FN Archimer Export Format
PT J
TI Farm‐scale models in fish aquaculture – An overview of methods and applications
BT 
AF Chary, Killian
   Brigolin, Daniele
   Callier, Myriam
AS 1:1;2:2;3:3;
FF 1:;2:;3:PDG-RBE-MARBEC-LAAAS;
C1 Aquaculture and Fisheries Group, Department of Animal Sciences Wageningen University and Research Wageningen, The Netherlands
   Department of Architecture and Arts Università IUAV di Venezia Venezia, Italy
   MARBEC University of Montpellier, IRD, CNRS, Ifremer Palavas‐les‐Flots, France
C2 UNIV WAGENINGEN, NETHERLANDS
   UNIV VENICE, ITALY
   IFREMER, FRANCE
SI PALAVAS
SE PDG-RBE-MARBEC-LAAAS
UM MARBEC
IN WOS Ifremer UMR
   copubli-europe
IF 10.4
TC 8
UR https://archimer.ifremer.fr/doc/00774/88564/94289.pdf
   https://archimer.ifremer.fr/doc/00774/88564/94290.docx
LA English
DT Article
DE ;bioeconomic and environmental impacts modelling in aquaculture;decision-support tools;ecosystem approach to aquaculture;farm management;fish farming;individual-level models
AB Models are important tools to address sustainability challenges associated with developing aquaculture at farm, regional and global scales. Farm-scale models (FSMs), which are integrated mathematical models developed to simulate farm operations, can quantify energy, mass or economic input flows and predict a variety of outputs such as fish biomass, waste and by-products. The variety of farming systems, equations available to build the models, and objectives of applications and intended users has resulted in the publication of wide range of FSMs. We performed a narrative review of 36 fish FSMs published from 1985–2021 to address several questions: Can the main characteristics of these models be defined? How do the farming system studied and the objectives of the study influence model development? What are the main modelling techniques available to simulate the main processes of a fish farm, and what are their advantages and disadvantages? How can FSMs help address sustainability challenges of aquaculture? This review discusses advances, limitations and future lines of research related to FSMs to help select existing models, or develop new ones, that are suitable for their intended use and users. The article is structured according to the main steps of the modelling process: (i) definition of scope and objectives; (ii) process formulation and model selection at individual, cohort and farm levels; (iii) implementation and evaluation; and (iv) applications (e.g. precision fish farming, IMTA modelling, supporting spatial management, life cycle assessment). At each step, recommendations are provided and research needs are stated. 
PY 2022
PD SEP
SO Reviews In Aquaculture
SN 1753-5123
PU Wiley
VL 14
IS 4
UT 000804639700001
BP 2122
EP 2157
DI 10.1111/raq.12695
ID 88564
ER

EF