Resilience of hybrid herbivore–plant–pollinator networks

Author:

Wang Guangwei123ORCID,Chen Guanrong4ORCID,Zhang Hai-Tao123ORCID

Affiliation:

1. School of Artificial Intelligence and Automation, Huazhong University of Science and Technology 1 , Wuhan 430074, People’s Republic of China

2. MOE Engineering Research Center of Autonomous Intelligent Unmanned Systems, Huazhong University of Science and Technology 2 , Wuhan 430074, People’s Republic of China

3. State Key Lab of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology 3 , Wuhan 430074, People’s Republic of China

4. Department of Electrical Engineering, City University of Hong Kong 4 , Hong Kong, China

Abstract

The concept of network resilience has gained increasing attention in the last few decades owing to its great potential in strengthening and maintaining complex systems. From network-based approaches, researchers have explored resilience of real ecological systems comprising diverse types of interactions, such as mutualism, antagonist, and predation, or mixtures of them. In this paper, we propose a dimension-reduction method for analyzing the resilience of hybrid herbivore–plant–pollinator networks. We qualitatively evaluate the contribution of species toward maintaining resilience of networked systems, as well as the distinct roles played by different categories of species. Our findings demonstrate that the strong contributors to network resilience within each category are more vulnerable to extinction. Notably, among the three types of species in consideration, plants exhibit a higher likelihood of extinction, compared to pollinators and herbivores.

Funder

China Scholarship Council

National Key Research and Development Program of China

National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Publisher

AIP Publishing

Subject

Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Advanced progress of network resilience;Europhysics Letters;2024-04-01

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