Evidence map›Paper›PMID 41792168›Full record

ArticleNature communications2026

African inland wetland area on the rise during the 21st century.

Anzhen Li, Shengbo Chen, Kaishan Song, Yuanzhi Zhang, Zongming Wang, Dehua Mao

Abstract read
In one paragraph

Article in Nature communications, 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

6 authors.

Anzhen LiCollege of Geo-Exploration Science and Technology, Jilin University, Changchun, China.ORCID http://orcid.org/0009-0004-2188-3241
Shengbo ChenCollege of Geo-Exploration Science and Technology, Jilin University, Changchun, China. chensb@jlu.edu.cn.ORCID http://orcid.org/0000-0002-5399-709X
Kaishan SongState Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China.
Yuanzhi ZhangSchool of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing, China. yzhang209@nuist.edu.cn.
Zongming WangState Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China.ORCID http://orcid.org/0000-0002-9865-8235
Dehua MaoState Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China.

Funding

Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology) 2020YFA0714103
6 · The paper itself

Abstract

Wetlands face threats from climate change and human activities worldwide, yet the status of African wetlands remains unknown. This study mapped African wetlands and assessed area loss, drivers, and future trends under climate change using 270,000 sampling points, 810,000 Landsat images, and soil moisture data from 14 CMIP6 models. The results reveal no large-scale loss of wetlands in Africa from 1984 to 2021 (0.51% net loss), with the loss concentrated in coastal areas (9.64% net loss), while inland wetlands show a slight increase in area (0.50% net increase). A comparison of the time series of wetland area and related drivers showed that the change of inland wetland area is closely related to climate change, and human activities have exacerbated the loss of coastal wetlands. TOPMODEL projections suggest an upward trend in inland wetland area by 2100, but uncertainty persists and inland wetlands remain at risk of loss in the future.

Identifiers

PMID41792168
PMCPMC13096438

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.