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At-risk and range restricted species models: Geographic Datasets for Lithobates capito (Gopher Frog)
The Virginia Department of Conservation and Recreation – Natural Heritage Program (DCRDNH) and the Florida Natural Areas Inventory (FNAI) at Florida State University (collectively, Project Partners) were funded by the South Atlantic Landscape Conservation Cooperative (SALCC) in April 2015 to develop ten species distribution models (SDM) of priority at-risk and range-restricted species (Ambystoma cingulatum, Echinacea laevigata, Heterodon simus, Lindera melissifolia, Lythrum curtissii, Notophthalmus perstriatus, Phemeranthus piedmontanus, Rhus michauxii, and Schwalbea americana) for the purposes of incorporating the models and supporting information on the conservation and management needs of the species into the...
Despite the lack of surface flows, the Colorado River riparian corridor in Mexico has proven to be ecologically resilient. Floods in the 1980s and 90s in the region brought back large swaths of native riparian habitat, which still persist today in some areas along the river. Because the historic floodplain is extremely important for agricultural production and therefore the local economy, habitat maintenance must be integrated with continued utilization of lands and water for this purpose.The riparian, marsh, and open-water areas found in Reach 4 provide critical habitat for both migratory and resident riparian bird species. Due to its ecological importance, the riparian corridor and Reach 4 in particular have been...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2014,
Applications and Tools,
Baja California,
Colorado River Delta,
Data,
Our objective was to model intermittency (perennial, weakly intermittent, or strongly intermittent) on small, ungaged streams in the Upper Colorado River Basin. Modeling streamflows is an important tool for understanding landscape-scale drivers of flow and estimating flows where there are no gaged records. We focused our study in the Upper Colorado River Basin, a region that is not only critical for water resources but also projected to experience large future climate shifts toward a drier climate.We used a random forest modeling approach to model the relation between intermittency on gaged streams (115 gages) and environmental variables. We then projected intermittency status to ungaged reaches in the Upper Colorado...
Our objective was to model minimum flow coefficient of variation (CV) on small, ungaged streams in the Upper Colorado River Basin. Modeling streamflows is an important tool for understanding landscape-scale drivers of flow and estimating flows where there are no gaged records. We focused our study in the Upper Colorado River Basin, a region that is not only critical for water resources but also projected to experience large future climate shifts toward a drier climate. We used a random forest modeling approach to model the relation between minimum flow CV (the standard deviation of annual minimum flows times 100 divided by the mean of annual minimum flows) on gaged streams (115 gages) and environmental variables....
Arithmetic mean of the rank values of sensitivity and exposure variables.
Our objective was to model frequency of low-pulse events on small, ungaged streams in the Upper Colorado River Basin. Modeling streamflows is an important tool for understanding landscape-scale drivers of flow and estimating flows where there are no gaged records. We focused our study in the Upper Colorado River Basin, a region that is not only critical for water resources but also projected to experience large future climate shifts toward a drier climate. We used a random forest modeling approach to model the relation between frequency of low-pulse events on gaged streams (115 gages) and environmental variables. We then projected frequency of low-pulse events to ungaged reaches in the Upper Colorado River Basin...
This data product contains combined estimates of high habitat connectivity areas for mountain lion, mule deer, desert bighorn sheep, and black bear. The analysis area was a 236,000 square kilometers that encompassed the Navajo Nation, which includes portions of Arizona, New Mexico, and Utah. The estimates of habitat quality were created with spatially explicit habitat variables and either an expert-based linear combination process (for mountain lion and mule deer) or a generalized linear mixed model-based estimation that used radio-collar telemetry data (for desert bighorn sheep, black bear, and pronghorn; collected between 2005-2011). Habitat variables varied among species but included vegetation type, terrain...
We represent vulnerability as matrix that relates impacts with adaptive capacity. Vulnerability is high when impact is high and adaptive capacity is low. Vulnerability is moderate when either the impact is high and adaptive capacity is high, or if impact is low and adaptive capacity is low. Vulnerability is low when impact is low and adaptive capacity is high. We represent these conceptually as categorical for ease of discussion, but in reality there is continuum of vulnerabilities, and a different adaptation strategies and likely conservation actions, depending on the characteristics of the vulnerability.
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