1. SPRAT: A spatially-explicit marine ecosystem model based on population balance equations
- Author
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Wilhelm Hasselbring, Arne N. Johanson, Andreas Oschlies, and Boris Worm
- Subjects
FOS: Computer and information sciences ,0106 biological sciences ,010504 meteorology & atmospheric sciences ,Fishing ,Population ,Fish stock ,01 natural sciences ,Computational Engineering, Finance, and Science (cs.CE) ,Ecosystem model ,Regime shift ,Ecosystem ,Quantitative Biology - Populations and Evolution ,Computer Science - Computational Engineering, Finance, and Science ,education ,0105 earth and related environmental sciences ,education.field_of_study ,biology ,business.industry ,010604 marine biology & hydrobiology ,Ecological Modeling ,Environmental resource management ,Populations and Evolution (q-bio.PE) ,I.6.5 ,Sprat ,biology.organism_classification ,Ecosystem-based management ,Fishery ,FOS: Biological sciences ,Environmental science ,business - Abstract
To successfully manage marine fisheries using an ecosystem-based approach, long-term predictions of fish stock development considering changing environmental conditions are necessary. Such predictions can be provided by end-to-end ecosystem models, which couple existing physical and biogeochemical ocean models with newly developed spatially-explicit fish stock models. Typically, Individual-Based Models (IBMs) and models based on Advection-Diffusion-Reaction (ADR) equations are employed for the fish stock models. In this paper, we present a novel fish stock model called SPRAT for end-to\hyp{}end ecosystem modeling based on Population Balance Equations (PBEs) that combines the advantages of IBMs and ADR models while avoiding their main drawbacks. SPRAT accomplishes this by describing the modeled ecosystem processes from the perspective of individuals while still being based on partial differential equations. We apply the SPRAT model to explore a well-documented regime shift observed on the eastern Scotian Shelf in the 1990s from a cod-dominated to a herring-dominated ecosystem. Model simulations are able to reconcile the observed multitrophic dynamics with documented changes in both fishing pressure and water temperature, followed by a predator-prey reversal that may have impeded recovery of depleted cod stocks. We conclude that our model can be used to generate new hypotheses and test ideas about spatially interacting fish populations, and their joint responses to both environmental and fisheries forcing., 20 pages more...
- Published
- 2017
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