On the Impact of Biological Risk in Aquaculture Valuation and Decision Making
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arXiv
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| Format: | Preprint |
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2024
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| author | Ewald, Christian-Oliver Kamm, Kevin |
| author_facet | Ewald, Christian-Oliver Kamm, Kevin |
| contents | This paper explores the impact of stochastic mortality and disease on animal-based commodities, with a specific emphasis on aquaculture, particularly in the context of salmon farming. The investigation delves into the stochastic nature of mortality and treatment plans based on historical data related to salmon lice. Given that salmon lice pose a significant challenge in salmon farming, with associated treatment costs estimated to be comparable to feeding expenses, their removal is imperative to ensure the survival of the salmon and comply with the Norwegian government's stipulation of maintaining 0.5 lice per fish.
We propose a new model that considers the relationship between hosts and parasites to estimate the number of treatments required and their overall cost. An important aspect of this model is its incorporation of stochastic effectiveness for each removal. After calibrating the model to the available data, the study examines the stochastic behavior's impact on the optimal harvesting decision in comparison to deterministic mortality models. The results indicate an approximate $1.5\,\%$ increase in the value of the salmon farm when employing the harvesting rule based on the stochastic host-parasite model as opposed to a deterministic model. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_08686 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | On the Impact of Biological Risk in Aquaculture Valuation and Decision Making Ewald, Christian-Oliver Kamm, Kevin Applications Optimization and Control This paper explores the impact of stochastic mortality and disease on animal-based commodities, with a specific emphasis on aquaculture, particularly in the context of salmon farming. The investigation delves into the stochastic nature of mortality and treatment plans based on historical data related to salmon lice. Given that salmon lice pose a significant challenge in salmon farming, with associated treatment costs estimated to be comparable to feeding expenses, their removal is imperative to ensure the survival of the salmon and comply with the Norwegian government's stipulation of maintaining 0.5 lice per fish. We propose a new model that considers the relationship between hosts and parasites to estimate the number of treatments required and their overall cost. An important aspect of this model is its incorporation of stochastic effectiveness for each removal. After calibrating the model to the available data, the study examines the stochastic behavior's impact on the optimal harvesting decision in comparison to deterministic mortality models. The results indicate an approximate $1.5\,\%$ increase in the value of the salmon farm when employing the harvesting rule based on the stochastic host-parasite model as opposed to a deterministic model. |
| title | On the Impact of Biological Risk in Aquaculture Valuation and Decision Making |
| topic | Applications Optimization and Control |
| url | https://arxiv.org/abs/2402.08686 |