Predicting Hotspots and Prioritizing Protected Areas for Endangered Primate Species in Indonesia under Changing Climate
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....
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doaj-e0c6c5b3f7fb4b9e926e496681a332482021-02-16T00:03:08ZengMDPI AGBiology2079-77372021-02-011015415410.3390/biology10020154Predicting Hotspots and Prioritizing Protected Areas for Endangered Primate Species in Indonesia under Changing ClimateAryo Adhi Condro0Lilik Budi Prasetyo1Siti Badriyah Rushayati2I Putu Santikayasa3Entang Iskandar4Tropical Biodiversity Conservation Program, Department of Forest Resources Conservation and Ecotourism, Faculty of Forestry, Kampus IPB Darmaga, IPB University (Bogor Agricultural University), Bogor 16680, IndonesiaDepartment of Forest Resources Conservation and Ecotourism, Faculty of Forestry, Kampus IPB Darmaga, IPB University (Bogor Agricultural University), Bogor 16680, IndonesiaDepartment of Forest Resources Conservation and Ecotourism, Faculty of Forestry, Kampus IPB Darmaga, IPB University (Bogor Agricultural University), Bogor 16680, IndonesiaDepartment of Geophysics and Meteorology, Faculty of Mathematics and Natural Sciences, Kampus IPB Darmaga, IPB University (Bogor Agricultural University), Bogor 16680, IndonesiaPrimate Research Center, IPB University (Bogor Agricultural University), Jalan Lodaya II No 5, Bogor 16680, IndonesiaIndonesia 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<sup>2</sup>. 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.https://www.mdpi.com/2079-7737/10/2/154species distribution modelprimate conservationIndonesiaMaxentalpha diversityclimate change |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Aryo Adhi Condro Lilik Budi Prasetyo Siti Badriyah Rushayati I Putu Santikayasa Entang Iskandar |
spellingShingle |
Aryo Adhi Condro Lilik Budi Prasetyo Siti Badriyah Rushayati I Putu Santikayasa Entang Iskandar Predicting Hotspots and Prioritizing Protected Areas for Endangered Primate Species in Indonesia under Changing Climate Biology species distribution model primate conservation Indonesia Maxent alpha diversity climate change |
author_facet |
Aryo Adhi Condro Lilik Budi Prasetyo Siti Badriyah Rushayati I Putu Santikayasa Entang Iskandar |
author_sort |
Aryo Adhi Condro |
title |
Predicting Hotspots and Prioritizing Protected Areas for Endangered Primate Species in Indonesia under Changing Climate |
title_short |
Predicting Hotspots and Prioritizing Protected Areas for Endangered Primate Species in Indonesia under Changing Climate |
title_full |
Predicting Hotspots and Prioritizing Protected Areas for Endangered Primate Species in Indonesia under Changing Climate |
title_fullStr |
Predicting Hotspots and Prioritizing Protected Areas for Endangered Primate Species in Indonesia under Changing Climate |
title_full_unstemmed |
Predicting Hotspots and Prioritizing Protected Areas for Endangered Primate Species in Indonesia under Changing Climate |
title_sort |
predicting hotspots and prioritizing protected areas for endangered primate species in indonesia under changing climate |
publisher |
MDPI AG |
series |
Biology |
issn |
2079-7737 |
publishDate |
2021-02-01 |
description |
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<sup>2</sup>. 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. |
topic |
species distribution model primate conservation Indonesia Maxent alpha diversity climate change |
url |
https://www.mdpi.com/2079-7737/10/2/154 |
work_keys_str_mv |
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