Comparison of the use of life cycle assessment and ecological footprint methods for evaluating environmental performances in dairy production.

Ecological footprint Environmental sustainability Global warming metrics Life cycle assessment Milk production

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
20 Dec 2023
Historique:
received: 23 06 2023
revised: 12 08 2023
accepted: 03 09 2023
medline: 15 11 2023
pubmed: 15 9 2023
entrez: 14 9 2023
Statut: ppublish

Résumé

One popular methodology for assessing the environmental impact of livestock sector is Life Cycle Assessment (LCA), that quantifies the environmental impact of a product. Ecological Footprint (EF) performs an environmental sustainability assessment, by comparing the demand for natural capital by an economic activity with the offer of such capital within a certain territory. The aim of the study was the comparison between LCA and EF in assessing the environmental performances of milk production, assuming as case study three cattle farms with increasing levels of production intensity. Different metrics and functional units (FU) (i.e., fat and protein corrected milk, FPCM and hectare) were adopted for LCA analysis, considering some of the major impact categories. For greenhouse gases emissions, the Global Warming Potential (GWP) and the Global Temperature Potential (GTP) were considered. Both metrics were calculated assuming or not the distinction between biogenic and fossil methane. Adopting GWP as a metric, the results per kg of FPCM provided by the LCA highlighted a different trade off compared to the EF method: the farm with the highest productive intensity produced the least impactful milk in terms of GWP but had the most negative Ecological Balance (EB). The same occurred for the other impact categories. When GTP was adopted, or the hectare was considered as FU, the least intensive farm, characterized by greater feed self-sufficiency, became the one that produced the least impactful milk and had the least negative EB. The study highlighted the scientific significance of the integration between the two approaches for creating a comprehensive representation of the effects of human activities on the environment. The LCA method evaluates impacts intensity referred to a specific functional unit and its results are strongly influenced by productive efficiency; the EF method evaluates environmental sustainability of productions in relation to the territory that supports them.

Identifiants

pubmed: 37709092
pii: S0048-9697(23)05470-0
doi: 10.1016/j.scitotenv.2023.166845
pii:
doi:

Substances chimiques

Guanosine Triphosphate 86-01-1

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

166845

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper

Auteurs

E Biagetti (E)

Università della Tuscia, Dipartimento di Economia, Ingegneria, Società e Impresa, via del Paradiso 47, 01100 Viterbo, Italy.

G Gislon (G)

Università degli Studi di Milano, Dipartimento di Scienze Agrarie e Ambientali, via Celoria 2, 20133 Milano, Italy. Electronic address: giulia.gislon@unimi.it.

A Martella (A)

Università della Tuscia, Dipartimento di Economia, Ingegneria, Società e Impresa, via del Paradiso 47, 01100 Viterbo, Italy.

M Zucali (M)

Università degli Studi di Milano, Dipartimento di Scienze Agrarie e Ambientali, via Celoria 2, 20133 Milano, Italy.

L Bava (L)

Università degli Studi di Milano, Dipartimento di Scienze Agrarie e Ambientali, via Celoria 2, 20133 Milano, Italy.

S Franco (S)

Università della Tuscia, Dipartimento di Economia, Ingegneria, Società e Impresa, via del Paradiso 47, 01100 Viterbo, Italy.

A Sandrucci (A)

Università degli Studi di Milano, Dipartimento di Scienze Agrarie e Ambientali, via Celoria 2, 20133 Milano, Italy.

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