Using demographic attributes from long‐term monitoring data to delineate natural population structure

The concept of ‘natural’ populations is a foundation of modern ecology and conservation, with a large body of theoretical literature using these discrete demographic units to understand population dynamics and prioritize conservation strategies. To date, there are currently no objective methods for...

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Veröffentlicht in:The Journal of applied ecology 2016-04, Vol.53 (2), p.491-500
Hauptverfasser: Rushing, Clark S, Ryder, Thomas B, Scarpignato, Amy L, Saracco, James F, Marra, Peter P, Siriwardena, Gavin
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container_issue 2
container_start_page 491
container_title The Journal of applied ecology
container_volume 53
creator Rushing, Clark S
Ryder, Thomas B
Scarpignato, Amy L
Saracco, James F
Marra, Peter P
Siriwardena, Gavin
description The concept of ‘natural’ populations is a foundation of modern ecology and conservation, with a large body of theoretical literature using these discrete demographic units to understand population dynamics and prioritize conservation strategies. To date, there are currently no objective methods for empirically delineating large‐scale population boundaries using demographic data. We present a novel approach for using large‐scale, citizen‐science monitoring data to quantify geographic structure in trend and abundance and identify distinct natural populations. We demonstrate this approach by delineating populations of eight passerine species using data collected as part of the North American Breeding Bird Survey. Our approach was able to identify geographic structure in both trend and abundance and to delineate distinct populations for all eight species. An independent validation of three species indicated this demographic variation was reflected in underlying vital rates. Synthesis and applications. Natural populations are biologically based alternatives to the traditional geographically defined units that can improve the ability of researchers and managers to quantify spatial variation in population dynamics. Our analysis of natural population structure in breeding songbirds demonstrates that species can show substantial geographic variation in population attributes and underlying demography. We recommend managers define spatial units using natural populations when setting regional population objectives for both single and multispecies conservation plans.
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subjects Andrewartha & Birch
Animal populations
Biogeography
Birds
breeding
Breeding Bird Survey
conservation planning
demography
geographical variation
hierarchical clustering
local population
managers
Monitoring
natural population
population dynamics
population structure
researchers
songbirds
surveys
Wildlife conservation
title Using demographic attributes from long‐term monitoring data to delineate natural population structure
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