A comparison of scope for growth (SFG) and dynamic energy budget (DEB) models applied to the blue mussel (Mytilus edulis)

Abstract

A comparison of Scope For Growth (SFG) and Dynamic Energy Budget (DEB) 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 2 Abstract 17Growth of Mytilus edulis was modelled using individual based models following both 18 Scope For Growth (SFG) and Dynamic Energy Budget (DEB) approaches. These models 19 were parameterized using independent studies and calibrated for each dataset by adjusting 20 the half-saturation coefficient of the food ingestion function term, X K , a common 21 parameter in both approaches related to feeding behaviour. Auto-calibration was carried 22 out using an optimization tool, which provides an objective way of tuning the model. 23Both approaches yielded similar performance, suggesting that although the basis for 24 constructing the models is different, both can successfully reproduce M. edulis growth. 25The good performance of both models in different environments achieved by adjusting a 26 single parameter, X K , highlight the potential of these models for (1) producing 27 prospective analysis of mussel growth and (2) investigating mussel feeding response in 28 different ecosystems. Finally, we emphasize that the convergence of two different 29 modelling approaches via calibration of X K , indicates the importance of the feeding 30 behaviour and local trophic conditions for bivalve growth performance. Consequently, 31 further investigations should be conducted to explore the relationship of X K to 32 environmental variables and/or to the sophistication of the functional response to food 33 availability with the final objective of creating a general model that can be applied to 34 different ecosystems without the need for calibration. 35 36

Numerical modelling of spatio-temporal variability of growth of Mytilus edulis (L.) and influence of its cultivation on ecosystem functioning

“…Chlorophyll a has been commonly used as a food proxy in previous DEB model implementations (e.g. Filgueira et al, 2011;Rosland, 2009;Thomas et al, 2011;van der Veer, 2006;van der Meer, 2006). Ren et al (2010) point out after Dame and Prins (1998) that phytoplankton is the main source of food and energy to support large populations of bivalves in coastal systems; these authors could not reproduce the growth when POC was included as the food source.…”

“…DEB models have been successfully applied to several shellfish species including Mytilus edulis (e.g. Handå et al, 2011;Filgueira et al, 2011;Maar et al, 2009;Rosland et al, 2009Rosland et al, , 2011Saraiva et al, 2011a;Thomas et al, 2011;van der Veer et al, 2006), Crassostrea gigas (e.g. Alunno-Bruscia et al, 2011;Barillé et al, 2011;Bernard et al, 2011;Bourlès et al, 2009;Emmery et al, 2011), and other species.…”

Picophytoplankton contribution to Mytilus edulis growth in an intensive culture environment

“…DEB theory has been favourably compared to other modelling approaches that explore bivalve bioenergetics (e.g. Filgueira et al 2011, Larsen et al 2014). …”

Predicting effective aquaculture in subtropical waters: A dynamic energy budget model for the green lipped mussel, Perna viridis

“…Dynamic Energy Budget theory (DEB; Kooijman, 2010) has been developed to provide an integrative approach to link basal physiological information with environmental conditions, in a mechanisticbioenergetic framework. In essence, the DEB model captures the processes of energy acquisition and utilization in an organism under varying environmental conditions based on First Principles (Nisbet et al, 2000;Van der Meer, 2006;Filgueira et al, 2011) as applied to a suite of parameters that describe the physiology responses of a species to environmental variation. The DEB model, therefore, integrates the energy allocation strategies adopted by species, and allows subsequent prediction of LH traits (e.g., growth and reproductive potential) in response to changes in environmental variables such as temperature and food density ( Van der Meer, 2006;Filgueira et al, 2011;Sarà et al, 2013).…”

“…In essence, the DEB model captures the processes of energy acquisition and utilization in an organism under varying environmental conditions based on First Principles (Nisbet et al, 2000;Van der Meer, 2006;Filgueira et al, 2011) as applied to a suite of parameters that describe the physiology responses of a species to environmental variation. The DEB model, therefore, integrates the energy allocation strategies adopted by species, and allows subsequent prediction of LH traits (e.g., growth and reproductive potential) in response to changes in environmental variables such as temperature and food density ( Van der Meer, 2006;Filgueira et al, 2011;Sarà et al, 2013). As such, by varying environmental parameters, one can estimate performance of a species under differing environmental conditions, which can inform aquaculture management practices.…”