Modeling inflow rates for the water exchange management in semi-intensive aquaculture ponds

Gutiérrez‐Estrada, Juan Carlos; Pulido‐Calvo, Inmaculada; Rosa, Ignacio de la; Marchini, Bruno

doi:10.1016/j.aquaeng.2011.12.009

Cited by 16 publications

(6 citation statements)

References 32 publications

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“…It seems that mechanical treatment methods are generally not applied [18] in the articles reviewed here. Water exchange seems to be widely used in semi-intensive systems in order to improve water quality [20] as well as chemicals such as lime can be added to disinfect and dry semi-intensive ponds [18,21].…”

Section: Semi-intensive Aquaculture Systemsmentioning

confidence: 99%

A Definition of Aquaculture Intensity Based on Production Functions—The Aquaculture Production Intensity Scale (APIS)

Oddsson

2020

Water

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Aquaculture intensity has been used for years as a means to gauge how much production a site makes using three terms: extensive, semi-intensive and intensive aquaculture production systems. The industry has a relatively coordinated understanding of these terms, but an explicit general definition does not seem to exist. This paper aims to use three kinds of production function groups; the input, treatment and output functions to describe and define the terms extensive, semi-intensive and intensive explicitly. This is done with extensive literature review to find the meaning of the terms. The terms are then mapped onto the three production function groups. The resulting framework accomplishes two things. Firstly, it defines extensive, semi-intensive and intensive aquaculture in terms of production functions. Secondly, it creates an eight level scale, the aquaculture production intensity scale (APIS), that provides three levels of extensive systems, two level of semi-intensive systems and three level of intensive systems. APIS allows mapping of all uses of the terms in current literature to an APIS score, though some results might differ from current usage.

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Section: Semi-intensive Aquaculture Systemsmentioning

confidence: 99%

A Definition of Aquaculture Intensity Based on Production Functions—The Aquaculture Production Intensity Scale (APIS)

Oddsson

2020

Water

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“…In the work, a prediction model based on support vector regression is proposed, and genetic algorithms are used for the optimal selection of parameter values. Gutiérrez-Estrada et al (2012) evaluate several linear and nonlinear models for modeling the water exchange process in gilthead sea bream semi-intensive aquaculture systems; in particular, they use genetic algorithms to find the optimal values of the parameters of a fuzzy logic model. A very different application is the use of genetic algorithms in Table 10.1 General structure of a PSO algorithm environmental models to predict the potential distribution of invader species.…”

Section: Metaheuristics For Management Aquaculture Farmsmentioning

confidence: 99%

Swarm Intelligence in Optimal Management of Aquaculture Farms

Cobo

Llorente

Luna

2015

International Series in Operations Research &Amp; Management Science

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“…Xie & Li ). Within aquaculture, modelling approaches have been used as decision support systems (Gutierrez‐Estrada, Pulido‐Calvo, de la Rosa & Marchini ), however, the optimization of copepod productions never benefited from such tools. Because of its relatively low cost, modelling can help providing theoretical zoo‐technical and managerial solutions for the production of well described species without making great investments in terms of experimental work.…”

Section: Introductionmentioning

confidence: 99%

A first step towards improving copepod cultivation using modelling: the effects of density, crowding, cannibalism, tank design and strain selection on copepod egg production yields

Drillet

Lombard

2013

Aquac Res

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Copepods are the optimal live feed for hatcheries and improvement of cultivation techniques, to provide a constant food source, is crucial for the expansion of the industry. However, studies based on experimental work and real observations can be labour intensive and expensive. A simple model was developed based on the well-known life history traits of Acartia tonsa to describe batch cultures and their productivity. Model results were compared to observations from real cultures. For maximizing egg production yields, the optimal stocking density of copepods should be adapted to the design (depth) of the culture tanks. At high densities, stress due to encountering conspecifics, as well as cannibalism of eggs by adults, limits egg production yields. Using this model, the potential selection efficacy of copepod strains was also evaluated in order to increase production yields. Selecting larger copepods increases the egg production per litre of culture, but decreases the optimal stocking density and the range of densities at which egg production yield is high, and vice-versa. Selecting copepods that are less affected by stress due to conspecifics only affect production yields at very high adult densities. However, selecting copepods with a high Specific Growth Rate (SGR), or improving their SGR, was found to be an alternative which did not affect the optimal cultivation densities but improved egg production yields.

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Modeling inflow rates for the water exchange management in semi-intensive aquaculture ponds

Cited by 16 publications

References 32 publications

A Definition of Aquaculture Intensity Based on Production Functions—The Aquaculture Production Intensity Scale (APIS)

A Definition of Aquaculture Intensity Based on Production Functions—The Aquaculture Production Intensity Scale (APIS)

Swarm Intelligence in Optimal Management of Aquaculture Farms

A first step towards improving copepod cultivation using modelling: the effects of density, crowding, cannibalism, tank design and strain selection on copepod egg production yields

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