Robustness of the spatial insurance effects of biodiversity to habitat loss

摘要: Definitions: Spatial insurance: Improvement of maintenance species diversity and ecosystem functioning in heterogeneous environments because can track their optimal by dispersing between habitat patches. Betweenness centrality: Value an individual patch adding to the connectivity metacommunity being a stepping-stone for individuals. Robustness: The proportion patches that must be removed change each response variable beyond given threshold. Question: In fragmented landscapes, how do spatial patterns loss affect robustness insurance effects on biodiversity? Does underlying pattern metacommunities play role maintaining biodiversity function face loss? Mathematical method: Using spatially explicit version resource competition model, we simulated networks composed connected links dispersal. Key assumptions: Species differ environmental preferences. Local conditions fluctuate asynchronously so disperse order persist maintain productivity. Habitat are lost sequentially, resulting gradual fragmentation metacommunity. Results: reduces amount conferred structure preventing from environmentally suitable areas. decreases dramatically when with high betweenness centrality lost. Metacommunities generally most robust is random have low centrality.