Evidence map›Paper›PMID 40067844›Full record

ArticlePloS one2025

Using natural vegetation succession to evaluate how natural restoration proceeds under different climate in Yunnan, Southwest China.

Weifeng Gui, Qingzhong Wen, Wenyuan Dong, Xue Ran, Xiaosong Yang, Guangqi Zou, Dechang Kong

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Weifeng GuiYunnan Institute of Forest Inventory and Planning, Kunming, China.ORCID 0000-0001-8292-6242
Qingzhong WenYunnan Institute of Forest Inventory and Planning, Kunming, China.
Wenyuan DongSouthwest forestry university, Kunming, China.
Xue RanYunnan College of Tourism Vocation, Kunming, China.
Xiaosong YangYunnan Institute of Forest Inventory and Planning, Kunming, China.
Guangqi ZouYunnan Institute of Forest Inventory and Planning, Kunming, China.
Dechang KongYunnan Institute of Forest Inventory and Planning, Kunming, China.

Funding

Protection and Restoration of Ecological Space Research Project in Yunnan Provinc 2020103122
6 · The paper itself

Abstract

Currently, natural restoration has been widely proposed as the primary method of ecological restoration and has been studied for a long time. However, research on how to quantify the progress of natural restoration in different climate conditions, especially using long-term succession monitoring data combined with habitat quality data across various succession stages, has been scarce. Our study aims to address this issue in Yunnan, southwest China. To quantify the progress of natural restoration under different climates in Yunnan, we introduced an index, the Natural Succession Index. Utilizing topography and meteorological data, we divided the study area into different climate sub-areas using the Two-stage clustering algorithm. We then combined 1703 sets of 30-year succession monitoring data, each with six observations taken at five-year intervals from 1987 to 2017, with habitat quality data from different succession stages (grassland, shrub, and forest) to quantify the Natural Succession Index. Yunnan province was divided into 14 sub-areas, namely C(I to II), M(I to III), W(I to IV), and H(I to IV), each possessing a unique environment. The indices in each sub-area were calculated, with the results showing a specific order: H-I (0.7812) >  H-IV (0.7739) >  W-I (0.6498) >  M-III (0.6356) >  H-III (0.6316) >  M-II (0.5735) >  W-III (0.5644) >  W-IV (0.5571) >  C-II (0.4778) >  W-II (0.3980) >  M-I (0.3624) >  H-II (0.3375) >  C-I (0.2943). The times for natural succession to reach the forest stage vary from 5 to 19 years, which aligns with the order of indices. The stand volumes of vegetation in the forest stage range from 5 m³ to 110 m³, with a higher Natural Succession Index value corresponding to a higher stand volume of vegetation. In the future, the index could be utilized to reallocate investments in natural restoration projects for better returns. Constant vigilance is required in the first five years following the implementation of restoration actions to avoid failure due to calculation errors.

Indexed as

ClimateConservation of Natural ResourcesChinaEcosystemForestsGrassland

Identifiers

PMID40067844
PMCPMC11896063

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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.