Filters: Tags: breeding habitat (X)
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Knowledge of where energy resources occur and where there is existing development or new development potential, in conjunction with model-predicted golden eagle relative nest site density (Dunk et al. 2019), can be used to identify areas with higher or lower potential resource conflict. Depicted on the map is a 16-class raster that displays the spatial overlap of wind resources (4 classes, low to high) and golden eagle relative nest site density (4 classes, lower to higher). This raster displays the intersection of multi-year mean capacity factors (MCF) for wind turbines and the golden eagle relative nest site density within ecoregion raster. We have divided each probability into equal intervals, and then intersected...
This data set represents modeled Greater Sage-Grouse (GRSG) Breeding Habitat or Breeding Distribution. Modeled data developed by US FWS Kevin Doherty et al. 2015. Model outputs clipped to Current Occupied Range (US FWS 2015). GRSG Breeding Habitat models built within Management Zones because wide variation exists in occupied habitats across the range, and risks to sage-grouse vary across Management Zones. Lek data assembled by WAFWA was used to develop the breeding habitat model. Detailed model outputs were reviewed by biologist from each state, including statistical tables of model fit and how predictions aligned with landscapes local biologist work in. A probabilistic model of occupied breeding habitat was developed...
Knowledge of where energy resources occur and where there is existing development or new development potential, in conjunction with model-predicted golden eagle relative nest site density (Dunk et al. 2019), can be used to identify areas with higher or lower potential resource conflict. Depicted on the map is a 16-class raster that displays the spatial overlap of solar resources (4 classes, low to high) and golden eagle relative nest site density (4 classes, lower to higher). This raster displays the intersection of multi-year mean capacity factors (MCF) for solar photovoltaic systems and the golden eagle relative nest site density within ecoregion raster. We have divided each probability into equal intervals, and...
Historic forest cover in the Mississippi Alluvial Valley has been reduced by >75%. Remaining forests are fragmented, hydrologically altered, and heavily influenced by human activities. Because well drained forests were easily cleared, most remaining large forest fragments are wet forest types. Because forest fragmentation and altered hydrology have negatively affected forest bird populations, we developed a spatially explicit decision support model for bird conservation. This model establishes priority areas for forest restoration that de-fragment the existing bottomland hardwood forests. Our primary objective was to increase the number of forest patches that harbored >2000 ha of interior area (core) that is at...
This is a 16-class categorical raster that displays the intersection of multi-year mean capacity factors (CF) for a solar photovoltaic systems (from the work by Sengupta et al. 2018, Doherty et al. 2016, Blair et al. 2016, and Maclaurin et al. 2019) and the greater sage grouse breeding habitat probability raster. We have divided each probability into quartiles, and then intersected those two 4-class rasters to create a new raster that classifies most areas in the intermountain west into joined solar photovoltaic system development and greater sage grouse breeding habitat probability (0-25, 25-50, 50-75, and 75-100 % for both; 16 classes). For more information and further renewable data, please visit https://maps.nrel.gov/....
This is a 16-class categorical raster that displays the intersection of multi-year mean capacity factors (CF) for wind (from the work by Blair et al. 2016 and Maclaurin et al. 2019) and the greater sage grouse breeding habitat probability raster (Doherty 2016). We have divided each probability into quartiles, and then intersected those two 4-class rasters to create a new raster that classifies most areas in the intermountain west into joined wind system development and greater sage grouse breeding habitat probability (<25, 25-50, 50-75, and >75% for both; 16 classes). For more information and further renewable data, please visit https://maps.nrel.gov/. The purpose of this dataset is to represent the matrix of wind...
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