Agricultural land use optimal allocation system in developing area: Application to Yili watershed, Xinjiang Region

Agricultural land use optimal allocation system in developing area: Application to Yili watershed, Xinjiang Region
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开发区农地利用优化配置体系——在新疆伊犁流域的应用

DOI:
10.1007/s11769-012-0530-4
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发表时间:
2012-03
影响因子:
3.4
通讯作者:
宋伟
宋伟
中科院分区:
地球科学3区
文献类型:
--
作者:
Zhang Ying;Zhang Hongqi;Ni Dongying;宋伟

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在发展中国家,土地生产力涉及的市场很少,农业用地的利用主要由粮食需求和土地适宜性决定。如果仅仅根据土地利用适宜性进行空间分配,土地利用格局并不能保证到处都有足够的土地用于某种作物。针对这一问题,在空间配置模块中增加分区和土地利用预分配,并结合土地利用适宜性和面积优化模块,构成了完整的农业用地优化配置(ALOUA)系统。该系统在.Net 2005平台上使用ArcGIS Engine(9.2版本)和C#语言进行开发,并在新疆伊犁流域新垦区进行了测试和验证。案例研究中,利用2008年野外调查69个点的土壤数据、新疆维吾尔自治区水利厅提供的主要河流数据以及中国科学院资源环境科学数据中心提供的气温数据,在土地利用适宜性模型中采用线性加权求和法对8种常见作物的土地利用适宜性进行一一评价。面积优化模型中的线性规划(LP)模型成功给出了三种情景下每种作物的土地面积目标。最后,土地利用目标在空间上进行分配,分为有六分区文件和无分区文件两种。结果表明,有分区的土地利用图不仅保证了每个部分都有足够的土地种植每种作物,而且土地利用格局更加碎片化,比没有分区的土地利用图块多出约87.99%和135.92%,同时整体适宜性损失了15.30%和19.53%。
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.
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发表时间: 1971
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