Maximising the clustering coefficient of networks and the effects on habitat network robustness.

ABSTRACT: The robustness of networks against node failure and the response of networks to node removal has been studied extensively for networks such as transportation networks, power grids, and food webs. In many cases, a network's clustering coefficient was identified as a good indicator for network robustness. In ecology, habitat networks constitute a powerful tool to represent metapopulations or -communities, where nodes represent habitat patches and links indicate how these are connected. Current climate and land-use changes result in decline of habitat area and its connectivity and are thus the main drivers for the ongoing biodiversity loss. Conservation efforts are therefore needed to improve the connectivity and mitigate effects of habitat loss. Habitat loss can easily be modelled with the h

SUBMITTER: Heer H 

PROVIDER: S-EPMC7575089 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature