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Patterns and Determinants of Habitat Occupancy by the Asian Elephant in the Western Ghats of Karnataka India

机译:印度卡纳塔克邦西高止山脉亚洲象的栖息地格局及其决定因素

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摘要

Understanding species distribution patterns has direct ramifications for the conservation of endangered species, such as the Asian elephant Elephas maximus. However, reliable assessment of elephant distribution is handicapped by factors such as the large spatial scales of field studies, survey expertise required, the paucity of analytical approaches that explicitly account for confounding observation processes such as imperfect and variable detectability, unequal sampling probability and spatial dependence among animal detections. We addressed these problems by carrying out ‘detection—non-detection’ surveys of elephant signs across a c. 38,000-km2 landscape in the Western Ghats of Karnataka, India. We analyzed the resulting sign encounter data using a recently developed modeling approach that explicitly addresses variable detectability across space and spatially dependent non-closure of occupancy, across sampling replicates. We estimated overall occupancy, a parameter useful to monitoring elephant populations, and examined key ecological and anthropogenic drivers of elephant presence. Our results showed elephants occupied 13,483 km2 (SE = 847 km2) corresponding to 64% of the available 21,167 km2 of elephant habitat in the study landscape, a useful baseline to monitor future changes. Replicate-level detection probability ranged between 0.56 and 0.88, and ignoring it would have underestimated elephant distribution by 2116 km2 or 16%. We found that anthropogenic factors predominated over natural habitat attributes in determining elephant occupancy, underscoring the conservation need to regulate them. Human disturbances affected elephant habitat occupancy as well as site-level detectability. Rainfall is not an important limiting factor in this relatively humid bioclimate. Finally, we discuss cost-effective monitoring of Asian elephant populations and the specific spatial scales at which different population parameters can be estimated. We emphasize the need to model the observation and sampling processes that often obscure the ecological process of interest, in this case relationship between elephants to their habitat.
机译:了解物种分布模式对保护濒危物种,例如亚洲象最大象(Elephas maximus)有直接的影响。但是,对大象分布的可靠评估受到以下因素的限制:诸如大型的实地研究的空间规模,所需的调查专业知识,缺乏明确解释混杂观测过程(例如不完善和可变的可检测性),不平等的采样概率和空间依赖性的分析方法在动物检测中。我们通过对c上的大象标志进行“侦破-未侦破”调查来解决这些问题。印度卡纳塔克邦西高止山脉的38,000公里 2 景观。我们使用最近开发的建模方法分析了结果遇到的信号遭遇数据,该方法明确解决了跨空间的可变可检测性和跨样本重复的空间依赖性非封闭性。我们估算了总体占用率(该参数可用于监控大象种群),并研究了大象生存的主要生态和人为驱动因素。我们的结果显示,大象占地13,483 km 2 (SE = 847 km 2 )对应于大象栖息地21,167 km 2 的64%研究前景,是监视未来变化的有用基准。复制级别的检测概率介于0.56和0.88之间,而忽略它会低估大象的分布2116 km 2 或16%。我们发现,在确定大象的占有率时,人为因素高于自然栖息地属性,这突显了保护动物的必要性。人为干扰影响了大象栖息地的占用以及站点级别的可检测性。在这种相对潮湿的生物气候中,降雨不是重要的限制因素。最后,我们讨论了对亚洲象种群的经济有效的监测以及可以估算不同种群参数的特定空间尺度。我们强调需要对观察和采样过程进行建模,这些过程通常会掩盖感兴趣的生态过程,在这种情况下,是指大象与栖息地之间的关系。

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