Publication Details

Category Software Publication
DOI 10.25937/dzcq-6c02
Licence GPL-3.0-only
Title (Primary) FISHCODE - FIsheries Simulation with Human COmplex DEcision-making
Version 1.1.0
Author Letschert, J.; Müller, B. ORCID logo ; Dressler, G.; Möllmann, C.; Stelzenmüller, V.
Source Titel CoMSES Model Library
Year 2024
Department OESA
Topic T5 Future Landscapes
Abstract Understanding human decision-making in the context of complex fisheries socio-ecological systems remains one of the key challenges for ecosystem-based management. Agent-based models (ABM) are increasingly seen as one of the most promising methods to simulate human decision-making. In many fishery models, human behavior is highly simplified and reduced to an economic motivation, although scientific literature suggests that it is more multi‑facetted. Here, we present FISHCODE a spatio-temporal ABM for German fisheries in the southern North Sea. Our decision‑making submodel combines different behavioral motivations, i.e. habitual behavior, profit-maximization, competition, conformism, and planning insecurity. Using highly resolved information on fishing trips, we parameterized model parameters either straight from data or through pattern‑oriented modelling. Model validation showed that model outputs were in realistic ranges when compared to observed data. We applied FISHCODE to assess scenarios of two growing challenges to fisheries in the North Sea: expansions of offshore wind farms and increasing fuel prices.
linked UFZ text publications
Persistent UFZ Identifier https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=30404
Letschert, J., Müller, B., Dressler, G., Möllmann, C., Stelzenmüller, V. (2024):
FISHCODE - FIsheries Simulation with Human COmplex DEcision-making
Version: 1.1.0 CoMSES Model Library 10.25937/dzcq-6c02