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2019 | 28 | 4 |

Tytuł artykułu

Quantifying evaluation and grading of cultivated land fertility: a case study of Huaping, China

Autorzy

Warianty tytułu

Języki publikacji

EN

Abstrakty

EN
The level of cultivated land fertility (CLF) determines food production and quality directly. Therefore, research on evaluating CLF has always been a focus of attention in Chinese academia. Aiming at shortcomings of methods for evaluating CLF presently, this paper proposes an integrated method to evaluate and grade the CLF-adopted GIS, Delphi, analytic hierarchy process (AHP), fuzzy mathematics and comprehensive index model. Furthermore, based on data of the survey project of CLF in Huaping, this paper carried out an empirical study using this method. The result demonstrates that the methods are more scientific and reliable. This is reflected in the following aspects: First, the process of evaluation and grading of CLF is combined with qualitative analysis and quantitative analysis, which make the results more close to the objective reality. Second, the results of the evaluation and grading not only achieved a match between quantitative expression and spatial visualization, but also demonstrated the differences of CLF in quantity and space. Through this study, we hope that this method can further enrich the theory and technology of CLF evaluation to some extent, and also provide a good reference for similar study in other regions.

Słowa kluczowe

Wydawca

-

Rocznik

Tom

28

Numer

4

Opis fizyczny

p.2685-2696,fig.,ref.

Twórcy

autor
  • School of Information Science and Technology, Yunnan Normal University, Kunming, China
  • Engineering Research Center of the Ministry of Education on Geography Information Technology of Western Resource Environment, Kunming, China
autor
  • School of Information Science and Technology, Yunnan Normal University, Kunming, China
  • Engineering Research Center of the Ministry of Education on Geography Information Technology of Western Resource Environment, Kunming, China
autor
  • Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming, China

Bibliografia

  • 1. Wang L., Lv X., Liu H. Research of Evaluation on Cultivated Land Fertility in Xinjiang Desert Oasis Based on GIS Technology – Taking No. 22 State Farm as the Example, the 4th ifip international on computer and computing technologies in agriculture and the 4th symposium on development of rural information. 290, 2017.
  • 2. Huddleston J.H. Development and use of soil fertility ratings in the United States. Geoderma, 32 (4), 297, 1984.
  • 3. Yan Yifan , Liu Jianli , Zhang Jiabao Evaluation method and model analysis for fertility of cultivated land. Transactions of the Chinese Society of Agricultural Engineering, 30 (5), 204, 2014.
  • 4. Luo R., He T. Application Comparison of Two Methods in Fertility Evaluation of Cultivated Land in Mountainous Area. Shandong Agricultural Sciences, 45 (11), 91, 2013.
  • 5. Zhang Q.C., You -Hua M.A., Yang S.H.,Xiao -Gang L.I., Wang J. Evaluation of Cultivated Land Fertility in Wuhu City based on GIS. Resources &Environment in the Yangtze Basin, 25 (2), 226, 2016.
  • 6. Liu Z.W. Research on Investigation and Evaluation of Cultivated Land Fertility in Mouding County. Journal of Anhui Agricultural Sciences, 45 (31), 128, 136, 2017.
  • 7. Zhang Z.H., Ren J. Evaluation of Cultivated Land Fertility Based on GIS. Journal of Anhui Agricultural Sciences, 42 (15), 4813, 2014.
  • 8. Otgonbayar M., Atzberger C., Chambers J., Amarsaikhan D., Bock S., Tsogtbayar J. Land Suitability Evaluation for Agricultural Cropland in Mongolia Using the Spatial MCDM Method and AHP Based GIS. Journal of Environmental Protection, 05 (9), 238, 2017.
  • 9. Chen Z. Application of Fuzzy Matter Element Analysis to Cultivated Land Evaluation. Anhui Agricultural Science Bulletin, 14 (11), 55, 233, 2008.
  • 10. Zhou X., An Y.L., Xu W.C., D Mao Lin Fuzzy evaluation on soil fertility of cultivated land based on GIS and improved AHP-a Case of Puan County in Guizhou Province. Chinese Journal of Soil Science, 40 (1), 51, 2009.
  • 11. Liu C., Song Z., Song L., Xu J. GIS-based Cultivated Land Fertility with Fuzzy Variable Weight. Chinese Agricultural Science Bulletin, 28 (14), 223, 2012.
  • 12. Zhi W., Zhang X.J. Evaluation of Cultivated Land Fertility Based on GIS at County Level. Asian Agricultural Research, 04 (7), 41, 2012.
  • 13. Xie W., Zhao X.M., Guo X., Zhang J.J., Li T., Xia K. Evaluation on Cultivated Land Fertility at City Level by Using GIS. Chinese Journal of Soil Science, 46 (4), 810, 2015.
  • 14. Nie Y., Yu J., Peng Y., et al. A Comprehensive Evaluation of Soil Fertility of Cultivated Land: A GISBased Soil Basic Niche-Fitness Model. Communications in Soil Science & Plant Analysis, 47 (5), 670, 2016.
  • 15. Cetin M., Adiguzel F., Kaya O., Sahap A. Mapping of bioclimatic comfort for potential planning using GIS in Aydin. Environment, Development and Sustainability, 20 (1), 361, 2018.
  • 16. Kaya E., Agca M., Adiguzel F., Cetin M. (2018). Spatial data analysis with R programming for environment. Human and Ecological Risk Assessment: An International Journal. https://doi.org/10.1080/10807039.2018.1470896
  • 17. Wang R., Zhao G., Chen L. Evaluation model of cultivated land fertility using artificial neural network and fertility and its application. Transactions of the Chinese Society of Agricultural Engineering, 24 (1), 113, 2008.
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  • 19. Cao L.Y., Sun X., Zhao Y., Chen G. Evaluation on Soil Fertility Grade for Cultivated Land Based on Decision Trees. Journal of Northeast Forestry University, 39 (2), 93, 2011.
  • 20. Qiao -mei S.I., Song L. Application of Decision Tree in Grade Evaluation of Arable Land Fertility. Journal of Anhui Agricultural Sciences, 39 (12), 7328, 7417, 2011.
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  • 22. Cetin M., Sevik H., Canturk U., Cakir C. Evaluation of the recreational potential of Kutahya Urban Forest. Fresenius Environmental Bulletin, 27 (5), 2629, 2018.
  • 23. Cetin M., Zeren I., Sevik H., Cakir C., Akpinar H. A study on the determination of the natural park’s sustainable tourism potential. Environmental Monitoring and Assessment, 190 (3), 167, 2018.
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  • 25. Cetin M. Determination of bioclimatic comfort areas in landscape planning: A case study of Cide Coastline, Turkish Journal of Agriculture-Food Science and Technology, 4 (9), 800, 2016.
  • 26. Cetin M. Sustainability of urban coastal area management: a case study on Cide, Journal of Sustainable Forestry, 35 (7), 527, 2016.
  • 27. Cetin M. Using GIS analysis to assess urban green space in terms of accessibility: case study in Kutahya. International Journal of Sustainable Development & World Ecology, 22 (5), 420, 2015.
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  • 30. Li Haiqiang , Guo Chengjiu , Li Yong Variation characteristics of soil nutrients in sloping farmland with measures of soil and water conservation based on GIS. Research of Soil and Water Conservation, 24 (2), 43, 2017.
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Typ dokumentu

Bibliografia

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Identyfikator YADDA

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