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预测气候变化下印度尼西亚濒危灵长类物种的热点区域并对保护区进行优先级排序

Predicting Hotspots and Prioritizing Protected Areas for Endangered Primate Species in Indonesia under Changing Climate.

作者信息

Condro Aryo Adhi, Prasetyo Lilik Budi, Rushayati Siti Badriyah, Santikayasa I Putu, Iskandar Entang

机构信息

Tropical Biodiversity Conservation Program, Department of Forest Resources Conservation and Ecotourism, Faculty of Forestry, Kampus IPB Darmaga, IPB University (Bogor Agricultural University), Bogor 16680, Indonesia.

Department of Forest Resources Conservation and Ecotourism, Faculty of Forestry, Kampus IPB Darmaga, IPB University (Bogor Agricultural University), Bogor 16680, Indonesia.

出版信息

Biology (Basel). 2021 Feb 15;10(2):154. doi: 10.3390/biology10020154.

Abstract

Indonesia has a large number of primate diversity where a majority of the species are threatened. In addition, climate change is conservation issues that biodiversity may likely face in the future, particularly among primates. Thus, species-distribution modeling was useful for conservation planning. Herein, we present protected areas (PA) recommendations with high nature-conservation importance based on species-richness changes. We performed maximum entropy (Maxent) to retrieve species distribution of 51 primate species across Indonesia. We calculated species-richness change and range shifts to determine the priority of PA for primates under mitigation and worst-case scenarios by 2050. The results suggest that the models have an excellent performance based on seven different metrics. Current primate distributions occupied 65% of terrestrial landscape. However, our results indicate that 30 species of primates in Indonesia are likely to be extinct by 2050. Future primate species richness would be also expected to decline with the alpha diversity ranging from one to four species per 1 km. Based on our results, we recommend 54 and 27 PA in Indonesia to be considered as the habitat-restoration priority and refugia, respectively. We conclude that species-distribution modeling approach along with the categorical species richness is effectively applicable for assessing primate biodiversity patterns.

摘要

印度尼西亚拥有大量的灵长类动物多样性,其中大多数物种受到威胁。此外,气候变化是生物多样性未来可能面临的保护问题,尤其是在灵长类动物中。因此,物种分布建模对保护规划很有用。在此,我们基于物种丰富度变化提出具有高度自然保护重要性的保护区(PA)建议。我们运用最大熵模型(Maxent)来获取印度尼西亚51种灵长类物种的分布。我们计算了物种丰富度变化和分布范围变化,以确定到2050年在缓解和最坏情况下灵长类动物保护区的优先级。结果表明,基于七种不同指标,这些模型具有出色的性能。目前灵长类动物的分布占据了65%的陆地景观。然而,我们的结果表明,到2050年印度尼西亚可能有30种灵长类动物灭绝。未来灵长类物种丰富度预计也会下降,每平方公里的α多样性从1种到4种不等。基于我们的结果,我们建议将印度尼西亚的54个和27个保护区分别视为栖息地恢复的优先区域和避难所。我们得出结论,物种分布建模方法以及分类物种丰富度有效地适用于评估灵长类生物多样性模式。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f898/7919460/483e48063d1a/biology-10-00154-g001.jpg

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