A qualitative network model for understanding regional metabolism in the context of Social-Economic-Natural Complex Ecosystem theory
文献类型：期刊论文
| 作者 | Yao, Liang; Liu, Jingru; Wang, Rusong; Yin, Ke; Han, Baolong |
| 刊名 | ECOLOGICAL INFORMATICS
 |
| 出版日期 | 2015-03 |
| 卷号 | 26期号:1页码:29-34 |
| 关键词 | SENCE theory Qualitative network models Regional metabolism Sustainability |
| 英文摘要 | In Social Economic Natural Complex Ecosystem (SENCE) theory, regional metabolism is seen as an integral part of a complex network of interconnected natural, economic and societal subsystems. Analyzing regional metabolism within this network assists observers to understand the concept in a broader context. Some qualitative tools such as simple matrix operations have been adopted to explore such networks but related. research is highly fragmented. Here the emphasis is put on a qualitative network model (QNM) that integrates the existing tools into a unified analytical framework. The tools in the QNM are organized into three levels: (I) dominance analysis focuses on how to measure the performance of each component of a network; (2) consistency analysis is used to test whether the interactions between network components are contradictory to the desired development direction for regional metabolism; and (3) sustainability analysis returns three sustainability benchmarks for regional metabolism. With the aid of these tools, QNM can comprehensively explore such networks from multiple perspectives. To test the QNM construct, we conducted a case study on the regional metabolism of bio-fuels from locally grown plant crops, a hotspot in regional environmental research. In the case study we screened key components for inconsistent variables, identified the relationships between components, and rated the sustainability of the regional bio-fuel metabolism system suggested by the model. This study demonstrated that our research approach can inform bio-fuel policy making. The QNM is helpful in the understanding of regional metabolism in the broader context of SENCE theory and may be used to improve regional environmental management and policy-making. (C) 2014 Elsevier B.V. All rights reserved. |
| 研究领域[WOS] | Ecology |
| WOS记录号 | WOS:000353744500005 |
| 公开日期 | 2016-03-08 |
| 源URL | [http://ir.rcees.ac.cn/handle/311016/32238]  |
| 专题 | 生态环境研究中心_城市与区域生态国家重点实验室 |
| 推荐引用方式 GB/T 7714 | Yao, Liang,Liu, Jingru,Wang, Rusong,et al. A qualitative network model for understanding regional metabolism in the context of Social-Economic-Natural Complex Ecosystem theory[J]. ECOLOGICAL INFORMATICS,2015,26(1):29-34. |
| APA | Yao, Liang,Liu, Jingru,Wang, Rusong,Yin, Ke,&Han, Baolong.(2015).A qualitative network model for understanding regional metabolism in the context of Social-Economic-Natural Complex Ecosystem theory.ECOLOGICAL INFORMATICS,26(1),29-34. |
| MLA | Yao, Liang,et al."A qualitative network model for understanding regional metabolism in the context of Social-Economic-Natural Complex Ecosystem theory".ECOLOGICAL INFORMATICS 26.1(2015):29-34. |
入库方式： OAI收割
来源：生态环境研究中心
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