popcluster: Developing Hierarchical Population Monitoring Frameworks for mobile species with high site fidelity
September 26, 2019
The software "popcluster" constructs hierarchically nested groupings of similar habitats associated with field surveys while considering biological structure/connectedness (movements between habitats). This approach can support mobile species with high site fidelity where monitoring during surveys occurs on birthing grounds, breeding grounds, or stopovers/seasonal habitat for migratory species. Each nested level of the resulting hierarchical monitoring framework will represent an increasing number of similarly clustered survey observation sites allowing for comparisons of population changes across spatial and temporal scales. We applied these concepts to greater sage-grouse (Centrocercus urophasianus), a lekking (breeding grounds) species of conservation concern, in two disparate ecological contexts (Nevada and Wyoming, USA).
Citation Information
Publication Year | 2019 |
---|---|
Title | popcluster: Developing Hierarchical Population Monitoring Frameworks for mobile species with high site fidelity |
DOI | 10.5066/P928QJZP |
Authors | Michael O'Donnell, David R Edmunds, Cameron Aldridge, Julie A Heinrichs, Peter S Coates, Brian G Prochazka, Steve Hanser |
Product Type | Software Release |
Record Source | USGS Asset Identifier Service (AIS) |
USGS Organization | Fort Collins Science Center |
Related
Designing multi-scale hierarchical monitoring frameworks for wildlife to support management: A sage-grouse case study
Population monitoring is integral to the conservation and management of wildlife; yet, analyses of population demographic data rarely consider processes occurring across spatial scales, potentially limiting the effectiveness of adaptive management. Therefore, we developed a method to identify hierarchical levels of organization (i.e., populations) to define multiple spatial scales...
Authors
Michael S. O'Donnell, David R. Edmunds, Cameron L. Aldridge, Julie A. Heinrichs, Peter S. Coates, Brian G. Prochazka, Steve E. Hanser
Cameron L Aldridge, PhD
Branch Chief / Supervisory Research Ecologist
Branch Chief / Supervisory Research Ecologist
Email
Phone
Peter Coates, PhD
Supervisory Research Wildlife Biologist
Supervisory Research Wildlife Biologist
Email
Phone
Related
Designing multi-scale hierarchical monitoring frameworks for wildlife to support management: A sage-grouse case study
Population monitoring is integral to the conservation and management of wildlife; yet, analyses of population demographic data rarely consider processes occurring across spatial scales, potentially limiting the effectiveness of adaptive management. Therefore, we developed a method to identify hierarchical levels of organization (i.e., populations) to define multiple spatial scales...
Authors
Michael S. O'Donnell, David R. Edmunds, Cameron L. Aldridge, Julie A. Heinrichs, Peter S. Coates, Brian G. Prochazka, Steve E. Hanser
Cameron L Aldridge, PhD
Branch Chief / Supervisory Research Ecologist
Branch Chief / Supervisory Research Ecologist
Email
Phone
Peter Coates, PhD
Supervisory Research Wildlife Biologist
Supervisory Research Wildlife Biologist
Email
Phone