Local and regional processes drive distance decay in structure in a spatial multilayer plant-pollinator network

被引:1
作者
Vitali, Agustin [1 ]
Goldstein, Maya [1 ]
Markfeld, Matan [1 ]
Pilosof, Shai [1 ,2 ]
机构
[1] Ben Gurion Univ Negev, Dept Life Sci, Beer Sheva, Israel
[2] Ben Gurion Univ Negev, Goldman Sonnenfeldt Sch Sustainabil & Climate Chan, Beer Sheva, Israel
基金
以色列科学基金会;
关键词
biogeography; distance decay; metacommunities; multilayer networks; plant-pollinator interactions; spatial structure; ECOLOGICAL NETWORKS; TURNOVER; PATTERNS; DISSIMILARITY; BIODIVERSITY; BIOGEOGRAPHY; COMMUNITIES; MODULARITY; REGRESSION; EVOLUTION;
D O I
10.1111/1365-2656.14174
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Understanding spatial variation in species distribution and community structure is at the core of community ecology. Nevertheless, the effect of distance on metacommunity structure remains little studied. We examine how plant-pollinator community structure changes across geographical distances at a regional scale and disentangle its underlying local and regional processes. We use a multilayer network to represent linked plant-pollinator communities as a metacommunity in the Canary Islands. We used modularity (i.e. the extent to which the community is partitioned into groups of densely interacting species) to quantify distance decay in structure across space. In multilayer modularity, the same species can belong to different modules in different communities, and modules can span communities. This enabled quantifying how similarity in module composition varied with distance between islands. We developed three null models, each controlling for a separate component of the multilayer network, to disentangle the role of species turnover, interaction rewiring and local factors in driving distance decay in structure. We found a pattern of distance decay in structure, indicating that islands tended to share fewer modules with increasing distance. Species turnover (but not interaction rewiring) was the primary regional process triggering distance decay in structure. Local interaction structure also played an essential role in determining the structure similarity of communities at a regional scale. Therefore, local factors that determine species interactions occurring at a local scale drive distance decay in structure at a regional scale. Our work highlights the interplay between local and regional processes underlying community structure. The methodology, and specifically the null models, we developed provides a general framework for linking communities in space and testing different hypotheses regarding the factors generating spatial structure. In this study, we demonstrated distance decay in structure across islands and identified species turnover and local factors as the main drivers. Our work introduces a general framework for linking communities in space using a multilayer network approach and its associated null models.image
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收藏
页码:1582 / 1592
页数:11
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