Evidence map›Paper›PMID 40613311›Full record

ArticleGlobal change biology2025

Distribution Range and Richness of Plant Species Are Predicted to Increase by 2100 due to a Warmer and Wetter Climate in Northern China.

Ying Sun, Yan Deng, Shuran Yao, Yuan Sun, Abraham Allan Degen, Longwei Dong, Jiali Luo, Shubin Xie, Qingqing Hou, Dong Tang and 6 more

Abstract read
In one paragraph

Article in Global change biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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  7. Comparative volatile profiling ofFrontiers in plant science · 2026
    Article
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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

16 authors.

Ying SunState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Ecology, Lanzhou University, Lanzhou, China.ORCID 0009-0000-4071-2537
Yan DengState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Ecology, Lanzhou University, Lanzhou, China.
Shuran YaoState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Ecology, Lanzhou University, Lanzhou, China.
Yuan SunState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Ecology, Lanzhou University, Lanzhou, China.
Abraham Allan DegenDesert Animal Adaptations and Husbandry, Wyler Department of Dryland Agriculture, Institutes for Desert Research, Ben-Gurion University of Negev, Beer Sheva, Israel.
Longwei DongState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Ecology, Lanzhou University, Lanzhou, China.ORCID 0000-0003-1665-1775
Jiali LuoState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Ecology, Lanzhou University, Lanzhou, China.
Shubin XieState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Ecology, Lanzhou University, Lanzhou, China.
Qingqing HouState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Ecology, Lanzhou University, Lanzhou, China.
Dong TangState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Ecology, Lanzhou University, Lanzhou, China.ORCID 0009-0004-9024-2632
Yuzhen SunState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Ecology, Lanzhou University, Lanzhou, China.
Junlan XiongState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Ecology, Lanzhou University, Lanzhou, China.
Jie PengState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Ecology, Lanzhou University, Lanzhou, China.
Weigang HuState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Ecology, Lanzhou University, Lanzhou, China.
Jinzhi RanState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Ecology, Lanzhou University, Lanzhou, China.
Jianming DengState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Ecology, Lanzhou University, Lanzhou, China.ORCID 0000-0002-5901-2175

Funding

Key Research and Development Programs in Gansu Province 23ZDKA0010Key Research and Development Programs in Gansu Province 23ZDNA009Key Research and Development Programs in Gansu Province 24ZD13NA016National Key Research and Development Program of China 2023YFF0805602National Natural Science Foundation of China 32225032National Natural Science Foundation of China 32271597Natural Science Foundation of Gansu Province 21JR1RA138Natural Science Foundation of Gansu Province 22JR5RA525Natural Science Foundation of Gansu Province 23JRRA1157Research Grant Support from Lanzhou City 127000-563224111
6 · The paper itself

Abstract

The warming global climate is threatening terrestrial ecosystem stability, including plant community structure and diversity. However, it remains unclear how distribution, richness, and turnover of plant species are impacted by warming and wetting in northern China. In the present study, species distribution models were applied to predict the spatial distribution of 5111 plant species based on 111,071 occurrence records in northern China. Additionally, variations in species richness and turnover rates were predicted for 2100 under 3 scenarios. The results indicated that approximately 70% of plant species will expand in their distribution, resulting in an increase in species richness. These changes will be driven mainly by temperature seasonality (TSN), annual precipitation (MAP), and mean temperature of the coldest quarter (MTCQ). However, about 30%-40% of the species will face extinction risks, including a considerable number of endemic and Red-Listed species, and suitable habitat loss (LSH) will exceed 30%. Narrow-ranging species will be more likely to lose a larger percentage of their suitable habitats than wide-ranging species, highlighting their sensitivity to environmental changes. Importantly, it emerged that species turnover rates will increase linearly with ecological vulnerability at the grid level, indicating that community structure and species composition are easily affected by climate change in ecologically vulnerable areas. Therefore, biodiversity hotspots with high species richness in the southern study areas, as well as regions exhibiting both fast species turnover and significant ecological vulnerability, should be prioritized for conservation. These findings provide insights into how species composition and richness in plant communities vary with global climate change and provide effective ecological conservation and management strategies.

Indexed as

BiodiversityClimate ChangePlantsChinaEcosystemTemperatureclimate changeland coverpotential distribution rangespecies distribution modelspecies richness

Identifiers

PMID40613311
PMCPMC12232221

What OpenQuestion holds

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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.