Evidence map›Paper›PMID 41331521›Full record

ArticleNature ecology & evolution2026

Spatial patterns and future potential of tree species richness and structural diversity in China's forests.

Changjin Cheng, Guoyi Zhou, Xuli Tang, Shaopeng Wang, Yanjun Su, Jin Wu, Xiangtao Xu, Wenfang Xu, Fangmei Lin, Yongshi Zhou and 9 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature ecology & evolution, 2026. 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

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

2 citing papers in PubMed.

  1. Article
  2. 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

19 authors.

Changjin ChengState Key Laboratory of Plant Diversity and Specialty Crops, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China.ORCID 0000-0002-9238-7542
Guoyi ZhouInstitute of Ecology, School of Ecology and Applied Meteorology, Jiangsu Key Laboratory of Agricultural Meteorology, Nanjing University of Information Science and Technology, Nanjing, China.ORCID 0000-0002-1115-0421
Xuli TangState Key Laboratory of Plant Diversity and Specialty Crops, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China.
Shaopeng WangInstitute of Ecology, Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, China.ORCID 0000-0002-9430-8879
Yanjun SuState Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0001-7931-339X
Jin WuState Key Laboratory of Agrobiotechnology, School of Biological Sciences and Institute for Climate and Carbon Neutrality, The University of Hong Kong, Hong Kong, China.ORCID 0000-0001-8991-3970
Xiangtao XuDepartment of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, USA.ORCID 0000-0002-9402-9474
Wenfang XuState Key Laboratory of Plant Diversity and Specialty Crops, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China.ORCID 0000-0002-2883-2760
Fangmei LinState Key Laboratory of Plant Diversity and Specialty Crops, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China.
Yongshi ZhouState Key Laboratory of Plant Diversity and Specialty Crops, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China.
Genxu WangInstitute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, China.
Junhua YanState Key Laboratory of Plant Diversity and Specialty Crops, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China.
Keping MaInstitute of Botany, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0001-9112-5340
Sheng DuInstitute of Soil and Water Conservation, Chinese Academy of Sciences, Yangling, China.ORCID 0000-0002-5580-399X
Shenggong LiInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Shijie HanSchool of Life Science, Qufu Normal University, Qufu, China.ORCID 0000-0002-3643-050X
Youxin MaXishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, China.
Juxiu LiuState Key Laboratory of Plant Diversity and Specialty Crops, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China. ljxiu@scbg.ac.cn.ORCID 0000-0001-7850-1006
Donghai WuState Key Laboratory of Plant Diversity and Specialty Crops, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China. donghaiwu@scbg.ac.cn.ORCID 0000-0002-4638-3743

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Two fundamental aspects that characterize the diversity of natural forests are species richness and structural diversity. Our understanding of the fine-grained patterns and drivers of tree species richness and structural diversity in many regions has been limited by lack of spatially representative vegetation-plot data. Here we use data on 314,613 trees from 3,396 plots to elucidate spatial patterns, determinants and future potential of tree species richness and structural diversity in natural forests across China. We find that the patterns and their dominant drivers differed between tree species richness and structural diversity. Precipitation seasonality is the foremost predictor of species richness, whereas forest age is the leading predictor of structural diversity. Projections based on future climate scenarios SSP126 and SSP245 highlight the potential for substantial increases in fine-grained species richness (~36%) and structural diversity (~27%) by 2100. While this increase in diversity could enhance carbon sequestration, it may also pose threats to endangered species due to intensified competition for limited ecological niches.

Indexed as

BiodiversityForestsTreesChinaClimate Change

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Registered trials

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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.