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Improving conservation effectiveness of nature reserve for golden snub‐nosed monkey a niche‐based approach

机译:基于小生境的方法提高金丝雀猴自然保护区的保护有效性

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摘要

Reserve selections are often opportunistic rather than strategic and coordinated, and consequently, many reserves are ineffective to achieve their intended goals of conservation. Here, we assessed the conservation effectiveness of a reserve for the golden snub‐nosed monkeys (Rhinopithecus roxellana) with a niche‐based approach. We assessed habitat usage of the monkeys in Shennongjia Nature Reserve (SNR) and attributes of 14 environmental variables that could potentially affect the monkeys’ habitat use. Spatial distribution of potentially suitable habitat for the monkeys was then modeled with Maxent, a niche‐based model, and conservation effectiveness of SNR was assessed by comparing the current boundary of the reserve with the spatial distribution of the modeled potential habitat and the current habitat area of the monkeys. Only 59% of the habitat area and 61% of the predicted potential habitat area were under the protection of SNR. To improve conservation effectiveness of SNR, we proposed that the current SNR be enlarged by 270 km2. The enlarged reserve would encompass 100% of the existing habitat area plus 89% of the predicted potential habitat area. Using the niche‐based approach, we were able to integrate habitat usage data of the target species with that of remote sensing to identify areas potentially suitable as habitat for the species. This information can be used not only for improving conservation effectiveness of existing reserves but also for the effective planning and designing of new reserves.
机译:保护区的选择通常是机会主义的,而不是战略性和协调性的,因此,许多保护区对于实现其预期的保护目标无效。在这里,我们采用基于生态位的方法评估了金丝雀(Rhinopithecus roxellana)猴子保护区的保护效果。我们评估了神农架自然保护区(SNR)中猴子的栖息地使用情况以及14个可能影响猴子的栖息地使用情况的环境变量的属性。然后,利用基于生态位的模型Maxent对可能适合猴子的栖息地的空间分布进行建模,并通过将保护区的当前边界与模型化的潜在栖息地和当前栖息地的空间分布进行比较,评估SNR的保护有效性。的猴子。 SNR保护仅栖息地面积的59%和预测的潜在栖息地面积的61%。为了提高SNR的保护效果,我们建议将当前SNR扩大270 km 2 。扩大后的保护区将包括现有栖息地面积的100%加上预计的潜在栖息地面积的89%。使用基于生态位的方法,我们能够将目标物种的栖息地使用数据与遥感数据进行整合,以识别可能适合该物种栖息地的区域。该信息不仅可以用于提高现有保护区的保护有效性,而且可以用于有效规划和设计新保护区。

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