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Design and Use of an Apparatus for Quantifying Bivalve Suspension Feeding at Sea
Published on: September 5, 2018
Inferring functional traits in a deep-sea wood-boring bivalve using dynamic energy budget theory
S M Gaudron1,2, S Lefebvre3, G M Marques4
1UMR 8187, Laboratoire d'Océanologie et de Géosciences (LOG), Université de Lille, ULCO, CNRS, 59000, Lille, France. sylvie.gaudron@sorbonne-universite.fr.
Dynamic energy budget (DEB) modeling reveals functional traits of the deep-sea Atlantic woodeater, Xylonora atlantica. This study highlights unique adaptations to deep-sea conditions, including altered energy allocation and extended larval duration.
Area of Science:
- Deep-sea biology
- Ecological modeling
- Life-history evolution
Background:
- Significant knowledge gaps exist regarding deep-sea species' functional traits across their life cycles.
- Dynamic energy budget (DEB) theory offers an efficient framework for estimating life-cycle functional traits via simulation modeling.
Purpose of the Study:
- To implement an abj-DEB model for the deep-sea species Xylonora atlantica.
- To estimate functional traits of X. atlantica under varying environmental conditions.
- To understand life-history adaptations of deep-sea organisms.
Main Methods:
- An abj-DEB model, incorporating an additional juvenile stage, was developed and applied to Xylonora atlantica.
- Model parameters were compared with those of shallow marine bivalves.
- Functional traits were simulated under different food densities and temperatures.
Main Results:
- X. atlantica exhibits lower energy conductance and puberty requirements than shallow bivalves, with higher reserve capacity.
- Simulated traits include a low cumulative oocyte number, slow growth, small maximum size, and extended larval duration.
- DEB modeling explained dwarf male reproduction through shifted energy allocation favoring reproduction.
Conclusions:
- DEB modeling provides insights into deep-sea species' functional traits and life-history strategies.
- X. atlantica displays adaptations for survival in deep-sea environments, including starvation tolerance and specific reproductive strategies.
- Estimated functional traits are valuable for future deep-sea population connectivity and resilience studies.
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