Modeling Climate Change and the Effect on the Norwegian Salmon Farming Industry

Lorentzen, Torbjørn

doi:10.1111/j.1939-7445.2008.00018.x

Cited by 27 publications

(26 citation statements)

References 13 publications

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“…A significant proportion of these studies have focused on determining the most profitable harvesting time of a culture cycle, taking into account the influence of discount rates, feed purchases and other costs (Bjorndal [1988], Hean [1994]) or the scale of prices (Mistiaen and Strand [1999]). These results are complemented by analyses of the optimal feed schedule during the culture (Arnason [1992], Hernández et al [2007]), gradual culling (Heaps [1995]) and the influence of certain exogenous factors such as environmental protection measures (León‐Santana and Hernández [2008]) or climate change (Lorenzen [2008]).…”

Section: Optimal Harvesting In Fish Culture1mentioning

confidence: 99%

Optimal Harvesting Time of Farmed Aquatic Populations With Nonlinear Size‐heterogeneous Growth

Araneda¹,

Hernández²,

Gasca‐Leyva³

2011

Natural Resource Modeling

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Abstract. This paper examines the question of optimal harvesting time in a size-heterogeneous farmed aquatic population, using a model reflecting the effect of population density on both overall mortality rate and individual growth. This analysis enables an optimal harvesting rule to be deduced. The results obtained are applied to shrimp culture in recirculation systems in Mexico. Numerical solutions are derived for different production scenarios. Assuming identical culture conditions, results are also obtained under the hypothesis of homogeneous population growth, the view traditionally taken in the relevant economic literature. The optimal harvesting times calculated tend to decrease with higher densities, although this rule fails under the size-heterogeneous population model. In general, optimal harvesting times are overestimated when size-homogeneity in the culture is assumed. Our analysis reveals that management predictions are significantly mistaken if the size-heterogeneity phenomenon is not taken into account.

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Section: Optimal Harvesting In Fish Culture1mentioning

confidence: 99%

Optimal Harvesting Time of Farmed Aquatic Populations With Nonlinear Size‐heterogeneous Growth

Araneda¹,

Hernández²,

Gasca‐Leyva³

2011

Natural Resource Modeling

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“…Climate change is expected to affect the aquaculture industry, including salmon and trout farming (Battaglene et al . ; Lorentzen ; Hobday et al . ).…”

Section: Introductionmentioning

confidence: 99%

Protein and energy nutrition of brook trout (Salvelinus fontinalis) at optimal and elevated temperatures

et al. 2014

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The digestible protein (DP) and digestible energy (DE) requirements for maintenance and growth of brook trout (Salvelinus fontinalis) were determined using a factorial model at either optimum (15°C) or elevated temperature (19°C). Several key parameters of the factorial model were measured using a series of inter-related studies. The maintenance requirements for DP and DE were 0.10 gDP kg À0.69 day À1 (15°C) and 0.31 gDP kg À0.78 day À1 (19°C), and 34.86 kJDE kg À0.84 day À1 (15°C) and 46.14 kJDE kg À0.86 day À1 (19°C). The total requirements for DP were 0.10 gDP kg À0.69 day À1 + 2.14PG (protein gain) (15°C) and 0.31 gDP kg À0.78 day À1 + 1.98PG (19°C). The total requirements for DE were 36.86 kJDE kg À0.84 day À1 + 1.58EG (energy gain) (15°C) and 46.14 kJDE kg À0.86 day À1 + 1.64EG (19°C). The partial efficiencies for growth were 0.47 (15°C) and 0.51 (19°C) for protein, and 0.63 (15°C) and 0.61 (19°C) for energy. Nutrient gain was lower at the elevated temperature; however, feed formulation for brook trout should be adjusted to match changes in nutrient requirements at different culture temperatures. The protein and energy requirements model will be useful for developing commercial feeds and feeding charts for brook trout.

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“…To date, the more technical investigation of economic impacts of climate change on aquaculture has involved intensive modelling exercises of Norwegian salmon farming or more general investigations of effects for aquaculture in the Tropical Pacific region. Lorentzen (2008) analysed the effect of more volatile sea surface temperature on the economics of salmon farming in Norway, while Hermansen & Heen (2012) considered the impact of temperature changes on the spatial distribution of production and employment. One result is the shift of production further north in response to increasing temperatures, with potential effects on production and transportation costs.…”

Section: Aquaculture Economicsmentioning

confidence: 99%

Climate change and aquaculture: considering biological response and resources

Reid¹,

Gurney-Smith²,

Dj³

et al. 2019

Aquacult. Environ. Interact.

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The heavy reliance of most global aquaculture on the ambient environment suggests inherent vulnerability to climate change effects. This review explores the potential effects of climate change stressors on aquaculture biology and resources needed to support decision-making for vulnerability assessment, planned adaptation, and strategic research development. Climate change-mediated physiochemical outcomes important to aquaculture include extreme weather, precipitation and surge-based flooding, water stress, ocean acidification, sea-level rise, saltwater intrusion, and changes to temperature, salinity, and dissolved oxygen. Culture practices, environment, and region affect stressor exposure, and biological response between species or populations are not universal. Response to a climate change stressor will be a function of where changes occur relative to optimal ranges and tolerance limits of an organism's life stage and physiological processes; the average magnitude of the stressor over the production cycle; stressor rate of change; variation, frequency, duration, and magnitude of extremes; epigenetic expression, genetic strain, and variation within and between populations; health and nutrition; and simultaneous stressor occurrence. The effects of simultaneous stressors will frequently interact, but may not be fully additive or synergistic. Disease is a major aquaculture limiter, and climate change is expected to further affect plant and animal health through the host and/or infectious agents. Climate change may introduce further complexity to the aquaculture−wild fishery relationship, with over two-thirds of animal aquaculture production dependent on external feed inputs. Higher production costs could be an economic outcome of climate change for many aquaculture sectors. Some aquaculture practices may inadvertently reduce resiliency to climate change, such as a reduction of coastal vegetation, coastal ground-water pumping, and reduction of population variability in pursuit of consistent production traits. Information from the largest aquaculture producers such as China and the top 3 global culture species is still sparse in the literature. This potentially limits thorough understanding of climate change effects on some regional aquaculture sectors.

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Modeling Climate Change and the Effect on the Norwegian Salmon Farming Industry

Cited by 27 publications

References 13 publications

Optimal Harvesting Time of Farmed Aquatic Populations With Nonlinear Size‐heterogeneous Growth

Optimal Harvesting Time of Farmed Aquatic Populations With Nonlinear Size‐heterogeneous Growth

Protein and energy nutrition of brook trout (Salvelinus fontinalis) at optimal and elevated temperatures

Climate change and aquaculture: considering biological response and resources

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