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Ecosystem Approach to Fisheries and Marine Ecosystem Modelling: Review of Current Approaches
Stecken M and Failler P*Economics and Finance Group, Portsmouth Business School, University of Portsmouth, Richmond Building, Portland Street, Portsmouth, PO1 3DE, UK
- *Corresponding Author:
- Failler P
Economics and Finance Group, Portsmouth Business School
University of Portsmouth, Richmond Building, Portland Street
Portsmouth, PO1 3DE, UK
Tel: +44 (0)2392 848 505
Fax: +44 (0) 2392 844 614
E-mail: pierre.failler@port.ac.uk
Received Date: July 26, 2016; Accepted Date: August 10, 2016; Published Date: August 30, 2016
Citation: Stecken M, Failler P (2016) Ecosystem Approach to Fisheries and Marine Ecosystem Modelling: Review of Current Approaches. J Fisheries Livest Prod 4: 199 doi: 10.4172/2332-2608.1000199
Copyright: © 2016 Stecken M, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
This paper presents a review of existing approaches on ecosystem modelling and assesses them in the light of their capacity to integrate main elements of the ecosystem and their pertinence for fishery management. It completes existing EAF reviews by adding substantial analysis of the way to incorporate ecosystem complexities in models. The two most used approaches use nearly the same structure of boxes with flows of biomass for EwE or flows of elements for BM2. The main difference which gives a more efficient modelling is the method of estimates coming from the steady state model ECOPATH. This method is one of the strength of the EwE approach giving it a good predictive power. However, it is in the same time one of its main weakness in assuming an equilibrium situation that is far to be always the case. BM2 and biogeochemical models in general will have a better predictive power for low trophic levels. The problem in raising trophic levels is the higher number of parameters which raises in the same time the uncertainty of such models. The last model, ECGEM, is a recent model with an original approach. It presents, however, several important weaknesses as its ecological pertinence remains to be proved. Despite this, the model requires less parameters and supply methods needed by standard models and thus allows to process more complex situations.
