Evidence map›Paper›PMID 39424904›Full record

ArticleScientific reports2024

Effects of land use change on runoff depth in the Songnen Plain, China.

Zhong Lu, Jinliang Zhang, Chaoqun Li, Zhiqiang Dong, Guoping Lei, Ziyang Yu

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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

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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.

Zhong LuYellow River Engineering Consulting Co., Ltd, Zhengzhou, 450003, Henan province, China.
Jinliang ZhangYellow River Engineering Consulting Co., Ltd, Zhengzhou, 450003, Henan province, China.
Chaoqun LiYellow River Engineering Consulting Co., Ltd, Zhengzhou, 450003, Henan province, China. 15737132125@126.com.
Zhiqiang DongChina Railway Engineering Group Co, Beijing, 100039, China.
Guoping LeiSchool of Humanities and Law, Northeastern University, Shenyang, 110167, Liaoning province, China.
Ziyang YuSchool of Humanities and Law, Northeastern University, Shenyang, 110167, Liaoning province, China.

Funding

China Postdoctoral Science Foundation's 74th Top Grant 2023M741323National Key R&D Projects for the 14th Five-Year Plan Foundation of China 2022YFC3202405Open Foundation of the Key Laboratory of Natural Resource Coupling Process and Effects 2023KFKTB004
6 · The paper itself

Abstract

Climate change and human activities both have a considerable impact on runoff depth, which are important parts of a changing ecosystem. Nevertheless, the main focus of hydrological response research has been on investigating the impact of climate change on the depth of runoff. In contrast, there has been limited emphasis on comprehending the precise mechanisms through which changes in land use, in relation to human activities, influence runoff depth. This paper employs the MIKE SHE/MIKE 11 model to simulate surface runoff in the study area from 1980 to 2020, assesses the effects of climate change and land use change on runoff depth using the runoff reduction method, and quantifies the influence of land use change on runoff depth through a spatio-temporal geographically weighted regression model. This study indicates that during the past 40 years, the average runoff depth in the Songnen Plain was 36.26 mm, exhibiting a tendency of 'increasing-decreasing-increasing'. The impact of climate change on surface runoff depth is more substantial than that of land use change. During the impact period 1, the runoff depth diminished by 19.07 mm, with climate change contributing to a decrease of 15.89 mm (83.31% contribution). In the impact period 2, the runoff depth increased by 7.49 mm relative to the baseline period, with climate change leading to an increase of 12.73 mm (70.84% contribution). Changes in various land types within the watershed can be used to observe the influence of human activities on runoff depth. More precisely, a 10% rise in the rate of change of construction land, dry land, and unoccupied land results in an increase in runoff depth of 6.21 mm, 2.45 mm, and 1.14 mm, respectively. Conversely, a 10% rise in the rate of alteration of marsh, paddy, and forest land leads to a reduction in the depth of runoff by 9.49 mm, 6.46 mm, and 3.07 mm, respectively. This research can contribute to improving the efficiency of water and land resource utilization and optimizing land resource governance.

Indexed as

Impact mechanismLand use/Cover change (LUCC)MIKE SHE/MIKE 11 modelRunoff depthSongnen Plain

Identifiers

PMID39424904
PMCPMC11489404

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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.