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Camera Trapping Photographic Rate as an Index of Density in Forest Ungulates
1. Calibrating indices of animal abundance to true densities is critical in wildlife studies especially when direct density estimations are precluded by high costs, lack of required data or model parameters, elusiveness and rarity of target species. For studies deploying camera traps, the use of pho...
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Published in: | The Journal of applied ecology 2009-10, Vol.46 (5), p.1011-1017 |
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description | 1. Calibrating indices of animal abundance to true densities is critical in wildlife studies especially when direct density estimations are precluded by high costs, lack of required data or model parameters, elusiveness and rarity of target species. For studies deploying camera traps, the use of photographic rate (photographs per sampling time) as an index of abundance potentially applies to the majority of terrestrial mammals where individual recognition, and hence capture—recapture analysis, are unfeasible. The very few studies addressing this method have either been limited by lack of independence between trapping rates and density estimations, or because they combined different species, thus introducing potential bias in camera trap detection rates. This study uses a single model species from several sites to analyse calibration of trapping rates to independently derived estimations of density. The study also makes the first field test of the method by Rowcliffe et al. (2008) for density derivation from camera trapping rates based on modelling animal-camera contacts. 2. We deployed camera traps along line transects at six sites in the Udzungwa Mountains of Tanzania and correlated trapping rates of Harvey's duiker Cephalophus harveyi with densities estimated from counts made along the same transects. 3. We found a strong, linear relationship (R² = 0·90) between trapping rate and density. Sampling precision analysis indicates that camera trapping rates reach satisfactory precision when trapping effort amounts to 250-300 camera days. Density estimates using Rowcliffe et al.'s (2008) gas model conversion are higher than from transect censuses; we discuss the possible reasons and stress the need for more field tests. 4. Synthesis and applications. Subject to rigorous and periodic calibration, and standardization of sampling procedures in time and over different sites, camera trapping rate is shown to be, in this study, a valid index of density in the target species. Comparative data indicate that this may also apply to forest ungulates in general. The method has great potential for standardizing monitoring programmes and reducing the costs of wildlife surveys, especially in remote areas. |
doi_str_mv | 10.1111/j.1365-2664.2009.01705.x |
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Calibrating indices of animal abundance to true densities is critical in wildlife studies especially when direct density estimations are precluded by high costs, lack of required data or model parameters, elusiveness and rarity of target species. For studies deploying camera traps, the use of photographic rate (photographs per sampling time) as an index of abundance potentially applies to the majority of terrestrial mammals where individual recognition, and hence capture—recapture analysis, are unfeasible. The very few studies addressing this method have either been limited by lack of independence between trapping rates and density estimations, or because they combined different species, thus introducing potential bias in camera trap detection rates. This study uses a single model species from several sites to analyse calibration of trapping rates to independently derived estimations of density. The study also makes the first field test of the method by Rowcliffe et al. (2008) for density derivation from camera trapping rates based on modelling animal-camera contacts. 2. We deployed camera traps along line transects at six sites in the Udzungwa Mountains of Tanzania and correlated trapping rates of Harvey's duiker Cephalophus harveyi with densities estimated from counts made along the same transects. 3. We found a strong, linear relationship (R² = 0·90) between trapping rate and density. Sampling precision analysis indicates that camera trapping rates reach satisfactory precision when trapping effort amounts to 250-300 camera days. Density estimates using Rowcliffe et al.'s (2008) gas model conversion are higher than from transect censuses; we discuss the possible reasons and stress the need for more field tests. 4. Synthesis and applications. Subject to rigorous and periodic calibration, and standardization of sampling procedures in time and over different sites, camera trapping rate is shown to be, in this study, a valid index of density in the target species. Comparative data indicate that this may also apply to forest ungulates in general. The method has great potential for standardizing monitoring programmes and reducing the costs of wildlife surveys, especially in remote areas.</description><identifier>ISSN: 0021-8901</identifier><identifier>EISSN: 1365-2664</identifier><identifier>DOI: 10.1111/j.1365-2664.2009.01705.x</identifier><identifier>CODEN: JAPEAI</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing</publisher><subject>abundance estimation ; Animal populations ; Animal traps ; Animal, plant and microbial ecology ; Animals ; Applied ecology ; Biological and medical sciences ; Calibration ; camera traps ; Cameras ; Cephalophus ; Density estimation ; duikers ; Eastern Arc ; Forest ecology ; Forestry ; Fundamental and applied biological sciences. Psychology ; General aspects ; General forest ecology ; Generalities. Production, biomass. Quality of wood and forest products. General forest ecology ; index surveys ; Mammals ; Monitoring and Management ; Mountain forests ; Precision ; Species ; Studies ; trap rate ; Udzungwa ; Wildlife conservation</subject><ispartof>The Journal of applied ecology, 2009-10, Vol.46 (5), p.1011-1017</ispartof><rights>Copyright 2009 British Ecological Society</rights><rights>2009 The Authors. Journal compilation © 2009 British Ecological Society</rights><rights>2009 INIST-CNRS</rights><rights>Copyright Blackwell Publishing Ltd. Oct 2009</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5395-2bdacc681adeabbe76568fef77225d63b23d34432ea726a9add863a8f0dd4d393</citedby><cites>FETCH-LOGICAL-c5395-2bdacc681adeabbe76568fef77225d63b23d34432ea726a9add863a8f0dd4d393</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/25623081$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/25623081$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,780,784,27922,27923,58236,58469</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=22013878$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Rovero, Francesco</creatorcontrib><creatorcontrib>Marshall, Andrew R.</creatorcontrib><title>Camera Trapping Photographic Rate as an Index of Density in Forest Ungulates</title><title>The Journal of applied ecology</title><description>1. Calibrating indices of animal abundance to true densities is critical in wildlife studies especially when direct density estimations are precluded by high costs, lack of required data or model parameters, elusiveness and rarity of target species. For studies deploying camera traps, the use of photographic rate (photographs per sampling time) as an index of abundance potentially applies to the majority of terrestrial mammals where individual recognition, and hence capture—recapture analysis, are unfeasible. The very few studies addressing this method have either been limited by lack of independence between trapping rates and density estimations, or because they combined different species, thus introducing potential bias in camera trap detection rates. This study uses a single model species from several sites to analyse calibration of trapping rates to independently derived estimations of density. The study also makes the first field test of the method by Rowcliffe et al. (2008) for density derivation from camera trapping rates based on modelling animal-camera contacts. 2. We deployed camera traps along line transects at six sites in the Udzungwa Mountains of Tanzania and correlated trapping rates of Harvey's duiker Cephalophus harveyi with densities estimated from counts made along the same transects. 3. We found a strong, linear relationship (R² = 0·90) between trapping rate and density. Sampling precision analysis indicates that camera trapping rates reach satisfactory precision when trapping effort amounts to 250-300 camera days. Density estimates using Rowcliffe et al.'s (2008) gas model conversion are higher than from transect censuses; we discuss the possible reasons and stress the need for more field tests. 4. Synthesis and applications. Subject to rigorous and periodic calibration, and standardization of sampling procedures in time and over different sites, camera trapping rate is shown to be, in this study, a valid index of density in the target species. Comparative data indicate that this may also apply to forest ungulates in general. The method has great potential for standardizing monitoring programmes and reducing the costs of wildlife surveys, especially in remote areas.</description><subject>abundance estimation</subject><subject>Animal populations</subject><subject>Animal traps</subject><subject>Animal, plant and microbial ecology</subject><subject>Animals</subject><subject>Applied ecology</subject><subject>Biological and medical sciences</subject><subject>Calibration</subject><subject>camera traps</subject><subject>Cameras</subject><subject>Cephalophus</subject><subject>Density estimation</subject><subject>duikers</subject><subject>Eastern Arc</subject><subject>Forest ecology</subject><subject>Forestry</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General aspects</subject><subject>General forest ecology</subject><subject>Generalities. Production, biomass. Quality of wood and forest products. General forest ecology</subject><subject>index surveys</subject><subject>Mammals</subject><subject>Monitoring and Management</subject><subject>Mountain forests</subject><subject>Precision</subject><subject>Species</subject><subject>Studies</subject><subject>trap rate</subject><subject>Udzungwa</subject><subject>Wildlife conservation</subject><issn>0021-8901</issn><issn>1365-2664</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><recordid>eNqNkFFr2zAUhcVYYVm7nzAQhe4tnqRryfJDH0babh2BltE-ixtLTm0cKZUclvz7yUvpYE_Vy5W43zk6HEIoZwXP52tfcFByLpQqC8FYXTBeMVns35HZ6-I9mTEm-FzXjH8gH1PqWSYlwIwsF7hxEelDxO2282t6_xTGsM6vp66hv3B0FBNFT2-9dXsaWnrlfOrGA-08vQnRpZE--vVuyGQ6IyctDsl9epmn5PHm-mHxY768-367-LacNxLqHGllsWmU5mgdrlauUlLp1rVVJYS0ClYCLJQlCIeVUFijtVoB6pZZW1qo4ZR8OfpuY3je5Qhm06XGDQN6F3bJCM4Vh1Jl8Pw_sA-76HM2IwBKLiXoDOkj1MSQUnSt2cZug_FgODNTx6Y3U5VmqtJMHZu_HZt9ll68-GNqcGgj-qZLr3ohGAddTV9cHrnf3eAOb_Y3P--vp1vWfz7q-zSG-M9fKgFMc_gDAluX-A</recordid><startdate>200910</startdate><enddate>200910</enddate><creator>Rovero, Francesco</creator><creator>Marshall, Andrew R.</creator><general>Blackwell Publishing</general><general>Blackwell Publishing Ltd</general><general>Blackwell</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>7SS</scope><scope>7T7</scope><scope>7U7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>M7N</scope><scope>P64</scope><scope>RC3</scope></search><sort><creationdate>200910</creationdate><title>Camera Trapping Photographic Rate as an Index of Density in Forest Ungulates</title><author>Rovero, Francesco ; Marshall, Andrew R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5395-2bdacc681adeabbe76568fef77225d63b23d34432ea726a9add863a8f0dd4d393</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>abundance estimation</topic><topic>Animal populations</topic><topic>Animal traps</topic><topic>Animal, plant and microbial ecology</topic><topic>Animals</topic><topic>Applied ecology</topic><topic>Biological and medical sciences</topic><topic>Calibration</topic><topic>camera traps</topic><topic>Cameras</topic><topic>Cephalophus</topic><topic>Density estimation</topic><topic>duikers</topic><topic>Eastern Arc</topic><topic>Forest ecology</topic><topic>Forestry</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>General aspects</topic><topic>General forest ecology</topic><topic>Generalities. Production, biomass. Quality of wood and forest products. General forest ecology</topic><topic>index surveys</topic><topic>Mammals</topic><topic>Monitoring and Management</topic><topic>Mountain forests</topic><topic>Precision</topic><topic>Species</topic><topic>Studies</topic><topic>trap rate</topic><topic>Udzungwa</topic><topic>Wildlife conservation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rovero, Francesco</creatorcontrib><creatorcontrib>Marshall, Andrew R.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Toxicology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><jtitle>The Journal of applied ecology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rovero, Francesco</au><au>Marshall, Andrew R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Camera Trapping Photographic Rate as an Index of Density in Forest Ungulates</atitle><jtitle>The Journal of applied ecology</jtitle><date>2009-10</date><risdate>2009</risdate><volume>46</volume><issue>5</issue><spage>1011</spage><epage>1017</epage><pages>1011-1017</pages><issn>0021-8901</issn><eissn>1365-2664</eissn><coden>JAPEAI</coden><abstract>1. Calibrating indices of animal abundance to true densities is critical in wildlife studies especially when direct density estimations are precluded by high costs, lack of required data or model parameters, elusiveness and rarity of target species. For studies deploying camera traps, the use of photographic rate (photographs per sampling time) as an index of abundance potentially applies to the majority of terrestrial mammals where individual recognition, and hence capture—recapture analysis, are unfeasible. The very few studies addressing this method have either been limited by lack of independence between trapping rates and density estimations, or because they combined different species, thus introducing potential bias in camera trap detection rates. This study uses a single model species from several sites to analyse calibration of trapping rates to independently derived estimations of density. The study also makes the first field test of the method by Rowcliffe et al. (2008) for density derivation from camera trapping rates based on modelling animal-camera contacts. 2. We deployed camera traps along line transects at six sites in the Udzungwa Mountains of Tanzania and correlated trapping rates of Harvey's duiker Cephalophus harveyi with densities estimated from counts made along the same transects. 3. We found a strong, linear relationship (R² = 0·90) between trapping rate and density. Sampling precision analysis indicates that camera trapping rates reach satisfactory precision when trapping effort amounts to 250-300 camera days. Density estimates using Rowcliffe et al.'s (2008) gas model conversion are higher than from transect censuses; we discuss the possible reasons and stress the need for more field tests. 4. Synthesis and applications. Subject to rigorous and periodic calibration, and standardization of sampling procedures in time and over different sites, camera trapping rate is shown to be, in this study, a valid index of density in the target species. Comparative data indicate that this may also apply to forest ungulates in general. The method has great potential for standardizing monitoring programmes and reducing the costs of wildlife surveys, especially in remote areas.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing</pub><doi>10.1111/j.1365-2664.2009.01705.x</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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subjects | abundance estimation Animal populations Animal traps Animal, plant and microbial ecology Animals Applied ecology Biological and medical sciences Calibration camera traps Cameras Cephalophus Density estimation duikers Eastern Arc Forest ecology Forestry Fundamental and applied biological sciences. Psychology General aspects General forest ecology Generalities. Production, biomass. Quality of wood and forest products. General forest ecology index surveys Mammals Monitoring and Management Mountain forests Precision Species Studies trap rate Udzungwa Wildlife conservation |
title | Camera Trapping Photographic Rate as an Index of Density in Forest Ungulates |
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