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Title: Testing theories on fisheries recruitment
Author: Sinerchia, Matteo
ISNI:       0000 0001 3414 5089
Awarding Body: Imperial College London (University of London)
Current Institution: Imperial College London
Date of Award: 2007
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I have designed, coded and tested a new ecosystem model (the Lagrangian Ensemble Recruitment Model or LERM) to predict fisheries recruitment in a Virtual Ecosystem. This LERM is based on the Lagrangian Ensemble metamodel, which treats plankton as individuals obeying phenotypic equations for behaviour and physiology. The model extends the classical food chain. Physical environment is computed by submodels for optics (Liu, 25 spectral bands) and turbulence (WB mixed layer model). Chemical environment includes three nutrients (ammonia, nitrate, silicate) in solution and in Droop pools in each plankter. Diatoms feature Geider photo-adaptation, in which the growth rate and chlorophyll content of a cell vary with ambient irradiance, temperature and nutrient concentration. Copepods perform diel migration; ingestion is based on gut capacity; the ingested carbon is dynamically allocated to lipid, protein and carapace pools. Growth is staged to allow size specific ingestion by predators. They have an energy cost for each metabolic activity (basal, digestion, swimming). Squid include an explicit embryonic phase (temperature dependent) that determines the size and stoichiometry of the hatchling. They feed visually on the copepods and smaller squid, until they grow too big and switch diet. As in the copepods, respiration is related to activities (basal, new tissue production, swimming, feeding), which vary independently. Squid paralarvae are eaten by top predators with exogenous demography (trophic closure). The model is being used to realistically describe the trophic relations within the ecosystem (e.g. predator-prey interactions) and to test Cushing’s match-mismatch theory.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available