Evidence map›Paper›PMID 42013183›Full record

ArticlePloS one2026

Identifying driving mechanisms and threshold effects of trade-offs and synergies among ecosystem services: A case study of Henan Province, China.

Doudou Dong, Chunyi Li, Jun Du, Xu Yang

Abstract read
In one paragraph

Article in PloS one, 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

4 authors.

Doudou DongSchool of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, China.
Chunyi LiSchool of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, China.
Jun DuInstitute of Geographical Sciences, Henan Academy of Sciences, Zhengzhou, China.
Xu YangInstitute of Geographical Sciences, Henan Academy of Sciences, Zhengzhou, China.ORCID https://orcid.org/0009-0009-1541-5819

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ecosystem services (ESs) exhibit complex interactions with multiple driving factors, including human activities, climate change, land use, soil erosion, and slope. Henan Province faces ecological challenges such as water scarcity, soil erosion, and biodiversity degradation. Using Henan Province as a case study, this research integrates multi-source data and various models to quantify ESs, identify interrelationships among them, investigate the driving factors influencing these relationships, and determine thresholds for key driving factors from 2000 to 2020. The findings indicate that: (1) ESs in Henan Province showed both trade-offs and synergies. (2) Except for 2010, the key factors of ESs trade-off relationships were only slope, land use; the key factors for the synergies and trade-offs in 2000 and 2020, and the synergies in 2010, were all slope, precipitation (pre), land use, and rainfall erosion (R). Slope, pre, land use, and R maintained strong correlations with ESs synergies and trade-offs throughout the three periods. (3) Land use types showed different correlations with the trade-offs and synergies of ESs pairs, while unused land had no significant correlation. R exhibited two discontinuous sensitive intervals or a single threshold over the three years; slope and pre showed specific sensitive intervals only in 2010 and 2020. Within these thresholds or intervals, the direction of correlation between each factor and ESs pairs reversed.

Indexed as

Conservation of Natural ResourcesEcosystemBiodiversityChinaClimate ChangeHumansRainSoil Erosion

Identifiers

PMID42013183
PMCPMC13099101

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.