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Ecological resource potential

The ecological resource potential (ERP) method allows to calculate the amount of one material that can potentially be produced within Earth system boundaries, if no other anthropogenic activity would take place. It indicates the uppermost potential of one resource extracted, processed and disposed a...

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Detalles Bibliográficos
Autores principales: Desing, Harald, Braun, Gregor, Hischier, Roland
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7701796/
https://www.ncbi.nlm.nih.gov/pubmed/33299806
http://dx.doi.org/10.1016/j.mex.2020.101151
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author Desing, Harald
Braun, Gregor
Hischier, Roland
author_facet Desing, Harald
Braun, Gregor
Hischier, Roland
author_sort Desing, Harald
collection PubMed
description The ecological resource potential (ERP) method allows to calculate the amount of one material that can potentially be produced within Earth system boundaries, if no other anthropogenic activity would take place. It indicates the uppermost potential of one resource extracted, processed and disposed after use with a specific set of technologies and a defined probability of violating Earth system boundaries. This method is an adaption of the ecological resource availability (ERA) method, which calculates the amount of a resource that can be produced within an allocated share of the global boundaries, i.e. when considering all other anthropogenic activities. While more realistic, its allocation can be done in multiple ways and based on a variety of different objectives, which requires scenario modelling. The ERP method, in contrary, only requires information on environmental impacts from resource extraction, processing, and final disposal. The customization of the original ERA method comprises: • Omitting all steps for allocating global boundaries to single resources or resource segments. • Changing the calculation procedure so that ERP is calculated for each resource separately.
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spelling pubmed-77017962020-12-08 Ecological resource potential Desing, Harald Braun, Gregor Hischier, Roland MethodsX Method Article The ecological resource potential (ERP) method allows to calculate the amount of one material that can potentially be produced within Earth system boundaries, if no other anthropogenic activity would take place. It indicates the uppermost potential of one resource extracted, processed and disposed after use with a specific set of technologies and a defined probability of violating Earth system boundaries. This method is an adaption of the ecological resource availability (ERA) method, which calculates the amount of a resource that can be produced within an allocated share of the global boundaries, i.e. when considering all other anthropogenic activities. While more realistic, its allocation can be done in multiple ways and based on a variety of different objectives, which requires scenario modelling. The ERP method, in contrary, only requires information on environmental impacts from resource extraction, processing, and final disposal. The customization of the original ERA method comprises: • Omitting all steps for allocating global boundaries to single resources or resource segments. • Changing the calculation procedure so that ERP is calculated for each resource separately. Elsevier 2020-11-20 /pmc/articles/PMC7701796/ /pubmed/33299806 http://dx.doi.org/10.1016/j.mex.2020.101151 Text en © 2020 The Author(s). Published by Elsevier B.V. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Method Article
Desing, Harald
Braun, Gregor
Hischier, Roland
Ecological resource potential
title Ecological resource potential
title_full Ecological resource potential
title_fullStr Ecological resource potential
title_full_unstemmed Ecological resource potential
title_short Ecological resource potential
title_sort ecological resource potential
topic Method Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7701796/
https://www.ncbi.nlm.nih.gov/pubmed/33299806
http://dx.doi.org/10.1016/j.mex.2020.101151
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