Evidence map›Paper›PMID 42652497›Full record

ArticleInsects2026

Effects of Different Spatial Extents of Occurrence Data on Biomod2-Based Species Distribution Modeling and Prediction: A Case Study of the Potential Distribution of

Junke Nan, Maofa Yang, Zhipeng He, Baoqian Lyu, Rulin Wang, Danping Xu, Zhihang Zhuo

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Insects, 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
–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

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

7 authors.

Junke NanCollege of Ecology and Agriculture, Sichuan Minzu College, Kangding 626001, China.
Maofa YangCollege of Tobacco Science, Guizhou University, Guiyang 550025, China.
Zhipeng HeCollege of Life Science, China West Normal University, Nanchong 637002, China.ORCID 0009-0007-7776-194X
Baoqian LyuEnvironment and Plant Protection Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou 571101, China.
Rulin WangSichuan Province Agro-Meteorological Center, Chengdu 610071, China.ORCID 0000-0002-1431-0769
Danping XuCollege of Life Science, China West Normal University, Nanchong 637002, China.
Zhihang ZhuoCollege of Ecology and Agriculture, Sichuan Minzu College, Kangding 626001, China.

Funding

Joint Research Project for Meteorological Capacity Improvement 2025NLTSZ001Key Innovation Team of Sichuan Provincial Meteorological Service SCQXZDCXTD202403Natural Science Foundation of Sichuan Province 2026NSFSC0199Open Research Fund of Environment-friendly and Efficient Water-Saving Technology and Equipment for Hilly Agriculture Key Laboratory of Sichuan Province 2025JDPT0109-3Scientific Research Start-up Fund for High-level Talents of Sichuan Minzu College QDF2515A
6 · The paper itself

Abstract

Climate change is reshaping species distributions worldwide, making reliable prediction of invasive species increasingly important for ecological risk assessment and pest management. However, species distribution models (SDMs) calibrated with regional occurrence records may underestimate potential suitable habitats because of niche truncation. Here, we evaluated the effects of occurrence data extent on SDM predictions using the globally invasive agricultural pest

Indexed as

ArcGISBiomod2climate changeensemble modelinvasive pestSpodoptera frugiperda

Identifiers

PMID42652497
PMCPMC13513867

What OpenQuestion holds

Textmetadata
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.