The global ocean is an ecosystem: simulating marine life and fisheries. Issue 5 (2nd February 2015)

• Record Type: Journal Article
• Authors: Christensen, Villy; Coll, Marta; Buszowski, Joe; Cheung, William W. L.; Frölicher, Thomas; Steenbeek, Jeroen; Stock, Charles A.; Watson, Reg A.; Walters, Carl J.
• Is Part Of: Global ecology & biogeography. Volume 24:Issue 5(2015:May)
• Page Start: 507
• Page End: 517
• Publication Date: 2015-02-02
• Subjects: Ecology -- Periodicals; Biogeography -- Periodicals; Biodiversity -- Periodicals; Macroevolution -- Periodicals; 577
• DOI: 10.1111/geb.12281
• Languages: English
• ISSNs: 1466-822X

Abstract

<abstract abstract-type="main"> <title>Abstract</title> <sec id="geb12281-sec-0001" sec-type="section"> <title>Aim</title> <p>There has been considerable effort allocated to understanding the impact of climate change on our physical environment, but comparatively little to how life on Earth and ecosystem services will be affected. Therefore, we have developed a spatial–temporal food web model of the global ocean, spanning from primary producers through to top predators and fisheries. Through this, we aim to evaluate how alternative management actions may impact the supply of seafood for future generations.</p> </sec> <sec id="geb12281-sec-0002" sec-type="section"> <title>Location</title> <p>Global ocean.</p> </sec> <sec id="geb12281-sec-0003" sec-type="section"> <title>Methods</title> <p>We developed a modelling complex to initially predict the combined impact of environmental parameters and fisheries on global seafood production, and initially evaluated the model's performance through hindcasting. The modelling complex has a food web model as core, obtains environmental productivity from a biogeochemical model and assigns global fishing effort spatially. We tuned model parameters based on Markov chain random walk stock reduction analysis, fitting the model to historic catches. We evaluated the goodness‐of‐fit of the model to data for major functional groups, by spatial management units and globally.</p> </sec> <sec id="geb12281-sec-0004" sec-type="section"> <title>Results</title> <p>This model is the most detailed ever constructed of global fisheries, and it was able to replicate broad patterns of historic fisheries catches with best agreement for the total catches and good agreement for species groups, with more variation at the regional level.</p> </sec> <sec id="geb12281-sec-0005" sec-type="section"> <title>Main conclusions</title> <p>We have developed a modelling complex that can be used for evaluating the combined impact of fisheries and climate change on upper‐trophic level organisms in the global ocean, including invertebrates, fish and other large vertebrates. The model provides an important step that will allow global‐scale evaluation of how alternative fisheries management measures can be used for mitigation of climate change.</p> </sec> </abstract>