Evidence map›Paper›PMID 41302886›Full record

ArticleInsects2025

Alpine Grassland Ecological Restoration Approaches Shape Insect Trophic Guild Diversity: A Multi-Dimensional Assessment from Alpha to Dark Diversity.

Kuanyan Tang, Hongru Yue, Haijuan Qu, Yifang Xing, Bingshuang Qin, Aosheng Wang, Kejian Lin, Kun Shi, Ning Wang

Abstract read
In one paragraph

Article in Insects, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Kuanyan TangInstitute of Grassland Research, Chinese Academy of Agricultural Sciences, Hohhot 010010, China.ORCID 0000-0003-2080-9088
Hongru YueInstitute of Grassland Research, Chinese Academy of Agricultural Sciences, Hohhot 010010, China.
Haijuan QuInstitute of Grassland Research, Chinese Academy of Agricultural Sciences, Hohhot 010010, China.
Yifang XingInstitute of Grassland Research, Chinese Academy of Agricultural Sciences, Hohhot 010010, China.
Bingshuang QinInstitute of Grassland Research, Chinese Academy of Agricultural Sciences, Hohhot 010010, China.
Aosheng WangInstitute of Grassland Research, Chinese Academy of Agricultural Sciences, Hohhot 010010, China.
Kejian LinInstitute of Grassland Research, Chinese Academy of Agricultural Sciences, Hohhot 010010, China.
Kun ShiWildlife Institute, School of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100083, China.
Ning WangInstitute of Grassland Research, Chinese Academy of Agricultural Sciences, Hohhot 010010, China.

Funding

Kun Shi P166853
6 · The paper itself

Abstract

The severe degradation of alpine grasslands on the Qinghai-Tibet Plateau poses a significant threat to regional ecological security. While insects are critical for ecosystem functions, their responses to restoration measures in these fragile habitats are poorly documented. This study assessed the initial impacts of four restoration approaches-grazing exclusion fencing (FE), no-till reseeding (FR), planting grass (GC), and grazing control (CK)-on insect trophic guilds (herbivores, predators, saprophagous, and omnivores) in the Qilian Mountains. Using a multi-dimensional indicator (alpha, zeta, and dark diversity), we systematically assessed community assembly and recovery potential. The results revealed the following: (1) FE supported the highest insect abundance, dominated by phytophagous insects. FR significantly enhanced species' richness and diversity across multiple functional groups (

Indexed as

alpine grasslanddark diversityecological restorationinsect functional groupszeta diversity

Identifiers

PMID41302886
PMCPMC12653117

What OpenQuestion holds

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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 OpenQuestion graph.