Characterization Factors to Assess Land Use Impacts on Pollinator Abundance in Life Cycle Assessment.

Characterization Factors to Assess Land Use Impacts on Pollinator Abundance in Life Cycle Assessment.
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DOI:
10.1021/acs.est.2c05311
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发表时间:
2023-02-28
影响因子:
11.4
通讯作者:
van Bodegom, Peter M.
van Bodegom, Peter M.
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Alejandre, Elizabeth M.;Scherer, Laura;Guinee, 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;Kovacs-Hostyanszki, Aniko;Mandelik, Yael;Paxton, Robert J.;Petanidou, Theodora;Potts, Simon;Sarospataki, Miklos;Schulp, Catharina J. E.;Stavrinides, Menelaos;Stein, Katharina;Stout, Jane C.;Szentgyorgyi, Hajnalka;Varnava, Androulla I.;Woodcock, Ben A.;van Bodegom, Peter M.

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虽然野生传粉者在全球粮食生产中发挥着关键作用,但目前最常用的环境影响评估方法,即生命周期评估(LCA)中缺少对它们的评估。这主要是由于数据可用性和与生命周期评估清单的兼容性方面的限制。针对这一差距,相对授粉丰度估计获得了使用德尔菲评估,在此期间,25名专家,涵盖16个民族和45个国家的专业知识,提供分数低,典型的,和高预期的丰富与24个土地利用类别。基于这些估计,本研究提出了一套全球通用的表征因素(CF),允许翻译成相对影响的野生传粉昆虫丰度的土地利用。相关的不确定性的CF沿着与一个说明性的情况下,以证明在LCA研究的适用性。基于德尔菲评估期间达成共识的估算的CF被推荐为易于适用,并允许区分土地利用类型之间的关键差异。由此产生的CFs提出的第一步,将传粉者的影响,LCA研究,举例说明使用专家启发的方法作为一个有用的工具,以填补数据空白,限制表征的关键环境影响。本研究采用德尔菲专家启发式,得出全球代表性的表征因素,估计土地利用对生命周期评估的相对野生传粉者丰度的影响。
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. This study applies a Delphi expert elicitation to derive globally representative characterization factors for estimating land use impacts on the relative wild pollinator abundance for Life Cycle Assessment.
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