Evidence map›Paper›PMID 36191020›Full record

ArticlePloS one2022

Spatiotemporal characteristics of soil erosion in a typical watershed consisting of different landscape: A case study of the Qin River Basin.

Yanyan Li, Tianqi Rong, Mingzhou Qin, Pengyan Zhang, Dan Yang, Zhenyue Liu, Ying Zhang, Hui Zhu, Meiling Song

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

2 citing papers in PubMed.

  1. Article
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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

9 authors.

Yanyan LiCollege of Geography and Environmental Science, Henan University, Kaifeng, China.
Tianqi RongCollege of Geography and Environmental Science, Henan University, Kaifeng, China.
Mingzhou QinCollege of Geography and Environmental Science, Henan University, Kaifeng, China.ORCID 0000-0003-3900-7392
Pengyan ZhangCollege of Geography and Environmental Science, Henan University, Kaifeng, China.
Dan YangCollege of Geography and Environmental Science, Henan University, Kaifeng, China.
Zhenyue LiuCollege of Geography and Environmental Science, Henan University, Kaifeng, China.
Ying ZhangCollege of Geography and Environmental Science, Henan University, Kaifeng, China.
Hui ZhuCollege of Geography and Environmental Science, Henan University, Kaifeng, China.
Meiling SongCollege of Geography and Environmental Science, Henan University, Kaifeng, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soil erosion has a severe impact on habitat and productivity. It is considered to be a major environmental threat prevalent in ecosystems. However, few researchers have studied the spatial distribution of soil erosion intensity among different geographic environmental factors. The Qin River Basin is a geographical unit consisting of mountains, hills, and plains with significant regional characteristics, and it has a basin area of 14,810.91 km2. This study uses the Geographical Information Systems, Revised Universal Soil Loss Equation model to analyze the spatiotemporal changes in the soil-erosion intensity in the Qin River Basin from 1990 to 2018. Different environmental factors of land use, slope and altitude on erosion intensities of 19 secondary land types were analyzed. It can better reflect the soil erosion under different environmental factors and different land use types. Results show that the soil erosion modulus of Qin River Basin were 10.25 t hm-2 a-1, and it belong to slight erosion from 1990 to 2018. Soil erosion intensity is greater in grassland and woodland than in cropland. The strongest soil erosion occurred in the sparse forestland, and the lowest was in beach land. Soil erosion was the highest for a slope of 15~25° and an altitude of 1200~1500 m. Rainfall and slope are important factors lead to soil erosion, indicating weak water and soil conservation implemented in these areas. Therefore, priority should be given to these geomorphic units to formulate and implement soil-erosion control and ecological restoration policies in the Qin River Basin. This study provides a good reference for preventing and controlling soil erosion in river basins.

Indexed as

RiversSoil ErosionChinaConservation of Natural ResourcesEcosystemEnvironmental MonitoringSoilWaterSoilWater

Identifiers

PMID36191020
PMCPMC9529098

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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.