Ecosystem model parameter set for a near-shore Antarctic food web

• Format: Dataset
• Language: unknown
• Published: Australian Ocean Data Network
• Subjects: environment; oceans; EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS > ECOSYSTEM FUNCTIONS; FOOD-WEB; NEAR-SHORE; MODELS; AMD/AU; AMD; CEOS; GEOGRAPHIC REGION > POLAR; CONTINENT > ANTARCTICA; OCEAN > SOUTHERN OCEAN; Antarctic; Southern Ocean; Bates; Nash; Antarc*; Antarctica
• Online Access: https://researchdata.edu.au/ecosystem-model-parameter-food-web/2818776

Progress Code: completed Statement: The dates provided in temporal coverage represent the start and end dates of the AAS project. The coordinates provided in spatial coverage are generic Antarctic coastline coordinates. This parameter set was developed to provide a plausible implementation for the ecological model described in Bates, M., S Bengtson Nash, D.W. Hawker, J. Norbury, J.S. Stark and R. A. Cropp. 2015. Construction of a trophically complex near-shore Antarctic food web model using the Conservative Normal framework with structural coexistence. Journal of Marine Systems. 145: 1-14. The ecosystem model used in this paper was designed to have the property of structural coexistence. This means that the functional forms used to describe population interactions in the equations were chosen to ensure that the boundary eigenvalues of every population were all always positive, ensuring that no population in the model can ever become extinct. This property is appropriate for models such as this that are implemented to model typical seasonal variations rather than changes over time. The actual parameter values were determined by searching a parameter space for parameter sets that resulted in a plausible distribution of biomass among the trophic levels. The search was implemented using the Boundary Eigenvalue Nudging - Genetic Algorithm (BENGA) method and was constrained by measured values where these were available. This parameter set is provided as an indicative set that is appropriate for studying the partitioning of Persistent Organic Pollutants in coastal Antarctic ecosystems. It should not be used for predictive population modelling without independent calibration and validation.