2013
DOI: 10.1002/wsb.322
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Mobile application for wildlife capture-mark-recapture data collection and query

Abstract: Capture-mark-recapture (CMR) approaches are often used in the management and conservation of wildlife species and effective approaches to estimate populations rely on accurate datacollection techniques. Unfortunately, sampling errors can arise at several steps in the CMR process. We designed and applied a mobile application (app) for field-collected data from a CMR study on herpetofauna. Entering data into a digital format in the field using the mobile application eliminated timely steps to process handwritten… Show more

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Cited by 7 publications
(5 citation statements)
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References 15 publications
(17 reference statements)
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“…We classified reptiles to species and assigned unique marks as in Waichman () to identify individuals. To reduce data‐entry errors, we recorded data using a mobile application designed by Bateman et al () for capture‐mark‐recapture studies.…”
Section: Methodsmentioning
confidence: 99%
“…We classified reptiles to species and assigned unique marks as in Waichman () to identify individuals. To reduce data‐entry errors, we recorded data using a mobile application designed by Bateman et al () for capture‐mark‐recapture studies.…”
Section: Methodsmentioning
confidence: 99%
“…Several mobile applications are utilised to monitor animal trap by embedded sensor 6,7 , analyse the images of pests on glue board 8 and monitor the capture-mark-recapture process 9 .…”
Section: Introductionmentioning
confidence: 99%
“…Several mobile applications are utilised to monitor animal trap by embedded sensor 6,7 , analyse the images of pests on glue board 8 and monitor the capture-mark-recapture process 9 . The US Centers for Disease Control and Prevention (CDC) developed a mobile app named “Epi Info Vector Surveillance Application” to track and enter mosquito surveillance data and insecticide resistance bioassay testing 10 .…”
Section: Introductionmentioning
confidence: 99%
“…Several mobile applications have been utilised to monitor animal trap by embedded sensor (Loughlin, 2013;Eiran & Earle, 2017), analyse the images of pests on glue board (Freudenberg et al, 2019) and monitor the capturemark-recapture process (Bateman et al, 2013). The US Centers for Disease Control and Prevention (CDC) developed a mobile app named "Epi Info Vector Surveillance Application" to track and enter mosquito surveillance data and insecticide resistance bioassay testing (Global Health, 2017).…”
Section: Introductionmentioning
confidence: 99%