Mathematical modelling to assess the carrying capacity for multi-species culture within coastal waters

作者: P. Duarte , R. Meneses , A.J.S. Hawkins , M. Zhu , J. Fang

DOI: 10.1016/S0304-3800(03)00205-9

关键词: Environmental sciencePolycultureCarrying capacitySpatial distributionEcologyMonocultureKelpFisheryBayBiogeochemical cycleAquacultureEcological modelling

摘要: Abstract In the context of aquaculture, carrying capacity is generally understood as standing stock a particular species at which production maximised without negatively affecting growth rates. The estimation for aquaculture complex issue. That complexity stems from many interactions between and among cultivated non-cultivated species, well those their physical chemical environments. Mathematical models may help to resolve these interactions, by analysing them in dynamic manner. Previous have considered biogeochemical processes that influence great detail. However, tend been addressed very simplistically. Further, most modelling has monocultures, despite increasing importance multi-species (=polyculture) systems. We present here two-dimensional coupled physical–biogeochemical model implemented Sungo Bay, Shandong Province, People’s Republic China. Bay used extensive polyculture, where bivalve shellfish kelp are important species. Data collected over 13 years (1983–2000) was available modelling. Our main objectives were implement model, achieving reasonable calibration validation with independent data sets, use estimating environmental polyculture scallops oysters. Findings indicate successfully reproduces some features simulated system. Although requiring further work improve predictive capability parts, predictions clearly being exploited close suspension-feeding shellfish. Comparison different culture scenarios also indicates any significant increase yield will depend largely on more optimal spatial distribution

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