Evidence map›Paper›PMID 42355271›Full record

ArticleInsects2026

Evaluation of Different Strategies to Incorporate Absolute Abundance into Habitat Selection Modeling for the Endangered

Tianwu Ma, Rui Guo, Qian Lei, Zhangfeng Cheng, Qingyun Wang, Qiao Li, Hong Wu, Junhao Huang, Liwei Liu

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

9 authors.

Tianwu MaState Key Laboratory of Climate System Prediction and Risk Management, Nanjing Normal University, Nanjing 210023, China.ORCID 0000-0002-6199-9298
Rui GuoAdministration of Zhejiang Qingliangfeng National Nature Reserve, Hangzhou 311300, China.
Qian LeiAdministration of Zhejiang Qingliangfeng National Nature Reserve, Hangzhou 311300, China.
Zhangfeng ChengAdministration of Zhejiang Qingliangfeng National Nature Reserve, Hangzhou 311300, China.
Qingyun WangCollege of Forestry and Biotechnology, Zhejiang A&F University, Hangzhou 311300, China.ORCID 0000-0001-8756-4383
Qiao LiJingning She Autonomous County Ecological Forestry Development Center, Lishui 323500, China.
Hong WuCollege of Forestry and Biotechnology, Zhejiang A&F University, Hangzhou 311300, China.ORCID 0000-0001-5542-5370
Junhao HuangCollege of Forestry and Biotechnology, Zhejiang A&F University, Hangzhou 311300, China.
Liwei LiuCollege of Forestry and Biotechnology, Zhejiang A&F University, Hangzhou 311300, China.ORCID 0000-0002-5758-0638

Funding

National Natural Science Foundation of China 42501064
6 · The paper itself

Abstract

Developing habitat selection models is crucial for predicting the potential distribution of rare and endangered insects; however, current modeling approaches largely ignore absolute abundance data from sampling records. Integrating absolute abundance as sample weights involves two contrasting ecological hypotheses: one assumes high abundance reflects superior habitat quality (direct weighting), while the other attributes high abundance to spatially biased sampling effort (inverse weighting). Both hypotheses are plausible for

Indexed as

Cheirotonus jansonicost-sensitive learningGeoAIhabitat suitabilitypotential distributionsampling effortspecies distribution model

Identifiers

PMID42355271
PMCPMC13299482

What Socratic 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 Socratic graph.