Evidence map›Paper›PMID 42187698›Full record

ArticleBiology2026

Comparing Multi-Criteria Analysis and Species Distribution Models for Identifying Locust Suitable Habitats in Xinjiang, China.

Sijie Cui, Jianghua Zheng, Jun Lin, Zhong Liang, Feifei Zhang, Junteng Luo, Xuan Li, Xiaoyu Guo, Jianguo Wu

Abstract read
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In one paragraph

Article in Biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Sijie CuiCollege of Geography and Remote Sensing Science, Xinjiang University, Urumqi 830046, China.
Jianghua ZhengCollege of Geography and Remote Sensing Science, Xinjiang University, Urumqi 830046, China.
Jun LinCenter for Grassland Biological Disaster Prevention and Control of Xinjiang, Urumqi 830001, China.
Zhong LiangCenter for Grassland Biological Disaster Prevention and Control of Xinjiang, Urumqi 830001, China.
Feifei ZhangCollege of Geography and Remote Sensing Science, Xinjiang University, Urumqi 830046, China.
Junteng LuoCollege of Geography and Remote Sensing Science, Xinjiang University, Urumqi 830046, China.
Xuan LiCollege of Geography and Remote Sensing Science, Xinjiang University, Urumqi 830046, China.
Xiaoyu GuoCollege of Geography and Remote Sensing Science, Xinjiang University, Urumqi 830046, China.
Jianguo WuCenter for Grassland Biological Disaster Prevention and Control of Xinjiang, Urumqi 830001, China.

Funding

Modeling and Optimization of Monitoring and Forecasting for Typical Transboundary Migratory Locusts in the China-Kazakhstan Region 2025-JLDTF4-05172XThe Autonomous Region's Three Rural Key Talent Training Programme 2023SNGGGGCC004
6 · The paper itself

Abstract

Locust outbreaks are major biological disturbances in grassland ecosystems of arid and semi-arid regions. Accurate identification of locust suitable habitats is important for regional monitoring and management. However, direct comparisons between multi-criteria analysis (MCA) and species distribution models (SDMs) under a unified framework remain limited. In this study, we compared these two approaches for dominant locust species in Xinjiang, China, including

Indexed as

locust suitable habitatmulti-criteria analysisspatial agreementspecies distribution models

Identifiers

PMID42187698
PMCPMC13203660

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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.