Shot the spots: A reliable field method for individual identification of Amolops formosus (Anura, Ranidae)

Natural body patterns in amphibians are widely used for individual recognition. In this study, we photographed individuals of Amolops formosus for four days of sampling without handling them. We processed 301 photographs of dorsal blotch pattern in HotSpotter software and verified th...

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Main Authors: Naitik G. Patel, Abhijit Das
Format: Article
Language:English
Published: Pensoft Publishers 2020-03-01
Series:Herpetozoa
Online Access:https://herpetozoa.pensoft.net/article/47279/download/pdf/
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spelling doaj-c84e479baea44cfa8bbe66e49308b6942020-11-24T21:46:40ZengPensoft PublishersHerpetozoa2682-955X2020-03-013371510.3897/herpetozoa.33.e4727947279Shot the spots: A reliable field method for individual identification of Amolops formosus (Anura, Ranidae)Naitik G. Patel0Abhijit Das1Wildlife Institute of IndiaWildlife Institute of India Natural body patterns in amphibians are widely used for individual recognition. In this study, we photographed individuals of Amolops formosus for four days of sampling without handling them. We processed 301 photographs of dorsal blotch pattern in HotSpotter software and verified them visually for confirmation. We identified 160 unique individuals of A. formosus based on the images taken in the field, resulting in an abundance estimate of 180 individuals. The success rate in identifying individuals of A. formosus using the HotSpotter software was 94.3%. We tested the effect of image quality and distance on recognition efficiency. Poor image quality reduced the recognition efficiency of the software but with a careful user review it was possible to identify the individual. The difference between using only the software and software plus human confirmation was very small. This protocol is useful for rapid population estimation of frogs with natural body patterns. https://herpetozoa.pensoft.net/article/47279/download/pdf/
collection DOAJ
language English
format Article
sources DOAJ
author Naitik G. Patel
Abhijit Das
spellingShingle Naitik G. Patel
Abhijit Das
Shot the spots: A reliable field method for individual identification of Amolops formosus (Anura, Ranidae)
Herpetozoa
author_facet Naitik G. Patel
Abhijit Das
author_sort Naitik G. Patel
title Shot the spots: A reliable field method for individual identification of Amolops formosus (Anura, Ranidae)
title_short Shot the spots: A reliable field method for individual identification of Amolops formosus (Anura, Ranidae)
title_full Shot the spots: A reliable field method for individual identification of Amolops formosus (Anura, Ranidae)
title_fullStr Shot the spots: A reliable field method for individual identification of Amolops formosus (Anura, Ranidae)
title_full_unstemmed Shot the spots: A reliable field method for individual identification of Amolops formosus (Anura, Ranidae)
title_sort shot the spots: a reliable field method for individual identification of amolops formosus (anura, ranidae)
publisher Pensoft Publishers
series Herpetozoa
issn 2682-955X
publishDate 2020-03-01
description Natural body patterns in amphibians are widely used for individual recognition. In this study, we photographed individuals of Amolops formosus for four days of sampling without handling them. We processed 301 photographs of dorsal blotch pattern in HotSpotter software and verified them visually for confirmation. We identified 160 unique individuals of A. formosus based on the images taken in the field, resulting in an abundance estimate of 180 individuals. The success rate in identifying individuals of A. formosus using the HotSpotter software was 94.3%. We tested the effect of image quality and distance on recognition efficiency. Poor image quality reduced the recognition efficiency of the software but with a careful user review it was possible to identify the individual. The difference between using only the software and software plus human confirmation was very small. This protocol is useful for rapid population estimation of frogs with natural body patterns.
url https://herpetozoa.pensoft.net/article/47279/download/pdf/
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