Evidence map›Paper›PMID 33672036›Full record

ArticleBiology2021

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

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

Abstract read
In one paragraph

Article in Biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
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  8. Modeling ofBiology · 2022
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Aryo Adhi CondroTropical Biodiversity Conservation Program, Department of Forest Resources Conservation and Ecotourism, Faculty of Forestry, Kampus IPB Darmaga, IPB University (Bogor Agricultural University), Bogor 16680, Indonesia.ORCID 0000-0002-2069-6223
Lilik Budi PrasetyoDepartment of Forest Resources Conservation and Ecotourism, Faculty of Forestry, Kampus IPB Darmaga, IPB University (Bogor Agricultural University), Bogor 16680, Indonesia.ORCID 0000-0001-5320-3221
Siti Badriyah RushayatiDepartment of Forest Resources Conservation and Ecotourism, Faculty of Forestry, Kampus IPB Darmaga, IPB University (Bogor Agricultural University), Bogor 16680, Indonesia.
I Putu SantikayasaDepartment of Geophysics and Meteorology, Faculty of Mathematics and Natural Sciences, Kampus IPB Darmaga, IPB University (Bogor Agricultural University), Bogor 16680, Indonesia.
Entang IskandarPrimate Research Center, IPB University (Bogor Agricultural University), Jalan Lodaya II No 5, Bogor 16680, Indonesia.

Funding

Ministry of Research and Technology of the Republic of Indonesia 691/IT3.L1/PN/2020
6 · The paper itself

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

Indexed as

alpha diversityclimate changeIndonesiaMaxentprimate conservationprotected areasspecies distribution modelspecies richness

Identifiers

PMID33672036
PMCPMC7919460

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.