Data

High-throughput methods for identification of pollinator taxa are desirable to improve our understanding of pollinator distributions, population trends, and ecology. Genetic sequencing of taxonomically informative 'barcode' loci is one high-throughput strategy, which can be applied to individual specimens using Sanger technology and to complex mixtures using metabarcoding technology. This study ge

Sagebrush (Artemisia spp.) ecosystems provide critical habitat for the near-threatened Greater sage-grouse (Centrocercus urophasianus), and future loss of sagebrush habitat because of land use change and global climate change is of concern. We used a dynamic additive spatio-temporal model to estimate effects of climate (spring-summer temperatures and precipitation) on sagebrush cover dynamics at 3

This dataset contains carbon and nitrogen stable isotope values, percent carbon and percent nitrogen, algal pigment data, and diatom taxonomy from lake sediment layers dating back to 1749 Common Era (CE) for Santa Fe lake, New Mexico. Subalpine and alpine lakes are typically sensitive indicators of anthropogenically driven global change. Lake sediment records in the western United States have docu

Greater sage-grouse (Centrocercus urophasianus) has been identified as a potential umbrella species with the assumption that conservation of their habitats in sagebrush ecosystems may benefit multiple other wildlife species, but co-occurrence with an umbrella species does not necessarily guarantee species will respond positively to management for sage-grouse. This may be particularly true for ecot

Data included in this data set are from edge-of-field surveys of managed fields that recorded the presence of erosional features and cover of vegetation and bare ground on 320 Conservation Reserve Program (CRP) fields across central and western United States. Field sampling data was recorded across six US Department of Agriculture Farm Production Regions (Corn belt, Lake states, Mountain, Northern

Habitat fragmentation and degradation impacts an organism's ability to navigate the landscape, ultimately resulting in decreased gene flow and increased extinction risk. Understanding how landscape composition impacts gene flow (i.e., connectivity) and interacts with scale is essential to conservation decision-making. We used a landscape genetics approach implementing a recently developed statisti

The rasters in this dataset represent modeled outputs of potential fire connectivity and relative flow patterns in the Great Basin. We define ‘fire connectivity’ as the landscape’s capacity to facilitate fire transmission from one point on the landscape to another. We applied an omnidirectional circuit theory algorithm (Omniscape) to model fire connectivity in the Great Basin of the western United

This sampling frame is a set of grid-based, finite-area frames spanning the offshore areas surrounding Canada, the United States, and Mexico, and is intended for use with the North American Bat Monitoring Program (NABat). A Generalized Random-Tessellation Stratified (GRTS) Survey Design draw was added to the sample units from the raw sampling grids (https://doi.org/10.5066/P9XBOCVV). The GRTS surv

Animals move to locate important resources such as food, water, and mates. Therefore, movement patterns can reflect temporal and spatial availability of resources as well as when, where, and how individuals access such resources. To test these relationships for a predatory reptile, we quantified the effects of prey abundance on the spatial ecology of invasive brown treesnakes (Boiga irregularis).

Monitoring change in genetic diversity in wildlife populations across multiple scales could facilitate prioritization of conservation efforts. We used microsatellite genotypes from 7,080 previously collected genetic samples from across the greater sage-grouse (Centrocercus urophasianus) range to develop a modelling framework for estimating genetic diversity within a recently developed hierarchical

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

Management intended to benefit a target species may also affect non-target species that co-occur over space and time. Pinyon jay (Gymnorhinus cyanocephalus) populations experienced long-term declines and rely on habitat that could be lost to conifer removal programs for greater sage-grouse (Centrocercus urophasianus). Using 13 years of point count data (2008-2020) collected across the western Unit