A bio-physical coastal ecosystem model for assessing environmental effects of marine bivalve aquaculture
By Michael Dowd. 2005
101 citations recorded by the source corpus.
Subfields: Global and Planetary Change, Oceanography
View Paper: https://www.semanticscholar.org/paper/65c0eefee254c24218b5d58829adce1e83257440
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In Global and Planetary Change
In Oceanography
- P. Cranford
- Jon Grant
- B. Hargrave
- M. Archambault
- P. Strain
- Michael Dowdd
- Jon Granta
- Thomas L. Guyondetb
Citations in the corpus
- A sequential Monte Carlo approach for marine ecological prediction (2006, methodology): “Note that the remaining static parameters are assumed fixed and known, with their values taken from field and lab studies (cf. Dowd, 2005).”
- Influence of mussel aquaculture on nitrogen dynamics in a nutrient enriched coastal embayment (2007, methodology): “Although there are no field data to validate these specific estimates, model formulations of the benthic component are based on robust equations of the important geochemical processes involved (Dowd 2005).”
- Bayesian statistical data assimilation for ecosystem models using Markov Chain Monte Carlo (2007, methodology): “It evolves according to the (Langevin) equation dg dt ¼ gseasðtÞ−agþ eg ð17Þ where gseas(t) represents deterministic forcing corresponding to the maximum light limited growth rate computed using surface irradiance, attenuation, and a photosynthesis–irradiance curves (c.f. Dowd, 2005).”
- A box model of carrying capacity for suspended mussel aquaculture in Lagune de la Grande-Entrée, Iles-de-la-Madeleine, Québec (2007, methodology): “This has been the focus of previous modelling studies including Grant et al. (1993), Dowd (1997), Campbell and Newell (1998), and Dowd (2005).”
- Review of recent carrying capacity models for bivalve culture and recommendations for research and management (2006, background): “Typical variables included in more complex models include nutrients, phytoplankton, zooplankton, the farmed species, and detritus as well as varying levels of complexity of interactions among these components (feedbacks among these variables, temperature-dependent interactions, etc) (Dowd, 2005).”