Evidence map›Paper›PMID 40098676›Full record

ArticleInnovation (Cambridge (Mass.))2025

Global trends and regime state shifts of lacustrine aquatic vegetation.

Juhua Luo, Hongtao Duan, Ying Xu, Ming Shen, Yunlin Zhang, Qitao Xiao, Guigao Ni, Kang Wang, Yihao Xin, Tianci Qi and 4 more

Abstract read
In one paragraph

Article in Innovation (Cambridge (Mass.)), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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

14 authors.

Juhua LuoKey Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China.
Hongtao DuanKey Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China.
Ying XuKey Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China.
Ming ShenKey Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China.
Yunlin ZhangKey Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China.
Qitao XiaoKey Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China.
Guigao NiKey Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China.
Kang WangKey Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China.
Yihao XinKey Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China.
Tianci QiKey Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China.
Lian FengSchool of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
Yinguo QiuKey Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China.
Erik JeppesenLimnology Laboratory, Department of Biology, Middle East Technical University, Ankara 06800, Türkiye.
R Iestyn WoolwaySchool of Ocean Sciences, Bangor University, Bangor LL57 2DG, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aquatic vegetation (AV) is vital for maintaining the health of lake ecosystems, with submerged aquatic vegetation (SAV) and floating/emergent aquatic vegetation (FEAV) representing clear and shaded states, respectively. However, global SAV and FEAV dynamics are poorly understood due to data scarcity. To address this gap, we developed an innovative AV mapping algorithm and workflow using satellite imagery (1.4 million Landsat images) from 1989 to 2021 and created a global database of AV across 5,587 shallow lakes. Our findings suggest that AV covers 108,186 km

Indexed as

aquatic vegetationclimate changelimnologyregime shiftsremote sensing

Identifiers

PMID40098676
PMCPMC11910881

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.