Evidence map›Paper›PMID 42514516›Full record

ArticlePlants (Basel, Switzerland)2026

Trade-Offs and Synergies Among Ecosystem Services Influenced by Forest Type and Their Implications for Spatial Management in the Upper Minjiang River Basin, China.

Lifang Hong, Guochun Zhang, Nan Cong, Mengyuan Bai, Ping Ren, Jiangtao Xiao

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Lifang HongKey Lab of Land Resources Evaluation and Monitoring in Southwest China (Ministry of Education), School of Geography and Resource Sciences, Sichuan Normal University, Chengdu 610066, China.
Guochun ZhangSichuan Provincial Institute of Forestry and Grassland Inventory and Planning, Chengdu 610081, China.
Nan CongCAS Key Laboratory of Ecosystem Network Observation and Modeling, Lhasa Plateau Ecosystem Research Station, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Mengyuan BaiKey Lab of Land Resources Evaluation and Monitoring in Southwest China (Ministry of Education), School of Geography and Resource Sciences, Sichuan Normal University, Chengdu 610066, China.
Ping RenKey Lab of Land Resources Evaluation and Monitoring in Southwest China (Ministry of Education), School of Geography and Resource Sciences, Sichuan Normal University, Chengdu 610066, China.
Jiangtao XiaoKey Lab of Land Resources Evaluation and Monitoring in Southwest China (Ministry of Education), School of Geography and Resource Sciences, Sichuan Normal University, Chengdu 610066, China.ORCID 0000-0002-1373-5829

Funding

National Natural Science Foundation of China 41801185Science and Technology Department of Sichuan Province 2023NSFSC1979Sichuan Normal University TDSYS202312
6 · The paper itself

Abstract

The Upper Minjiang River Basin is a critical ecological barrier in the upper Yangtze River, where forest ecosystems play a vital role in carbon sequestration, water conservation, and soil retention. Given that different forest types exhibit significant variations in community structure, species composition, and ecological processes, their ecosystem service (ES) supplies and trade-off/synergy relationships are also expected to show distinct heterogeneity. However, systematic research on the trade-offs and synergies of ESs across different forest types remains limited, constraining the development of precision forest management and differentiated management strategies. To deal with this, we used the InVEST model and calculated five key services across the basin: carbon stock (CS), water yield (WY), soil conservation (SC), habitat quality (HQ), and forest stock volume (FSV). We then applied Spearman's correlation, root mean square deviation (RMSD), and the GeoDetector model to analyze trade-offs and uncover driving mechanisms. Finally, we used spatially constrained K-means clustering to map different management zones. The results indicate that the Upper Minjiang River Basin stored 1.78 × 10

Indexed as

forest ESsspatially constrained K-meanstrade-offs and synergiesUpper Minjiang River Basin

Identifiers

PMID42514516
PMCPMC13414793

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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.