Fish simulation culture model (FIS-C): A bioenergetics based model for aquacultural wasteload application

McDonald, Michael E.; Tikkanen, Craig; Axler, Richard P; Larsen, Christen P.; Host, George E

doi:10.1016/0144-8609(96)00260-9

Cited by 38 publications

(27 citation statements)

References 15 publications

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“…Growth heterogeneity was frequently shown to be accompanied by food wastage (McCarthy et al 1992;Jobling and Baardvick 1994;McDonald et al 1996), but in our trial neither feed-demand nor feed wastage were different between the high and low CV w groups. In both cases, all the food delivered was ingested and, since all fish grew positively, it is very likely that they all had access to food.…”

Section: The Effects Of a Reduction In The Body Weight Coefficient Ofmentioning

confidence: 73%

Effect of size grading on sea bass (Dicentrarchus labrax) juvenile self-feeding behaviour, social structure and culture performance

Benhaïm

Péan

Brisset

et al. 2011

Aquat. Living Resour.

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-This study aims to test the influence of size grading on self-feeding behaviour, social structure (measured by the percentage of triggering acts per individual), growth performances, and blood physiological variables of individually passive integrated transponder (PIT)-tagged sea bass juveniles, using a computerized on-demand feeding system coupled with a PIT tag monitoring device. Three consecutive periods of 27 days each were compared: a first period (P1) before grading (6 tanks of 100 fish; 40.2 ± 8.9 g) followed by a second period (P2) after grading. The protocol applied aimed to create two groups of fish of similar mean weight but with either a low or a high coefficient of variation of weight (CV w ) corresponding to an imposed difference in social disruption (T low : CV w~1 0%, 3 tanks of 60 fish each with social disruption; T high: CV w~2 0%, 3 tanks of 60 fish each, without social disruption). T low and T high groups were studied over P2, and an additional 27-day period under identical conditions (P3). The grading protocol used and/or time modified the social structure when comparing P1 and P2. Thereafter, during P2 and P3, no difference could be observed in growth performances, feed demand, or physiological variables between T low and T high groups. Feeding rhythms and social structures were similar in both groups. In conclusion, such grading practice only transiently modifies feed demand behaviour and social structure built around the self-feeder, without further improvement in individual growth performances in sea bass.

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Section: The Effects Of a Reduction In The Body Weight Coefficient Ofmentioning

confidence: 73%

Effect of size grading on sea bass (Dicentrarchus labrax) juvenile self-feeding behaviour, social structure and culture performance

Benhaïm

Péan

Brisset

et al. 2011

Aquat. Living Resour.

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“…6). Most of the oxygen demand in the mixed layer during aquaculture (often more than 45 meters deep from artificial mixing) was previously shown to be due to fish respiration (Axler et al 1993;McDonald et al 1996). Hypolimnetic oxygen depletion was caused by settling organic wastes in the water column and by sediment oxygen demand.…”

Section: Resultsmentioning

confidence: 99%

Restoration of a Mine Pit Lake from Aquacultural Nutrient Enrichment

Axler¹,

Yokom²,

Tikkanen³

et al. 1998

Restoration Ecology

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Minnesota, the land of 10,000 lakes, also has more than 4000 abandoned quarry pits and over 200 deep, exhausted iron ore pits. In the past 25 years the iron ore pits have gradually filled with groundwater and surface water, forming lakes on the Cuyuna, Mesabi, and Vermillion Iron Ranges in northeastern Minnesota. Most remain abandoned, but besides creating a small number of recreational parks and fisheries, the regional economic development agency promoted approximately 20 of the pit lakes for economic reclamation by using them for salmonid aquaculture. Intensive net‐pen aquaculture was carried out from 1988 to 1995 in the Twin City–South and Sherman pit lakes on the Mesabi Range. A water quality controversy resulted over the potential for long‐term degradation of the lakes and regional aquifer. The Minnesota Pollution Control Agency then mandated that aquaculture be terminated in Twin City–South in May 1993 and the lake restored to preaquaculture conditions by 1996. With no management other than artificial aeration for one summer, the lake rapidly recovered to near baseline water quality and returned to an oligomesotrophic (unproductive) status. Within 18 months the phosphorus budget was typical of reference pit lakes in the area and dissolved oxygen in bottom water remained above ∼4 mg O2/L without artificial aeration. Algal growth was low in 1993, due to light limitation from artificial mixing, but it remained low in 1994 without any management due to renewed phosphorus limitation. Inorganic nitrogen initially decreased faster than expected, at a rate similar to its increase during intensive aquaculture. More rapid reductions in water column nutrients might have occurred in 1993 by reducing aeration to allow anoxia in the lower hypolimnion, promoting denitrification and minimizing sediment resuspension, but this was precluded by water quality standards. The “natural” burial of solid wastes under inorganic sediment eroded from the basin walls effectively minimized transport of sediment nutrients to the overlying water. Fallowing for several years provided a simple, effective method for restoration of these pit lakes from aquacultural impacts. No change attributable to aquaculture was observed in the water quality of three nearby pit lakes, including a drinking water source. This fact suggests that there were few or no impacts from off‐site migration of aquaculturally enriched water into the regional aquifer.

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“…These studies aim to quantify the fraction of supplied food that is released to the environment, as dissolved organic matter, as particulate organic matter or as nutrients, mainly nitrogen and phosphorus. Various mathematical models have been developed to estimate emissions from different cultivation methods of species and locations, for example McDonald et al (1996), Kaushik (1998), Lupatsch and Kissil (1998), Cho and Bureau (1998), Stigebrandt (1999), Nordvarg and Hakanson (2002), Papatryphon et al (2005), Chamberlain and Stucchi (2007), Yokoyama et al (2009) andPiedecausa et al (2010).…”

Section: Modelling Emissions From Aquaculture Farmsmentioning

confidence: 99%