Evidence map›Paper›PMID 42652432›Full record

ArticleInsects2026

Habitat-Driven Insect Community Structure in an Arid Agroecosystem of Xinjiang, China: Integrated Light-Trap Monitoring and DNA Barcoding Evidence.

Muhammad Irfan Zafar, Shaoshan Wang, Qizhi Liu, Jawad Hassan, Talha Shafique, Yuxian Liu

Abstract read
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

6 authors.

Muhammad Irfan ZafarXinjiang Production and Construction Corps Key Laboratory of Oasis Agricultural Pest Management and Plant Protection Resources Utilization, College of Agriculture, Shihezi University, Shihezi 832003, China.ORCID 0009-0008-5489-443X
Shaoshan WangXinjiang Production and Construction Corps Key Laboratory of Oasis Agricultural Pest Management and Plant Protection Resources Utilization, College of Agriculture, Shihezi University, Shihezi 832003, China.
Qizhi LiuXinjiang Production and Construction Corps Key Laboratory of Oasis Agricultural Pest Management and Plant Protection Resources Utilization, College of Agriculture, Shihezi University, Shihezi 832003, China.
Jawad HassanInstitute of Biodiversity, School of Ecology and Environmental Science, Yunnan University, Kunming 650500, China.
Talha ShafiqueDepartment of Knowledge Research Support Service (KRSS), University of Management and Technology, Lahore 54700, Punjab, Pakistan.ORCID 0009-0005-9559-6963
Yuxian LiuXinjiang Production and Construction Corps Key Laboratory of Oasis Agricultural Pest Management and Plant Protection Resources Utilization, College of Agriculture, Shihezi University, Shihezi 832003, China.

Funding

Science and Technology Project of the Fourth Division of the Xinjiang Production and Construction Corps KH0394
6 · The paper itself

Abstract

Research on insect biodiversity in arid and semi-arid agroecosystems of Central Asia remains limited, hindering the development of effective insect conservation strategies and integrated pest management (IPM) programs. This study examined insect community structure, diversity, and seasonal dynamics across three habitat types in Kekedala City, in the autonomous region of Ili Kazakh, Xinjiang, China. Solar-powered ultraviolet LED light traps (350-420 nm) were used for sampling from April to August 2024. A total of 63,090 individuals of 83 species, 57 families and 72 genera of insects were collected. Diversity indices calculated using the complete species dataset showed highest diversity in the riparian corridor (L3:

Indexed as

DNA barcodinginsect biodiversitylight trapnovel speciespest monitoring

Identifiers

PMID42652432
PMCPMC13513039

What OpenQuestion holds

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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.