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Photographic Capture-Recapture Sampling for Assessing Populations of the Indian Gliding Lizard Draco dussumieri

Overview of attention for article published in PLOS ONE, February 2013
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Title
Photographic Capture-Recapture Sampling for Assessing Populations of the Indian Gliding Lizard Draco dussumieri
Published in
PLOS ONE, February 2013
DOI 10.1371/journal.pone.0055935
Pubmed ID
Authors

Rachakonda Sreekar, Chetana B. Purushotham, Katya Saini, Shyam N. Rao, Simon Pelletier, Saniya Chaplod

Abstract

The usage of invasive tagging methods to assess lizard populations has often been criticised, due to the potential negative effects of marking, which possibly cause increased mortality or altered behaviour. The development of safe, less invasive techniques is essential for improved ecological study and conservation of lizard populations. In this study, we describe a photographic capture-recapture (CR) technique for estimating Draco dussumieri (Agamidae) populations. We used photographs of the ventral surface of the patagium to identify individuals. To establish that the naturally occurring blotches remained constant through time, we compared capture and recapture photographs of 45 pen-marked individuals after a 30 day interval. No changes in blotches were observed and individual lizards could be identified with 100% accuracy. The population density of D. dussumieri in a two hectare areca-nut plantation was estimated using the CR technique with ten sampling occasions over a ten day period. The resulting recapture histories for 24 individuals were analysed using population models in the program CAPTURE. All models indicated that nearly all individuals were captured. The estimated probability for capturing D. dussumieri on at least one occasion was 0.92 and the estimated population density was 13±1.65 lizards/ha. Our results demonstrate the potential for applying CR to population studies in gliding lizards (Draco spp.) and other species with distinctive markings.

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Geographical breakdown

Country Count As %
India 2 2%
Brazil 2 2%
United States 1 1%
United Kingdom 1 1%
Unknown 89 94%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 17 18%
Student > Master 15 16%
Student > Ph. D. Student 12 13%
Researcher 10 11%
Student > Doctoral Student 7 7%
Other 21 22%
Unknown 13 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 55 58%
Environmental Science 13 14%
Biochemistry, Genetics and Molecular Biology 3 3%
Veterinary Science and Veterinary Medicine 1 1%
Mathematics 1 1%
Other 3 3%
Unknown 19 20%