13 resultados para Economic impacts.

em University of Queensland eSpace - Australia


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Socioeconomic considerations should have an important place in reserve design, Systematic reserve-selection tools allow simultaneous optimization for ecological objectives while minimizing costs but are seldom used to incorporate socioeconomic costs in the reserve-design process. The sensitivity of this process to biodiversity data resolution has been studied widely but the issue of socioeconomic data resolution has not previously been considered. We therefore designed marine reserves for biodiversity conservation with the constraint of minimizing commercial fishing revenue losses and investigated how economic data resolution affected the results. Incorporating coarse-resolution economic data from official statistics generated reserves that were only marginally less costly to the fishery than those designed with no attempt to minimize economic impacts. An intensive survey yielded fine-resolution data that, when incorporated in the design process, substantially reduced predicted fishery losses. Such an approach could help minimize fisher displacement because the least profitable grounds are selected for the reserve. Other work has shown that low-resolution biodiversity data can lead to underestimation of the conservation value of some sites, and a risk of overlooking the most valuable areas, and we have similarly shown that low-resolution economic data can cause underestimation of the profitability of some sites and a risk of inadvertently including these in the reserve. Detailed socioeconomic data are therefore an essential input for the design of cost-effective reserve networks.

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This paper provides a profit-maximizing model with vessel-level dolphin mortality limits for purse seiners harvesting tunas in the eastern tropical Pacific Ocean. The model analytically derives the shadow price (estimated economic value) for dolphin mortality, the fishing-fleet size, and the annual tuna harvest as functions of a few key fishing parameters. The model also provides a statistical method to determine the accuracy of all needed parameter estimates. The paper then applies the model to the year 1996 and the period from 1985 to 1987. The shadow price measures the economic value to the US tuna fleet of dolphins lost in the harvesting of tuna. This value is essential when attempting to evaluate the economic benefits and costs to society of any action designed to reduce the mortality of dolphins in the harvesting of tuna in the eastern tropical Pacific Ocean.

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By combining economic analysis of markets with ecological parameters, this article considers the role that tourism-based sea turtle hatcheries (of an open-cycle type) can play in conserving populations of sea turtles. Background is provided on the nature and development of such hatcheries in Sri Lanka. The modeling facilitates the assessment of the impacts of turtle hatcheries on the conservation of sea turtles and enables the economic and ecological consequences of tourism, based on such hatcheries, to be better appreciated. The results demonstrate that sea turtle hatcheries serving tourists can make a positive contribution to sea turtle conservation, but that their conservation effectiveness depends on the way they are managed. Possible negative effects are also identified. Economic market models are combined with turtle population survival relationships to predict the conservation impact of turtle hatcheries and their consequence for the total economic value obtained from sea turtle populations.

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This article trials three conceptual frameworks on an Australian case study of a small remote city suffering lead contamination, with cumulative effects from concurrent economic change due to downsizing in the mining industry. It interprets the usefulness of these frameworks, and explores two questions: can they apply to circumstances other than project assessment, and what are their relative merits as guides to SIA? All the frameworks reviewed can be used in non-project and cumulative SIA, although, if they had been used to predict the impacts in our case study, we may easily have been misled as to the resilience of the community. Choosing among these frameworks becomes a matter personal preference: each has different merits.

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