Evidence map›Paper›PMID 41394186›Full record

ArticleEcology and evolution2025

Integrating MaxEnt and PLUS for Predictive Modeling of Mangrove Suitability and Land Use Impacts in Coastal Guangdong, China.

Zixin Liang, Lihao Yao, Ruoying Tang, Geza Varady, Rui Zhang

Abstract read
In one paragraph

Article in Ecology and evolution, 2025. 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

5 authors.

Zixin LiangCollege of Coastal Agricultural Sciences Guangdong Ocean University Zhanjiang China.ORCID https://orcid.org/0000-0002-6621-8841
Lihao YaoCollege of Coastal Agricultural Sciences Guangdong Ocean University Zhanjiang China.
Ruoying TangCollege of Coastal Agricultural Sciences Guangdong Ocean University Zhanjiang China.
Geza VaradyFaculty of Engineering and Information Technology University of Pécs Pécs Hungary.
Rui ZhangCollege of Coastal Agricultural Sciences Guangdong Ocean University Zhanjiang China.ORCID https://orcid.org/0009-0009-9289-6281

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mangroves, as one of the most efficient carbon-sequestering ecosystems globally, provide critical ecological services including coastal protection, water purification, and biodiversity conservation. This study integrates remote sensing and ecological modeling to assess the spatial-temporal dynamics and restoration potential of mangroves in coastal Guangdong, China, under alternative socioeconomic pathways. Using Sentinel-2 imagery and hybrid classification, we mapped the 2020 mangrove distribution with high accuracy, estimating a total area of 110.28 km

Indexed as

ecological patternGuangdong mangrovesMaxEnt modelPLUS modelurban land use change

Identifiers

PMID41394186
PMCPMC12696338

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.