A multi-criteria evaluation system for arable land resource assessment
Li, F., Liu, W., Lu, Z., Mao, L., & Xiao, Y. (2020). A multi-criteria evaluation system for arable land resource assessment. Environmental Monitoring and Assessment, 192, Article 79. https://doi.org/10.1007/s10661-019-8023-x
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Environmental Monitoring and AssessmentDate
2020Copyright
© 2020 the Author(s)
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.
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SpringerISSN Search the Publication Forum
0167-6369Keywords
Publication in research information system
https://converis.jyu.fi/converis/portal/detail/Publication/34154224
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Academy of FinlandFunding program(s)
Postdoctoral Researcher, AoF
Additional information about funding
Open access funding provided by University of Jyväskylä (JYU). This work was supported by the Science Project of Science and Technology Commission of Shanghai Municipality (No. 15dz1208103), Academy of Finland (Grant No. 295709), and Taishan Scholar Foundation of Shandong Province (No. tsqn201909126).License
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