Filters: partyWithName: Michael P Chenaille (X) > partyWithName: Peter S Coates (X)
73 results (13ms)|
Filters
Date Range
Extensions Types Contacts
Categories Tag Types Tag Schemes |
These data represent habitat selection of greater sage-grouse during the early portion of the brood rearing process.
These data are a habitat restoration index based on the intersection of loss of habitat selected by sage-grouse and loss of habitat contributions to nest survival following wildfire.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: biota,
fires,
habitat alteration and disturbance,
human impacts,
native species,
These data are the result of an intersection between a surface representing the delta-finite rate of population change and another surface representing Greater Sage-grouse abundance and space-use. It was used to rank candidate sites according to greatest potential impact to Greater Sage-grouse populations resulting from the presence of geothermal energy activity. In 2022, candidate geothermal sites were identified in Nevada and eastern California, then buffered by 10 kilometers. While the extent of the overall raster layer encompasses a very large swath of the western US, data values are limited to fall within these 10 kilometer buffers. These data support the following publications: Coates, P.S., Prochazka, B.G.,...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: California,
Ecology,
Great Basin,
Nevada,
USGS Science Data Catalog (SDC),
Wildfire events are becoming more frequent and severe on a global scale. Rising temperatures, prolonged drought, and the presence of pyrophytic invasive grasses are contributing to the degradation of native vegetation communities. Within the Great Basin region of the Western United States, increasing wildfire frequency is transforming the ecosystem toward a higher degree of homogeneity, one dominated by invasive annual grasses and declining landscape productivity. Greater sage-grouse (Centrocercus urophasianus; hereafter sage-grouse) are a species of conservation concern that rely on large tracts of structurally and functionally diverse sagebrush (Artemisia spp.) communities. Using a 12-year (2008-2019) telemetry...
We demonstrate a quantitative approach to differentiate source and sink habitats at large spatial scales using the greater sage-grouse (Centrocercus urophasianus; hereafter, sage-grouse), an indicator species for sagebrush ecosystems, as a case-study. We evaluated both selection and survival across multiple reproductive life stages (nesting, brood-rearing) in the Bi-State Distinct Population Segment (DPS), a genetically distinct and geographically isolated population of sage-grouse on the southwestern edge of the species’ range. Our approach allowed us to identify both mismatches between selection and survival and trade-offs between life stages. These findings suggest competing resource demands across time, with...
Conservation planning efforts for sagebrush ecosystems of western North America increasingly focus on enhancing operational resilience though decision-support tools that link spatially explicit variation in soil and plant processes to outcomes of biotic and abiotic disturbances spanning large spatial extents. However, failure to consider higher trophic-level fauna (e.g. wildlife) in these tools can hinder efforts to operationalize resilience owing to spatiotemporal lags between slower reorganization of plant and soil processes following disturbance, and faster behavioral and demographic responses of fauna to disturbance. These spatial products provide additional examples for managers of sagebrush ecosystems and...
We applied spatially-explicit models to a spatiotemporally robust dataset of greater sage-grouse (Centrocercus urophasianus) nest locations and fates across wildfire-altered sagebrush ecosystems of the Great Basin ecoregion, western USA. Using sage-grouse as a focal species, we quantified scale-dependent factors driving nest site selection and nest survival across broad spatial scales in order to identify wildfire impacts and other environmental influences on variation in nesting productivity across a broad ecoregion spanning mesic and xeric shrub communities. To investigate the consequences of habitat selection and explore the potential for a source-sink reproductive landscape, we sought to classify nesting habitat...
These data represent an resource selection function (RSF) for translocated sage-grouse in North Dakota during the nesting season. Human enterprise has led to large‐scale changes in landscapes and altered wildlife population distribution and abundance, necessitating efficient and effective conservation strategies for impacted species. Greater sage‐grouse (Centrocercus urophasianus; hereafter sage‐grouse) are a widespread sagebrush (Artemisia spp.) obligate species that has experienced population declines since the mid‐1900s resulting from habitat loss and expansion of anthropogenic features into sagebrush ecosystems. Habitat loss is especially evident in North Dakota, USA, on the northeastern fringe of sage‐grouse’...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: North Dakota,
biota,
habitats,
nest,
resource Selection Function,
These rasters are the result of calculating the difference in Greater Sage-grouse nest survival after a simulated reduction of raven density to 0.1 ravens per square kilometer. The difference in nest survival represents spatial variation in potential to improve nest survival by reducing raven impacts. The extent of each individual raster is the extent of the field site at which sage-grouse nest observations were recorded.
We used movement and demographic data to simultaneously evaluate habitat selection by sage-grouse across multiple seasons, and measures of survival during key reproductive life stages (nesting and brood-rearing) to identify priority habitat by linking resource selection to demographic performance. We calculated and mapped composite selection and survival indices across the Bi-State Distinct Population Segment (DPS) to differentiate productive habitat that supported high selection and survival compared to areas of maladaptive selection where selection and survival were misaligned.
These data represent an annual resource selection function (RSF) for translocated sage-grouse in North Dakota. Human enterprise has led to large‐scale changes in landscapes and altered wildlife population distribution and abundance, necessitating efficient and effective conservation strategies for impacted species. Greater sage‐grouse (Centrocercus urophasianus; hereafter sage‐grouse) are a widespread sagebrush (Artemisia spp.) obligate species that has experienced population declines since the mid‐1900s resulting from habitat loss and expansion of anthropogenic features into sagebrush ecosystems. Habitat loss is especially evident in North Dakota, USA, on the northeastern fringe of sage‐grouse’ distribution, where...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: North Dakota,
Resource Selection Function,
biota,
habitats,
sage-grouse,
We developed a framework that strategically targets burned areas for restoration actions (e.g., seeding or planting sagebrush) that have the greatest potential to positively benefit Greater Sage-grouse (Centrocercus urophasianus; hereafter sage-grouse) populations through time. Specifically, we estimated sagebrush (Artemisia Spp.) recovery following wildfire and risk of non-native annual grass invasion under three scenarios: passive recovery, active restoration with seeding, and active restoration with seedling transplants. We then applied spatial predictions of integrated nest site selection and survival models before wildfire, immediately following wildfire, and at 30 and 50 years post-wildfire based on each restoration...
These data are the input tables for the habitat selection and survival models. The tables are the result of extracting values from rasters to both 'used' and 'available' locations; 'used' refers to an observation of a sage-grouse nesting or brood rearing, 'available' is a randomly-generated location proximal to a paired 'used' location. For these locations, we extract values from multiple rasters expressing landscape characteristics such as landcover (such as sagebrush, annual grass, or shrubs, expressed as a percentage), height of sagebrush, distance to water features, distance to anthropogenic features, and topographic transformations (such as slope, heat load index, and roughness). There are also some values...
|
|
