中国地理科学(英文版) ›› 2012, Vol. 22 ›› Issue (2): 232-244.

• 论文 • 上一篇    下一篇

Agricultural Land Use Optimal Allocation System in Developing Area: Application to Yili Watershed, Xinjiang Region

ZHANG Ying1, 2, ZHANG Hongqi1, NI Dongying3, SONG Wei1   

  1. (1. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101,China; 2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China;3. Beijing Forestry University, Beijing 100083, China)
  • 出版日期:2012-03-05 发布日期:2012-04-10

Agricultural Land Use Optimal Allocation System in Developing Area: Application to Yili Watershed, Xinjiang Region

ZHANG Ying1, 2, ZHANG Hongqi1, NI Dongying3, SONG Wei1   

  1. (1. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101,China; 2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China;3. Beijing Forestry University, Beijing 100083, China)
  • Online:2012-03-05 Published:2012-04-10

摘要:

In developing countries, land productivity involves little market, where the agricultural land use is mainly determined by the food demands as well as the land suitability. The land use pattern will not ensure everywhere enough land for certain cropping if spatial allocation just according to land use suitability. To solve this problem, a subzone and a pre-allocation for each land use are added in spatial allocation module, and land use suitability and area optimization module are incorporated to constitute a whole agricultural land use optimal allocation (ALUOA) system. The system is developed on the platform .Net 2005 using ArcGIS Engine (version 9.2) and C# language, and is tested and validated in Yili watershed of Xinjiang Region on the newly reclaimed area. In the case study, with the help of soil data obtained from 69 points sampled in the fieldwork in 2008, main river data supplied by the Department of Water Resources of Xinjiang Uygur Autonomous Region in China, and temperature data provided by Data Center for Resources and Environmental Sciences, Chinese Academy of Sciences, land use suitability on eight common crops are evaluated one by one using linear weighted summation method in the land use suitability model. The linear programming (LP) model in area optimization model succeeds to give out land area target of each crop under three scenarios. At last, the land use targets are allotted in space both with a six subzone file and without a subzone file. The results show that the land use maps with a subzone not only ensure every part has enough land for every crop, but also gives a more fragmental land use pattern, with about 87.99% and 135.92% more patches than the one without, while at the expense of loss between 15.30% and 19.53% in the overall suitability at the same time.

关键词: developing country, agricultural land, subzone, optimal allocation, Yili watershed

Abstract:

In developing countries, land productivity involves little market, where the agricultural land use is mainly determined by the food demands as well as the land suitability. The land use pattern will not ensure everywhere enough land for certain cropping if spatial allocation just according to land use suitability. To solve this problem, a subzone and a pre-allocation for each land use are added in spatial allocation module, and land use suitability and area optimization module are incorporated to constitute a whole agricultural land use optimal allocation (ALUOA) system. The system is developed on the platform .Net 2005 using ArcGIS Engine (version 9.2) and C# language, and is tested and validated in Yili watershed of Xinjiang Region on the newly reclaimed area. In the case study, with the help of soil data obtained from 69 points sampled in the fieldwork in 2008, main river data supplied by the Department of Water Resources of Xinjiang Uygur Autonomous Region in China, and temperature data provided by Data Center for Resources and Environmental Sciences, Chinese Academy of Sciences, land use suitability on eight common crops are evaluated one by one using linear weighted summation method in the land use suitability model. The linear programming (LP) model in area optimization model succeeds to give out land area target of each crop under three scenarios. At last, the land use targets are allotted in space both with a six subzone file and without a subzone file. The results show that the land use maps with a subzone not only ensure every part has enough land for every crop, but also gives a more fragmental land use pattern, with about 87.99% and 135.92% more patches than the one without, while at the expense of loss between 15.30% and 19.53% in the overall suitability at the same time.

Key words: developing country, agricultural land, subzone, optimal allocation, Yili watershed