Evidence map›Paper›PMID 40592447›Full record

ArticleProceedings. Biological sciences2025

How does species rarity influence the functional diversity and resilience along the successional pathway in heterogeneous karst forests?

Longchenxi Meng, Scott Jarvie, Mingzhen Sui, Danmei Chen, Guangqi Zhang, Qingfu Liu, Yi Ding, Han Xu, Lipeng Zang

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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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.

Longchenxi MengGuizhou University College of Forestry, Guiyang, People's Republic of China.ORCID 0009-0006-7298-7950
Scott JarvieOtago Regional Council, Dunedin, New Zealand.
Mingzhen SuiGuizhou University College of Forestry, Guiyang, People's Republic of China.
Danmei ChenGuizhou University College of Forestry, Guiyang, People's Republic of China.
Guangqi ZhangGuizhou University College of Forestry, Guiyang, People's Republic of China.
Qingfu LiuGuizhou University College of Forestry, Guiyang, People's Republic of China.
Yi DingEcology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing, People's Republic of China.
Han XuResearch Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou, People's Republic of China.
Lipeng ZangGuizhou University College of Forestry, Guiyang, People's Republic of China.

Funding

Guizhou Provincial Key Technology R&D ProgramGuizhou University scientific Research and Innovation Team ProjectNational Natural Science Foundation of China
6 · The paper itself

Abstract

Global climate change and human activities have increased the risk of rare species loss due to their sensitivity to disturbances. Considering their dominance in hyper-diverse communities, the contribution pathways and extent of rare species loss to functional diversity and resilience should be clarified. Therefore, we established 30 forest dynamic plots in heterogeneous degraded karst forests and measured the plant functional traits along the successional pathway. The correlations between trait uniqueness and species rarity were quantified, and the effects of rare and common species losses on functional diversity and trait networks were simulated. The correlations between trait uniqueness and species rarity showed that rare species tended to occupy marginal functional space positions in the mid- and late successional stages. In addition, rare species mainly supported functional redundancy in the early successional stage and significantly impacted functional resilience. In contrast, the unique traits supported by rare species increased along the successional pathway, thus increasing functional diversity and resilience in the late successional stage. This study highlights the crucial role of rare species in the functional diversity and resilience of degraded karst forests, warranting increased attention to rare species during biodiversity conservation and ecological management in heterogeneous, vulnerable ecosystems.

Indexed as

BiodiversityForestsTreesClimate ChangeConservation of Natural Resourcesfunctional resiliencefunctional trait networksfunctional trait spaceheterogeneous forest ecosystemspecies raritysuccessional pathway

Identifiers

PMID40592447
PMCPMC12289201

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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.