Data from: Predicting biotic interactions and their variability in a changing environment

Global environmental change is altering the patterns of biodiversity worldwide. Observation and theory suggest that species' distributions and abundances depend on a suite of processes, notably abiotic filtering and biotic interactions, both of which are constrained by species' phylogenetic history. Models predicting species distribution have historically mostly considered abiotic filtering and are only starting to integrate biotic interaction. However, using information on present interactions to forecast the future of biodiversity supposes that biotic interactions will not change when species are confronted with new environments. Using bacterial microcosms, we illustrate how biotic interactions can vary along an environmental gradient and how this variability can depend on the phylogenetic distance between interacting species.

Identifier
DOI https://doi.org/10.5061/dryad.v36v0
PID https://nbn-resolving.org/urn:nbn:nl:ui:13-za-0tjd
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:94178
Provenance
Creator Kadowaki, Kohmei; Barbera, Claire G.; Godsoe, William; Delsuc, Frédéric; Mouquet, Nicolas
Publisher Data Archiving and Networked Services (DANS)
Publication Year 2016
Rights info:eu-repo/semantics/openAccess; License: http://creativecommons.org/publicdomain/zero/1.0; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Representation
Resource Type Dataset
Discipline Life Sciences; Medicine