Evidence map›Paper›PMID 32651358›Full record

ArticleNature communications2020

Gainers and losers of surface and terrestrial water resources in China during 1989-2016.

Xinxin Wang, Xiangming Xiao, Zhenhua Zou, Jinwei Dong, Yuanwei Qin, Russell B Doughty, Michael A Menarguez, Bangqian Chen, Junbang Wang, Hui Ye and 4 more

Abstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Human imprints on global riverfronts.Nature communications · 2026
    Article
  2. Article
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  4. Landscape changes elevate the risk of avian influenza virus diversification and emergence in the East Asian-Australasian Flyway.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Warming climate and water withdrawals threaten river flow connectivity in China.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. The Tibetan Antelope Population Depends on Lakes on the Tibetan Plateau.Animals : an open access journal from MDPI · 2023
    Article
  11. Article
  12. Article
  13. 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.

Xinxin WangCoastal Ecosystems Research Station of the Yangtze River Estuary, Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Institute of Biodiversity Science, School of Life Sciences, Fudan University, Shanghai, 200438, China.
Xiangming XiaoDepartment of Microbiology and Plant Biology, Center for Spatial Analysis, University of Oklahoma, Norman, OK, 73019, USA. xiangming.xiao@ou.edu.ORCID http://orcid.org/0000-0003-0956-7428
Zhenhua ZouDepartment of Geographical Sciences, University of Maryland, College Park, MD, 20742, USA.
Jinwei DongKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.ORCID http://orcid.org/0000-0001-5687-803X
Yuanwei QinDepartment of Microbiology and Plant Biology, Center for Spatial Analysis, University of Oklahoma, Norman, OK, 73019, USA.ORCID http://orcid.org/0000-0002-5181-9986
Russell B DoughtyDepartment of Microbiology and Plant Biology, Center for Spatial Analysis, University of Oklahoma, Norman, OK, 73019, USA.ORCID http://orcid.org/0000-0001-5191-2155
Michael A MenarguezLinkedIn Corporation, Sunnyvale, CA, 94085, USA.
Bangqian ChenRubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, 571737, Danzhou, Hainan, China.
Junbang WangKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
Hui YeKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
Jun MaCoastal Ecosystems Research Station of the Yangtze River Estuary, Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Institute of Biodiversity Science, School of Life Sciences, Fudan University, Shanghai, 200438, China.ORCID http://orcid.org/0000-0003-3412-7766
Qiaoyan ZhongCoastal Ecosystems Research Station of the Yangtze River Estuary, Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Institute of Biodiversity Science, School of Life Sciences, Fudan University, Shanghai, 200438, China.
Bin ZhaoCoastal Ecosystems Research Station of the Yangtze River Estuary, Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Institute of Biodiversity Science, School of Life Sciences, Fudan University, Shanghai, 200438, China.
Bo LiCoastal Ecosystems Research Station of the Yangtze River Estuary, Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Institute of Biodiversity Science, School of Life Sciences, Fudan University, Shanghai, 200438, China. bool@fudan.edu.cn.ORCID http://orcid.org/0000-0002-0439-5666

Funding

Transmission dynamics and spillover of avian influenza under changing agriculturaR01AI101028 · NIAID · UNIVERSITY OF OKLAHOMA · PI XIAO, XIANGMING · 2013 to 2016
$1.9M
NIAID NIH HHS R01 AI101028
6 · The paper itself

Abstract

Data and knowledge of the spatial-temporal dynamics of surface water area (SWA) and terrestrial water storage (TWS) in China are critical for sustainable management of water resources but remain very limited. Here we report annual maps of surface water bodies in China during 1989-2016 at 30m spatial resolution. We find that SWA decreases in water-poor northern China but increases in water-rich southern China during 1989-2016. Our results also reveal the spatial-temporal divergence and consistency between TWS and SWA during 2002-2016. In North China, extensive and continued losses of TWS, together with small to moderate changes of SWA, indicate long-term water stress in the region. Approximately 569 million people live in those areas with deceasing SWA or TWS trends in 2015. Our data set and the findings from this study could be used to support the government and the public to address increasing challenges of water resources and security in China.

Indexed as

Conservation of Natural ResourcesEcosystemWater ResourcesAlgorithmsChinaClimateEcologyEnvironmental MonitoringFresh WaterGeographyWaterWater

Identifiers

PMID32651358
PMCPMC7351719

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.