| Literature DB >> 35027724 |
Núria Galiana1,2, Miguel Lurgi3,4, Vinicius A G Bastazini3,5, Jordi Bosch6, Luciano Cagnolo7, Kevin Cazelles8, Bernat Claramunt-López6,9, Carine Emer10,11, Marie-Josée Fortin12, Ingo Grass13, Carlos Hernández-Castellano6,9, Frank Jauker14, Shawn J Leroux15, Kevin McCann8, Anne M McLeod15, Daniel Montoya3,16,17, Christian Mulder18, Sergio Osorio-Canadas6,19, Sara Reverté6, Anselm Rodrigo6,9, Ingolf Steffan-Dewenter20, Anna Traveset21, Sergi Valverde22,23, Diego P Vázquez24,25, Spencer A Wood26, Dominique Gravel27, Tomas Roslin28,29, Wilfried Thuiller30, José M Montoya3.
Abstract
Larger geographical areas contain more species-an observation raised to a law in ecology. Less explored is whether biodiversity changes are accompanied by a modification of interaction networks. We use data from 32 spatial interaction networks from different ecosystems to analyse how network structure changes with area. We find that basic community structure descriptors (number of species, links and links per species) increase with area following a power law. Yet, the distribution of links per species varies little with area, indicating that the fundamental organization of interactions within networks is conserved. Our null model analyses suggest that the spatial scaling of network structure is determined by factors beyond species richness and the number of links. We demonstrate that biodiversity-area relationships can be extended from species counts to higher levels of network complexity. Therefore, the consequences of anthropogenic habitat destruction may extend from species loss to wider simplification of natural communities.Entities:
Mesh:
Year: 2022 PMID: 35027724 DOI: 10.1038/s41559-021-01644-4
Source DB: PubMed Journal: Nat Ecol Evol ISSN: 2397-334X Impact factor: 19.100