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Seasonal population density and winter survival strategies of endangered Kashmir gray langur (Semnopithecus ajax) in Dachigam National Park, Kashmir, India
The population density of Kashmir gray langurs (Semnopithecus ajax) was studied in Dachigam National Park (DNP), Kashmir using distance sampling method. A total of 13 transects (1.5–2.5 km in length) were surveyed in the intensive study area (~90 km(2)) yielding 170 encounters in different seasons o...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4627992/ https://www.ncbi.nlm.nih.gov/pubmed/26543697 http://dx.doi.org/10.1186/s40064-015-1366-z |
Sumario: | The population density of Kashmir gray langurs (Semnopithecus ajax) was studied in Dachigam National Park (DNP), Kashmir using distance sampling method. A total of 13 transects (1.5–2.5 km in length) were surveyed in the intensive study area (~90 km(2)) yielding 170 encounters in different seasons of the study period (2011–2013). Some aspects of behavior and feeding were also studied during the winter months (Dec–Feb) of 2012 and 2013 inside DNP. We used instantaneous scan sampling to collect behavioral data determining the time budget and diet of langurs in winter conditions. Results suggested that the density of Kashmir gray langurs varied marginally across seasons, with the highest density recorded during winter and lowest during summer season. Langurs spent most of their time in carrying out various social activities (34.32 %) and least in resting (18.41 %). Langurs fed upon 13 plant species (belonging to 12 families) and consumed a substantial proportion of bark (37.4 %) in their diet. We conclude that langur density is low in DNP as compared to other plain areas of the Indian subcontinent and langurs in DNP have balanced their time budget and diet so as to increase their chances of survival in the unfavorably cold and food scarce winter conditions. |
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