ME017
Trait-Based Approaches to Biodiversity-Ecosystem Function and Biogeographic Patterns

Session ID#: 255421

Session Description:
Evidence from Biodiversity-Ecosystem Function (BEF) shows that increasing species richness has a positive effect on ecosystem functioning such as productivity, carbon storage, ecosystem health and resilience. As such, fast-paced biodiversity loss will cause substantial changes in  ecosystem function and services. BEF is a critical framework to understand how diversity mediates ecosystem function. Both ecosystem and environmental changes feedback to shape biodiversity and biogeographic patterns. For instance, warming oceans shift species poleward, altering ecosystem functions in both origin and newly inhabited regions. Therefore, biodiversity, ecosystem function and biogeography form a dynamic triad: species distribution determines biodiversity patterns, which in turn drive ecosystem function. 

Our session aims to gather and explore findings that advance our understanding of how marine biodiversity supports multiple ecosystem functions across changing environments. With that, we invite contributions that use trait-based empirical or modelling approaches to explore the effect of biodiversity on ecosystem functioning in marine environments. We also encourage studies that move beyond species richness to incorporate multiple dimensions of biodiversity (e.g. functional diversity, evenness), as well as interconnective research that investigates how marine biodiversity, ecosystem functions and biogeography are linked to deepen our understanding of the future of global oceans.

Co-Sponsor(s):
  • Climate and Ocean Change -
  • Ocean Biology and Biogeochemistry -
Index Terms:

0410 Biodiversity [BIOGEOSCIENCES]
0460 Marine systems [BIOGEOSCIENCES]
4815 Ecosystems, structure, dynamics, and modeling [OCEANOGRAPHY: BIOLOGICAL]
Primary Chair:  Lívia Oliveira, Helmholtz Institute for Functional Marine Biodiversity at the University of Oldenburg, Plankton Ecology, Oldenburg, Germany
Co-chairs:  Bingzhang Chen, University of Strathclyde, Mathematics and Statistics, Glasgow, United Kingdom and Maya Dalby, Alfred Wegener Institute Helmholtz-Center for Polar and Marine Research Bremerhaven, Bremerhaven, Germany
 
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