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• W2891736036 abstract "Life cycle impact assessment uses so-called characterization factors to address different types of environmental impact (e.g. climate change, particulate matter, land use…). For the topic of resource depletion, a series of proposals was based on heuristic and formal arguments, but without the use of expert-based models from relevant research areas. A recent study in using fish population models has confirmed the original proposal for characterization factors for biotic resources of the nineties. Here we trace the milestones of the arguments and the designs of resource depletion, delivering an ecological-based foundation for the biotic case, and extend it by a novel analysis of the Hubbert peak theory for the abiotic case. We show that the original abiotic depletion potential, used for two decades in life cycle assessment, estimates accurately a marginal depletion characterization factor obtained from a dynamic model of the available reserve. This is illustrated for 29 metal resources using published data." @default.
• W2891736036 created "2018-09-27" @default.
• W2891736036 creator A5002330623 @default.
• W2891736036 creator A5060928124 @default.
• W2891736036 date "2019-02-01" @default.
• W2891736036 modified "2023-09-30" @default.
• W2891736036 title "Resource depletion potentials from bottom-up models: Population dynamics and the Hubbert peak theory" @default.
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• W2891736036 doi "https://doi.org/10.1016/j.scitotenv.2018.09.119" @default.
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