Spatially explicit analysis of poaching activity as a conservation management tool

Abstract Most Americans support legal hunting for food or as a population management tool, but there are strong concerns about illegal hunting activities such as poaching. Poaching may negatively impact animal populations by causing local extinctions, reducing genetic variability, reducing trophy si...

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Main Authors: Aaron M. Haines, David Elledge, Lucas K. Wilsing, Matt Grabe, Michael D. Barske, Nolan Burke, Stephen L. Webb
Format: Article
Language:English
Published: Wiley 2012-12-01
Series:Wildlife Society Bulletin
Subjects:
Online Access:https://doi.org/10.1002/wsb.194
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author Aaron M. Haines
David Elledge
Lucas K. Wilsing
Matt Grabe
Michael D. Barske
Nolan Burke
Stephen L. Webb
author_facet Aaron M. Haines
David Elledge
Lucas K. Wilsing
Matt Grabe
Michael D. Barske
Nolan Burke
Stephen L. Webb
author_sort Aaron M. Haines
collection DOAJ
description Abstract Most Americans support legal hunting for food or as a population management tool, but there are strong concerns about illegal hunting activities such as poaching. Poaching may negatively impact animal populations by causing local extinctions, reducing genetic variability, reducing trophy size and hunting opportunities, and altering sex ratios and age structures. One approach to help mitigate poaching is to identify patterns of reported poaching activity and to document poaching arrests to help facilitate the efficiency of future surveillance for poachers. Our goal for this manuscript was to analyze temporal, spatial, and environmental patterns associated with poaching activity reported for white‐tailed deer (Odocoileus virginianus) in Fayette County, Iowa, USA, based on reports of poaching activity. We analyzed data from 67 reported poaching events from 2000 to 2009 and correlated these events with temporal, spatial, and environmental variables to determine trends in illegal hunting behavior. We found that poachers preferred to be active during the evening in mid‐ to late autumn (primarily Oct–Dec), on days with no precipitation and high visibility, and in areas next to roads, forests, and riparian cover types containing variable topography. We used these results to develop a spatially explicit map depicting hotspots of poaching activity. By identifying patterns of poaching behavior and spatially explicit prediction maps, conservation officers will be able to survey for poaching activity more efficiently. © 2012 The Wildlife Society.
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spelling doaj-art-16523cd8ed334f43b72249fd1660719f2025-08-20T01:56:32ZengWileyWildlife Society Bulletin2328-55402012-12-0136468569210.1002/wsb.194Spatially explicit analysis of poaching activity as a conservation management toolAaron M. Haines0David Elledge1Lucas K. Wilsing2Matt Grabe3Michael D. Barske4Nolan Burke5Stephen L. Webb6Department of Biological Sciences, Upper Iowa University, 605 Washington Street, Fayette, IA 52142, USAState Conservation Officer [Retired], East Street, Arlington, IA 50606, USADepartment of Biological Sciences, Upper Iowa University, 605 Washington Street, Fayette, IA 52142, USADepartment of Biological Sciences, Upper Iowa University, 605 Washington Street, Fayette, IA 52142, USADepartment of Biological Sciences, Upper Iowa University, 605 Washington Street, Fayette, IA 52142, USADepartment of Biological Sciences, Upper Iowa University, 605 Washington Street, Fayette, IA 52142, USADepartment of Scientific Computing, The Samuel Roberts Noble Foundation, 2510 Sam Noble Parkway, Ardmore, OK 73401, USAAbstract Most Americans support legal hunting for food or as a population management tool, but there are strong concerns about illegal hunting activities such as poaching. Poaching may negatively impact animal populations by causing local extinctions, reducing genetic variability, reducing trophy size and hunting opportunities, and altering sex ratios and age structures. One approach to help mitigate poaching is to identify patterns of reported poaching activity and to document poaching arrests to help facilitate the efficiency of future surveillance for poachers. Our goal for this manuscript was to analyze temporal, spatial, and environmental patterns associated with poaching activity reported for white‐tailed deer (Odocoileus virginianus) in Fayette County, Iowa, USA, based on reports of poaching activity. We analyzed data from 67 reported poaching events from 2000 to 2009 and correlated these events with temporal, spatial, and environmental variables to determine trends in illegal hunting behavior. We found that poachers preferred to be active during the evening in mid‐ to late autumn (primarily Oct–Dec), on days with no precipitation and high visibility, and in areas next to roads, forests, and riparian cover types containing variable topography. We used these results to develop a spatially explicit map depicting hotspots of poaching activity. By identifying patterns of poaching behavior and spatially explicit prediction maps, conservation officers will be able to survey for poaching activity more efficiently. © 2012 The Wildlife Society.https://doi.org/10.1002/wsb.194conservationillegal harvestOdocoileus virginianuspoachingspatial pattern analysiswhite‐tailed deer
spellingShingle Aaron M. Haines
David Elledge
Lucas K. Wilsing
Matt Grabe
Michael D. Barske
Nolan Burke
Stephen L. Webb
Spatially explicit analysis of poaching activity as a conservation management tool
Wildlife Society Bulletin
conservation
illegal harvest
Odocoileus virginianus
poaching
spatial pattern analysis
white‐tailed deer
title Spatially explicit analysis of poaching activity as a conservation management tool
title_full Spatially explicit analysis of poaching activity as a conservation management tool
title_fullStr Spatially explicit analysis of poaching activity as a conservation management tool
title_full_unstemmed Spatially explicit analysis of poaching activity as a conservation management tool
title_short Spatially explicit analysis of poaching activity as a conservation management tool
title_sort spatially explicit analysis of poaching activity as a conservation management tool
topic conservation
illegal harvest
Odocoileus virginianus
poaching
spatial pattern analysis
white‐tailed deer
url https://doi.org/10.1002/wsb.194
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