2016
DOI: 10.1007/s11367-016-1077-x
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A spatially explicit life cycle assessment midpoint indicator for soil quality in the European Union using soil organic carbon

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Cited by 19 publications
(43 citation statements)
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“…For agri-food products, impact indicators related with land use are especially relevant [78]. Several regionalized impact models are now available and widely recommended for biodiversity [79,80], biotic production potential [81,82] and other ecosystem services [83]. Freshwater eutrophication should be a priority as well, as fertilizer application is crucial in theses pastures and nitrogen leaching is a pressing environmental issue in Azores, negatively affecting water quality [84,85].…”
Section: Indirect Sources Of Emissionsmentioning
confidence: 99%
“…For agri-food products, impact indicators related with land use are especially relevant [78]. Several regionalized impact models are now available and widely recommended for biodiversity [79,80], biotic production potential [81,82] and other ecosystem services [83]. Freshwater eutrophication should be a priority as well, as fertilizer application is crucial in theses pastures and nitrogen leaching is a pressing environmental issue in Azores, negatively affecting water quality [84,85].…”
Section: Indirect Sources Of Emissionsmentioning
confidence: 99%
“…For example, Morais et al (2016) used the LUCASOIL database and this model to calculate land use CFs for the European Union. Regarding the other models, they did not always stand out in terms of environmental relevance and comprehensiveness.…”
Section: Comprehensiveness Specificity In Covering Key Impacts On Somentioning
confidence: 99%
“…Besides placing more emphasis on the regionalization of the inventories and activity data, these additional impact categories should also be assessed using regionalized life cycle impact assessment methods [31]. There are now multiple highly regionalized methods available, mainly focusing on land use [61,62] and biodiversity impacts [63,64].…”
Section: Discussionmentioning
confidence: 99%