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有机农产品和传统农产品的环境影响——生命周期评估能否捕捉到这些差异?

Environmental impacts of organic and conventional agricultural products--are the differences captured by life cycle assessment?

机构信息

FiBL - Research Institute of Organic Agriculture, Ackerstrasse 113, P.O. Box 219, 5070 Frick, Switzerland.

ETH Zurich - Institute of Environmental Engineering, John-von-Neumann-Weg 9, CH-8093 Zurich, Switzerland.

出版信息

J Environ Manage. 2015 Feb 1;149:193-208. doi: 10.1016/j.jenvman.2014.10.006. Epub 2014 Nov 9.

DOI:10.1016/j.jenvman.2014.10.006
PMID:25463583
Abstract

Comprehensive assessment tools are needed that reliably describe environmental impacts of different agricultural systems in order to develop sustainable high yielding agricultural production systems with minimal impacts on the environment. Today, Life Cycle Assessment (LCA) is increasingly used to assess and compare the environmental sustainability of agricultural products from conventional and organic agriculture. However, LCA studies comparing agricultural products from conventional and organic farming systems report a wide variation in the resource efficiency of products from these systems. The studies show that impacts per area farmed land are usually less in organic systems, but related to the quantity produced impacts are often higher. We reviewed 34 comparative LCA studies of organic and conventional agricultural products to analyze whether this result is solely due to the usually lower yields in organic systems or also due to inaccurate modeling within LCA. Comparative LCAs on agricultural products from organic and conventional farming systems often do not adequately differentiate the specific characteristics of the respective farming system in the goal and scope definition and in the inventory analysis. Further, often only a limited number of impact categories are assessed within the impact assessment not allowing for a comprehensive environmental assessment. The most critical points we identified relate to the nitrogen (N) fluxes influencing acidification, eutrophication, and global warming potential, and biodiversity. Usually, N-emissions in LCA inventories of agricultural products are based on model calculations. Modeled N-emissions often do not correspond with the actual amount of N left in the system that may result in potential emissions. Reasons for this may be that N-models are not well adapted to the mode of action of organic fertilizers and that N-emission models often are built on assumptions from conventional agriculture leading to even greater deviances for organic systems between the amount of N calculated by emission models and the actual amount of N available for emissions. Improvements are needed regarding a more precise differentiation between farming systems and regarding the development of N emission models that better represent actual N-fluxes within different systems. We recommend adjusting N- and C-emissions during farmyard manure management and farmyard manure fertilization in plant production to the feed ration provided in the animal production of the respective farming system leading to different N- and C-compositions within the excrement. In the future, more representative background data on organic farming systems (e.g. N content of farmyard manure) should be generated and compiled so as to be available for use within LCA inventories. Finally, we recommend conducting consequential LCA - if possible - when using LCA for policy-making or strategic environmental planning to account for different functions of the analyzed farming systems.

摘要

需要综合评估工具来可靠地描述不同农业系统的环境影响,以便开发对环境影响最小的可持续高产农业生产系统。如今,生命周期评估(LCA)越来越多地用于评估和比较常规农业和有机农业的农产品的环境可持续性。然而,比较常规和有机农业系统农产品的 LCA 研究报告称,这些系统的产品资源效率差异很大。这些研究表明,通常有机系统的单位耕地面积的影响较小,但与产量相关的影响往往更高。我们审查了 34 项关于有机和常规农业产品的比较 LCA 研究,以分析这一结果是否仅归因于有机系统通常较低的产量,还是也归因于 LCA 内不准确的建模。有机和常规农业系统农产品的比较 LCA 通常在目标和范围定义以及清单分析中不能充分区分各自农业系统的具体特征。此外,在影响评估中,通常只评估有限数量的影响类别,不允许进行全面的环境评估。我们确定的最关键问题与影响酸化、富营养化和全球变暖潜力以及生物多样性的氮(N)通量有关。通常,农产品 LCA 清单中的 N 排放是基于模型计算的。模型化的 N 排放通常与系统中剩余的实际 N 量不一致,这可能导致潜在排放。造成这种情况的原因可能是 N 模型不适应有机肥的作用方式,而且 N 排放模型通常基于常规农业的假设,导致有机系统中计算的 N 量与实际可用于排放的 N 量之间的差异更大。需要在更精确地区分农业系统和开发更好地代表不同系统内实际 N 通量的 N 排放模型方面做出改进。我们建议在植物生产中调整农田管理和农田施肥期间的 N 和 C 排放,以适应各自农业系统的动物生产中提供的饲料比例,从而导致粪便内的 N 和 C 组成不同。未来,应生成和编制更多关于有机农业系统的代表性背景数据(例如,有机肥中的 N 含量),以便在 LCA 清单中使用。最后,我们建议在使用 LCA 进行决策或战略环境规划时进行推论性 LCA-如果可能的话-以考虑分析的农业系统的不同功能。

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