Programme: DFG – Priority Programme “Flexibility Matters: Interplay between Trait Diversity and Ecological Dynamics Using Aquatic Communities as Model Systems (DynaTrait)” (SPP 1704)

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MIL OSI – Source: TU Berlin –

Headline: Programme: DFG – Priority Programme “Flexibility Matters: Interplay between Trait Diversity and Ecological Dynamics Using Aquatic Communities as Model Systems (DynaTrait)” (SPP 1704)

Montag, 20. Februar 2017…”The Priority Programme aims to improve our understanding of this important but severely understudied feedback loop by accounting for the biodiversity-related flexibility of ecological systems arising from, e.g., genetic, phenotypic, or species diversity, which enables them to adjust to altered conditions and thus influences their dynamics. The programme moves away from the classical static species-based approach to a functional trait-based approach, which also accounts for trade-offs among traits. It considers studies on the consequences of trait variation for the dynamic properties of complex ecological systems including their non-linear feedbacks on trait variation determining whether trait variation is maintained or not. The Priority Programme strives towards an intensive, mutually stimulating interplay between experimental approaches at different scales, field measurements, and mathematical modelling. The aim is to broaden our limited quantitative knowledge and predictive power on how trait variation affects the type of ecological dynamics (e.g. static or oscillating) and responses to environmental changes (e.g. changes in predator or prey abundance). In particular, work should aim to quantify: how the potential of ecological systems to adjust to altered abiotic and biotic conditions depends on phenotypic, genetic and species diversity, how such potential for adjustments influences the type of ecological dynamics of, e.g., producers and consumers, and their responses to altered conditions, and how the altered dynamics in turn influence the maintenance of biodiversity and thus the potential to adjust to future changes.”…
Einreichungsfrist: 31.05.2017
Hier finden Sie die vollständige Ausschreibung.
(Quelle: DFG Informationen für die Wissenschaft, Nr. 11, 20.02.2017)

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