Evidence map›Paper›PMID 40629088›Full record

ArticleNature ecology & evolution2025

Pervasive but biome-dependent relationship between fragmentation and resilience in forests.

Yongxian Su, Chaoqun Zhang, Alessandro Cescatti, Kailiang Yu, Philippe Ciais, Taylor Smith, Jiali Shang, Jofre Carnicer, Jane Liu, Jing Ming Chen and 16 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature ecology & evolution, 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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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

26 authors.

Yongxian SuState Key Laboratory for Ecological Security of Regions and Cities, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China. yxsu@rcees.ac.cn.ORCID http://orcid.org/0000-0003-2114-628X
Chaoqun ZhangState Key Laboratory for Ecological Security of Regions and Cities, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China. zhangchq33@mail2.sysu.edu.cn.ORCID http://orcid.org/0000-0003-0860-9681
Alessandro CescattiEuropean Commission, Joint Research Centre, Ispra, Italy.ORCID http://orcid.org/0000-0002-2769-2591
Kailiang YuInstitute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0003-0145-0356
Philippe CiaisLaboratoire des Sciences du Climat et de l'Environnement, IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif sur Yvette, France.ORCID http://orcid.org/0000-0001-8560-4943
Taylor SmithInstitute of Geosciences, Universität Potsdam, Potsdam, Germany.ORCID http://orcid.org/0000-0002-6763-7204
Jiali ShangOttawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, Ontario, Canada.
Jofre CarnicerDepartment of Evolutionary Biology, Environmental Sciences and Ecology, University of Barcelona/CREAF/IRBIO, Barcelona, Spain.ORCID http://orcid.org/0000-0001-7454-8296
Jane LiuDepartment of Geography and Planning, University of Toronto, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0001-7760-2788
Jing Ming ChenDepartment of Geography and Planning, University of Toronto, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0002-8682-1293
Julia K GreenDepartment of Environmental Science, University of Arizona, Tucson, AZ, USA.ORCID http://orcid.org/0000-0002-8466-2313
Jianping WuGuangzhou Institute of Geography, Guangzhou, China.
Guillermo E Ponce-CamposDepartment of Environmental Science, University of Arizona, Tucson, AZ, USA.ORCID http://orcid.org/0000-0003-4332-338X
Yongguang ZhangInternational Institute for Earth System Sciences, Nanjing University, Nanjing, China.ORCID http://orcid.org/0000-0001-8286-300X
Zhiyan ZuoDepartment of Atmospheric and Oceanic Sciences/Institute of Atmospheric Sciences, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0001-5708-723X
Jinbao LiaoSchool of Ecology and Environmental Science, Yunnan University, Kunming, China.ORCID http://orcid.org/0000-0002-9520-3235
Jianping WuSchool of Ecology and Environmental Science, Yunnan University, Kunming, China.
Raffaele LafortezzaDepartment of Soil, Plant and Food Sciences, University of Bari 'Aldo Moro', Bari, Italy.ORCID http://orcid.org/0000-0003-4642-8435
Kai YanCenter for GeoData and Analysis, State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing, China.ORCID http://orcid.org/0000-0003-4262-1772
Xueqin YangGuangdong Province Data Center of Terrestrial and Marine Ecosystems Carbon Cycle, School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai, China.
Liyang LiuLaboratoire des Sciences du Climat et de l'Environnement, IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif sur Yvette, France.ORCID http://orcid.org/0000-0002-3663-7981
Jiashun RenGuangdong Province Data Center of Terrestrial and Marine Ecosystems Carbon Cycle, School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai, China.
Wenping YuanCollege of Urban and Environmental Sciences, Peking University, Beijing, China.ORCID http://orcid.org/0000-0002-1469-4395
Xiuzhi ChenGuangdong Province Data Center of Terrestrial and Marine Ecosystems Carbon Cycle, School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai, China.ORCID http://orcid.org/0009-0003-5688-2997
Chaoyang WuInstitute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China. wucy@igsnrr.ac.cn.ORCID http://orcid.org/0000-0001-6163-8209
Weiqi ZhouState Key Laboratory for Ecological Security of Regions and Cities, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China. wzhou@rcees.ac.cn.ORCID http://orcid.org/0000-0001-7323-4906

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The relationship between landscape fragmentation and vegetation resilience is uncertain. Here we use multiple satellite-based tree cover data and vegetation indices to quantify the apparent effects of fragmentation on global forest resilience and potential mechanisms thereof. We measure fragmentation as edge density, patch density and mean patch area of tree cover patches, and measure resilience as one-lag temporal autocorrelation of vegetation indices. We find a statistically significant (P < 0.05) fragmentation-resilience relationship in about 77% of fragmented forests, but the direction varies across biomes. In tropical and temperate forests, fragmentation is linked to increased local temperature and atmospheric dryness, resulting in a negative fragmentation-resilience relationship. Conversely, in boreal forests, fragmentation is associated with decreased atmospheric dryness and enhanced light resource, thereby increasing forest resilience. Our results reconcile competing hypotheses and highlight the importance of accounting for fragmentation when predicting shifts in ecosystem resilience under disturbances. These findings also suggest the necessity of biome-targeted forest management strategies for climate change mitigation and adaptation.

Indexed as

Conservation of Natural ResourcesEcosystemForestsTreesClimate Change

Identifiers

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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.