Evidence map›Paper›PMID 34754618›Full record

ArticlePeerJ2021

The potential habitat of desert locusts is contracting: predictions under climate change scenarios.

Jingyun Guan, Moyan Li, Xifeng Ju, Jun Lin, Jianguo Wu, Jianghua Zheng

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.5field-weighted citation impact, top 6% of its field
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

11 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
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  4. Article
  5. MaxEnt Prediction ofEcology and evolution · 2025
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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

6 authors at 2 institutions in 1 country.

Jingyun GuanCollege of Resources & Environment Science, Xinjiang University, Urumqi, Xinjiang, China.
Moyan LiCollege of Resources & Environment Science, Xinjiang University, Urumqi, Xinjiang, China.
Xifeng JuCollege of Resources & Environment Science, Xinjiang University, Urumqi, Xinjiang, China.
Jun LinLocust and Rodent Control Headquarters of Xinjiang, Urumqi, Xinjiang, China.
Jianguo WuLocust and Rodent Control Headquarters of Xinjiang, Urumqi, Xinjiang, China.
Jianghua ZhengCollege of Resources & Environment Science, Xinjiang University, Urumqi, Xinjiang, China.
Xinjiang University · CNXinjiang Entry-Exit Inspection and Quarantine Bureau · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Desert locusts are notorious for their widespread distribution and strong destructive power. Their influence extends from the vast arid and semiarid regions of western Africa to northwestern India. Large-scale locust outbreaks can have devastating consequences for food security, and their social impact may be long-lasting. Climate change has increased the uncertainty of desert locust outbreaks, and predicting suitable habitats for this species under climate change scenarios will help humans deal with the potential threat of locust outbreaks. By comprehensively considering climate, soil, and terrain variables, the maximum entropy (MaxEnt) model was used to predict the potential habitats of solitary desert locusts in the 2050s and 2070s under the four shared socioeconomic pathways (SSP126, SSP245, SSP370, and SSP585) in the CMIP6 model. The modeling results show that the average area under the curve (AUC) and true skill statistic (TSS) reached 0.908 ± 0.002 and 0.701, respectively, indicating that the MaxEnt model performed extremely well and provided outstanding prediction results. The prediction results indicate that climate change will have an impact on the distribution of the potential habitat of solitary desert locusts. With the increase in radiative forcing overtime, the suitable areas for desert locusts will continue to contract, especially in the 2070s under the SSP585 scenario, and the moderately and highly suitable areas will decrease by 0.88 × 10

Indexed as

Climate changeDesert locustMaximum entropyPotential habitatShared socioeconomic pathways

Identifiers

PMID34754618
PMCPMC8555501
OpenAlexW3208388949

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.