Diagnosing and Predicting the Earth’s Health via Ecological Network Analysis
Joint Authors
Fang, Kuan
Wang, Xueqi
Xu, Xiang
Liu, Chuang
Zhang, Kui
Sun, Ye
Zhang, Zi-Ke
Zhang, Chu-Xu
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-31
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Ecological balance is one of the most attractive topics in biological, environmental, earth sciences, and so on.
However, due to the complexity of ecosystems, it is not easy to find a perfect way to conclusively explain all the potential impacts.
In this paper, by considering several important elements, we seek to build a dynamic network model to predict the Earth’s health, trying to identify and explain how the human behavior and policies affect the model results.
We firstly empirically analyze both the topological properties and time-dependent features of nodes and propose an Earth’s health index based on Shannon Entropy.
Secondly, we identify the importance of each element by a machine learning approach.
Thirdly, we use a spreading model to predict the Earth’s health.
Finally, we integrate the topological property and the proposed health index to identify the influential nodes in the observed ecological network.
Experimental results show that the oceans are the key nodes in affecting the Earth’s health, and Big countries are also important nodes in influencing the Earth’s health.
In addition, the results suggest a possible solution that returning more living lands might be an effective way to solve the dilemma of ecological balance.
American Psychological Association (APA)
Zhang, Zi-Ke& Sun, Ye& Zhang, Chu-Xu& Fang, Kuan& Xu, Xiang& Liu, Chuang…[et al.]. 2013. Diagnosing and Predicting the Earth’s Health via Ecological Network Analysis. Discrete Dynamics in Nature and Society،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-495025
Modern Language Association (MLA)
Zhang, Zi-Ke…[et al.]. Diagnosing and Predicting the Earth’s Health via Ecological Network Analysis. Discrete Dynamics in Nature and Society No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-495025
American Medical Association (AMA)
Zhang, Zi-Ke& Sun, Ye& Zhang, Chu-Xu& Fang, Kuan& Xu, Xiang& Liu, Chuang…[et al.]. Diagnosing and Predicting the Earth’s Health via Ecological Network Analysis. Discrete Dynamics in Nature and Society. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-495025
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-495025