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Reconstructing physiological history from growth, a method to invert DEB models
- Source :
- Journal Of Sea Research (1385-1101) (Elsevier Science Bv), 2019-01, Vol. 143, P. 183-192, Journal of Sea Research, Journal of Sea Research, Elsevier, 2019, 143, pp.183-192. ⟨10.1016/j.seares.2018.07.007⟩, Journal of Sea Research (JSR), Journal of Sea Research (JSR), Elsevier, 2019, 143, pp.183-192. ⟨10.1016/j.seares.2018.07.007⟩, Journal of Sea Research (JSR), 2019, 143, pp.183-192. ⟨10.1016/j.seares.2018.07.007⟩
- Publication Year :
- 2019
- Publisher :
- Elsevier Science Bv, 2019.
-
Abstract
- International audience; Dynamic Energy Budget (DEB) models rely on measurements of food availability to describe the rates at which organisms assimilate and use energy from food for maintenance, growth, maturation and reproduction. Although crucial, the determination of appropriate and accurate energy input variables can be problematic. We developed an inverted DEB model to reconstruct the food intake from temperature and growth trajectories. The method makes use of a reformulation of the DEB model dynamics into a second order linear equation. This formula not only allows the reconstruction of the scaled functional response but also gives access to reserve dynamics, mobilization, and somatic maintenance fluxes. The shell of the great scallop, Pecten maximus, providing high resolution records of incremental growth, was used to explore the potential of this approach to reconstruct the functional response from daily shell growth rates data. In a theoretical case, we investigated the resolution and sensitivity limits of the method. In a validation process, predictions were used to re-simulate growth that was compared to the initial growth trajectory. Moreover, as growth data used in the reconstruction process usually show high-frequency variability, we also developed a smoothing method, based on DEB theory assumptions, to filter growth data time series.
- Subjects :
- 0106 biological sciences
Dynamic energy budget
Growth
Aquatic Science
Oceanography
010603 evolutionary biology
01 natural sciences
Sclerochronology
Environmental reconstruction
Applied mathematics
Sensitivity (control systems)
Ecology, Evolution, Behavior and Systematics
[SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography
Mathematics
[SDV.EE]Life Sciences [q-bio]/Ecology, environment
Series (mathematics)
Physiological reconstruction
010604 marine biology & hydrobiology
ACL
Bivalve
Filter (signal processing)
[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
Trajectory
[SDE.BE]Environmental Sciences/Biodiversity and Ecology
Dynamic Energy Budget
Smoothing
Linear equation
Energy (signal processing)
Subjects
Details
- Language :
- English
- ISSN :
- 13851101 and 18731414
- Database :
- OpenAIRE
- Journal :
- Journal Of Sea Research (1385-1101) (Elsevier Science Bv), 2019-01, Vol. 143, P. 183-192, Journal of Sea Research, Journal of Sea Research, Elsevier, 2019, 143, pp.183-192. ⟨10.1016/j.seares.2018.07.007⟩, Journal of Sea Research (JSR), Journal of Sea Research (JSR), Elsevier, 2019, 143, pp.183-192. ⟨10.1016/j.seares.2018.07.007⟩, Journal of Sea Research (JSR), 2019, 143, pp.183-192. ⟨10.1016/j.seares.2018.07.007⟩
- Accession number :
- edsair.doi.dedup.....3c2757618e88f274c1e69a87d48fb46d
- Full Text :
- https://doi.org/10.1016/j.seares.2018.07.007⟩