Variation in herpetofauna detection probabilities: implications for study design
Population monitoring is fundamental for informing management decisions aimed at reducing the rapid rate of global biodiversity decline. Herpetofauna are experiencing declines worldwide and include species that are challenging to monitor. Raw counts and associated metrics such as richness indices ar...
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description | Population monitoring is fundamental for informing management decisions aimed at reducing the rapid rate of global biodiversity decline. Herpetofauna are experiencing declines worldwide and include species that are challenging to monitor. Raw counts and associated metrics such as richness indices are common for monitoring populations of herpetofauna; however, these methods are susceptible to bias as they fail to account for varying detection probabilities. Our goal was to develop a program for efficiently monitoring herpetofauna in southern Texas. Our objectives were to (1) estimate detection probabilities in an occupancy modeling framework using trap arrays for a diverse group of herpetofauna and (2) to evaluate the relative effectiveness of funnel traps, pitfall traps, and cover boards. We collected data with 36 arrays at 2 study sites in 2015 and 2016, for 2105 array-days resulting in 4839 detections of 51 species. We modeled occupancy for 21 species and found support for the hypothesis that detection probability varied over our sampling duration for 10 species and with rainfall for 10 species. For herpetofauna in our study, we found 14 and 12 species were most efficiently captured with funnel traps and pitfall traps, respectively, and no species were most efficiently captured with cover boards. Our results show that using methods that do not account for variations in detection probability are highly subject to bias unless the likelihood of false absences is minimized with exceptionally long capture durations. For monitoring herpetofauna in southern Texas, we recommend using arrays with funnel and pitfall traps and an analytical method such as occupancy modeling that accounts for variation in detection. |
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Herpetofauna are experiencing declines worldwide and include species that are challenging to monitor. Raw counts and associated metrics such as richness indices are common for monitoring populations of herpetofauna; however, these methods are susceptible to bias as they fail to account for varying detection probabilities. Our goal was to develop a program for efficiently monitoring herpetofauna in southern Texas. Our objectives were to (1) estimate detection probabilities in an occupancy modeling framework using trap arrays for a diverse group of herpetofauna and (2) to evaluate the relative effectiveness of funnel traps, pitfall traps, and cover boards. We collected data with 36 arrays at 2 study sites in 2015 and 2016, for 2105 array-days resulting in 4839 detections of 51 species. We modeled occupancy for 21 species and found support for the hypothesis that detection probability varied over our sampling duration for 10 species and with rainfall for 10 species. For herpetofauna in our study, we found 14 and 12 species were most efficiently captured with funnel traps and pitfall traps, respectively, and no species were most efficiently captured with cover boards. Our results show that using methods that do not account for variations in detection probability are highly subject to bias unless the likelihood of false absences is minimized with exceptionally long capture durations. For monitoring herpetofauna in southern Texas, we recommend using arrays with funnel and pitfall traps and an analytical method such as occupancy modeling that accounts for variation in detection.</description><identifier>ISSN: 0167-6369</identifier><identifier>EISSN: 1573-2959</identifier><identifier>DOI: 10.1007/s10661-021-09424-0</identifier><identifier>PMID: 34533627</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Amphibians ; Analytical methods ; Animals ; Arrays ; Atmospheric Protection/Air Quality Control/Air Pollution ; Bias ; Biodiversity ; Biological surveys ; Conservation of Natural Resources ; Detection ; Earth and Environmental Science ; Ecology ; Ecotoxicology ; Environment ; Environmental Management ; Environmental Monitoring ; Environmental science ; Herpetofauna ; Modelling ; Monitoring ; Monitoring/Environmental Analysis ; Occupancy ; Pitfall traps ; Population decline ; Population studies ; Probability ; Probability theory ; Rain ; Rainfall ; Samplers ; Small mammals ; Species ; Variation</subject><ispartof>Environmental monitoring and assessment, 2021-10, Vol.193 (10), p.658-658, Article 658</ispartof><rights>The Author(s) 2021</rights><rights>2021. 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Herpetofauna are experiencing declines worldwide and include species that are challenging to monitor. Raw counts and associated metrics such as richness indices are common for monitoring populations of herpetofauna; however, these methods are susceptible to bias as they fail to account for varying detection probabilities. Our goal was to develop a program for efficiently monitoring herpetofauna in southern Texas. Our objectives were to (1) estimate detection probabilities in an occupancy modeling framework using trap arrays for a diverse group of herpetofauna and (2) to evaluate the relative effectiveness of funnel traps, pitfall traps, and cover boards. We collected data with 36 arrays at 2 study sites in 2015 and 2016, for 2105 array-days resulting in 4839 detections of 51 species. We modeled occupancy for 21 species and found support for the hypothesis that detection probability varied over our sampling duration for 10 species and with rainfall for 10 species. For herpetofauna in our study, we found 14 and 12 species were most efficiently captured with funnel traps and pitfall traps, respectively, and no species were most efficiently captured with cover boards. Our results show that using methods that do not account for variations in detection probability are highly subject to bias unless the likelihood of false absences is minimized with exceptionally long capture durations. For monitoring herpetofauna in southern Texas, we recommend using arrays with funnel and pitfall traps and an analytical method such as occupancy modeling that accounts for variation in detection.</description><subject>Amphibians</subject><subject>Analytical methods</subject><subject>Animals</subject><subject>Arrays</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Bias</subject><subject>Biodiversity</subject><subject>Biological surveys</subject><subject>Conservation of Natural Resources</subject><subject>Detection</subject><subject>Earth and Environmental Science</subject><subject>Ecology</subject><subject>Ecotoxicology</subject><subject>Environment</subject><subject>Environmental Management</subject><subject>Environmental Monitoring</subject><subject>Environmental science</subject><subject>Herpetofauna</subject><subject>Modelling</subject><subject>Monitoring</subject><subject>Monitoring/Environmental 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For herpetofauna in our study, we found 14 and 12 species were most efficiently captured with funnel traps and pitfall traps, respectively, and no species were most efficiently captured with cover boards. Our results show that using methods that do not account for variations in detection probability are highly subject to bias unless the likelihood of false absences is minimized with exceptionally long capture durations. For monitoring herpetofauna in southern Texas, we recommend using arrays with funnel and pitfall traps and an analytical method such as occupancy modeling that accounts for variation in detection.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>34533627</pmid><doi>10.1007/s10661-021-09424-0</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0003-2779-6822</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Amphibians Analytical methods Animals Arrays Atmospheric Protection/Air Quality Control/Air Pollution Bias Biodiversity Biological surveys Conservation of Natural Resources Detection Earth and Environmental Science Ecology Ecotoxicology Environment Environmental Management Environmental Monitoring Environmental science Herpetofauna Modelling Monitoring Monitoring/Environmental Analysis Occupancy Pitfall traps Population decline Population studies Probability Probability theory Rain Rainfall Samplers Small mammals Species Variation |
title | Variation in herpetofauna detection probabilities: implications for study design |
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