Evidence map›Paper›PMID 40301523›Full record

ArticleScientific reports2025

Evaluation of the synergistic change in cultivated land and wetland in northeast China from 1990 to 2035.

Mengjing Li, Wei Ye, Ya-Juan Li, Chenfeng Cui

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 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.

Mengjing LiCollege of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Wei YeCollege of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China. tks_yw@126.com.
Ya-Juan LiTianjin Research Institute for Water Transport Engineering, M.O.T., Tianjin, 300456, China.
Chenfeng CuiCollege of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China.

Funding

"Scientists + engineers" team of intelligent monitoring and decision for managing irrigation of crops in irrigated farmland NO.:2024QCY-KXJ-093the Establishment and Application of an Evaluation Index System for Ecosystem Health in Muddy Coastal Bays TKS20210211
6 · The paper itself

Abstract

Wetlands are the most biodiverse ecological landscape in nature and one of the most important natural resources for human beings. In recent years, wetlands in northeast China have been increasingly converted into cultivated land, resulting in significant reduction in wetland area. Currently, the extensive and prolonged use of natural resources, combined with mismanagement and climate change, presents considerable challenges for both governments and future sustainability. This study utilized the PLUS model to analyze the spatial-temporal transformation of cultivated land and wetland in northeast China over the past 30 years and to project land use changes from 2020 to 2035. The analysis quantitatively evaluated the impacts of human activities and climate change. The results showed that: (1) Wetlands in northeast China have been progressively converted into paddy fields or degraded into unused land. (2) Topography, GDP, and temperature are the primary drivers of land use change over the past three decades. (3) There is an urgent need for national macro-policy regulation to mitigate the degradation of cultivated land and wetlands through the rational allocation of land resources.

Indexed as

Climate changeHuman activitiesLand allocationLand use changePLUS model

Identifiers

PMID40301523
PMCPMC12041561

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.