Open Access
Partner Fidelity and Asymmetric Specialization in Ecological Networks
Author(s) -
Miguel A. Fortuna,
Arxhigavci,
Matthew A. Barbour,
Jordi Bascompte
Publication year - 2020
Publication title -
the american naturalist
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.954
H-Index - 205
eISSN - 1537-5323
pISSN - 0003-0147
DOI - 10.1086/709961
Subject(s) - generalist and specialist species , biology , fidelity , ecology , mutualism (biology) , ecological network , coevolution , phylogenetic tree , evolutionary biology , nestedness , interdependence , community , biodiversity , habitat , ecosystem , computer science , telecommunications , biochemistry , gene , political science , law
AbstractSpecies are embedded in complex networks of interdependencies that may change across geographic locations. Yet most approaches to investigate the architecture of this entangled web of life have considered exclusively local communities. To quantify to what extent species interactions change at a biogeographic scale, we need to shed light on how among-community variation affects the occurrence of species interactions. Here we quantify the probability for two partners to interact wherever they co-occur (i.e., partner fidelity) by analyzing the most extensive database on species interaction networks worldwide. We found that mutualistic species show more fidelity in their interactions than antagonistic ones when there is asymmetric specialization (i.e., when specialist species interact with generalist partners). Moreover, resources (e.g., plants in plant-pollinator mutualisms or hosts in host-parasite interactions) show a higher partner fidelity in mutualistic interactions than in antagonistic interactions, which can be explained neither by sampling effort nor by phylogenetic constraints developed during their evolutionary histories. In spite of the general belief that mutualistic interactions among free-living species are labile, asymmetric specialization is very much conserved across large geographic areas.