Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/29751
Title: Characterization Factors to Assess Land Use Impacts on Pollinator Abundance in Life Cycle Assessment
Authors: Alejandre, Elizabeth M 
Scherer, Laura 
Guinée, Jeroen B 
Aizen, Marcelo A 
Albrecht, Matthias 
Balzan, Mario V. 
Bartomeus, Ignasi 
Bevk, Danilo 
Burkle, Laura A 
Clough, Yann 
Cole, Lorna J. 
Delphia, Casey M 
Dicks, Lynn V 
Garratt, Michael P D 
Kleijn, David 
Kovács-Hostyánszki, Anikó 
Mandelik, Yael 
Paxton, Robert J 
Petanidou, Theodora 
Potts, Simon Geoffrey 
Sárospataki, Miklós 
Schulp, Catharina J E 
Stavrinides, Menelaos 
Stein, Katharina 
Stout, Jane Catherine 
Szentgyörgyi, Hajnalka 
Varnava, Androulla I. 
Woodcock, Ben A 
Van Bodegom, Peter M 
Major Field of Science: Agricultural Sciences
Field Category: Agricultural Biotechnology
Keywords: Delphi expert elicitation;agriculture;ecosystem service;impact assessment;pollinator abundance
Issue Date: 28-Feb-2023
Source: Environmental Science and Technology, 2023, vol. 57, iss. 8, pp. 3445 - 3454
Volume: 57
Issue: 8
Start page: 3445
End page: 3454
Abstract: While wild pollinators play a key role in global food production, their assessment is currently missing from the most commonly used environmental impact assessment method, Life Cycle Assessment (LCA). This is mainly due to constraints in data availability and compatibility with LCA inventories. To target this gap, relative pollinator abundance estimates were obtained with the use of a Delphi assessment, during which 25 experts, covering 16 nationalities and 45 countries of expertise, provided scores for low, typical, and high expected abundance associated with 24 land use categories. Based on these estimates, this study presents a set of globally generic characterization factors (CFs) that allows translating land use into relative impacts to wild pollinator abundance. The associated uncertainty of the CFs is presented along with an illustrative case to demonstrate the applicability in LCA studies. The CFs based on estimates that reached consensus during the Delphi assessment are recommended as readily applicable and allow key differences among land use types to be distinguished. The resulting CFs are proposed as the first step for incorporating pollinator impacts in LCA studies, exemplifying the use of expert elicitation methods as a useful tool to fill data gaps that constrain the characterization of key environmental impacts.
URI: https://hdl.handle.net/20.500.14279/29751
ISSN: 0013936X
DOI: 10.1021/acs.est.2c05311
Rights: © The Authors
Attribution-NonCommercial-NoDerivatives 4.0 International
Type: Article
Affiliation : Leiden University 
Delft University of Technology 
Universidad Nacional del Comahue 
Agroecology and Environment 
Malta College of Arts, Science and Technology 
Estación Biológica de Doñana 
National Institute of Biology 
Montana State University 
Lund University 
JF Niven Building 
Montana State University 
University of Cambridge 
University of East Anglia 
Wageningen University & Research 
Lendület Ecosystem Services Research Group 
Hebrew University of Jerusalem 
Martin Luther University Halle-Wittenberg 
German Centre for Integrative Biodiversity Research 
University of Aegean 
Hungarian University of Agriculture and Life Sciences 
Vrije Universiteit Amsterdam 
Cyprus University of Technology 
University of Rostock 
College Green 
Jagiellonian University 
UK Centre for Ecology & Hydrology 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

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