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A multi-criteria evaluation system for arable land resource assessment

This study proposed a multi-criteria evaluation system for arable land resources by combining the soil integrated fertility index (IFI) with a soil cleanliness index (based on heavy metals and metalloid content). A total of 16 typical arable land units in Chongming District, China, were evaluated us...

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Detalles Bibliográficos
Autores principales: Li, Feipeng, Liu, Wei, Lu, Zhibo, Mao, Lingchen, Xiao, Yihua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6940353/
https://www.ncbi.nlm.nih.gov/pubmed/31897735
http://dx.doi.org/10.1007/s10661-019-8023-x
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author Li, Feipeng
Liu, Wei
Lu, Zhibo
Mao, Lingchen
Xiao, Yihua
author_facet Li, Feipeng
Liu, Wei
Lu, Zhibo
Mao, Lingchen
Xiao, Yihua
author_sort Li, Feipeng
collection PubMed
description This study proposed a multi-criteria evaluation system for arable land resources by combining the soil integrated fertility index (IFI) with a soil cleanliness index (based on heavy metals and metalloid content). A total of 16 typical arable land units in Chongming District, China, were evaluated using the proposed evaluation system based on 104 collected soil samples in 16 towns. The comprehensive soil evaluation scores of arable lands in 16 towns were in the range of 90.7 to 99.2 with a mean of 96.2, indicating that the arable land in all 16 towns was at the level of excellent (≥ 90.0). Lower cleanliness indices had a significant impact on the final evaluation score. In comparison with single-index evaluation systems (i.e., the IFI or soil cleanliness index), the proposed multi-criteria system better reflects the quality of the soil. In the practice of arable land requisition and subsidy policy, the proposed multi-criteria evaluation system not only encourages farmers to preserve arable lands during farming but also helps agricultural authorities make effective and reliable management decisions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10661-019-8023-x) contains supplementary material, which is available to authorized users.
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spelling pubmed-69403532020-01-14 A multi-criteria evaluation system for arable land resource assessment Li, Feipeng Liu, Wei Lu, Zhibo Mao, Lingchen Xiao, Yihua Environ Monit Assess Article This study proposed a multi-criteria evaluation system for arable land resources by combining the soil integrated fertility index (IFI) with a soil cleanliness index (based on heavy metals and metalloid content). A total of 16 typical arable land units in Chongming District, China, were evaluated using the proposed evaluation system based on 104 collected soil samples in 16 towns. The comprehensive soil evaluation scores of arable lands in 16 towns were in the range of 90.7 to 99.2 with a mean of 96.2, indicating that the arable land in all 16 towns was at the level of excellent (≥ 90.0). Lower cleanliness indices had a significant impact on the final evaluation score. In comparison with single-index evaluation systems (i.e., the IFI or soil cleanliness index), the proposed multi-criteria system better reflects the quality of the soil. In the practice of arable land requisition and subsidy policy, the proposed multi-criteria evaluation system not only encourages farmers to preserve arable lands during farming but also helps agricultural authorities make effective and reliable management decisions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10661-019-8023-x) contains supplementary material, which is available to authorized users. Springer International Publishing 2020-01-02 2020 /pmc/articles/PMC6940353/ /pubmed/31897735 http://dx.doi.org/10.1007/s10661-019-8023-x Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Li, Feipeng
Liu, Wei
Lu, Zhibo
Mao, Lingchen
Xiao, Yihua
A multi-criteria evaluation system for arable land resource assessment
title A multi-criteria evaluation system for arable land resource assessment
title_full A multi-criteria evaluation system for arable land resource assessment
title_fullStr A multi-criteria evaluation system for arable land resource assessment
title_full_unstemmed A multi-criteria evaluation system for arable land resource assessment
title_short A multi-criteria evaluation system for arable land resource assessment
title_sort multi-criteria evaluation system for arable land resource assessment
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6940353/
https://www.ncbi.nlm.nih.gov/pubmed/31897735
http://dx.doi.org/10.1007/s10661-019-8023-x
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