Evidence map›Paper›PMID 41152365›Full record

ArticleScientific reports2025

Mapping spatiotemporal variations in lakeside populations for sustainable lake management.

Yuhan Sun, Lumeng Liu, Zhuoen Liu

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. Not yet cited in PubMed.

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

3 authors.

Yuhan SunJiangsu Key Laboratory of Soil and Water Processes in Watershed, College of Geography and Remote Sensing, Hohai University, Nanjing, 211100, China.
Lumeng LiuJiangsu Key Laboratory of Soil and Water Processes in Watershed, College of Geography and Remote Sensing, Hohai University, Nanjing, 211100, China. liulumeng@hhu.edu.cn.
Zhuoen LiuCollege of Ocean and Earth Sciences , Xiamen University , Xiamen, 361000, China.

Funding

National Natural Science Foundation of China 42401370the Fundamental Research Funds for the Central Universities B240201068the MOE (Ministry of Education in China) Liberal arts and Social Sciences Foundation 24YJCZH174the Natural Science Foundation of Jiangsu Province BK20241536
6 · The paper itself

Abstract

Lakes provide a range of essential ecosystem services and disservices, with their impacts on human well-being closely tied to the spatial proximity between populations and lakes. However, the extent and dynamics of human exposure to lakes remain poorly understood at large scales. In this study, we present a comprehensive spatiotemporal analysis of lakeside populations (LP) across mainland China from 2000 to 2020, evaluating exposure patterns at national, regional, and provincial levels within multiple distance buffers from lakes. We further disentangle the relative contributions of population growth and lake area changes to LP dynamics using a control-variable approach. We found that (1) In 2020, 33.59 million, 18.04 million, 10.47 million, 7.24 million, and 3.59 million people lived within 2000 m, 1000 m, 500 m, 300 m, and 100 m of a lake, respectively, with the highest concentrations observed in the Eastern Plain and around small lakes. (2) Despite the regionally varied temporal dynamics, LP in China showed an overall increasing trend within 500 m, 1000 m, and 2000 m of lakes, but decreased during some periods within 100 m and 300 m buffers. (3) Between 2000 and 2020, LP changes in 70.37% of the examined provinces were dominantly impacted by lake area changes, particularly in northwest and southwest China. Yet, the main direct influencing factors changed dynamically during different periods. The increasing LP in China creates both opportunities and challenges for sustainable lake management. The spatiotemporal variability of LP dynamics highlights the necessity for scale-dependent and region-specific management strategies.

Indexed as

ChinaHuman-environment interactionLakeLakeside populationsMulti-scale

Identifiers

PMID41152365
PMCPMC12569174

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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.