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An LCA-based approach to integrate drained peatland emissions into the carbon footprint of dairy production: a case study from the pre-alpine region of Southern Germany

Müller, Anna-Lena 1; Pardo, Guillermo; Friedrich, Sebastian; Kiese, Ralf 1; Scheer, Clemens 1
1 Institut für Meteorologie und Klimaforschung Atmosphärische Umweltforschung (IMKIFU), Karlsruher Institut für Technologie (KIT)

Abstract:

Purpose:
Current life cycle assessments (LCAs) of milk production often underestimate environmental impacts by overlooking significant greenhouse gas (GHG) emissions from drained peatlands. This study applied a novel approach to quantify the contribution of GHG emissions from drained peat soils to the carbon footprint (CF) of milk production in German pre-alpine dairy farms, addressing this critical knowledge gap.

Methods:
Carbon footprints (CFs) of milk production were calculated for three distinct dairy farms in Southern Germany, both with and without the inclusion of peatland emissions. Three methodological approaches were applied for emission quantification: (i) IPCC Tier 1, (ii) implied emission factors (EFs) from German national inventory reporting, and (iii) water table depth (WTD)-dependent response functions. A near-natural peatland reference scenario was also developed for contextualization.

Results and discussion:
Results reveal that peatland emissions are a highly significant contributor, more than doubling average milk CFs at farm-level. A positive correlation was found between the extent of drained peatland area and carbon emissions, with the CF from drained peat soils being 3 to 6.5 times higher than those from mineral soils if the entire farm area was located on drained peat soil (i.e., 'under full peatland drainage’). ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000191630
Veröffentlicht am 24.03.2026
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung Atmosphärische Umweltforschung (IMKIFU)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 03.2026
Sprache Englisch
Identifikator ISSN: 0948-3349, 1614-7502
KITopen-ID: 1000191630
Erschienen in The International Journal of Life Cycle Assessment
Verlag Springer
Band 31
Heft 1-3
Seiten 41
Vorab online veröffentlicht am 16.03.2026
Nachgewiesen in Web of Science
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