التفاصيل البيبلوغرافية
| العنوان: |
Counting the unmarked: Estimating animal population using count data. |
| المؤلفون: |
Gubbi, Sanjay, Seshadri, Srikanth, Kumara, Vijaya, Chandra, K. Suresh |
| المصدر: |
Electronic Journal of Applied Statistical Analysis; 2019, Vol. 12 Issue 3, p604-618, 15p |
| مصطلحات موضوعية: |
ANIMAL population estimates, PREY availability, LEOPARD, PREDATORY animals, PREDATION, MOTION detectors, PARAMETERS (Statistics) |
| مستخلص: |
Understanding population parameters are important tools for wildlife man- agement, and one of the key objectives of ecological research. Motion sensor cameras are a widely used tool to estimate abundance and densities of species that are identifiable based on the natural markings on their bodies. Though camera trapping provides information such as count data, on species that are not individually identifiable, estimating population size using conven- tional capture-recapture methodologies is not possible hindering estimating population information of several wildlife species. However, recent method- ologies help use camera trapping data to bridge this gap. Here we extend the model of Chandler and Royle (2013), with suitable modifications, and used camera trap detection data to estimate abundance and density of eight wild prey, and five domestic prey species of leopards (Panthera pardus fusca). In this context, a new procedure has been proposed, based on grouping of the count data, which is useful in cases of large encounters. The current model should apply widely to a range of other unmarked wildlife species such as dholes, lions, golden jackal, Indian fox, ratel, to name a few, that could help understand prey-predator relationships, competition, trophic interactions, species interactions and other similar ecological ques- tions. The methodology could also reduce costs, and maximise the utilisa- tion of existing camera trapping data. The methodology helps understanding population parameters of several endangered, unmarked species to draw up conservation strategies whose estimates are currently largely based on edu- cational guess. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
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