Wildlife Population Monitoring 2019
DOI: 10.5772/intechopen.84365
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Wildlife Population Monitoring Study among Endangered Animals at Protected Areas in Nepal

Abstract: Nepal is a small country located in South Asia which is geographically highly diverse and fairly rich in its variety of endangered wild animals. Conservation and monitoring of endangered wildlife is great challenging task in developing country like Nepal. Different body parts of wild animals are used as raw material for making pharmaceutical products, cosmetic, and other purpose; hence their value increased in the international market, as a result poaching and trading activities of endangered wild animals has … Show more

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Cited by 2 publications
(3 citation statements)
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References 25 publications
(31 reference statements)
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“…Indicators on natural ecosystem processes, abiotic components, biotic components such as vegetation, birds, etc, and socio economic data were not captured. The indicators for wildlife monitoring identified in this study are similar to those monitored by other researchers in some parts of the World (Sadaula et. al., 2019;Fancy et.…”
Section: Discussionsupporting
confidence: 87%
See 1 more Smart Citation
“…Indicators on natural ecosystem processes, abiotic components, biotic components such as vegetation, birds, etc, and socio economic data were not captured. The indicators for wildlife monitoring identified in this study are similar to those monitored by other researchers in some parts of the World (Sadaula et. al., 2019;Fancy et.…”
Section: Discussionsupporting
confidence: 87%
“…al., 2009). In Nepal, population monitoring is being done for few wildlife species only although monitoring of other species is also important for making proper conservation plan and such studies provide strong recommendations to community persons, leaders, conservation NGO/INGO, and government bodies to prepare the future action plan strategies about the conservation and monitoring of flagship endangered wild animal species at protected areas (Sadaula et. al., 2019).…”
Section: Discussionmentioning
confidence: 99%
“…e CNN models are efficient modern recognition methods. Unlike the traditional image classification methods [5], a convolutional neural network uses multilayer convolution to automatically extract and combine features. ese algorithms are designed to be performed independently and are trained to solve specific tasks.…”
Section: Introductionmentioning
confidence: 99%