Evidence map›Paper›PMID 32092917›Full record

ArticleInternational journal of environmental research and public health2020

Identification of Priority Areas for Soil and Water Conservation Planning Based on Multi-Criteria Decision Analysis Using Choquet Integral.

Haibo Zhang, Jianjun Zhang, Shouhong Zhang, Chunxue Yu, Ruoxiu Sun, Dandan Wang, Chunzhu Zhu, Jianan Zhang

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 24% of its field
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

1 citing paper in PubMed, 13 citations in OpenAlex.

  1. 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

8 authors at 2 institutions in 1 country.

Haibo ZhangSchool of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China.
Jianjun ZhangSchool of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China.
Shouhong ZhangSchool of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China.
Chunxue YuResearch Center for Eco-Environmental Engineering, Dongguan University of Technology, Dongguan 523808, China.
Ruoxiu SunSchool of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China.
Dandan WangSchool of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China.
Chunzhu ZhuSchool of Information Science & Technology, Beijing Forestry University, Beijing 100083, China.
Jianan ZhangSchool of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China.
Beijing Forestry University · CNDongguan University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soil erosion risk assessment is an essential foundation for the planning and implementation of soil and water conservation projects. The commonality among existing studies is that they considered different indicators (e.g., rainfall and slope) in order to determine the soil erosion risk; however, the majority of studies in China neglect one important indicator, namely the slope aspect. It is widely accepted that the vegetation and distribution of rainfall differs according to the different slope aspects (such as sunny slope and shady slope) and these attributes will accordingly influence the soil erosion. Thus, existing studies neglecting this indicator cannot reflect the soil erosion well. To address this problem, a flexible soil erosion risk assessment method that supports decision makers in identifying priority areas in soil and water conservation planning was developed in the present study. Firstly, in order to verify the impact of the slope aspect on soil erosion, field investigations were conducted, and its impact on the characteristics of the community in the study area was analyzed. Secondly, six assessment indicators were selected, including slope gradient, precipitation, NDVI, land use, soil texture and slope aspect. Next, a developed multi-criteria decision analysis (MCDA) method based on the Choquet integral was adopted to assess the soil erosion risk. The MCDA method, combining objective data with subjective assessment based on Choquet integral, could solve the weight problem encountered when using the quantitative method. The parameters required can be modified according to the soil erosion types, assessment scales, and data availability. The synergistic and inhibitory effects among the soil erosion parameters were also considered in the assessment. Finally, the soil erosion risk results in the Xinshui River watershed revealed that more attention should be paid to the slope of farmland and grassland during the planning and management of soil and water conservation projects. The methodology used in the current study can support decision makers in planning and implementing soil and water conservation measures in regions with different erosion types.

Indexed as

Conservation of Water ResourcesDecision Support TechniquesSoilChinaConservation of Natural ResourcesEnvironmental MonitoringSoilChoquet integralLoess Plateaumulti-criteria decision analysissoil erosion risk

Identifiers

PMID32092917
PMCPMC7068270
OpenAlexW3007596092

What OpenQuestion holds

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LicenceCC BY
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.