To contribute to the body of knowledge aiming at a better coverage of ecosystem service assessment in LCA studies, this thesis dives into the challenges of incorporating existing ecosystem service... Show moreTo contribute to the body of knowledge aiming at a better coverage of ecosystem service assessment in LCA studies, this thesis dives into the challenges of incorporating existing ecosystem service methods within the impact assessment phase of the conventional LCA framework. Through this thesis, we present an overview of ecosystem service categories that could represent an optimal coverage for their inclusion in LCA, and provide a clear example on how to overcome the challenges of characterizing key environmental impacts that are otherwise missing or misrepresented in LCA results and that influence the quality and supply of ecosystem services. We demonstrate the approach proposed with the development of readily applicable CFs that will allow future LCA studies to account for land use impacts on pollinator abundance, and provide further evidence on the benefits of interdisciplinary collaboration as a way to strengthen our capacity to estimate anthropogenic impacts, with the use of expert elicitation methods as a valuable tool to fill in key data gaps. Lastly, we recommend to continue efforts towards an overarching archetype classification that can facilitate the inclusion of multiple biogeographical and socio-economic factors for the identification of representative patterns, and provide input across multiple impact categories at relevant spatial scales. Show less
Alejandre, E.M.; Potts, S.G.; Guinée, J.B.; Bodegom, P. M. van 2022
This study presents the first approach to characterise relative land use impacts on pollinator abundance for life cycle assessment (LCA). Pollinators make an essential contribution to global crop... Show moreThis study presents the first approach to characterise relative land use impacts on pollinator abundance for life cycle assessment (LCA). Pollinators make an essential contribution to global crop production and in recent years evidence of declines has raised concerns on how land use, among other factors, affects pollinators. Our novel method assesses land use impacts on pollinator abundance and proposes a new impact category that is compatible with the current framework of life cycle impact assessment (LCIA). While a systematic literature research showed the existence of multiple models that could assess pollinator abundance impacts, their parameterization is too complicated for applications in LCA. Therefore, a simplified method based on expert knowledge is presented. The practical application of the method is illustrated through the connection to, and characterisation of, relevant land use types derived from the widely used LCA database, ecoinvent. The illustrative characterisation factors demonstrate that key differences among land use types can be reflected through the proposed approach. Further development of robust characterisation factors through a larger sample of pollinator abundance estimates, and improvements to the model, such as considerations of spatial differentiation, will contribute to the identification of impacts of agricultural practices in LCA studies, helping prevent further pollinator abundance decline. Show less
