Enumerating White-Tailed Deer Using Unmanned Aerial Vehicles
The white-tailed deer (Odocoileus virginianus) is an ecologically important species in forests of North America. Effective management of forests requires accurate, precise estimates of deer population abundance to plan and justify management actions. Spotlight surveys in combination with distance sa...
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Veröffentlicht in: | Wildlife Society bulletin (2011) 2021-03, Vol.45 (1), p.97-108 |
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creator | PRESTON, TODD M. WILDHABER, MARK L. GREEN, NICHOLAS S. ALBERS, JANICE L. DEBENEDETTO, GEOFFREY P. |
description | The white-tailed deer (Odocoileus virginianus) is an ecologically important species in forests of North America. Effective management of forests requires accurate, precise estimates of deer population abundance to plan and justify management actions. Spotlight surveys in combination with distance sampling are a common method of estimating deer population abundance; however, spotlight surveys are known to have serious drawbacks such as high costs and sampling biases. Therefore, we tested the effectiveness of enumerating deer from unmanned aerial vehicle (UAV) flights, conducted 1 and 6 March 2018, to develop population and density estimates in 2 United States National Parks: Harpers Ferry National Historic Park (HAFE) and Monocacy National Battlefield (MONO). Concurrent spotlight surveys at MONO enabled us to compare estimates obtained by the 2 methods. Deer density estimates by 4 observers of UAV-obtained thermal imagery from HAFE were 94.5 ± 3.9 deer/km². Concurrent UAV and spotlight surveys at MONO found 19.7 ± 0.5 deer/km² and 6.4 ± 4.9 deer/km², respectively; suggesting that spotlight surveys may significantly underestimate deer densities. Despite the logistical challenges to UAV operation, our findings demonstrate that UAVs will become an invaluable tool for wildlife management as technology improves. |
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Effective management of forests requires accurate, precise estimates of deer population abundance to plan and justify management actions. Spotlight surveys in combination with distance sampling are a common method of estimating deer population abundance; however, spotlight surveys are known to have serious drawbacks such as high costs and sampling biases. Therefore, we tested the effectiveness of enumerating deer from unmanned aerial vehicle (UAV) flights, conducted 1 and 6 March 2018, to develop population and density estimates in 2 United States National Parks: Harpers Ferry National Historic Park (HAFE) and Monocacy National Battlefield (MONO). Concurrent spotlight surveys at MONO enabled us to compare estimates obtained by the 2 methods. Deer density estimates by 4 observers of UAV-obtained thermal imagery from HAFE were 94.5 ± 3.9 deer/km². Concurrent UAV and spotlight surveys at MONO found 19.7 ± 0.5 deer/km² and 6.4 ± 4.9 deer/km², respectively; suggesting that spotlight surveys may significantly underestimate deer densities. Despite the logistical challenges to UAV operation, our findings demonstrate that UAVs will become an invaluable tool for wildlife management as technology improves.</description><identifier>ISSN: 2328-5540</identifier><identifier>EISSN: 2328-5540</identifier><identifier>DOI: 10.1002/wsb.1149</identifier><language>eng</language><publisher>Wiley</publisher><subject>density estimate ; distance sampling ; Odocoileus virginianus ; Original Article ; population estimate ; spotlight survey ; thermal imaging ; UAV ; white‐tailed deer</subject><ispartof>Wildlife Society bulletin (2011), 2021-03, Vol.45 (1), p.97-108</ispartof><rights>2021 The Wildlife Society</rights><rights>2021 The Wildlife Society. 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Effective management of forests requires accurate, precise estimates of deer population abundance to plan and justify management actions. Spotlight surveys in combination with distance sampling are a common method of estimating deer population abundance; however, spotlight surveys are known to have serious drawbacks such as high costs and sampling biases. Therefore, we tested the effectiveness of enumerating deer from unmanned aerial vehicle (UAV) flights, conducted 1 and 6 March 2018, to develop population and density estimates in 2 United States National Parks: Harpers Ferry National Historic Park (HAFE) and Monocacy National Battlefield (MONO). Concurrent spotlight surveys at MONO enabled us to compare estimates obtained by the 2 methods. Deer density estimates by 4 observers of UAV-obtained thermal imagery from HAFE were 94.5 ± 3.9 deer/km². Concurrent UAV and spotlight surveys at MONO found 19.7 ± 0.5 deer/km² and 6.4 ± 4.9 deer/km², respectively; suggesting that spotlight surveys may significantly underestimate deer densities. Despite the logistical challenges to UAV operation, our findings demonstrate that UAVs will become an invaluable tool for wildlife management as technology improves.</description><subject>density estimate</subject><subject>distance sampling</subject><subject>Odocoileus virginianus</subject><subject>Original Article</subject><subject>population estimate</subject><subject>spotlight survey</subject><subject>thermal imaging</subject><subject>UAV</subject><subject>white‐tailed deer</subject><issn>2328-5540</issn><issn>2328-5540</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp1kM9LwzAYhoMoOObAf0Do0UtnvjRpEvAy5_wBAw-u7hjSJHUZXSdJZey_t6VDvHh6P14ePnhehK4BTwFjcneI5RSAyjM0IhkRKWMUn_-5L9Ekxi3GGCgICWSE7hfN984F3frmM1lvfOvSlfa1s8mjcyEpYt8XzU43TdfNXPC6Tj7cxpvaxSt0Uek6uskpx6h4WqzmL-ny7fl1Plumhggu09xSprm1gAUvncwky3FZgs0lZzwTVhpNrTDUUlOSvBLSCksBMwzEOAJVNka3w18T9jEGV6mv4Hc6HBVg1YurTlz14h2aDuihkzj-y6n1-8OJvxn4bWz34ZcnvJtIMJb9ANXSYes</recordid><startdate>20210301</startdate><enddate>20210301</enddate><creator>PRESTON, TODD M.</creator><creator>WILDHABER, MARK L.</creator><creator>GREEN, NICHOLAS S.</creator><creator>ALBERS, JANICE L.</creator><creator>DEBENEDETTO, GEOFFREY P.</creator><general>Wiley</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20210301</creationdate><title>Enumerating White-Tailed Deer Using Unmanned Aerial Vehicles</title><author>PRESTON, TODD M. ; WILDHABER, MARK L. ; GREEN, NICHOLAS S. ; ALBERS, JANICE L. ; DEBENEDETTO, GEOFFREY P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2879-6d45a7dd1087be939560bb1d6975738d9ca4d8c4d4cb26f89d8d4105012ce21f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>density estimate</topic><topic>distance sampling</topic><topic>Odocoileus virginianus</topic><topic>Original Article</topic><topic>population estimate</topic><topic>spotlight survey</topic><topic>thermal imaging</topic><topic>UAV</topic><topic>white‐tailed deer</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>PRESTON, TODD M.</creatorcontrib><creatorcontrib>WILDHABER, MARK L.</creatorcontrib><creatorcontrib>GREEN, NICHOLAS S.</creatorcontrib><creatorcontrib>ALBERS, JANICE L.</creatorcontrib><creatorcontrib>DEBENEDETTO, GEOFFREY P.</creatorcontrib><collection>CrossRef</collection><jtitle>Wildlife Society bulletin (2011)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>PRESTON, TODD M.</au><au>WILDHABER, MARK L.</au><au>GREEN, NICHOLAS S.</au><au>ALBERS, JANICE L.</au><au>DEBENEDETTO, GEOFFREY P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Enumerating White-Tailed Deer Using Unmanned Aerial Vehicles</atitle><jtitle>Wildlife Society bulletin (2011)</jtitle><date>2021-03-01</date><risdate>2021</risdate><volume>45</volume><issue>1</issue><spage>97</spage><epage>108</epage><pages>97-108</pages><issn>2328-5540</issn><eissn>2328-5540</eissn><abstract>The white-tailed deer (Odocoileus virginianus) is an ecologically important species in forests of North America. Effective management of forests requires accurate, precise estimates of deer population abundance to plan and justify management actions. Spotlight surveys in combination with distance sampling are a common method of estimating deer population abundance; however, spotlight surveys are known to have serious drawbacks such as high costs and sampling biases. Therefore, we tested the effectiveness of enumerating deer from unmanned aerial vehicle (UAV) flights, conducted 1 and 6 March 2018, to develop population and density estimates in 2 United States National Parks: Harpers Ferry National Historic Park (HAFE) and Monocacy National Battlefield (MONO). Concurrent spotlight surveys at MONO enabled us to compare estimates obtained by the 2 methods. Deer density estimates by 4 observers of UAV-obtained thermal imagery from HAFE were 94.5 ± 3.9 deer/km². Concurrent UAV and spotlight surveys at MONO found 19.7 ± 0.5 deer/km² and 6.4 ± 4.9 deer/km², respectively; suggesting that spotlight surveys may significantly underestimate deer densities. Despite the logistical challenges to UAV operation, our findings demonstrate that UAVs will become an invaluable tool for wildlife management as technology improves.</abstract><pub>Wiley</pub><doi>10.1002/wsb.1149</doi><tpages>12</tpages></addata></record> |
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subjects | density estimate distance sampling Odocoileus virginianus Original Article population estimate spotlight survey thermal imaging UAV white‐tailed deer |
title | Enumerating White-Tailed Deer Using Unmanned Aerial Vehicles |
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