Skip to main content
Advanced Search

Filters: Tags: biota (X) > partyWithName: Ecosystems (X) > partyWithName: Fort Collins Science Center (X) > partyWithName: U.S. Geological Survey - ScienceBase (X) > Categories: Data Release - Revised (X)

4 results (9ms)   

View Results as: JSON ATOM CSV
thumbnail
Potentially suitable habitat for the American burying beetle (Nicrophorus americanus) was identified within the Southern Plains. The American burying beetle (ABB) is listed as endangered under the Endangered Species Act, but in 2019 the U.S. Fish and Wildlife Service proposed to reclassify this species as threatened. We applied a deductive model for the ABB that identified potentially suitable habitat using LANDFIRE Existing Vegetation Types (EVT). The habitat model ranked each EVT using one of four categories: (1) favorable; suitable vegetation to support all or critical portions of the ABB life cycle, (2) conditional; favorable only under certain conditions including seasonality of flooding and land management...
thumbnail
We developed habitat suitability models for invasive plant species selected by Department of Interior land management agencies. We applied the modeling workflow developed in Young et al. 2020 to species not included in the original case studies. Our methodology balanced trade-offs between developing highly customized models for a few species versus fitting non-specific and generic models for numerous species. We developed a national library of environmental variables known to physiologically limit plant distributions (Engelstad et al. 2022 Table S1: https://doi.org/10.1371/journal.pone.0263056) and relied on human input based on natural history knowledge to further narrow the variable set for each species before...
thumbnail
Genetic variation is a well-known indicator of population fitness yet is not typically included in monitoring programs for sensitive species. Additionally, most programs monitor populations at one scale, which can lead to potential mismatches with ecological processes critical to species’ conservation. Recently developed methods generating hierarchically nested population units (i.e., clusters of varying scales) for greater sage-grouse (Centrocercus urophasianus) have identified population trend declines across spatiotemporal scales to help managers target areas for conservation. The same clusters used as a proxy for spatial scale can alert managers to local units (i.e., fine-scale) with low genetic diversity relative...
thumbnail
The data release presents observations of riparian vegetation, topography, and ground cover in two river reaches of the Upper Colorado River within a river segment extending 208 river kilometers (rkm), from near the Colorado/Utah border to the confluence of the Green River. Methods included field observations and analysis of the plant community five times over eight years in the fall of 2010, 2012, 2013, 2015 and 2017, encompassing a second cycle of biocontrol-induced dieback of invasive Tamarix spp. shrubs. The data release includes four .csv files related to field observations: UTM coordinates of field transects; vegetation, topography and ground surface information at the pinpoint level and at the transect level;...


    map background search result map search result map Estimated habitat suitability for the American burying beetle using land cover classes in the Southern Plains (ver. 1.1, June 2020) Riparian vegetation, topography, and ground cover constituents along the Upper Colorado River near Moab, UT (2010-2017) (ver. 1.1, Jan 2023) INHABIT species potential distribution across the contiguous United States (ver. 3.0, February 2023) Greater sage-grouse genetic warning system, western United States (ver 1.1, January 2023) Riparian vegetation, topography, and ground cover constituents along the Upper Colorado River near Moab, UT (2010-2017) (ver. 1.1, Jan 2023) Estimated habitat suitability for the American burying beetle using land cover classes in the Southern Plains (ver. 1.1, June 2020) Greater sage-grouse genetic warning system, western United States (ver 1.1, January 2023) INHABIT species potential distribution across the contiguous United States (ver. 3.0, February 2023)