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Core-periphery dynamics in a plant-pollinator network

Miele, Vincent et al · Wiley Blackwell Publishing, Inc · 2020

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Mutualistic networks are highly dynamic, characterized by high temporal turnover of species and interactions. Yet, we have a limited understanding of how the internal structure of these networks and the roles species play in them vary through time. We used 6 years of observation data and a novel statistical method (dynamic stochastic block models) to assess how network structure and species' structural position within the network change throughout subseasons of the flowering season and across years in a quantitative plant–pollinator network from a dryland ecosystem in Argentina. Our analyses revealed a core–periphery structure persistent through subseasons and years. Yet, species structural position as core or peripheral was highly dynamic: virtually all species that were at the core in some subseasons were also peripheral in other subseasons, while many other species always remained peripheral. Our results illuminate our understanding of the dynamics of mutualistic networks and have important implications for ecosystem management and conservation. Fil: Miele, Vincent. Centre National de la Recherche Scientifique; Francia Fil: Ramos Jiliberto, Rodrigo. Universidad Mayor; Chile

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APA 7

Miele, V. E. A. (2020). Core-periphery dynamics in a plant-pollinator network. http://hdl.handle.net/11336/143905

MLA

Miele, Vincent et al. "Core-periphery dynamics in a plant-pollinator network." 2020. http://hdl.handle.net/11336/143905.

Chicago

Miele, Vincent et al. 2020. "Core-periphery dynamics in a plant-pollinator network.". http://hdl.handle.net/11336/143905.

Harvard

Miele, V. E. A. 2020, Core-periphery dynamics in a plant-pollinator network, Wiley Blackwell Publishing, Inc, available at: http://hdl.handle.net/11336/143905 [Accessed 8 Aug. 2026].

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Titolo
Core-periphery dynamics in a plant-pollinator network
Autore / collaboratori
Miele, Vincent et al
Editore
Wiley Blackwell Publishing, Inc
Anno di pubblicazione
2020
ISSN
1670-1677
ISSN
1670-1677
Lingua
Inglés

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