ArticlePeerJ2021
The potential habitat of desert locusts is contracting: predictions under climate change scenarios.
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.
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.
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.
Who cites it
11 citing papers in PubMed, 36 citations in OpenAlex.
- Comparative modelling of two migratory locusts along the China-Kazakhstan border under climate change: Poleward habitat shifts and increasing transboundary risk.Pest management science · 2026Article
- Comparing Multi-Criteria Analysis and Species Distribution Models for Identifying Locust Suitable Habitats in Xinjiang, China.Biology · 2026Article
- Desert locust outbreaks: ecological and economic impacts and management strategies.Frontiers in zoology · 2026Review
- Cuticular Hydrocarbon Differentiation Between Body Parts of Schistocerca gregaria Locusts.Journal of chemical ecology · 2026Article
- MaxEnt Prediction ofEcology and evolution · 2025Article
- Article
- Plant-Derived Natural Products and Their Nano Transformation: A Sustainable Option Towards Desert Locust Infestations.ChemistryOpen · 2025Review
- A framework for modelling desert locust population dynamics and large-scale dispersal.PLoS computational biology · 2024Article
- Article
- Current and future scenarios of suitability and expansion of cassava brown streak disease,PeerJ · 2024Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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
Identifiers
What OpenQuestion holds
Registered trials
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.