FEISTY Fortran library and R package to integrate fish and fisheries with biogeochemical models
Year: 2024
Type: article
Abstract: The FishErIes Size and functional TYpe model (FEISTY) is a mechanistic ecosystem model that fully integrates ecosystem structure across trophic levels through functional types. We present an R package that enables users to run simulations ranging from a 0D chemostat to full global scales. The library is written in Fortran90 with an R interface and provides a web application for visual exploration. We present and compare results from four core configurations across a range of depths, productivity and fishing levels, and we assess the convergence of solutions as the number of size classes is increased. The model has historically been coupled to biogeochemical models of mesozooplankton and detritus production, but it can also be applied in a stand‐alone version. We demonstrate the library to set up and simulate fish communities under varying productivity of mesozooplankton and benthos, and top‐down forcing from fishing. We outline three strategies for coupling FEISTY with biogeochemical model output and discuss future directions and open issues.
Source: Methods in Ecology and Evolution
Authors: Yixin Zhao, P. Daniël van Denderen, Rémy Denéchère, Jonathan E. Falciani, Nis S. Jacobsen, Themistoklis Konstantinopoulos, Daniel Ottmann, Colleen M. Petrik, Karline Soetaert, Charles A. Stock, Ken H. Andersen
Language: English
Subfield: Global and Planetary Change
Field: Environmental Science
Domain: Physical Sciences
SDG: Life below water
Open Access status: gold
Estimated APC paid: $3,500
Funders: Danmarks Frie Forskningsfond, National Oceanic and Atmospheric Administration, Horizon 2020 Framework Programme, HORIZON EUROPE Framework Programme, H2020 Marie Skłodowska-Curie Actions, HORIZON EUROPE Digital, Industry and Space, HORIZON EUROPE Food, Bioeconomy, Natural Resources, Agriculture and Environment
Awards: G1011126116, G1153809293, G2189472788, G2581940097, G259383857, G3279024900, Ocean-ICU Improving Carbon Understanding, G392945534, New Copernicus capability for trophic ocean networks, G726436738, G7811433055, Integrating empirical and modelling research to assess climate change impacts on demersal fish communities, G8230826019, G8855192242
OpenAlex ID: W4404869670