Land parcelization and deer population densities in a rural county of Virginia

Abstract The parcelization of exurban landscapes creates a matrix of intermediately sized and privately managed land parcels, presenting a unique challenge to wildlife managers. During 2010–2011, we studied the correlates between land parcelization, deer density, and hunting patterns in exurban nort...

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Main Authors: Karen R. Lovely, William J. Mcshea, Nelson W. Lafon, David E. Carr
Format: Article
Language:English
Published: Wiley 2013-06-01
Series:Wildlife Society Bulletin
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Online Access:https://doi.org/10.1002/wsb.244
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author Karen R. Lovely
William J. Mcshea
Nelson W. Lafon
David E. Carr
author_facet Karen R. Lovely
William J. Mcshea
Nelson W. Lafon
David E. Carr
author_sort Karen R. Lovely
collection DOAJ
description Abstract The parcelization of exurban landscapes creates a matrix of intermediately sized and privately managed land parcels, presenting a unique challenge to wildlife managers. During 2010–2011, we studied the correlates between land parcelization, deer density, and hunting patterns in exurban northwestern Virginia, USA. We estimated October deer densities (no. deer/km2) and conducted landowner surveys of deer harvest in 13 study blocks of mean size 34.8 km2. The extent of parcelization varied between study blocks; mean parcel size ranged from 2.00 ha to 26.12 ha. We used distance‐sampling techniques to survey pre‐harvest deer densities in each section, with estimated densities ranging from 9.4 deer/km2 to 30.1 deer/km2. We quantified deer harvest through calculations of harvest density and the percentage of land hunted. As parcel size increased, the percentage of land hunted increased. Harvest densities reported by landowners, however, remained constant with the exception of 2.0–4.0‐ha parcels, which had higher harvest densities than 60.8–161.8‐ha parcels. We used linear regression analysis to model the response of deer density (natural log) to landscape metrics, and the best‐fit model predicted deer density from mean parcel size with equivalent models including habitat with mean parcel size. Our results suggest that development processes that subdivide rural lands can significantly increase deer populations. The mechanism for this increase may be restricted hunter access to smaller property parcels and‐or increased probability of deer refuges nearby. © 2013 The Wildlife Society.
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spelling doaj-art-da4dcf76a62748a6998c33f806fef82f2025-08-20T02:36:18ZengWileyWildlife Society Bulletin2328-55402013-06-0137236036710.1002/wsb.244Land parcelization and deer population densities in a rural county of VirginiaKaren R. Lovely0William J. Mcshea1Nelson W. Lafon2David E. Carr3National Zoological ParkSmithsonian Conservation Biology Institute1500 Remount RoadFront RoyalVA22630USANational Zoological ParkSmithsonian Conservation Biology Institute1500 Remount RoadFront RoyalVA22630USAVirginia Department of Game and Inland Fisheries1132 Thomas Jefferson RoadForestVA24551USAUniversity of VirginiaBlandy Experimental Farm400 Blandy Farm LaneBoyceVA22620USAAbstract The parcelization of exurban landscapes creates a matrix of intermediately sized and privately managed land parcels, presenting a unique challenge to wildlife managers. During 2010–2011, we studied the correlates between land parcelization, deer density, and hunting patterns in exurban northwestern Virginia, USA. We estimated October deer densities (no. deer/km2) and conducted landowner surveys of deer harvest in 13 study blocks of mean size 34.8 km2. The extent of parcelization varied between study blocks; mean parcel size ranged from 2.00 ha to 26.12 ha. We used distance‐sampling techniques to survey pre‐harvest deer densities in each section, with estimated densities ranging from 9.4 deer/km2 to 30.1 deer/km2. We quantified deer harvest through calculations of harvest density and the percentage of land hunted. As parcel size increased, the percentage of land hunted increased. Harvest densities reported by landowners, however, remained constant with the exception of 2.0–4.0‐ha parcels, which had higher harvest densities than 60.8–161.8‐ha parcels. We used linear regression analysis to model the response of deer density (natural log) to landscape metrics, and the best‐fit model predicted deer density from mean parcel size with equivalent models including habitat with mean parcel size. Our results suggest that development processes that subdivide rural lands can significantly increase deer populations. The mechanism for this increase may be restricted hunter access to smaller property parcels and‐or increased probability of deer refuges nearby. © 2013 The Wildlife Society.https://doi.org/10.1002/wsb.244density estimationhuman–wildlife conflictmodelingOdocoileus virginianusparcelizationpopulation management
spellingShingle Karen R. Lovely
William J. Mcshea
Nelson W. Lafon
David E. Carr
Land parcelization and deer population densities in a rural county of Virginia
Wildlife Society Bulletin
density estimation
human–wildlife conflict
modeling
Odocoileus virginianus
parcelization
population management
title Land parcelization and deer population densities in a rural county of Virginia
title_full Land parcelization and deer population densities in a rural county of Virginia
title_fullStr Land parcelization and deer population densities in a rural county of Virginia
title_full_unstemmed Land parcelization and deer population densities in a rural county of Virginia
title_short Land parcelization and deer population densities in a rural county of Virginia
title_sort land parcelization and deer population densities in a rural county of virginia
topic density estimation
human–wildlife conflict
modeling
Odocoileus virginianus
parcelization
population management
url https://doi.org/10.1002/wsb.244
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AT davidecarr landparcelizationanddeerpopulationdensitiesinaruralcountyofvirginia