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Global characterization factors for terrestrial biodiversity impacts of future land inundation in Life Cycle Assessment.
Dorber, Martin; Kuipers, Koen; Verones, Francesca.
  • Dorber M; Department of Energy and Process Engineering, NTNU, Høgskoleringen 5, 7491 Trondheim, Norway.
  • Kuipers K; Department of Energy and Process Engineering, NTNU, Høgskoleringen 5, 7491 Trondheim, Norway.
  • Verones F; Department of Energy and Process Engineering, NTNU, Høgskoleringen 5, 7491 Trondheim, Norway.
Sci Total Environ ; 712: 134582, 2020 Apr 10.
Article en En | MEDLINE | ID: mdl-31831240
ABSTRACT
Life Cycle Assessment (LCA) is a tool for analyzing and comparing environmental impacts of products throughout their life cycles, facilitating shifts towards more environmentally friendly products. However, LCA does currently not address terrestrial biodiversity impacts related to the conversion of terrestrial habitat into aquatic habitat. This conversion can occur because of sea level rise, establishment of new land-based aquaculture, as well as reservoir expansion or creation. Here, we focus on land occupation and terrestrial biodiversity impacts, while transformation impacts, and habitat gain for aquatic species were beyond the scope of the study. To be able to estimate the regional and global terrestrial biodiversity impacts of future land occupation from terrestrial to aquatic habitat in LCA, we developed new characterization factors (CFs) for 781 terrestrial ecoregions, 5 land cover/use types, and 4 taxonomic groups. The basis for the development of the proposed CFs is the model concept of the currently recommended method for quantifying land use impacts on biodiversity in LCA by the Life Cycle Initiative hosted by United Nations Environmental Program. The global CFs vary between 7.44 E-20 PDF/m2 and 6.25 E-09 PDF/m2, showing that a highly variable terrestrial biodiversity impact of land inundation between land cover/use types, taxonomic groups and ecoregions exists.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Biodiversidad Tipo de estudio: Prognostic_studies Idioma: En Año: 2020 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Biodiversidad Tipo de estudio: Prognostic_studies Idioma: En Año: 2020 Tipo del documento: Article