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Including biotic interactions with ungulate prey and humans improves habitat conservation modeling for endangered Amur tigers in the Russian Far East

机译:包括与有蹄类猎物和人类的生物相互作用,改善了俄罗斯远东濒临灭绝的东北虎的栖息地保护模型

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Wild tiger numbers continue to decline despite decades of conservation action. Identification, conservation and restoration of tiger habitat will be a key component of recovering tiger numbers across Asia. To identify suitable habitat for tigers in the Russian Far East, we adopted a niche-based tiger habitat modeling approach, including biotic interactions with ungulate prey species, human activities and environmental variables to identify mechanisms driving selection and distribution of tiger habitat. We conducted >28,000 km of winter snow tracking surveys in 2004/2005 over 266,000 km(2) of potential tiger habitat in 970 sampling units (similar to 171 km(2)) to record the presence of tracks of tigers and their ungulate prey. We adopted a used-unused design to estimate Resource Selection Probability Functions (RSPF) for tigers, red deer, roe deer, sika deer, wild boar, musk deer and moose. Tiger habitat was best predicted by a niche-based RSPF model based on biotic interactions with red deer, sika deer and wild boar, as well as avoidance of areas of high human activity and road density. We identified 155,000 km(2) of occupied tiger habitat in the RFE in 17 main habitat patches. Degradation of tiger habitat was most extreme in the southern areas of the Russian Far East, where at least 42% of potential historic tiger habitat has been destroyed. To improve and restore tiger habitat, aggressive conservation efforts to reduce human impacts and increase ungulate densities, tiger reproduction and adult survival will be needed across all tiger habitat identified by our tiger habitat model
机译:尽管采取了数十年的保护行动,野生虎的数量仍在继续减少。老虎栖息地的识别,保护和恢复将是整个亚洲恢复老虎数量的关键组成部分。为了在俄罗斯远东地区确定合适的老虎栖息地,我们采用了基于生态位的老虎栖息地建模方法,包括与有蹄类猎物的生物相互作用,人类活动和环境变量,以确定驱动老虎栖息地选择和分布的机制。我们在2004/2005年进行了超过28,000公里的冬季降雪跟踪调查,以970个采样单位(类似于171 km(2))对超过266,000 km(2)的潜在老虎栖息地进行了记录,以记录老虎及其有蹄类猎物的踪迹。我们采用了一种未使用的设计来估算老虎,马鹿,ro,梅花鹿,野猪,麝鹿和驼鹿的资源选择概率函数(RSPF)。老虎栖息地最好通过基于生态位的RSPF模型进行预测,该模型基于与马鹿,梅花鹿和野猪的生物相互作用,并避免人类活动频繁和道路密度高的区域。我们在RFE中的17个主要栖息地斑块中确定了155,000 km(2)的老虎栖息地。在俄罗斯远东南部地区,老虎栖息地的退化最为严重,那里至少有42%的潜在历史老虎栖息地遭到破坏。为了改善和恢复老虎栖息地,在我们的老虎栖息地模型所确定的所有老虎栖息地上,都需要进行积极的保护工作以减少对人类的影响并增加有蹄类动物的密度,老虎繁殖和成年生存。

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