FN Archimer Export Format
PT J
TI Ev-OSMOSE: An eco-genetic marine ecosystem model
BT 
AF Morell, Alaia
   Shin, Yunne-Jai
   Barrier, Nicolas
   Travers-Trolet, Morgane
   Ernande, Bruno
AS 1:1;2:2;3:2;4:3;5:4;
FF 1:PDG-RBE-HMMN-LRHBL;2:;3:;4:PDG-RBE-HALGO-EMH;5:PDG-RBE-MARBEC-LEGPM;
C1 IFREMER, Unité halieutique Manche Mer du Nord Ifremer, HMMN, Boulogne sur mer, France
   MARBEC, Univ. Montpellier, Ifremer, CNRS, IRD, Sète/Montpellier, France
   DECOD (Ecosystem Dynamics and Sustainability), IFREMER, INRAE, L’Institut Agro, Nantes, France
   International Institute for Applied Systems Analysis (IIASA), A-2361 Laxenburg, Austria.
C2 IFREMER, FRANCE
   IRD, FRANCE
   IFREMER, FRANCE
   IIASA, AUSTRIA
SI BOULOGNE
   AUTRE
   SETE
   NANTES
   MONTPELLIER
SE PDG-RBE-HMMN-LRHBL
   IRD
   PDG-RBE-HALGO-EMH
   PDG-RBE-MARBEC-LEGPM
UM MARBEC
   DECOD
TC 0
UR https://archimer.ifremer.fr/doc/00840/95230/102976.pdf
LA English
DT Article
DE ;Food web;Marine ecosystem model;Genotypic variance;Fisheries-induced evolution;Climate-induced evolution;Adaptation
AB In the last decade, marine ecosystem models have been increasingly used to project interspecific biodiversity under various global change and management scenarios, considering ecological dynamics only. However, fish populations may also adapt to climate and fishing pressures, via evolutionary changes, leading to modifications in their life-history that could either mitigate or worsen, or even make irreversible, the impacts of these pressures. Building on the multispecies individual-based model Bioen-OSMOSE, an eco-evolutionary fish community model, Ev-Osmose, has been developed to account for evolutionary dynamics together with physiological and ecological dynamics in fish diversity projections. A gametic inheritance module describing the individuals’ genetic structure has been implemented. The genetic structure is defined by finite numbers of loci and alleles per locus that determine the genetic variability of growth, maturation and reproductive effort. Climate change and fishing activities will generate selection pressures on fish life-history traits that will respond through microevolution. This paper is an overview of the Ev-OSMOSE model. To illustrate the ability of the Ev-OSMOSE model to represent realistic fish community dynamics, genotypic and phenotypic traits’ mean and variance and consistent evolutionary patterns, we applied the model to the North Sea ecosystem. The simulated outputs are confronted to observed data of commercial catch, maturity ogives and length at age and to estimates of biomass for each modeled species. In addition to the evaluation of their mean value, the emerging traits’ variability is confronted to length-at-age and maturity data. To ensure the consistency of genetic inheritance and the resulting evolutionary patterns, we assessed the transmission of traits’ genotypic value across cohorts. Overall, the state of the modelled ecosystem was convincing at all these different biological levels. These results open perspectives for using Ev-OSMOSE in different marine regions to project the eco-evolutionary impact of various global change and management scenarios on different biological levels. 
PY 2023
PD FEB
SO BioRxiv
PU Cold Spring Harbor Laboratory
DI 10.1101/2023.02.08.527669
ID 95230
ER

EF