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Conceptual illustration of hierarchically nested population units

By Fort Collins Science Center September 2019 (approx.)
Polygons at different levels, getting smaller at the fine scale level.
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Detailed Description

Conceptual illustration of hierarchically nested population units (O’Donnell and others, 2022). Management/population units of aggregated breeding sites (leks) support comparisons of populations across different scales to ascertain local and regional drivers affecting population changes.

 

Sources/Usage

Public Domain.

Related Content

This figure was included in the following publications.

Defining fine-scaled population structure among continuously distributed populations

Understanding wildlife population structure and connectivity can help managers identify conservation strategies, as structure can facilitate the study of population changes and habitat connectivity can provide information on dispersal and biodiversity. To facilitate the use of wildlife monitoring data for improved adaptive management, we developed a novel approach to define hierarchical tiers (mul
Authors
Michael O'Donnell, David R. Edmunds, Cameron L. Aldridge, Julie A. Heinrichs, Adrian P. Monroe, Peter S. Coates, Brian G. Prochazka, Steve E. Hanser, Lief A. Wiechman
By
Ecosystems Mission Area, Fort Collins Science Center, Western Ecological Research Center (WERC)

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, specifically in
Authors
Michael S. O'Donnell, David R. Edmunds, Cameron L. Aldridge, Julie A. Heinrichs, Peter S. Coates, Brian G. Prochazka, Steve E. Hanser
By
Ecosystems Mission Area, Fort Collins Science Center, Western Ecological Research Center (WERC), Forest and Rangeland Ecosystem Science Center

Related Content

This figure was included in the following publications.

Defining fine-scaled population structure among continuously distributed populations

Understanding wildlife population structure and connectivity can help managers identify conservation strategies, as structure can facilitate the study of population changes and habitat connectivity can provide information on dispersal and biodiversity. To facilitate the use of wildlife monitoring data for improved adaptive management, we developed a novel approach to define hierarchical tiers (mul
Authors
Michael O'Donnell, David R. Edmunds, Cameron L. Aldridge, Julie A. Heinrichs, Adrian P. Monroe, Peter S. Coates, Brian G. Prochazka, Steve E. Hanser, Lief A. Wiechman
By
Ecosystems Mission Area, Fort Collins Science Center, Western Ecological Research Center (WERC)

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, specifically in
Authors
Michael S. O'Donnell, David R. Edmunds, Cameron L. Aldridge, Julie A. Heinrichs, Peter S. Coates, Brian G. Prochazka, Steve E. Hanser
By
Ecosystems Mission Area, Fort Collins Science Center, Western Ecological Research Center (WERC), Forest and Rangeland Ecosystem Science Center