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首页> 外文期刊>Mammal study >Distribution, occupancy and activity patterns of goral (Nemorhaedus goral) and serow (Capricornis thar) in Khangchendzonga Biosphere Reserve, Sikkim, India
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Distribution, occupancy and activity patterns of goral (Nemorhaedus goral) and serow (Capricornis thar) in Khangchendzonga Biosphere Reserve, Sikkim, India

机译:印度锡金Khangchendzonga生物圈保护区中的Goral(Nemorhaedus goral)和serow(Capricornis thar)分布,居住和活动方式

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We assessed the distribution, occupancy, and activity patterns of two rupicaprids viz., Himalayan goral Nemorhaedus goral and Himalayan serow Capricornis thar in the western part of the Khangchendzonga Biosphere Reserve, Sikkim, using camera traps during 2009–2010. Goral had the highest photo-capture rate (# photo/100 days) of 6.37 ± 3.02 in temperate habitats (n = 169) followed by 1.82 ± 1.27 in subalpine habitats (n = 41). Serow had the highest photo-capture rate of 1.65 ± 0.88 in subalpine habitats (n = 53) followed by 0.58 ± 0.34 in temperate habitats (n = 19). The estimated detection probability was 0.57 for goral and 0.46 for serow. Detection probabilities were negatively related to human presence. Occupancy of goral (0.27) was slightly lesser than serow (0.30). Denser tree cover, warmer aspect and sites far away from tourist trails were the best predictors for the occupancy of goral. Denser tree cover, higher elevation and warmer aspect were the best predictors for the occupancy of serow. Spatial separation between these two species was not clear although different activity peaks were observed. To ensure the survival of these species, protection measures are required to keep their habitats free from anthropogenic activities.
机译:我们在2009–2010年期间使用相机诱捕器评估了锡金Khangchendzonga生物圈保护区西部的两个卢比牧羊(喜马拉雅山豚Nemorhaedus goral和喜马拉雅山雀row Capricornis thar)的分布,占用和活动模式。高拉尔(Goral)在温带栖息地(n = 169)中的最高照片捕获率(#photo / 100天)为6.37±3.02,其次是在亚高山栖息地(n = 41)中的1.82±1.27。在亚高山栖息地(n = 53)中,Serow的光捕获率最高,为1.65±0.88,其次在温带栖息地(n = 19)中为0.58±0.34。推定的目标检测概率为0.57,而对于serow则为0.46。检测概率与人类存在负相关。山羊(0.27)的占有率略低于serow(0.30)。丹瑟树的掩盖,温暖的环境和远离旅游路线的地点是预测果拉虫病占用的最佳预测指标。密度树覆盖度,较高的海拔高度和较暖的方面是预测serow占用的最佳指标。尽管观察到不同的活性峰,但这两个物种之间的空间分隔尚不清楚。为了确保这些物种的生存,需要采取保护措施,使它们的栖息地免受人为活动的影响。

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