2012
DOI: 10.1007/s11367-012-0488-6
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Baseline time accounting: Considering global land use dynamics when estimating the climate impact of indirect land use change caused by biofuels

Abstract: Purpose Current estimations of the climate impact from indirect land use change (ILUC) caused by biofuels are heavily influenced by assumptions regarding the biofuel production period. The purpose of this paper is to propose a new method (baseline time accounting) that takes global land use dynamics into account that is consistent with the global warming potential, that is applicable to any phenomenon causing land use change, and that is independent of production period assumptions. Methods We consider ILUC in… Show more

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Cited by 47 publications
(29 citation statements)
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“…After becoming aware of a letter to the editor from Martin (2013), we realize there is a need for further elaboration of the baseline time accounting method laid out in Kløverpris and Mueller (2013). In the following, we address Martin's comments.…”
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confidence: 99%
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“…After becoming aware of a letter to the editor from Martin (2013), we realize there is a need for further elaboration of the baseline time accounting method laid out in Kløverpris and Mueller (2013). In the following, we address Martin's comments.…”
mentioning
confidence: 99%
“…For additional discussion, we refer to Sect. 4.1.2 in Electronic supplementary material 1 of Kløverpris and Mueller (2013), particularly.…”
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confidence: 99%
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“…The method development for assessing indirect land use change (e.g. Kløverpris and Mueller (2013), Schmidt et al (2015)) seems to have evolved in parallel to the UNEP-SETAC guideline , rather than directly from it. The methods developed in conjunction with the UNEP-SETAC guideline on global land use impact assessment are referred to as land use methods in this paper.…”
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confidence: 99%
“…The baseline time accounting paper of Kløverpris and Mueller (2013) provides an interesting perspective on an important issue, but the value of their insight is diminished by the failure to include a full consideration of the importance of the timeframe of the analysis. Their examples reevaluate analyses of two existing indirect land use change (ILUC) studies, both of which were based on a 30-year timeframe (Searchinger et al 2008;Hertel et al 2010).…”
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confidence: 99%