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Parameter uncertainty of a dynamic multi-species size spectrum model


Spence, MA and Blackwell, PG and Blanchard, JL, Parameter uncertainty of a dynamic multi-species size spectrum model, Canadian Journal of Fisheries and Aquatic Sciences, 73, (4) pp. 589-597. ISSN 0706-652X (2016) [Refereed Article]


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Copyright 2016 the Author Licensed under Creative Commons Attribution 4.0 International License (CC BY 4.0)

DOI: doi:10.1139/cjfas-2015-0022


Dynamic size spectrum models have been recognized as an effective way of describing how size-based interactions can give rise to the size structure of aquatic communities. They are intermediate complexity ecological models that are solutions to partial differential equations driven by the size-dependent processes of predation, growth, mortality and reproduction in a community of interacting species and sizes. To be useful for quantitative fisheries management these models need to be developed further in a formal statistical framework. Previous work has used time-averaged data to "calibrate" the model using optimization methods with the disadvantage of losing detailed time series information. Using a published multi-species size spectrum model parameterized for the North Sea comprising 12 interacting fish species and a background resource, we fit the model to time series data using a Bayesian framework for the first time. We capture the 1967-2010 period using annual estimates of fishing mortality rates as input to the model and time series of fisheries landings data to fit the model to output. We estimate 38 key parameters representing the carrying capacity of each species and background resource as well as initial inputs of the dynamical system and errors on the model output. We then forecast the model forward to evaluate how uncertainty propagates through to population- and community-level indicators under alternative management strategies.

Item Details

Item Type:Refereed Article
Keywords:multispecies modelling, size spectrum, indicators, ecosystem approach to fisheries
Research Division:Agricultural, Veterinary and Food Sciences
Research Group:Fisheries sciences
Research Field:Aquaculture and fisheries stock assessment
Objective Division:Environmental Management
Objective Group:Management of Antarctic and Southern Ocean environments
Objective Field:Assessment and management of Antarctic and Southern Ocean ecosystems
UTAS Author:Blanchard, JL (Professor Julia Blanchard)
ID Code:103267
Year Published:2016
Web of Science® Times Cited:17
Deposited By:Sustainable Marine Research Collaboration
Deposited On:2015-09-30
Last Modified:2022-08-30
Downloads:229 View Download Statistics

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