Evidence map›Paper›PMID 37169855›Full record

ArticleNature plants2023

Human activities and species biological traits drive the long-term persistence of old trees in human-dominated landscapes.

Li Huang, Cheng Jin, Yingji Pan, Lihua Zhou, Siwei Hu, Yanpei Guo, Yuanyuan Meng, Kun Song, Mingyue Pang, Hong Li and 9 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature plants, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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  6. Assessment of suitability evaluation forFrontiers in plant science · 2025
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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

19 authors.

Li HuangInstitute of Ecology, College of Urban and Environmental Sciences and Key Laboratory for Earth Surface Processes, Peking University, Beijing, China.ORCID http://orcid.org/0000-0003-0012-5391
Cheng JinKey Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing, China.
Yingji PanKey Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China.ORCID http://orcid.org/0000-0002-8203-3943
Lihua ZhouKey Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing, China.
Siwei HuKey Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing, China.
Yanpei GuoInstitute of Ecology, College of Urban and Environmental Sciences and Key Laboratory for Earth Surface Processes, Peking University, Beijing, China.ORCID http://orcid.org/0000-0001-7724-0473
Yuanyuan MengInstitute of Ecology, College of Urban and Environmental Sciences and Key Laboratory for Earth Surface Processes, Peking University, Beijing, China.
Kun SongShanghai Key Lab for Urban Ecological Processes and Eco-Restoration, East China Normal University, Shanghai, China.ORCID http://orcid.org/0000-0001-8019-9707
Mingyue PangKey Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing, China.
Hong LiKey Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing, China.
Dunmei LinKey Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing, China.
Xiaoting XuKey Laboratory of Bio-resources and Eco-environment, Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, China.ORCID http://orcid.org/0000-0001-8126-614X
Jesse MinorDepartment of Geography and Environmental Planning, University of Maine at Farmington, Farmington, ME, USA.ORCID http://orcid.org/0000-0002-0879-9983
Chris CogginsFaculty in Geography and Asian Studies, Bard College at Simon's Rock, Great Barrington, MA, USA.
C Y JimDepartment of Social Sciences, Education University of Hong Kong, Tai Po, China.ORCID http://orcid.org/0000-0003-4052-8363
Enrong YanShanghai Key Lab for Urban Ecological Processes and Eco-Restoration, East China Normal University, Shanghai, China.
Yongchuan YangKey Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing, China. ycyang@cqu.edu.cn.ORCID http://orcid.org/0000-0001-7627-7776
Zhiyao TangInstitute of Ecology, College of Urban and Environmental Sciences and Key Laboratory for Earth Surface Processes, Peking University, Beijing, China. zytang@pku.edu.cn.ORCID http://orcid.org/0000-0003-0154-6403
David B LindenmayerFenner School of Environment and Society, Australian National University, Canberra, Australian Capital Territory, Australia. david.lindenmayer@anu.edu.au.ORCID http://orcid.org/0000-0002-4766-4088

Funding

China Postdoctoral Science Foundation 2022M720254National Natural Science Foundation of China (National Science Foundation of China) 31988102National Natural Science Foundation of China (National Science Foundation of China) 32025025National Natural Science Foundation of China (National Science Foundation of China) 32071652
6 · The paper itself

Abstract

Old trees have many ecological and socio-cultural values. However, knowledge of the factors influencing their long-term persistence in human-dominated landscapes is limited. Here, using an extensive database (nearly 1.8 million individual old trees belonging to 1,580 species) from China, we identified which species were most likely to persist as old trees in human-dominated landscapes and where they were most likely to occur. We found that species with greater potential height, smaller leaf size and diverse human utilization attributes had the highest probability of long-term persistence. The persistence probabilities of human-associated species (taxa with diverse human utilization attributes) were relatively high in intensively cultivated areas. Conversely, the persistence probabilities of spontaneous species (taxa with no human utilization attributes and which are not cultivated) were relatively high in mountainous areas or regions inhabited by ethnic minorities. The distinctly different geographic patterns of persistence probabilities of the two groups of species were related to their dissimilar responses to heterogeneous human activities and site conditions. A small number of human-associated species dominated the current cohort of old trees, while most spontaneous species were rare and endemic. Our study revealed the potential impacts of human activities on the long-term persistence of trees and the associated shifts in species composition in human-dominated landscapes.

Indexed as

EcosystemMothsAnimalsChinaDatabases, FactualHumansPlant Leaves

Identifiers

PMID37169855

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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.