Abstract
Purpose
Taking into account the large area of citrus in Spain and the impacts generated by agriculture, reducing the environmental impact of this crop represents an important goal. This study attempts to compare the environmental impact of two citrus cropping systems, organic and conventional, in the region of Valencia (Spain), and to assess the variability within both farming systems in order to highlight the influence of management practices on the environmental performance.
Methods
A survey was carried out on citrus farmers, 145 corresponding to organic production and 122 to conventional. Life cycle assessment (LCA) was used to estimate the environmental impacts of farms and the contribution of each production stage to impacts. Two functional units (FUs), mass- and area-based, were chosen. The variability and confidence intervals of the average impact results were assessed by means of a bootstrap technique. Finally, a k-means cluster analysis was performed to identify groups of farms with comparable impact levels.
Results and discussion
The mean impact values of the conventional farm sample were higher than those of the organic farms, when using 1 ha year−1 as FU, whereas for the FU of 1 kg no differences were found for some impact categories. Most of the impact results were also observed to be highly variable. The distribution of the mean after the bootstrap confirmed both the variability of the impacts and the differences between the farming systems. The cluster analysis determined two groups via their impact categories. Cluster-1, which showed higher impacts, was made up of part of the conventional farms while cluster-2 included the remaining conventional farms and all the organic ones. No difference in yield was found between the conventional farms of both clusters.
Conclusions
Bootstrapped LCA offers the ability to assess the variability of the impacts, regardless of the sample size and the non-normal impact distributions. The cluster analysis shows that conventional farms can attain similar impacts than the organic ones, while maintaining the yield. FU selection is crucial, since a mass-based FU reduces the difference in the environmental performance between conventional and organic farms. To attain a more sustainable citrus farming, a careful selection of the management practices is needed.
Similar content being viewed by others
References
Audsley E (coordinator) et al (1997) Harmonisation of environmental life cycle assessment for agriculture. Final report. Concerted Action AIR3-CT94-2028, Silsoe Research Inst., Bedford
Basset-Mens C, Van Der Werf HM, Durand P, Leterme P (2006) Implications of uncertainty and variability in the life cycle assessment of pig production systems (7 pp). Int J Life Cycle Assess 11(5):298–304
Beccali M, Cellura M, Iudicello M, Mistretta M (2009) Resource consumption and environmental impacts of the agrofood sector: life cycle assessment of Italian citrus-based products. Environ Manag 43:707–724
Beccali M, Cellura M, Iudicello M, Mistretta M (2010) Life cycle assessment of Italian citrus-based products. Sensitivity analysis and improvement scenarios. J Environ Manag 91(7):1415–1428
Berthoud A, Maupu P, Huet C, Poupart A (2011) Assessing freshwater ecotoxicity of agricultural products in life cycle assessment (LCA): a case study of wheat using French agricultural practices databases and USEtox model. Int J Life Cycle Assess 16(8):841–847
Bessou C, Basset-Mens C, Tran T, Benoist A (2013) LCA applied to perennial cropping systems: a review focused on the farm stage. Int J Life Cycle Assess 18(2):340–361
Brady NC, Weil RR (2008) Soil phosphorus and potassium, Ch 14. In: The nature and properties of soils (14th edition). Pearson Prentice Hall, pp 594–638
Chen X, Corson MS (2014) Influence of emission-factor uncertainty and farm-characteristic variability in LCA estimates of environmental impacts of French dairy farms. J Clean Prod 81:150–157
Chen X, Samson E, Tocqueville A, Aubin J (2015) Environmental assessment of trout farming in France by life cycle assessment: using bootstrapped principal component analysis to better define system classification. J Clean Prod 87:87–95
Chernick MR, Labudde RA (2011) An introduction to bootstrap methods with applications to R. J Wiley and Sons, USA
Coltro L, Mourad AL, Kletecke RM, Mendonça TA, Germer SP (2009) Assessing the environmental profile of orange production in Brazil. Int J Life Cycle Assess 14(7):656–664
Efron B (1979) Bootstrap methods—another look at the jackknife. Ann Stat 7:1–26
EMEP/EEA. European Environment Agency (2013) Air pollutant emission inventory guidebook. Technical report No 12/2013. Luxembourg (Luxembourg) 2013. ISBN 978-92-9213-403-7
Escobar N, Ribal J, Clemente G, Sanjuán N (2014) Consequential LCA of two alternative systems for biodiesel consumption in Spain, considering uncertainty. J Clean Prod 79:61–73
FAOSTAT (2012) Food and Agriculture Organization of the United Nations Statistics Division. Available at: http://faostat3.fao.org/home/E. accessed 12 May 2015
Filzmoser P, Maronna R, Werner M (2008) Outlier identification in high dimensions. Comput Stat Data Anal 52:1694–1711
Finnveden G, Hauschild MZ, Ekvall T, Guinée J, Heijungs R, Hellweg S, Suh S (2009) Recent developments in life cycle assessment. J Environ Manag 91(1):1–21
Frischknecht R, Althaus HJ, Bauer C, Doka G, Heck T, Jungbluth N, Kellenberger D, Nemecek T (2007) The environmental relevance of capital goods in life cycle assessments of products and services. Int J Life Cycle Assess 12:7–17
Geisler G, Hellweg S, Hungerbühler K (2005) Uncertainty analysis in life cycle assessment (LCA): case study on plant-protection products and implications for decision making. Int J Life Cycle Assess 10(3):184–192
Hayashi K (2011) Assessing management influence on environmental impacts under uncertainty: a case study of paddy rice production in Japan. In: Finkbeiner M (ed) Towards life cycle sustainability management. Springer Netherlands, pp 331–340
Hayashi K, Makino N, Shobatake K, Hokazono S (2014) Influence of scenario uncertainty in agricultural inputs on life cycle greenhouse gas emissions from agricultural production systems: the case of chemical fertilizers in Japan. J Clean Prod 73:109–115
Hesterberg T, Monaghan S, Moore DS, Clipson A, Epstein R (2003) Bootstrap methods and permutation tests. WH Freeman and Company, New York
Hischier R, Althaus H-J, Bauer C, Doka G, Frischknecht R, Jungbluth N, Nemecek T, Simons A, Stucki M, Sutter J, Tuchschmid M (2010) Documentation of changes implemented in ecoinvent Data v2.1 and v2.2. Final report ecoinvent data v2.2 No. 16. Swiss Centre for Life Cycle Inventories, Dübendorf
Hospido A, Milà i Canals L, McLaren S, Truninger M, Edwards-Jones G, Clift R (2009) The role of seasonality in lettuce consumption: a case study of environmental and social aspects. Int J Life Cycle Assess 14(5):381–391
Huijbregts MAJ (1998) Application of uncertainty and variability in LCA. Part 1. A general framework for the application of uncertainty and variability in life-cycle assessment. Int J Life Cycle Assess 3(5):273–280
IPCC, Intergovernmental Panel on Climate Change (2006) IPCC guidelines for national greenhouse gas inventories. Volume 4: agriculture, forestry and other land uses. Available at http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html. accessed 15 May 2014
ISO (2006) International Organization for Standardization. ISO 14040. International standard in environmental management. Life cycle assessment: principles and framework. ISO, Geneva
Johnson R. (1992) Applied multivariate statistical analysis. Prentice Hall
Juraske R, Sanjuán N (2011) Life cycle toxicity assessment of pesticides used in integrated and organic production of oranges in the Comunidad Valenciana, Spain. Chemosphere 82(7):956–962
Juste F (2006) La mecanización del cultivo de los cítricos como forma de reducción de costes. Rev Comunidad Valenciana Agraria 5:23–26
Kelley K (2005) The effects of nonnormal distributions on confidence intervals around the standardized mean difference: bootstrap and parametric confidence intervals. Educ Psychol Meas 64(1):51–69
Knudsen MT, de Almeida GF, Langer V, de Abreu LS, Halberg N (2011) Environmental assessment of organic juice imported to Denmark: a case study on oranges (Citrus sinensis) from Brazil. Org Agric 1(3):167–185
Leys C, Ley C, Klein O, Bernard P, Licata L (2013) Detecting outliers: do not use standard deviation around the mean, use absolute deviation around the median. J Exp Social Psychol
MAAM (2014) Balance del nitrógeno en la agricultura española (Año 2012) Dirección General de producciones y mercados agrarios. Ministerio de Agricultura, Alimentación y Medio Ambiente, Madrid. Available at: http://www.magrama.gob.es/es/agricultura/temas/medios-de-produccion/BNAE2012_Metodolog%C3%ADa-Resultados_tcm7-360230.pdf. Accessed 25 Aug 2015
MAAM (2014) Anuario de Estadística 2013 Ministerio de Agricultura, Alimentación y Medio Ambiente. Available at: http://www.magrama.gob.es/es/estadistica/temas/estadisticas-agrarias/agricultura/default.aspx. Accessed 12 June 2015
MAGRAMA (2015) Consulta de hojas de cálculo de costes de maquinaria. Available at http://www.magrama.gob.es/es/ministerio/servicios/informacion/plataforma-de-conocimiento-para-el-medio-rural-y-pesquero/observatorio-de-tecnologias-probadas/maquinaria-agricola/hojas-calculo-maqui.aspx#para1
Maindonald JH, Braun WJ (2014) DAAG: data analysis and graphics data and functions. R package version 1.20. Available at: http://CRAN.R-project.org/package=DAAG
Melia P, Petrillo M, Albertelli G, Mandich A, Gatto M (2012) A bootstrap approach to account for uncertainty in egg production methods applied to small fish stocks. Fish Res 117:130–136
Milà i Canals LM, Burnip GM, Cowell SJ (2006) Evaluation of the environmental impacts of apple production using life cycle assessment (LCA): case study in New Zealand. Agric Ecosyst Environ 114(2):226–238
Mouron P, Nemecek T, Scholz RW, Weber O (2006) Management influence on environmental impacts in an apple production system on Swiss fruit farms: combining life cycle assessment with statistical risk assessment. Agric Ecosyt Environ 114:311–322
Mutel CL, Pfister S, Hellweg S (2011) GIS-based regionalized life cycle assessment: how big is small enough? Methodology and case study of electricity generation. Environ Sci Technol 46(2):1096–1103
Nemecek T, Kägi T, Blaser S (2007) Life cycle inventories of agricultural production systems. Final report ecoinvent v2.0 No.15. Swiss Centre for Life Cycle Inventories, Dübendorf
Nielsen PH, Nielsen AM, Weidema BP, Dalgaard R and Halberg N (2003) LCA food data base. Available at: http://www.lcafood.dk
OCCC, Oficina Catalana de Canvi Climàtic (2013) Guía práctica para el cálculo de emisiones de gases de efecto invernadero (GEI). Generalitat de Catalunya, Catalunya
Patyk A, Reinhardt G (1997) Düngemittel- Energie- und Stoffstromsbilanzen. Friedr. Vieweg & Sohn Publishers. Braunschweig/Wiesbaden, Germany. ISBN: 3-528-06885-X.
Pergola M, D’amico M, Celano G, Palese AM, Scuderi A, Di Vita G, Pappalardo G, Inglese P (2013) Sustainability evaluation of Sicily’s lemon and orange production: an energy, economic and environmental analysis. J Environ Manag 128:674–682
Ramos S, Vázquez-Rowe I, Artetxe I, Moreira MT, Feijóo G, Zufía J (2011) Environmental assessment of the Atlantic mackerel (Scomber scombrus) season in the Basque Country. Increasing the time line delimitation in fishery LCA studies. Int J Life Cycle Assess 16:599–610
Renouf MA, Wegener MK, Pagan RJ (2010) Life cycle assessment of Australian sugarcane production with a focus on sugarcane growing. Int J Life Cycle Assess 15(9):927–937
Rodríguez C, Ciroth A, Srocka M (2014) The importance of regionalized LCIA in agricultural LCA–new software implementation and case study. In Proc. 9th Int. Conf. Life Cycle Assess Agri-Food Sector, San Francisco, pp 1120–1128
Röös E, Sundberg C, Hansson PA (2010) Uncertainties in the carbon footprint of food products: a case study on table potatoes. Int J Life Cycle Assess 15(5):478–488
Rosenbaum RK, Bachmann TM, Gold LS, Huijbregts MA, Jolliet O, Juraske R, Hauschild MZ (2008) USEtox—the UNEP-SETAC toxicity model: recommended characterisation factors for human toxicity and freshwater ecotoxicity in life cycle impact assessment. Int J Life Cycle Assess 13(7):532–546
Sanjuán N, Úbeda L, Clemente G, Girona F, Mulet A (2005) LCA of integrated orange production in the Comunidad Valenciana (Spain). Int J Agric Resour Gov Ecol 4(2):163–177
Stoessel F, Juraske R, Pfister S, Hellweg S (2012) Life cycle inventory and carbon and water footprint of fruits and vegetables: application to a Swiss retailer. Environ Sci Technol 46(6):3253–3262
Vakili K, Schmitt E (2014) Finding multivariate outliers with FastPCS. Comput Stat Data Anal 69:55–66
Vázquez-Rowe I, Villanueva-Rey P, Moreira MT, Feijoo G (2012) Environmental analysis of Ribeiro wine from a timeline perspective: harvest year matters when reporting environmental impacts. J Environ Manag 98:73–83
Vinyes E, Gasol CM, Asin L, Alegre S, Muñoz P (2015) Life cycle assessment of multiyear peach production. J Clean Prod 104:68–79
Acknowledgments
The authors gratefully acknowledge the Spanish Ministerio de Economía y Competitividad for the financial support under the project CTM2013-47,340-R and the Generalitat Valenciana for the financial support under the project PROMETEOII/2014/005.
Author information
Authors and Affiliations
Corresponding author
Additional information
Responsible editor: Ian Vázquez-Rowe
Rights and permissions
About this article
Cite this article
Ribal, J., Ramírez-Sanz, C., Estruch, V. et al. Organic versus conventional citrus. Impact assessment and variability analysis in the Comunitat Valenciana (Spain). Int J Life Cycle Assess 22, 571–586 (2017). https://doi.org/10.1007/s11367-016-1048-2
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11367-016-1048-2