Life cycle assessment of conventional and organic milk production in the Netherlands

Thomassen, M.A.; Calker, K.J. van; Smits, M.C.J.; Iepema, G.; Boer, I.J.M. de

doi:10.1016/j.agsy.2007.06.001

Cited by 340 publications

(251 citation statements)

References 25 publications

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“…Assim, quanto mais intensiva a exploração leiteira menor o uso de terras para a produção de alimentos para os animais (BARTL; GÓMEZ; NEMECEK, 2011;OLSZENSVSKI, 2011). Da mesma forma, os sistemas convencionais estudados necessitaram de menor uso de terras que os orgânicos (KRISTENSEN et al, 2011;THOMASSEN et al, 2008a Nos dois estudos de caso de ACV no Sul do Brasil sobre a produção de leite do berço ao portão, quase 100% do uso das terras é destinado à produção de alimentos. Em sistema semiextensivo, a produção de pastagem representa 94% do uso de terras (OLSZENSVSKI, 2011).…”

Section: Uso Da Terraunclassified

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Avaliação do Ciclo de Vida na bovinocultura leiteira e as oportunidades ao Brasil

Seó

Filho

Ruviaro

et al. 2017

Eng. Sanit. Ambient.

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RESUMO: A Avaliação do Ciclo de Vida (ACV) é uma ferramenta capaz de estimar o potencial de emissões e apontar as fases críticas de um determinado produto ou processo em todo o seu ciclo de vida. O objetivo deste trabalho foi resumir os principais resultados das pesquisas e estudos de caso em ACV relacionados à bovinocultura leiteira nacional e internacional, de 2008 a 2014, e realizar uma análise crítica das categorias de impacto abordadas com maior frequência pela literatura: mudança climática, acidificação, eutrofização, uso da terra e demanda de energia. De todas as fases, a produção de leite na fazenda é onde ocorre a maior parte das emissões. Os resultados apontam que os pontos críticos da bovinocultura leiteira são as emissões entéricas, produção e uso de fertilizante, uso de esterco, produção e transporte de concentrado, e a baixa produtividade animal. Em geral, a categoria de mudança climática foi contraditória com as demais categorias, razão pela qual não deve ser considerada sozinha em avaliações de impacto ambiental. No Brasil, a intensificação na produção à base de pasto apresenta-se como uma estratégia de redução de impactos, uma vez que diminui a necessidade do uso de insumos de base não renovável e aumenta o sequestro de carbono via fotossíntese.

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Section: Uso Da Terraunclassified

“…Somado a isso, alguns estudos apontam que o ponto crítico da produção de leite é o uso de fertilizantes sintéticos na produção de concentrados (LÉIS, 2013;THOMASSEN et al, 2008a …”

Section: Demanda Acumulada De Energiaunclassified

Avaliação do Ciclo de Vida na bovinocultura leiteira e as oportunidades ao Brasil

Seó

Filho

Ruviaro

et al. 2017

Eng. Sanit. Ambient.

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“…One common and more studied classification is that between organic and conventional systems. Studies have compared conventional and organic livestock production systems on sustainability topics, such as on the environment (Thomassen et al, 2008), on animal welfare (Hovi et al, 2003), on economics (McBride and Greene, environmental and social sustainability pillar. In this study, we used the topics and indicators as described below.…”

Section: S2 Aanvullende Resultatenmentioning

confidence: 99%

Sustainability of livestock production systems : a comparing conventional and organic livestock husbandry

Wagenberg¹,

Haas²,

Hogeveen³

et al. 2016

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This study analysed peer-reviewed literature comparing conventional and organic livestock production systems on sustainability indicators within the topics of economy, productivity, environment, animal welfare and public health. For many indicators, insufficient data were found to draw any conclusions on a difference. The strong points of both conventional and organic livestock production systems were used to formulate lessons learned for sustainable livestock production systems. As sustainability indicators often interact with other sustainability indicators in opposing directions, sustainable livestock production should be approached as a multi-criteria problem optimising a balanced combination of sustainability indicators in all topics.Deze studie heeft wetenschappelijke literatuur geanalyseerd, die conventionele en biologische dierlijke productiesystemen kwantitatief vergelijkt op duurzaamheidsindicatoren binnen de onderwerpen economie, productiviteit, milieu, dierenwelzijn en volksgezondheid. Voor veel indicatoren zijn onvoldoende gegevens gevonden om conclusies te trekken over een verschil. Gevonden sterke punten van zowel conventionele als biologische systemen zijn gebruikt om lessen te trekken voor duurzame veehouderij. Aangezien duurzaamheidsindicatoren vaak onderling samenhangen in tegenstrijdige richting moet een duurzame veehouderij gezien worden als een multicriteria beslissingsprobleem, waarin een gebalanceerde combinatie van indicatoren uit alle duurzaamheidsonderwerpen moet worden geoptimaliseerd.

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“…The main areas of uncertainty in GHG emissions surround N 2 O emissions from soils and soil organic carbon cycling (Weiss and Leip, 2012), whereas variation in activity data can have a considerable impact on model outcomes with respect to both productivity and emissions (Thomassen et al, 2008). Despite this, most whole-farm models do not represent uncertainty of simulated scenarios.…”

Section: Model Evaluation and Uncertaintymentioning

confidence: 99%

“…Similar concerns also apply to models that apply simpler approaches such as EFs. These models are often more robust in their application, but they typically have lower validity outside the range for which they were constructed.The main areas of uncertainty in GHG emissions surround N 2 O emissions from soils and soil organic carbon cycling (Weiss and Leip, 2012), whereas variation in activity data can have a considerable impact on model outcomes with respect to both productivity and emissions (Thomassen et al, 2008). Despite this, most whole-farm models do not represent uncertainty of simulated scenarios.…”

mentioning

confidence: 99%

Whole-farm models to quantify greenhouse gas emissions and their potential use for linking climate change mitigation and adaptation in temperate grassland ruminant-based farming systems

Prado

Crosson

Olesen

et al. 2013

Animal

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The farm level is the most appropriate scale for evaluating options for mitigating greenhouse gas (GHG) emissions, because the farm represents the unit at which management decisions in livestock production are made. To date, a number of whole farm modelling approaches have been developed to quantify GHG emissions and explore climate change mitigation strategies for livestock systems. This paper analyses the limitations and strengths of the different existing approaches for modelling GHG mitigation by considering basic model structures, approaches for simulating GHG emissions from various farm components and the sensitivity of GHG outputs and mitigation measures to different approaches. Potential challenges for linking existing models with the simulation of impacts and adaptation measures under climate change are explored along with a brief discussion of the effects on other ecosystem services.Keywords: adaptation, farm-models, greenhouse gases, mitigation, ruminants ImplicationsWhole-farm models are valuable tools to study the feedback and feedforward interactions between mitigation of greenhouse gas (GHG) emissions and adaptation to climate change for ruminant-based production systems. All of the processes affecting GHG emissions and farm productivity involve the cycling of C and N within the farm, most of which will be affected by climate change. However, not all farm models include such responses to climatic drivers, and there is a need for further development and testing of the models under diverse climatic conditions. Modelling of the complex interactions between farm components and the environment, including the socio-economic aspects, is instrumental for providing strategic direction to the development of climate and food-related policies. Despite the contribution of nontemperate livestock systems to total global GHG emissions, there is a dearth of specific farm models to assess GHG emissions from these regions. Modelling of soil carbon (C) fluxes is still largely absent or very simplified in many studies even though soil C has the potential to be the largest source or sink of C for grassland-based livestock systems. IntroductionAccording to The Food and Agriculture Organization (FAO) (Steinfeld et al., 2006) livestock production systems contribute about 18% of global anthropogenic greenhouse gas (GHG) emissions. Livestock is also currently one of the fastest growing agricultural subsectors in developing countries (Thornton, 2010), with projections indicating that by 2050 worldwide animal production is expected to increase by 80% compared with 2005 (Alexandratos andBruinsma, 2012). Although demand for non-ruminant meat has been increasing more rapidly than that for ruminant meats and, consequently, the importance of grasslands in livestock production and trade has been declining, increased milk and beef demand, potentially produced via grassland-based systems, is expected to increase (Fiala, 2008;Thornton, 2010). It is thus projected that the global annual growth rate of beef until 2050 will be 1.2%, clos...

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Life cycle assessment of conventional and organic milk production in the Netherlands

Cited by 340 publications

References 25 publications

Avaliação do Ciclo de Vida na bovinocultura leiteira e as oportunidades ao Brasil

Avaliação do Ciclo de Vida na bovinocultura leiteira e as oportunidades ao Brasil

Sustainability of livestock production systems : a comparing conventional and organic livestock husbandry

Whole-farm models to quantify greenhouse gas emissions and their potential use for linking climate change mitigation and adaptation in temperate grassland ruminant-based farming systems

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