Multicriteria decision-making and probabilistic weighing applied to sustainable assessment of beef life cycle

Abstract Environmental, economic and social aspects of the animal production phase of beef chain have been the focus of individual studies. However, integrated assessments are lacking. Thus, this study aims to develop an approach using sustainable life cycle assessment integrated to multicriteria methods of decision-making and probabilistic weighting in order to evaluate the sustainability of four different alternatives of animal production in the southern region of the state of Mato Grosso do Sul, Brazil. By presenting the integrated evaluation in a single score, the system with crop-livestock rotation (CLR) obtained a better performance. The better performance was due to the reduction in mechanization costs for planting and a high capacity of animal support per hectare without directly using phosphate and nitrogen fertilizers. However, by evaluating individual criteria, the pasture fertilization system (PFS) obtained the best performance regarding social indicators due to the high generation of jobs and worker remuneration. Probabilistic weighting in conjunction with the VIKOR (VIseKriterijumska Optimizacija I Kompromisno Resenje) multicriteria method proved to be an efficient solution to exempt human judgment from criteria weighting. This reduces the uncertainty of evaluation and allows a risk analysis considering all possible weight combinations in an integrated and individual way per criterion. However, studies on the development of new indicators related to systems, especially not evaluated criteria such as biodiversity, ecosystem services and animal welfare, are necessary to improve the evaluation of system sustainability.

[1]  Laure Nitschelm,et al.  Data strategy for environmental assessment of agricultural regions via LCA: case study of a French catchment , 2016, The International Journal of Life Cycle Assessment.

[2]  Jeroen B. Guinée,et al.  Charting the Future of Life Cycle Sustainability Assessment: A Special Issue , 2017 .

[3]  Gjalt Huppes,et al.  Life cycle assessment: past, present, and future. , 2011, Environmental science & technology.

[4]  F. Serrapica,et al.  Environmental impacts of Italian beef production: A comparison between different systems , 2018 .

[5]  R. Clift,et al.  Including carbon emissions from deforestation in the carbon footprint of Brazilian beef. , 2011, Environmental science & technology.

[6]  I. D. Boer,et al.  Environmental and economic performance of beef farming systems with different feeding strategies in southern Brazil , 2016 .

[7]  G. A. D. Medeiros,et al.  A socio-eco-efficiency analysis of integrated and non-integrated crop-livestock-forestry systems in the Brazilian Cerrado based on LCA , 2018 .

[8]  Marco Cinelli,et al.  Analysis of the potentials of multi criteria decision analysis methods to conduct sustainability assessment , 2014 .

[9]  Pekka Leskinen,et al.  Impact of normalisation, elicitation technique and background information on panel weighting results in life cycle assessment , 2014, The International Journal of Life Cycle Assessment.

[10]  H. Steinfeld,et al.  Tackling climate change through livestock : a global assessment of emissions and mitigation opportunities , 2013 .

[11]  D. J. Bungenstab,et al.  Greenhouse gas emissions related to biodiesel from traditional soybean farming compared to integrated crop-livestock systems , 2018 .

[12]  Pradip P. Kalbar,et al.  Weighting and Aggregation in Life Cycle Assessment: Do Present Aggregated Single Scores Provide Correct Decision Support? , 2017 .

[13]  D. Shindell,et al.  Anthropogenic and Natural Radiative Forcing , 2014 .

[14]  M. Huijbregts,et al.  Cumulative energy demand as predictor for the environmental burden of commodity production. , 2010, Environmental science & technology.

[15]  Thiago José Florindo,et al.  Carbon footprint and Life Cycle Costing of beef cattle in the Brazilian midwest , 2017 .

[16]  Kannan Govindan,et al.  Application of fuzzy VIKOR for evaluation of green supply chain management practices , 2015 .

[17]  Jingzheng Ren,et al.  Prioritization of bioethanol production pathways in China based on life cycle sustainability assessment and multicriteria decision-making , 2015, The International Journal of Life Cycle Assessment.

[18]  Emily Grubert,et al.  The Need for a Preference‐Based Multicriteria Prioritization Framework in Life Cycle Sustainability Assessment , 2017 .

[19]  Gjalt Huppes,et al.  Life cycle assessment and sustainability analysis of products, materials and technologies. Toward a scientific framework for sustainability life cycle analysis , 2010 .

[20]  Jingzheng Ren,et al.  Life cycle sustainability decision-support framework for ranking of hydrogen production pathways under uncertainties: An interval multi-criteria decision making approach , 2018 .

[21]  P. Newton,et al.  Climate change mitigation through intensified pasture management: Estimating greenhouse gas emissions on cattle farms in the Brazilian Amazon , 2017 .

[22]  C. Wagner-Riddle,et al.  Greenhouse gas balance and carbon footprint of beef cattle in three contrasting pasture-management systems in Brazil , 2017 .

[23]  Pekka Leskinen,et al.  Life cycle tools combined with multi-criteria and participatory methods for agricultural sustainability: Insights from a systematic and critical review. , 2017, The Science of the total environment.

[24]  Simona-Valeria Toma,et al.  Risk and Uncertainty , 2012 .

[25]  H. Dewes,et al.  Life cycle assessment of beef cattle production in two typical grassland systems of southern Brazil , 2015 .

[26]  Clandio Favarini Ruviaro,et al.  Carbon footprint in different beef production systems on a southern Brazilian farm : a case study , 2015 .

[27]  David N. Ford,et al.  MANAGING RISK AND UNCERTAINTY IN COMPLEX CAPITAL PROJECTS , 2004 .

[28]  Ching-Lai Hwang,et al.  Fuzzy Multiple Attribute Decision Making - Methods and Applications , 1992, Lecture Notes in Economics and Mathematical Systems.

[29]  Clandio Favarini Ruviaro,et al.  Economic and environmental feasibility of beef production in different feed management systems in the Pampa biome, southern Brazil , 2016, Ecological Indicators.

[30]  Anna Irene De Luca,et al.  Evaluation of sustainable innovations in olive growing systems: A Life Cycle Sustainability Assessment case study in southern Italy , 2018 .

[31]  Wenhao Chen,et al.  Tiered life cycle sustainability assessment applied to a grazing dairy farm , 2018 .

[32]  Camila Daniele Willers,et al.  Environmental Impact assessment of a semi-intensive beef cattle production in Brazil’s Northeast , 2017, The International Journal of Life Cycle Assessment.

[33]  Walter Z. Tang,et al.  Application of the multiple criteria decision-making (MCDM) approach in the identification of Carbon Footprint reduction actions in the Brazilian beef production chain , 2018, Journal of Cleaner Production.