Evidence map›Paper›PMID 30700855›Full record

ArticleScientific reports2019

Risk of biodiversity collapse under climate change in the Afro-Arabian region.

Alaaeldin Soultan, Martin Wikelski, Kamran Safi

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

3 authors.

Alaaeldin SoultanMax Planck Institute for Ornithology, Department of Migration and Immuno-ecology, Am Obstberg 1, 78315, Radolfzell, Germany. asoultan@orn.mpg.de.ORCID 0000-0003-3753-7015
Martin WikelskiMax Planck Institute for Ornithology, Department of Migration and Immuno-ecology, Am Obstberg 1, 78315, Radolfzell, Germany.
Kamran SafiMax Planck Institute for Ornithology, Department of Migration and Immuno-ecology, Am Obstberg 1, 78315, Radolfzell, Germany.ORCID 0000-0002-8418-6759

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For 107 endemic mammal species in the Afro-Arabian region, Sahara-Sahel and Arabian Desert, we used ensemble species distribution models to: (1) identify the hotspot areas for conservation, (2) assess the potential impact of the projected climate change on the distribution of the focal species, and (3) assign IUCN threat categories for the focal species according to the predicted changes in their potential distribution range. We identified two main hotspot areas for endemic mammals: the Sinai and its surrounding coastal area in the East, and the Mediterranean Coast around Morocco in the West. Alarmingly, our results indicate that about 17% of the endemic mammals in the Afro-Arabian region under the current climate change scenarios could go extinct before 2050. Overall, a substantial number of the endemic species will change from the IUCN threat category "Least Concern" to "Critically Endangered" or "Extinct" in the coming decades. Accordingly, we call for implementing an urgent proactive conservation action for these endemic species, particularly those that face a high risk of extinction in the next few years. The results of our study provide conservation managers and practitioners with the required information for implementing an effective conservation plan to protect the biodiversity of the Afro-Arabian region.

Indexed as

BiodiversityClimate ChangeRiskAfricaAnimalsArabiaGeographyMammalsSpecies SpecificityTime Factors

Identifiers

PMID30700855
PMCPMC6353965

What OpenQuestion holds

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Registered trials

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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.