Hussain I guess you want to know the economic implications of climate change. There are several models that I know off that have been developed for effect on ocean productivity. Please search for bioeconomic models of climate change and you will get wealth of information. Simple population dynamic models have been linked to both climate and economics.
• Effect on production. An investment decision often has environmental impacts, which affects the quantity, quality or production costs of various outputs that may be valued readily in economic terms.
• Effect on health. This approach is based on health impacts caused by pollution and environmental degradation. One practical measure related to the effect on production is the value of human output lost due to ill health or premature death. The loss of potential net earnings (ie. human capital method) is one proxy for foregone output, to which the costs of health care or prevention may be added.
• Defensive or preventive costs. Often, costs may be incurred to mitigate the damage caused by an adverse environmental impact. For example, if the drinking water is polluted, extra purification may be needed. Then, such additional defensive or preventive expenditures (ex-post) could be taken as a minimum estimate of the benefits of mitigation.
• Replacement cost and shadow project. If an environmental resource that has been impaired is likely to be replaced in the future by another asset that provides equivalent services, then the costs of replacement may be used as a proxy for the environmental damage – assuming that the benefits from the original resource are at least as valuable as the replacement expenses. A shadow project is usually designed specifically to offset the environmental damage caused by another project. For example, if the original project was a dam that inundated some forest land, then the shadow project might involve the replanting of an equivalent area of forest, elsewhere.
• Travel cost. This method seeks to determine the demand for a recreational site (e.g. number of visits per year to a park), as a function of variables like price, visitor income, and socio-economic characteristics. The price is usually the sum of entry fees to the site, costs of travel, and opportunity
• cost of time spent. The consumer surplus associated with the demand curve provides an estimate of the value of the recreational site in question.
• Property Values. When relatively competitive markets exist for land, real estate prices may be decomposed into components attributable to different characteristics like house and lot size, air and water quality. The marginal willingness to pay (WTP) for improved local environmental quality is reflected in the increased price of housing in cleaner neighborhoods. This method has limited application in developing countries, since it requires a competitive housing market, as well as sophisticated data and tools of statistical analysis.
• Wage differences. As for property values, this method attempts to relate changes in the wage rate to environmental conditions, after accounting for the effects of all factors other than environment (e.g. age, skill level, job responsibility, etc.) that might influence wages.
• Proxy marketed goods. This method is useful when an environmental asset has no readily determined market value, but a close substitute exists which does have an accurate price. In such a case, the market price of the substitute may be used as a proxy for the value of the environmental resource.
• Benefit transfer. Value of the same resource in another comparable location is adjusted and used.
• Artificial market. Such markets are constructed for experimental purposes, to determine consumer
• WTP for a good or service. For example, a home water purification kit might be marketed at various price levels, or access to a game reserve may be offered on the basis of different admission fees, thereby facilitating the estimation of values.
• Contingent valuation. This method asks questions about how much persons might be willing to pay for an environmental asset, or how much compensation they would be willing to accept if they were deprived of that resource. CVM is more effective when the respondents are familiar with the good or service (e.g. water quality) and have adequate information to make choices. CVM, prudently applied, could provide estimates of value helpful in decision-making, especially if other valuation methods fail.