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dc.contributor.author
Boussange, Victor
dc.contributor.author
Pellissier, Loïc
dc.date.accessioned
2022-07-29T08:26:34Z
dc.date.available
2022-07-13T03:07:11Z
dc.date.available
2022-07-29T08:26:34Z
dc.date.issued
2022-07-06
dc.identifier.issn
2399-3642
dc.identifier.other
10.1038/s42003-022-03595-3
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/557746
dc.identifier.doi
10.3929/ethz-b-000557746
dc.description.abstract
Differentiation mechanisms are influenced by the properties of the landscape over which individuals interact, disperse and evolve. Here, we investigate how habitat connectivity and habitat heterogeneity affect phenotypic differentiation by formulating a stochastic eco-evolutionary model where individuals are structured over a spatial graph. We combine analytical insights into the eco-evolutionary dynamics with numerical simulations to understand how the graph topology and the spatial distribution of habitat types affect differentiation. We show that not only low connectivity but also heterogeneity in connectivity promotes neutral differentiation, due to increased competition in highly connected vertices. Habitat assortativity, a measure of habitat spatial auto-correlation in graphs, additionally drives differentiation under habitat-dependent selection. While assortative graphs systematically amplify adaptive differentiation, they can foster or depress neutral differentiation depending on the migration regime. By formalising the eco-evolutionary and spatial dynamics of biological populations on graphs, our study establishes fundamental links between landscape features and phenotypic differentiation.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Nature
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
Biodiversity
en_US
dc.subject
Evolutionary ecology
en_US
dc.subject
Network topology
en_US
dc.subject
Population dynamics
en_US
dc.title
Eco-evolutionary model on spatial graphs reveals how habitat structure affects phenotypic differentiation
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
ethz.journal.title
Communications Biology
ethz.journal.volume
5
en_US
ethz.journal.issue
1
en_US
ethz.journal.abbreviated
Commun Biol
ethz.pages.start
668
en_US
ethz.size
12 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
London
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02722 - Institut für Terrestrische Oekosysteme / Institute of Terrestrial Ecosystems::09553 - Pellissier, Loïc / Pellissier, Loïc
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02722 - Institut für Terrestrische Oekosysteme / Institute of Terrestrial Ecosystems::09553 - Pellissier, Loïc / Pellissier, Loïc
ethz.date.deposited
2022-07-13T03:07:28Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2022-07-29T08:26:42Z
ethz.rosetta.lastUpdated
2023-02-07T04:54:48Z
ethz.rosetta.versionExported
true
ethz.COinS
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