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首页> 外文期刊>Biology Bulletin >Predicting Habitat Suitability of Snow Leopards in the Western Himalayan Mountains, India
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Predicting Habitat Suitability of Snow Leopards in the Western Himalayan Mountains, India

机译：预测雪豹栖息地在印度喜马拉雅山脉的栖息地适用性

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摘要

The population of snow leopard (Panthera uncia) is declining across their range, due to poaching, habitat fragmentation, retaliatory killing, and a decrease of wild prey species. Obtaining information on rare and cryptic predators living in remote and rugged terrain is important for making conservation and management strategies. We used the Maximum Entropy (MaxEnt) ecological niche modeling framework to predict the potential habitat of snow leopards across the western Himalayan region, India. The model was developed using 34 spatial species occurrence points in the western Himalaya, and 26 parameters including, prey species distribution, temperature, precipitation, land use and land cover (LULC), slope, aspect, terrain ruggedness and altitude. Thirteen variables contributed 98.6% towards predicting the distribution of snow leopards. The area under the curve (AUC) score was high (0.994) for the training data from our model, which indicates predictive ability of the model. The model predicted that there was 42 432 km(2) of potential habitat for snow leopards in the western Himalaya region. Protected status was available for 11 247 km(2) (26.5%), but the other 31 185 km(2) (73.5%) of potential habitat did not have any protected status. Thus, our approach is useful for predicting the distribution and suitable habitats and can focus field surveys in selected areas to save resources, increase survey success, and improve conservation efforts for snow leopards.
机译：由于偷猎，栖息地碎片，报复性杀伤和野生猎物的减少，雪豹（Panthera Unbia）在其范围内下降。获取有关生活在遥远的地形中的罕见和隐秘掠食者的信息对于进行保护和管理策略非常重要。我们使用了最大的熵（MaxEnt）生态利基型框架，以预测印度西部喜马拉雅地区的雪豹潜在的栖息地。该模型是在喜马拉雅山脉34个空间物种出现点开发的，包括26个参数，包括猎物物种分布，温度，降水，土地利用和陆地覆盖（Lulc），斜坡，方面，地形坚固和高度。十三个变量贡献了98.6％，以预测雪豹的分布。曲线（AUC）评分下的区域很高（0.994），用于我们模型的培训数据，这表明了模型的预测能力。该型号预测，Himalaya地区西部雪豹有42 432公里（2）个潜在的栖息地。保护状态可获得11 247公里（2）（26.5％），但其他31公里（2）（2）（73.5％）的潜在栖息地没有任何保护状态。因此，我们的方法对于预测分布和合适的栖息地是有用的，并且可以将场上调查集中在所选领域，以节省资源，提高调查成功，提高雪豹的保护努力。

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