Delineating historical and contemporary agricultural production regions for China

IF 0.4 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
G. Veeck
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引用次数: 3

Abstract

ABSTRACT Chinese and western scholars have long drafted maps delineating China’s diverse agricultural regions. Historically, these agro-regionalization schemes were based on dominant crops, first-order soil groups, elevation, climatic variables, or some combination of these factors. However, rapid changes in supply chains, production systems and agro-technologies, including crop breeding, have significantly altered agricultural land use in recent years and blurred the boundaries of classical depictions of China’s agricultural regions. This article presents some of the most influential maps of this type for the past century, and adds a new map derived from 39 agricultural production variables selected using Principal Components Analysis (PCA) and aggregated using Ward’s hierarchical cluster analysis routine to create a final map of contemporary agricultural regions. This quantitatively derived map of agricultural production regions circa 2016 incorporates variables, such as gross production of key crops, rates of change for production, relative changes to sown area of all major crops and increased use of inputs, such as fertilizer and irrigation, and also includes two traditional classification variables: mean elevation of arable land by province and mean slope of farmland by province in recognition of geomorphological variations across the vast nation.
划定中国历史和当代的农业生产区
长期以来,中外学者都在绘制中国不同农业区域的地图。历史上,这些农业区划方案是基于优势作物、一级土壤类群、海拔、气候变量或这些因素的某种组合。然而,近年来,供应链、生产系统和农业技术(包括作物育种)的快速变化极大地改变了农业用地,模糊了中国农业区域的经典描述的界限。本文介绍了过去一个世纪中最具影响力的这类地图,并添加了一个新的地图,该地图由39个农业生产变量衍生而来,使用主成分分析(PCA)选择,并使用Ward的分层聚类分析程序进行汇总,以创建当代农业区域的最终地图。这张2016年前后农业生产区的定量衍生图包含了主要作物的总产量、产量变化率、所有主要作物播种面积的相对变化以及肥料和灌溉等投入物使用量的增加等变量,还包括两个传统分类变量:各省平均耕地高程和各省平均农田坡度,以识别广袤国家各地的地貌变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Cartography
International Journal of Cartography Social Sciences-Geography, Planning and Development
CiteScore
1.40
自引率
0.00%
发文量
13
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