Evidence map›Paper›PMID 40269117›Full record

ArticleScientific reports2025

Ecosystem services scenario simulation in Guangzhou based on the FLUS-InVEST model.

Dafang Wu, Jizhen Mo, Lechun Zeng, Ping Zhou, Muyun Xie, Haobin Yuan

Abstract read
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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

6 authors.

Dafang WuSchool of Geography and Remote Sensing, Guangzhou University, Guangzhou, 510006, China.
Jizhen MoSchool of Geography and Remote Sensing, Guangzhou University, Guangzhou, 510006, China. 2001500032@e.gzhu.edu.cn.
Lechun ZengLand Development and Regulation Center of Guangdong Province, Guangzhou, 510620, Guangdong, China.
Ping ZhouKey Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou, 510070, China.
Muyun XieSchool of Geography and Remote Sensing, Guangzhou University, Guangzhou, 510006, China.
Haobin YuanGuangdong Guangliang Land Real Estate Appraisal & Planning Co., Ltd., Dongguan, 523000, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The sustainable development of the region cannot be separated from the support of ecosystem services. By investigating the effects of potential land use and land cover change (LUCC) on these services in different scenarios, we can work towards protecting the ecological environment of urban areas, thus promoting the sustainable development of the region. This paper simulates the natural, ecological and development scenarios of Guangzhou in 2035 using the FLUS model based on LUCC of Guangzhou from 2015 to 2020; on top of the three scenarios, calculates the physical quantities of three ecosystem services-annual water yield, habitat quality, and carbon storage, through the InVEST model; and uses the GeoDetector model to identify the influencing Drivers. (1) Compared to 2020, the different land use types will change differently under the three scenarios in 2035; (2) The spatial distribution of ecosystem services in Guangzhou for the years 2020 and 2035 show similar patterns across three scenarios; (3) Based on the analysis of the driving factors behind Land Use and Land Cover Change (LUCC) in Guangzhou, it has been observed that population density has the most significant impact on LUCC.

Indexed as

Ecosystem servicesFLUS modelGeoDetectorGuangzhouInVEST model

Identifiers

PMID40269117
PMCPMC12018969

What OpenQuestion holds

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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.