Application of the multiple criteria decision-making (MCDM) approach in the identification of Carbon Footprint reduction actions in the Brazilian beef production chain

Florindo, Thiago José; Florindo, G.I.B.de.M.; Talamini, Édson; Costa, Jaqueline Severino da; Léis, Cristiane Maria de; Tang, Walter Zhongzhong; Schultz, Glauco; Kulay, Luiz; Pinto, Andrea Troller; Ruviaro, Clândio Favarini

doi:10.1016/j.jclepro.2018.06.116

Cited by 30 publications

(16 citation statements)

References 18 publications

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“…The sustainable agricultural intensification strategies we modeled lowering Brazil Nelore beef carbon footprint is significant since cattle production makes up 96% of beef sector emissions [57]. While our IFSM simulations focus on such cattle production, they do not model greenhouse gas (GHG) emissions from the deforestation process itself, where burning releases CO 2 and subsequent extensive pastures have more limited carbon sequestration potential [58].…”

Section: Reducing Carbon Footprint Using Pasture Improvements and Gramentioning

confidence: 99%

Improve Pasture or Feed Grain? Greenhouse Gas Emissions, Profitability, and Resource Use for Nelore Beef Cattle in Brazil’s Cerrado and Amazon Biomes

Molossi

Hoshide

Pedrosa

et al. 2020

Animals

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Economic development, international food and feed demand, and government policies have converted Brazil’s natural ecosystems into agricultural land. The Integrated Farm System Model (IFSM) was evaluated using production, economic, and weather data collected on two cooperating farms in the Legal Amazon and Cerrado biomes in the Midwest state of Mato Grosso, Brazil. Three sustainable agricultural intensification strategies, namely grain supplementation, pasture re-seeding, and pasture fertilization were simulated in IFSM with double the beef cattle stocking density compared to extensive grazing. Livestock dry matter consumption simulated in IFSM was similar for pasture grazing estimates and actual feed consumed by beef cattle on the two collaborating farms. Grain supplementation best balanced beef production and profitability with lower carbon footprint compared to extensive grazing, followed by pasture fertilization and pasture re-seeding. However, pasture re-seeding and fertilization had greater use of water and energy and more nitrogen losses. Human edible livestock feed use was greatest for grain supplementation compared to other modeled systems. While grain supplementation appears more favorable economically and environmentally, greater use of human edible livestock feed may compete with future human food needs. Pasture intensification had greater human edible feed conversion efficiency, but its greater natural resource use may be challenging.

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Section: Reducing Carbon Footprint Using Pasture Improvements and Gramentioning

confidence: 99%

Improve Pasture or Feed Grain? Greenhouse Gas Emissions, Profitability, and Resource Use for Nelore Beef Cattle in Brazil’s Cerrado and Amazon Biomes

Molossi

Hoshide

Pedrosa

et al. 2020

Animals

View full text Add to dashboard Cite

show abstract

“…As depicted in Table 15, four studies employed compromise methods, as follows (i) COPRAS [153], (ii) TOPSIS [154,157], (iii) SAW and IFPPSI [154], and (iv) IOWA [161]. The remaining studies applied outranking methods (PROMETHEE and ELECTRE [154,161] and the multi-objective ZOGP [159] For the achievement of SDGs belonging to this category, several applications of MCDM methods reported in 36 studies are presented and discussed here, as follows: SDG 6-"Clean Water and Sanitation" [162][163][164][165][166][167][168], SDG 13-"Climate Action" [169][170][171][172][173][174][175][176][177][178][179][180][181][182], SDG 14-"Life below Water" [183][184][185][186][187][188], and SDG 15-"Life on Land" [189][190][191][192][193][194][195][196][197].…”

Section: Sdg 11: Sustainable Cities and Communitiesmentioning

confidence: 99%

“…Concerning outranking methods, they were used in three studies: ELECTRE-III-H [158], ELECTRE III [165,167]. Since various degrees of ambiguity in deciding are observed, it is recommended to combine MCDM methods with fuzzy logic, which was observed in [162,166] 17 contains a summary of the reviewed articles and the main contributions of MCDM methods related to the achievement of SDG 13 [169][170][171][172][173][174][175][176][177][178][179][180][181][182]. Most of the decision problems concerning SDG 13 were linked to map and describe areas with flood risks associated with climate change impacts [170,171,173,174,177,182].…”

Section: Sdg 6: Clean Water and Sanitationmentioning

confidence: 99%

“…Three studies used the TOPSIS method, combined with other methods [169,179,180]. For example, Song et al [170] employed TOPSIS and RUS, combined with the Delphi technique and sensitivity analysis, to evaluate and rank the spatial flood vulnerability to climate change in South Korea.…”

Section: Sdg 6: Clean Water and Sanitationmentioning

confidence: 99%

“…For example, Song et al [170] employed TOPSIS and RUS, combined with the Delphi technique and sensitivity analysis, to evaluate and rank the spatial flood vulnerability to climate change in South Korea. Florindo et al [179] applied TOPSIS and SWOT analysis to rank possible Carbon Footprint reduction actions in the Brazilian beef production chain.…”

Section: Sdg 6: Clean Water and Sanitationmentioning

confidence: 99%

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Multiple Criteria Decision Making for the Achievement of the UN Sustainable Development Goals: A Systematic Literature Review and a Research Agenda

2021

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Multiple-criteria decision making (MCDM) methods have been widely employed in various fields and disciplines, including decision problems regarding Sustainable Development (SD) issues. The main objective of this paper is to present a systematic literature review (SLR) on MCDM methods supporting decisions focusing on the achievement of UN Sustainable Development Goals (SDGs) and the implementation of the 2030 Agenda for Sustainable Development in regional, national, or local contexts. In this regard, 143 published scientific articles from 2016 to 2020 were retrieved from the Scopus database, selected and reviewed. They were categorized according to the decision problem associated with SDGs issues, the MCDM methodological approach, including the use (or not) of fuzzy set theory, sensitivity analysis, and multistakeholder approaches, the context of MCDM applications, and the MCDM classification (if utility-based, compromise, multi-objective, outranking, or other MCDM methods). The widespread adoption of MCDM methods in complex contexts confirms that they can help decision-makers solve multidimensional problems associated with key issues within the 2030 Agenda framework. Besides, the state-of-art review provides an improved understanding of this research field and directions for building a research agenda for those interested in advancing the research on MCDM applications in issues associated with the 2030 Agenda framework.

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Environmental Impact of Beef Production Systems

Buratti

Belloni

Fantozzi

2021

Advances of Footprint Family for Sustainable Energy and Industrial Systems

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Application of the multiple criteria decision-making (MCDM) approach in the identification of Carbon Footprint reduction actions in the Brazilian beef production chain

Cited by 30 publications

References 18 publications

Improve Pasture or Feed Grain? Greenhouse Gas Emissions, Profitability, and Resource Use for Nelore Beef Cattle in Brazil’s Cerrado and Amazon Biomes

Improve Pasture or Feed Grain? Greenhouse Gas Emissions, Profitability, and Resource Use for Nelore Beef Cattle in Brazil’s Cerrado and Amazon Biomes

Multiple Criteria Decision Making for the Achievement of the UN Sustainable Development Goals: A Systematic Literature Review and a Research Agenda

Environmental Impact of Beef Production Systems

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