SPRAT: A spatially-explicit marine ecosystem model based on population balance equations.

Johanson, Arne, Oschlies, Andreas , Hasselbring, Wilhelm and Worm, Boris (2017) SPRAT: A spatially-explicit marine ecosystem model based on population balance equations. Ecological Modelling, 349 . pp. 11-25. DOI 10.1016/j.ecolmodel.2017.01.020.

[img] Text
1-s2.0-S0304380017300704-main.pdf - Published Version
Restricted to Registered users only

Download (2097Kb) | Contact

Supplementary data:

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-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.

Document Type: Article
Additional Information: FO Sust. - Digital Ocean
Keywords: End-to-end modeling; Population balance equation; Fish stock prediction; Ecosystem-based management
Research affiliation: OceanRep > GEOMAR > FB2 Marine Biogeochemistry > FB2-BM Biogeochemical Modeling
Kiel University > Kiel Marine Science
OceanRep > The Future Ocean - Cluster of Excellence
Kiel University > Software Engineering
OceanRep > The Future Ocean - Cluster of Excellence > FO-R11
Kiel University
Refereed: Yes
Open Access Journal?: No
DOI etc.: 10.1016/j.ecolmodel.2017.01.020
ISSN: 0304-3800
Projects: Sprat, HOSST, Future Ocean
Date Deposited: 05 Feb 2017 15:27
Last Modified: 01 Feb 2019 15:02
URI: http://oceanrep.geomar.de/id/eprint/36415

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...