Indirect effects among biodiversity loss of mutualistic ecosystems

被引:0
|
作者
Guangwei Wang [1 ,2 ]
Xueming Liu [1 ]
Guanrong Chen [3 ]
Hai-Tao Zhang [1 ,2 ]
机构
[1] School of Artificial Intelligence and Automation,Key Laboratory of Image Processing and Intelligent Control,Huazhong University of Science and Technology
[2] State Key Lab of Digital Manufacturing Equipment and Technology,Huazhong University of Science and Technology
[3] Department of Electrical Engineering,City University of Hong Kong
基金
中国国家自然科学基金;
关键词
D O I
暂无
中图分类号
Q16 [保护生物学];
学科分类号
071012 ; 0713 ; 090705 ;
摘要
Drastic reduction in biodiversity has been a severe threat to ecosystems,which is exacerbated when losing few species leads to disastrous and even irreparable consequences.Therefore,revealing the mechanism underlying biodiversity loss is of uttermost importance.In this study,we show that abundant indirect interactions among mutualistic ecosystems are critical in determining species’ status.Combining topological and ecological characteristics,we propose an indicator derived from a dynamic model to identify keystone species and quantify their influence,which outperforms widely-used indicators like degree in realistic and simulated networks.Furthermore,we demonstrate that networks with high modularity,heterogeneity,biodiversity,and less intimate interactions tend to have larger indirect etrects,which are more amenable in predicting decline of biodiversity with the proposed indicator.These findings shed some light onto the influence of apposite biodiversities,paving the way from complex network theory to ecosystem protection and restoration.
引用
收藏
页码:126 / 136
页数:11
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