Comparing Organic and Conventional Farming Systems: Metrics and Research Approaches

J. Reganold
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引用次数: 9

Abstract

With the rise of organic farming worldwide, researchers are being presented with new opportunities to study organic systems and also to compare them to their conventional counterparts. This paper focuses on farming systems research comparing organic and conventional agroecosystems. The types of farming systems comparison studies, some of the metrics used, and integrative research approaches to farming systems studies are discussed. To hasten implementation of more sustainable agricultural systems, more farming systems comparison research, especially interdisciplinary and transdisciplinary, is needed, which brings together multiple disciplines and, when possible, non-academic participants to measure key sustainability indicators and/or ecosystem services. Such research does not just need to compare organic and conventional systems. In addition to organic farming systems, other innovative systems make up a modest, but growing, component of US and global agriculture and include alternative livestock production (e.g., grass-fed), mixed crop/livestock systems, conservation agriculture, integrated farming, agroforestry, and perennial grains. Such systems integrate production, environmental, and socioeconomic objectives and reflect greater awareness of ecosystem services. These systems can be studied in farming systems research, in which they are compared with each other or with conventional systems. Introduction Sale of organic foods in the past 15 years has been one of the fastest growing market segments within the global food industry (32). As a result, more arable land, research funding, and research test sites are being devoted to organic farming worldwide. In addition, there has been an increase in published scientific studies of organic systems, with different types of studies evolving and more parameters being measured. With this rise of organic farming worldwide, researchers are being presented with new opportunities to study organic systems and also to compare them to their conventional counterparts. For example, organic farming systems provide an opportunity to link basic and applied ecology through research on biodiversity and ecosystem services (11). In addition, we can compare soil health, crop quality, financial performance, or environmental quality of organic and conventional systems (23). Certain parameters, such as crop yield, have been included in so many organic/conventional comparison studies that metaanalyses have been done synthesizing this information on a global scale [e.g., (4,28)]. Although results from a meta-analysis must be treated with caution (because no single farming system or practice works best in every location), meta-analysis is a great statistical tool for identifying broad patterns not immediately visible in primary field research (20). This paper focuses on farming systems research comparing organic and conventional agroecosystems. Examples of comparison studies that have helped shape such farming systems research are the Corn Belt study (12), the Palouse erosion study (22), the South Dakota grain study (29), the Rodale Farming Systems Trial (5,16), the Washington State apple sustainability study (23), and the Swiss "DOK" Systems Trial (13). Here, the types of farming systems 29 April 2013 Crop Management Published June 13, 2014
比较有机和传统农业系统:指标和研究方法
随着世界范围内有机农业的兴起,研究人员有了新的机会来研究有机系统,并将其与传统系统进行比较。本文着重于农业系统的研究,比较了有机和常规农业生态系统。讨论了农业系统比较研究的类型、使用的一些指标以及农业系统研究的综合研究方法。为了加快实施更可持续的农业系统,需要进行更多的农业系统比较研究,特别是跨学科和跨学科的比较研究,这些研究汇集了多个学科,并在可能的情况下召集非学术参与者来衡量关键的可持续性指标和/或生态系统服务。这样的研究不仅仅需要比较有机系统和传统系统。除了有机农业系统之外,其他创新系统在美国和全球农业中也占了一个适度但不断增长的组成部分,包括替代畜牧业生产(如草饲)、混合作物/畜牧业系统、保护性农业、综合农业、农林复合和多年生谷物。这种系统整合了生产、环境和社会经济目标,反映了对生态系统服务的更高认识。这些系统可以在农业系统研究中进行研究,相互比较或与传统系统进行比较。在过去的15年里,有机食品的销售一直是全球食品行业中增长最快的细分市场之一(32)。因此,全世界有更多的可耕地、研究经费和研究试验场被用于有机农业。此外,发表的有机系统科学研究也有所增加,不同类型的研究不断发展,测量的参数也越来越多。随着世界范围内有机农业的兴起,研究人员有了新的机会来研究有机系统,并将其与传统系统进行比较。例如,有机农业系统通过对生物多样性和生态系统服务的研究提供了将基础生态学和应用生态学联系起来的机会(11)。此外,我们可以比较有机系统和传统系统的土壤健康、作物质量、财务绩效或环境质量(23)。某些参数,如作物产量,已经包含在许多有机/传统比较研究中,因此已经在全球范围内对这些信息进行了综合分析[例如,[4,28]]。虽然必须谨慎对待元分析的结果(因为没有单一的农业系统或实践在每个地方都是最好的),但元分析是一个很好的统计工具,可以识别在初级实地研究中无法立即看到的广泛模式(20)。本文着重于农业系统的研究,比较了有机和常规农业生态系统。有助于形成这种农业系统研究的比较研究的例子有玉米带研究(12)、帕卢斯侵蚀研究(22)、南达科他州谷物研究(29)、罗代尔农业系统试验(5,16)、华盛顿州苹果可持续性研究(23)和瑞士“DOK”系统试验(13)。这里是农业系统的类型,2014年6月13日出版
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