干旱区生态环境知识资源中心(Arid): 西北旱区农业水土资源空间变异特征研究

Arid

	西北旱区农业水土资源空间变异特征研究
其他题名	Spatial variability of agricultural water and soil resources of northwest arid area
	董艳; 章慧; 张慧荟; 张青峰
来源期刊	干旱地区农业研究
ISSN	1000-7601
出版年	2018
卷号	36 期号:2 页码:205-209
中文摘要	农业水土资源是人类赖以生存的物质基础。为合理利用和开发西北旱区农业水土资源,利用经典统计学和地统计学方法研究了其水资源指数和耕地资源指数的空间变异特征。结果表明: 西北旱区水资源指数和耕地资源指数均具有中等变异性特征,其半方差最优拟合模型分别是高斯模型和指数模型,且均呈现空间不均衡分布,分别具有较强和中等空间相关性,其空间变异主要受结构性因子的影响。研究结果不仅可为西北旱区农业水土资源的配置、高效利用和优化提供依据,也为在较大研究范围内开展空间因子变异特征研究提供了方法参考。
英文摘要	Agricultural water and soil resources are the basis of food production for human beings. Based on classical statistics and geostatistics analysis,spatial variability of water resources index (WRI) and arable land resources index (ALRI) in Northwest Arid Area were investigated to illustrate their spatial distribution. Results showed that both WRI and ALRI had the medium variability,and the best-fitting semi-variogram model was a Gaussian model and Exponential model,respectively. Simultaneously,the WRI and ALRI were spatially irregular distributed with strong and medium spatial correlation characteristics,respectively. Results of this study not only reveal the spatial variability of agricultural water and arable land resources of Northwest Arid Area,hence can be taken as a theoretical foundation to guide future optimization and utilization of agricultural water & soil resources in this area. Also,it established a novel methodology for spatial variability of spatial elements in a large-scale area,such as the Northwest Arid Area.
中文关键词	农业水土资源 ; 空间变异 ; 半变异函数 ; 西北旱区
英文关键词	agricultural water & soil resources spatial variability semivariogram northwest arid area
语种	中文
国家	中国
收录类别	CSCD
WOS类目	ECONOMICS
WOS研究方向	Business & Economics
CSCD记录号	CSCD:6229571
来源机构	西北农林科技大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/237543
作者单位	西北农林科技大学资源环境学院, 杨凌, 陕西 712100, 中国
推荐引用方式 GB/T 7714	董艳,章慧,张慧荟,等. 西北旱区农业水土资源空间变异特征研究[J]. 西北农林科技大学,2018,36(2):205-209.
APA	董艳,章慧,张慧荟,&张青峰.(2018).西北旱区农业水土资源空间变异特征研究.干旱地区农业研究,36(2),205-209.
MLA	董艳,et al."西北旱区农业水土资源空间变异特征研究".干旱地区农业研究 36.2(2018):205-209.