Deciphering the rarity–detectability continuum: optimizing survey design for terrestrial mammalian community

Abstract Wildlife monitoring is of fundamental importance to establish baseline information, measure population changes, and extinction risk. Motion‐triggered camera traps are an increasingly popular tool for monitoring terrestrial species over large landscapes. Over the years, occupancy has become...

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Main Authors: Nilanjan Chatterjee, Stephanie G. Schuttler, Parag Nigam, Bilal Habib
Format: Article
Language:English
Published: Wiley 2021-09-01
Series:Ecosphere
Subjects:
Online Access:https://doi.org/10.1002/ecs2.3748
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spelling doaj-29b1954263b445878050d086c6017cea2021-09-28T23:34:39ZengWileyEcosphere2150-89252021-09-01129n/an/a10.1002/ecs2.3748Deciphering the rarity–detectability continuum: optimizing survey design for terrestrial mammalian communityNilanjan Chatterjee0Stephanie G. Schuttler1Parag Nigam2Bilal Habib3Department of Animal Ecology and Conservation Biology Wildlife Institute of India Chandrabani Dehradun 248001 IndiaNorth Carolina Museum of Natural Sciences Raleigh North Carolina 27601 USADepartment of Animal Ecology and Conservation Biology Wildlife Institute of India Chandrabani Dehradun 248001 IndiaDepartment of Animal Ecology and Conservation Biology Wildlife Institute of India Chandrabani Dehradun 248001 IndiaAbstract Wildlife monitoring is of fundamental importance to establish baseline information, measure population changes, and extinction risk. Motion‐triggered camera traps are an increasingly popular tool for monitoring terrestrial species over large landscapes. Over the years, occupancy has become a robust and unbiased state variable to monitor species worldwide. However, the optimal sampling design required for robust estimations of occupancy is lacking for many species. Here, we estimated the optimum sampling design by varying the number of sites (50–400) and sampling days (10–25) for a range of mammal species using camera‐trap survey data from central India. We used power analysis and mean‐squared error and evaluated the hypothesis of how various species‐specific traits influence occupancy and detectability of the species. We found that mean‐squared error changed significantly with the number of sampling sites for rare species, whereas for species with moderate and high detection probability, the mean‐squared error changed significantly with the number of sampling occasions. Power increased with an increase in the number of sampling sites and occasions for all species, although the change was not significant for species with higher occupancies or detection probabilities. We found that body size was positively related to occupancy but did not influence detection probability significantly. No relationship was detected with social status or diet on occupancy or detection probability. Our results suggest a minimum of 50 sites for 15–20 d for common species and 100 sites for 20–30 d for rare, elusive species. Our results provide guidelines to managers and practitioners for effective allocation of cost and sampling effort for a wide variety of terrestrial mammals in camera‐trap surveys.https://doi.org/10.1002/ecs2.3748camera trapCentral Indiadetection probabilitymammal communityoccupancy modelingpower analysis
collection DOAJ
language English
format Article
sources DOAJ
author Nilanjan Chatterjee
Stephanie G. Schuttler
Parag Nigam
Bilal Habib
spellingShingle Nilanjan Chatterjee
Stephanie G. Schuttler
Parag Nigam
Bilal Habib
Deciphering the rarity–detectability continuum: optimizing survey design for terrestrial mammalian community
Ecosphere
camera trap
Central India
detection probability
mammal community
occupancy modeling
power analysis
author_facet Nilanjan Chatterjee
Stephanie G. Schuttler
Parag Nigam
Bilal Habib
author_sort Nilanjan Chatterjee
title Deciphering the rarity–detectability continuum: optimizing survey design for terrestrial mammalian community
title_short Deciphering the rarity–detectability continuum: optimizing survey design for terrestrial mammalian community
title_full Deciphering the rarity–detectability continuum: optimizing survey design for terrestrial mammalian community
title_fullStr Deciphering the rarity–detectability continuum: optimizing survey design for terrestrial mammalian community
title_full_unstemmed Deciphering the rarity–detectability continuum: optimizing survey design for terrestrial mammalian community
title_sort deciphering the rarity–detectability continuum: optimizing survey design for terrestrial mammalian community
publisher Wiley
series Ecosphere
issn 2150-8925
publishDate 2021-09-01
description Abstract Wildlife monitoring is of fundamental importance to establish baseline information, measure population changes, and extinction risk. Motion‐triggered camera traps are an increasingly popular tool for monitoring terrestrial species over large landscapes. Over the years, occupancy has become a robust and unbiased state variable to monitor species worldwide. However, the optimal sampling design required for robust estimations of occupancy is lacking for many species. Here, we estimated the optimum sampling design by varying the number of sites (50–400) and sampling days (10–25) for a range of mammal species using camera‐trap survey data from central India. We used power analysis and mean‐squared error and evaluated the hypothesis of how various species‐specific traits influence occupancy and detectability of the species. We found that mean‐squared error changed significantly with the number of sampling sites for rare species, whereas for species with moderate and high detection probability, the mean‐squared error changed significantly with the number of sampling occasions. Power increased with an increase in the number of sampling sites and occasions for all species, although the change was not significant for species with higher occupancies or detection probabilities. We found that body size was positively related to occupancy but did not influence detection probability significantly. No relationship was detected with social status or diet on occupancy or detection probability. Our results suggest a minimum of 50 sites for 15–20 d for common species and 100 sites for 20–30 d for rare, elusive species. Our results provide guidelines to managers and practitioners for effective allocation of cost and sampling effort for a wide variety of terrestrial mammals in camera‐trap surveys.
topic camera trap
Central India
detection probability
mammal community
occupancy modeling
power analysis
url https://doi.org/10.1002/ecs2.3748
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AT paragnigam decipheringtheraritydetectabilitycontinuumoptimizingsurveydesignforterrestrialmammaliancommunity
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