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Resilience of hybrid herbivore-plant-pollinator networks.
Wang, Guangwei; Chen, Guanrong; Zhang, Hai-Tao.
Afiliação
  • Wang G; School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China.
  • Chen G; MOE Engineering Research Center of Autonomous Intelligent Unmanned Systems, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China.
  • Zhang HT; State Key Lab of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China.
Chaos ; 33(9)2023 Sep 01.
Article em En | MEDLINE | ID: mdl-37729102
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.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Chaos Assunto da revista: CIENCIA Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Chaos Assunto da revista: CIENCIA Ano de publicação: 2023 Tipo de documento: Article