Estimating Key Largo woodrat abundance using spatially explicit capture–recapture and trapping point transects

ABSTRACT The Key Largo woodrat (Neotoma floridana smalli) is an endangered rodent with a restricted geographic range and small population size. Establishing an efficient monitoring program of its abundance has been problematic; previous trapping designs have not worked well because the species is sp...

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Main Authors: Joanne M. Potts, Stephen T. Buckland, Len Thomas, Anne Savage
Format: Article
Language:English
Published: Wiley 2016-06-01
Series:Wildlife Society Bulletin
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Online Access:https://doi.org/10.1002/wsb.651
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author Joanne M. Potts
Stephen T. Buckland
Len Thomas
Anne Savage
author_facet Joanne M. Potts
Stephen T. Buckland
Len Thomas
Anne Savage
author_sort Joanne M. Potts
collection DOAJ
description ABSTRACT The Key Largo woodrat (Neotoma floridana smalli) is an endangered rodent with a restricted geographic range and small population size. Establishing an efficient monitoring program of its abundance has been problematic; previous trapping designs have not worked well because the species is sparsely distributed. We compared Key Largo woodrat abundance estimates in Key Largo, Florida, USA, obtained using trapping point transects (TPT) and spatially explicit capture–recapture (SECR) based on statistical properties, survey effort, practicality, and cost. Both methods combine aspects of distance sampling with capture–recapture, but TPT relies on radiotracking individuals to estimate detectability and SECR relies on repeat capture information to estimate densities of home ranges. Abundance estimates using TPT in the spring of 2007 and 2008 were 333 woodrats (CV = 0.46) and 696 (CV = 0.43), respectively. Abundance estimates using SECR in the spring, summer, and winter of 2007 were 97 (CV = 0.31), 334 (CV = 0.26), and 433 (CV = 0.20) animals, respectively. Trapping point transects used approximately 960 person‐hours and 1,010 trap‐nights/season. Spatially explicit capture–recapture used approximately 500 person‐hours and 6,468 trap‐nights/season. Significant time was saved in the SECR survey by setting large numbers of traps close together, minimizing time walking between traps. Trapping point transects were practical to implement in the field, and valuable auxiliary information on Key Largo woodrat behavior was obtained via radiocollaring. In this particular study, detectability of the woodrat using TPT was very low and consequently the SECR method was more efficient. Both methods require a substantial investment in survey effort to detect any change in abundance because of large uncertainty in estimates. © 2016 The Wildlife Society.
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spelling doaj-art-39a7a948f0ca41eb935f198c44db49332024-12-16T12:40:53ZengWileyWildlife Society Bulletin2328-55402016-06-0140233133810.1002/wsb.651Estimating Key Largo woodrat abundance using spatially explicit capture–recapture and trapping point transectsJoanne M. Potts0Stephen T. Buckland1Len Thomas2Anne Savage3The Centre for Research into Ecological and Environmental ModellingThe University of St AndrewsSt AndrewsKY16 9LZScotlandThe Centre for Research into Ecological and Environmental ModellingThe University of St AndrewsSt AndrewsKY16 9LZScotlandThe Centre for Research into Ecological and Environmental ModellingThe University of St AndrewsSt AndrewsKY16 9LZScotlandEducation and Science DepartmentDisney's Animal Kingdom®Lake Buena VistaFL32830USAABSTRACT The Key Largo woodrat (Neotoma floridana smalli) is an endangered rodent with a restricted geographic range and small population size. Establishing an efficient monitoring program of its abundance has been problematic; previous trapping designs have not worked well because the species is sparsely distributed. We compared Key Largo woodrat abundance estimates in Key Largo, Florida, USA, obtained using trapping point transects (TPT) and spatially explicit capture–recapture (SECR) based on statistical properties, survey effort, practicality, and cost. Both methods combine aspects of distance sampling with capture–recapture, but TPT relies on radiotracking individuals to estimate detectability and SECR relies on repeat capture information to estimate densities of home ranges. Abundance estimates using TPT in the spring of 2007 and 2008 were 333 woodrats (CV = 0.46) and 696 (CV = 0.43), respectively. Abundance estimates using SECR in the spring, summer, and winter of 2007 were 97 (CV = 0.31), 334 (CV = 0.26), and 433 (CV = 0.20) animals, respectively. Trapping point transects used approximately 960 person‐hours and 1,010 trap‐nights/season. Spatially explicit capture–recapture used approximately 500 person‐hours and 6,468 trap‐nights/season. Significant time was saved in the SECR survey by setting large numbers of traps close together, minimizing time walking between traps. Trapping point transects were practical to implement in the field, and valuable auxiliary information on Key Largo woodrat behavior was obtained via radiocollaring. In this particular study, detectability of the woodrat using TPT was very low and consequently the SECR method was more efficient. Both methods require a substantial investment in survey effort to detect any change in abundance because of large uncertainty in estimates. © 2016 The Wildlife Society.https://doi.org/10.1002/wsb.651abundancedistance samplingKey Largo woodratNeotoma floridana smallismall mammalsspatially explicit capture–recapture
spellingShingle Joanne M. Potts
Stephen T. Buckland
Len Thomas
Anne Savage
Estimating Key Largo woodrat abundance using spatially explicit capture–recapture and trapping point transects
Wildlife Society Bulletin
abundance
distance sampling
Key Largo woodrat
Neotoma floridana smalli
small mammals
spatially explicit capture–recapture
title Estimating Key Largo woodrat abundance using spatially explicit capture–recapture and trapping point transects
title_full Estimating Key Largo woodrat abundance using spatially explicit capture–recapture and trapping point transects
title_fullStr Estimating Key Largo woodrat abundance using spatially explicit capture–recapture and trapping point transects
title_full_unstemmed Estimating Key Largo woodrat abundance using spatially explicit capture–recapture and trapping point transects
title_short Estimating Key Largo woodrat abundance using spatially explicit capture–recapture and trapping point transects
title_sort estimating key largo woodrat abundance using spatially explicit capture recapture and trapping point transects
topic abundance
distance sampling
Key Largo woodrat
Neotoma floridana smalli
small mammals
spatially explicit capture–recapture
url https://doi.org/10.1002/wsb.651
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AT lenthomas estimatingkeylargowoodratabundanceusingspatiallyexplicitcapturerecaptureandtrappingpointtransects
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