Evidence map›Paper›PMID 41387494›Full record

ArticleScientific reports2025

Land use and land cover changes drive ecosystem services value in the Chinese county of Qianyang.

Wang Shuangao, Pedro Cabral, Yuefeng Xu, Felipe S Campos

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Wang ShuangaoBeijing Academy of Science and Technology, No.27, Beike Building Xisanhuan North Road, Haidian District, Beijing, 100089, China. h130031@e.ntu.edu.sg.
Pedro CabralNOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, Campus de Campolide, 1070-312, Lisboa, Portugal. cabral@nuist.edu.cn.
Yuefeng XuSchool of Economics, Central University of Finance and Economics, Shahe campus, Changping District, Beijing, 102206, China.
Felipe S CamposUniversitat Autònoma de Barcelona, 08193, Cerdanyola del Vallès, Spain. felipe.campos@uab.cat.

Funding

Fundação para a Ciência e a Tecnologia UIDB/04152/2020National Natural Science Foundation of China 42275028
6 · The paper itself

Abstract

Understanding how land use changes affect ecosystem services is essential for guiding sustainable development and environmental policy. In rapidly urbanizing regions, quantifying these impacts helps inform land management decisions. This study aims to analyze the impact of land use and land cover (LULC) changes on Ecosystem Services Value (ESV) in Qianyang County, China. We utilized land use data from 2007 to 2022 with a spatial resolution of 30 m. The spatial distribution and clustering of ESV were examined using spatial statistical methods. The Patch-generating Land Use Simulation (PLUS) model, which simulates LULC changes under three scenarios for 2050, was employed to calculate ESV and identify driving forces. Results show that urbanization and topography were the main driving factors for LULC changes in Qianyang County. Our findings provide valuable insights into sustainable land management and ecosystem conservation in the region.

Indexed as

Ecosystem services valueEnvironmental monitoringLandscape patternsLand use and land cover changesPLUS modelSpatial autocorrelation

Identifiers

PMID41387494
PMCPMC12770534

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.