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首页> 外文期刊>European Journal of Agronomy >A protocol for the conceptualisation of an agro-ecosystem to guide data acquisition and analysis and expert knowledge integration.
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A protocol for the conceptualisation of an agro-ecosystem to guide data acquisition and analysis and expert knowledge integration.

机译：一种农业生态系统概念化的协议，可指导数据获取和分析以及专家知识的整合。

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Innovative agricultural systems need to combine the production of goods with the provision of environmental services. When agronomists analyse or design multifunctional agro-ecosystems, they thus need to include knowledge of an increasing range of scientific disciplines (plant biology, soil science, ecology, etc.) while continuing to use their systemic approach as a cornerstone. Increasing amounts of knowledge of different types (concepts and data) will thus have to be included in systemic approaches that are developed in the agronomic domain. Knowledge integration and sharing are frequently hampered by the lack of detail in the assumptions made in each discipline. We hypothesise that a standardised description of the conceptual model underlying data collection and the analysis of agro ecosystems would improve transparency and knowledge integration. Here we propose a protocol to formalise the conceptual modelling of an agro-ecosystem (CMA) related to a specific agronomic issue. The CMA protocol is implemented in four iterative steps: (i) structural analysis, (ii) functional analysis, (iii) dynamic analysis, and (iv) consistency check. The final product is a conceptual model of an agro-ecosystem whose key elements are a structured knowledge base and associated graphical representations. The protocol was drawn up based on three case studies concerning three different biophysical objects (coffee agroforest, cotton, grapevine) with different problems to be addressed. They are given here as an illustration of how to apply the CMA protocol, and to show how it can be used as a tool to build a systemic representation of a complex agro-ecosystem, as a tool for agronomic diagnosis and yield gap analysis, or as a tool to elicit a range of expert knowledge to design new field experiments. The CMA protocol proved to be efficient in guiding the process of conceptualisation up to the point at which the variables that need to be measured in the field are identified and interlinked. It enabled elicitation and integration of knowledge from different biophysical disciplines and different types of expertise during the conceptualisation process. It also enabled identification of knowledge gaps, and the design and analysis of experiments to tackle complex problems. The CMA yielded by the protocol could be used again, thanks to its transparency and modularity. Further work is underway to improve the CMA representation and its uses in numerical model specification and in participatory methods for the design of cropping systems.Digital Object Identifier http://dx.doi.org/10.1016/j.eja.2011.07.004
机译：创新的农业系统需要将商品生产与环境服务相结合。当农艺师分析或设计多功能农业生态系统时，他们需要包括越来越多的科学学科（植物生物学，土壤科学，生态学等）的知识，同时继续使用其系统方法作为基础。因此，必须将越来越多的不同类型（概念和数据）的知识包括在农学领域开发的系统方法中。知识整合和共享经常因每个学科的假设缺乏细节而受阻。我们假设对数据收集和农业生态系统分析基础的概念模型进行标准化描述将提高透明度和知识整合。在这里，我们提出了一个协议来规范与特定农艺问题相关的农业生态系统（CMA）的概念模型。 CMA协议通过四个迭代步骤实现：（i）结构分析，（ii）功能分析，（iii）动态分析和（iv）一致性检查。最终产品是一个农业生态系统的概念模型，其关键要素是结构化的知识库和相关的图形表示。该协议是基于涉及三个不同生物物理对象（咖啡农林，棉花，葡萄）的三个案例研究制定的，具有不同的待解决的问题。在此给出它们的说明，以说明如何应用CMA协议，并说明如何将其用作构建复杂农业生态系统的系统表示的工具，作为农艺诊断和产量缺口分析的工具，或者作为一种工具，可以激发出大量专家知识来设计新的野外实验。实践证明，CMA协议可以有效地指导概念化过程，直至可以识别和互连需要在现场进行测量的变量。它可以在概念化过程中启发和整合来自不同生物物理学科和不同类型专业知识的知识。它还可以识别知识差距，并设计和分析解决复杂问题的实验。由于其透明性和模块化，该协议产生的CMA可以再次使用。正在进行进一步的工作以改善CMA表示形式及其在数值模型规范和参与系统设计中的参与方法中的使用。数字对象标识符http://dx.doi.org/10.1016/j.eja.2011.07.004

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