. A web-based application provides natural resource managers with project results.
Categories: Data,
Project;
Tags: 2010,
Applications and Tools,
CA,
CA Central Valley,
California Landscape Conservation Cooperative,
Database of 122 Monitoring Avian Productivity and Survivorship (MAPS) demographic monitoring stations that operated for four or more years in the period 1992-2008 throughout Washington, Oregon and northern California. Cluster analysis (Ward's-K) of capture data (individual birds) from these stations revealed six distinct avian communities classified by forest type and condition that correspond to the distribution of USDA/FIA Forest Group classifications. This figure is provided courtesy Phil Nott at the Institute for Bird Populations (Nott 2011, draft) from research funded by USFS Region Six and the Bureau of Land Management.
Some of the SNK rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This dataset consists of raster distribution maps for terrestrial vertebrate species in Alaska. Individual species distribution maps were developed using the best available known occurrence points for each species and modeled using MaxEnt software and a series of environmental predictor variables. Output maps were clipped...
Some of the SNK rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This dataset consists of raster distribution maps for terrestrial vertebrate species in Alaska. Individual species distribution maps were developed using the best available known occurrence points for each species and modeled using MaxEnt software and a series of environmental predictor variables. Output maps were clipped...
Some of the SNK rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This dataset consists of raster distribution maps for terrestrial vertebrate species in Alaska. Individual species distribution maps were developed using the best available known occurrence points for each species and modeled using MaxEnt software and a series of environmental predictor variables. Output maps were clipped...
These data represent the ability of two thermal infrared cameras to detect a chicken chick under a variety of vegetation coverage's.
Categories: Data;
Tags: Geolocation Measurement,
Geospatial Analysis,
Image Analysis,
Millersville,
USGS Science Data Catalog (SDC),
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