Ecosystem modelling in the southern Benguela: comparisons of Atlantis, Ecopath with Ecosim, and OSMOSE under fishing scenarios
Authored by M D Smith, E A Fulton, R W Day, L J Shannon, Yunne-Jai Shin
Date Published: 2015
DOI: 10.2989/1814232x.2015.1013501
Sponsors:
European Union
Platforms:
No platforms listed
Model Documentation:
Other Narrative
Model Code URLs:
Model code not found
Abstract
Ecosystem-based management of marine fisheries requires the use of
simulation modelling to investigate the system-level impact of candidate
fisheries management strategies. However, testing of fundamental
assumptions such as system structure or process formulations is rarely
done. In this study, we compare the output of three different ecosystem
models (Atlantis, Ecopath with Ecosim, and OSMOSE) applied to the same
ecosystem (the southern Benguela), to explore which ecosystem effects of
fishing are most sensitive to model uncertainty. We subjected the models
to two contrasting fishing pressure scenarios, applying high fishing
pressure to either small pelagic fish or to adult hake. We compared the
resulting model behaviour at a system level, and also at the level of
model groups. We analysed the outputs in terms of various commonly used
ecosystem indicators, and found some similarities in the overall
behaviour of the models, despite major differences in model formulation
and assumptions. Direction of change in system-level indicators was
consistent for all models under the hake pressure scenario, although
discrepancies emerged under the small-pelagic-fish scenario. Studying
biomass response of individual model groups was key to understanding
more integrated system-level metrics. All three models are based on
existing knowledge of the system, and the convergence of model results
increases confidence in the robustness of the model outputs. Points of
divergence in the model results suggest important areas of future study.
The use of feeding guilds to provide indicators for fish species at an
aggregated level was explored, and proved to be an interesting
alternative to aggregation by trophic level.
Tags
Individual-based model
Management
fisheries
Indicators
Adriatic sea
Upwelling ecosystems
Aggregation error
Marine
ecosystems
Trophic level
Northern