Including trait-based early warning signals helps predict population collapse

Predicting population collapse by monitoring key early warning signals in time-series data may highlight when interventions are needed. Here, the authors show that including information on phenotypic traits like body size can more accurately predict critical transitions than abundance data alone.

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Detalles Bibliográficos
Autores principales: Christopher F. Clements, Arpat Ozgul
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2016
Materias:
Q
Acceso en línea:https://doaj.org/article/01fed31c4bbf43e487fd8f45eb182cff
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