Filters: Tags: Species of Concern (X) > Date Range: {"choice":"year"} (X)
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These tables serve as input data for hierarchical models investigating interactions between raven density and Greater Sage-grouse nest success. Observations were recorded over an 11 year time period, spanning from 2009 through 2019. The model is run in JAGS via R, the code is publicly available via the U.S. Geological Survey's GitLab (O'Neil et al. 2023). We recommend not making any changes or edits to the tables unless the user is experienced with hierarchical modeling. References: O'Neil, S.T., Coates, P.S., Webster, S.C., Brussee, B.E., Dettenmaier, S.J., Tull, J.C., Jackson, P.J., Casazza, M.L., and Espinosa, S.P., 2023, Code for a hierarchical model of raven densities linked with sage-grouse nest survival...
Developing a Geodatabase and Geocollaborative Tools to Support Springs and Springs Dependent Species
The Museum of Northern Arizona will leverage tools previously developed through its Springs Stewardship Initiative to help resource managers in the southwestern U.S. collect, analyze, report upon, monitor and archive the complex and inter-related information associated with springs and spring-dependent species in the region. Building upon those past efforts, the project will include compilation of existing springs-related information to make the information more readily available online and further development of interactive online maps and climate change risk assessment tools of springs-dependent sensitive plant and animal species. This project builds on an effort funded in FY 2013 to complete similar work for...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: AZ-01,
AZ-04,
Arizona,
CO-02,
CO-03,
This data layer summarizes ecological systems and land cover classes described in state-level and national-level maps as Broadly Defined Habitats for groups of species of conservation concern. Each grid cell in the raster is assigned a Condition Index value based on desired condition metrics using ancillary datasets and a decision tree approach for each assessed habitat. Grid cells are also assigned bar code descriptors indicating which metrics contributed to the Condition Index score for that cell. This layer also contains information about potential habitats based on the LANDFIRE Biophysical Settings data layer. This layer was developed to support the next iteration of the Conservation Blueprint developed by the...
Categories: Data,
Map;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: Arkansas,
Ecological Systems,
Ecosystems,
Habitats,
Species of Concern,
Rasters representing median raven density estimates, calculated from approximately 28,000 raven point count surveys conducted between 2009 and 2019. Estimates were the result of a Bayesian hierarchical distance sampling model, using environmental covariates on detection and abundance.
Museum of Northern Arizona, Inc. will leverage tools previously developed by the Springs Stewardship Initiative to help resource managers in the southwestern U.S. collect, analyze, report upon, monitor and archive the complex and interrelated information associated with springs and spring-dependent species in the region. The information will be compiled and made readily available online. The Museum will further develop interactive online maps and climate change risk assessment tools of springs-dependent sensitive plant and animal species.
Categories: Data,
Project;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: 2013,
AL-05,
AZ-01,
AZ-02,
AZ-03,
We combined approximately 28,000 raven point count surveys with data from more than 900 sage-grouse nests between 2009 and 2019 within the Great Basin, USA. We modeled variation in raven density using a Bayesian hierarchical distance sampling approach with environmental covariates on detection and abundance. Concurrently, we modeled sage-grouse nest survival using a hierarchical frailty model as a function of raven density as well as other environmental covariates that influence risk of failure. Raven density commonly exceeded more than 0.5 ravens per square kilometer and increased at low relative elevations with prevalent anthropogenic development and/or agriculture. Reduced sage-grouse nest survival was strongly...
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.
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