期刊
JOURNAL OF CLEANER PRODUCTION
卷 142, 期 -, 页码 985-992出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2016.03.174
关键词
Landscape diversity; Crop production; Big data; Data fusion; Shannon's index
资金
- National Natural Science Funds of China [71225005, 41171434]
- National Natural Science Foundation of International (Regional) Cooperation and Exchange Programs [71561137002]
This paper explores the relationship between landscape diversity and crop production using big data techniques. In the case study area of Hebei Province, China, there is a positive ecological effect of landscape diversity on crop production (coefficient of H (Shannon's index) and H-2 on crop production are 7.9665 and -2.2388 respectively), and a negative effect via operating cultivated land change (coefficient of H and H-2 on cultivated land change are -5.4253 and 1.5520 respectively). This negative effect is measured with big data techniques and is explained by variables such as the ratio of cultivated land and other basic local conditions. The net effect of landscape diversity on crop production is negative, all else the same, reflecting the strength of the impact through cultivated land change. Thus, it is important to adhere to a certain level of landscape diversity if crop production is to be sustained. (C) 2016 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据