An organic matter and nitrogen dynamics model for the ecological analysis of integrated aquaculture/agriculture systems: I. model development and calibration

Jamu, Daniel; Piedrahita, Raul H.

doi:10.1016/s1364-8152(02)00016-6

Cited by 47 publications

(31 citation statements)

References 37 publications

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“…Models developed over the last 30 years to simulate fish yield and profit maximization for pond aquaculture have typically used bio‐energetic approaches (Jorgensen 1976; van Dam & Pauly 1995; Jamu & Piedrahita 2002a, b), linear programming, multi‐period linear programming, optimal control theory, dynamic programming and marginal analysis (Allen et al 1984). For example, Talpaz and Tsar (1982) used optimal control theory to maximize profit by manipulating harvest, stock density and water flow as decision variables.…”

Section: Introductionmentioning

confidence: 99%

Simulation of optimal harvesting strategies for small-scale mixed-sex tilapia (Oreochromis shiranus Boulenger 1896) ponds using a bio-economic model

et al. 2007

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A cohort‐based bio‐economic biomass growth and economic model, validated with data from experiments conducted in Malawi, was used to identify an optimal harvesting strategy for mixed‐sex tilapia ponds. Three harvesting scenarios (baseline, economic optimum time +10 days and economic optimum time) were used. In each harvesting scenario four options were explored: (i) no further harvest, harvest every (ii) 60 days, (iii) 90 days and (iv) 120 days after initial harvest. The lowest simulated yield (487 kg ha−1 year−1) was obtained when no partial harvesting was carried out and fish were harvested after 365 days. Maximum yield (4416 kg ha−1 year−1) was obtained when partial harvests were carried out every 90 days starting with a first harvest of fish weighing 60 g or more at day 90. Maximum financial returns (US$2561 ha−1 year−1) were obtained when partial harvests were carried out every 120 days starting with the first harvest at day 90 and removing all fish ≥60 g. The model simulations indicate that mixed‐sex tilapia culture may be profitable for tilapia farmers in Africa where markets accept small (60–150 g)‐sized fish. The study further shows that a cohort‐based population growth model can be reliably incorporated in tilapia production models to simulate fish yields in mixed‐sex tilapia production systems. However, incorporation of intergenerational competition effects could improve the model's utility as a decision support tool for managing mixed‐sex tilapia production.

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Section: Introductionmentioning

confidence: 99%

Simulation of optimal harvesting strategies for small-scale mixed-sex tilapia (Oreochromis shiranus Boulenger 1896) ponds using a bio-economic model

et al. 2007

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“…to fully investigate the use of wastes/by-products at multiple levels of production, namely the Integrated Rabbit-Fish-Rice System. It compares well with the Integrated Aquaculture/Agriculture System that is capable of predicting fish growth and production, simulating crop biomass growth, soil organic matter and nitrogen concentrations based on waste recycling processes (Jamu and Piedrahita, 2002). Furthermore, it is fortunate that rabbit excrement contains several nutrients and also acts as a source of digestible energy.…”

Section: Introductionmentioning

confidence: 94%

Rabbit droppings as an organic fertilizer in earthen ponds, to improve growth and production of Nile tilapia, <i>Oreochromis niloticus</i> L., in Rwanda

Tabaro¹,

Mutanga²,

Rugege³

et al. 2013

RWJour

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“…Maintaining the right level of various dissolved gasses concentrations is one of the most important water quality functions in aquaculture systems [55,56]. The function of controlling DO and CO 2 includes all methods used to ensure that dissolved oxygen (DO) levels are kept close to an optimal value while carbon dioxide levels are limited.…”

Section: Controlling Do and Comentioning

confidence: 99%

Taxonomy of Means and Ends in Aquaculture Production—Part 1: The Functions

Björnsdóttir

Oddsson

Thorarinsdottir

et al. 2016

Water

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Abstract:The aquaculture sector has been increasing its share in the total fish production in the world. Numerous studies have been published about aquaculture, introducing a variety of techniques and methods that have been applied or could be applied in aquaculture production systems. The purpose of this study is to present a systemic overview of the functions of aquaculture production systems. Each function of an aquaculture system is applied to carry out a certain purpose. The results are divided into three sets of functions: input, treatment, and output. Input functions deal with what happens before the rearing area, treatment functions are about what happens inside the rearing area, and output functions is what comes out of the system. In this study, five input functions, ten treatment functions, and five output functions are indentified. For each function the controlling parameters or indicators were identified and then a list of possible methods or technological solutions in order to carry out the function was compiled. The results are presented in a system map that aggregates all functions used in different types of aquaculture systems along with their methods of solution. This is the first of four articles that together generate taxonomy of both means and ends in aquaculture. The aim is to identify both the technical solutions (means) that solve different functions (ends) and the corresponding functions. This article is about the functions.

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An organic matter and nitrogen dynamics model for the ecological analysis of integrated aquaculture/agriculture systems: I. model development and calibration

Cited by 47 publications

References 37 publications

Simulation of optimal harvesting strategies for small-scale mixed-sex tilapia (Oreochromis shiranus Boulenger 1896) ponds using a bio-economic model

Simulation of optimal harvesting strategies for small-scale mixed-sex tilapia (Oreochromis shiranus Boulenger 1896) ponds using a bio-economic model

Rabbit droppings as an organic fertilizer in earthen ponds, to improve growth and production of Nile tilapia, <i>Oreochromis niloticus</i> L., in Rwanda

Taxonomy of Means and Ends in Aquaculture Production—Part 1: The Functions

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