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土地资源约束下农业生产适应性评价及承载规模研究
引用本文:郭仙,叶涛.土地资源约束下农业生产适应性评价及承载规模研究[J].现代农业科技,2023(11).
作者姓名:郭仙  叶涛
作者单位:新疆兵团勘测设计院(集团)有限责任公司,新疆兵团勘测设计院(集团)有限责任公司
摘    要:在适应性评价阶段,对影响农业生产的因素进行全面分析是保障评价结果可靠性的基础。本文提出土地资源约束下农业生产适应性评价及承载规模研究。以某某实际的土地资源为研究对象,在初步了解其基础信息后,分别土地资源、水文条件、气候环境以及生态条件四个方面对研究地区土地资源特征进行分析,构建了以单个指标为核心的等级划分标准,借助DEM(Digital Evaluation model,数字高程模型)确定了不同划分尺度下的土地面积大小。通过融合土地资源、水文条件、气候环境因素的分析结果,构建了评价矩阵,利用生态条件对评价结果进行修正,实现对农业生产适应性的客观评价,得到生产适宜区的面积为368312.48hm2,占评价总面积的51.19%;通过叠加不同影响因素的生产条件,得到研究区域的承载规模,面积为664944.39hm2,占评价面积95.97%。

关 键 词:农业生产  适应性  承载规模  土地资源  水文条件  气候环境  生态条件  
收稿时间:2022/10/12 0:00:00
修稿时间:2022/10/12 0:00:00

Study on the adaptability evaluation and carrying capacity of agricultural production under the constraints of land resources
Abstract:In the adaptive evaluation stage, a comprehensive analysis of the factors affecting agricultural production is the basis for ensuring the reliability of the evaluation results. This paper puts forward a study on the adaptability evaluation and carrying capacity of agricultural production under the constraints of land resources. Taking the actual land resources of a certain area as the research object, after the preliminary understanding of its basic information, the characteristics of land resources in the study area are analyzed in four aspects: land resources, hydrological conditions, climatic environment and ecological conditions, and a grading standard with a single index as the core is constructed. With the help of DEM (Digital Evaluation Model), the land area under different division scales is determined. By integrating the analysis results of land resources, hydrological conditions, climate and environmental factors, an evaluation matrix was constructed, and the evaluation results were modified by using ecological conditions to achieve an objective evaluation of agricultural production adaptability. The area of the suitable production area was 368312.48hm2, accounting for 51.19% of the total area evaluated; The bearing capacity of the study area is 664944.39hm2, accounting for 95.97% of the assessed area, by superimposing the production conditions of different influencing factors.
Keywords:Agricultural production  Adaptability  Bearing capacity  Land resources  Hydrological conditions  Climate environment  Ecological conditions  
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