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Integrating expert knowledge and quantitative information for mapping cropping systems.

机译:整合专家知识和定量信息以绘制耕作系统。

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Scenarios are accepted as useful tools for assessing economic and environmental impacts of land use changes, for involving stakeholders in environmental issues and thus for decision-making. In most studies involving comparison and evaluation of scenarios, a reference situation from which different scenarios will be developed is defined. When dealing with rural areas, scenarios, and thus reference situation, should not only consider land use but also cropping systems. The usual lack of data concerning cropping system distribution in a given region can be overcome by the use of expert knowledge. In this paper, we present a procedure for the spatial allocation of cropping systems that integrates expert knowledge and quantitative data. The aim of this procedure is to develop a reference situation that makes explicit the link between cropping systems and the factors responsible for their geographical location (location factors). The procedure consists of five steps: (1) simplifying the cropping systems according to the main aspects that are significant regarding the study area and the studied issue, (2) identifying relevant location factors, (3) dividing the study area into support units, (4) collecting and analysing qualitative expert knowledge and (5) allocating cropping systems by deterministic algorithms and minimisation of cross-entropy. We present an example of the method's application. It concerns the Neste system, a catchment in south-western France where irrigation is a key issue because of scarcity of water. The reference situation is a distribution of the crops and their associated irrigation management. We have identified farm and soil types as location factors. They can serve to elaborate distributions of cropping systems on territories which could be used as discussion support in local debates on irrigation.Digital Object Identifier http://dx.doi.org/10.1016/j.landusepol.2010.05.001
机译:场景被认为是评估土地利用变化的经济和环境影响,使利益相关者参与环境问题并从而进行决策的有用工具。在大多数涉及情景比较和评估的研究中,都定义了一个参考情景,从中可以开发出不同的情景。在处理农村地区时,情景以及参考情景不仅应考虑土地使用,还应考虑耕作制度。可以通过使用专家知识来克服通常缺少的有关给定区域内种植系统分布的数据。在本文中,我们提出了一种整合专家知识和定量数据的种植系统空间分配程序。该程序的目的是开发一种参考情况,使种植系统与造成其地理位置的因素(位置因素)之间的联系明确。该程序包括五个步骤:(1)根据对研究区域和所研究问题具有重要意义的主要方面简化种植系统,(2)确定相关的地理位置因素,(3)将研究区域分为支持单元, (4)收集和分析定性专家知识,以及(5)通过确定性算法和最小化交叉熵分配种植系统。我们提供该方法的应用示例。它涉及雀巢系统,这是法国西南部的一个流域,那里由于缺水而灌溉是一个关键问题。参考情况是农作物的分布及其相关的灌溉管理。我们已将农场和土壤类型确定为位置因素。它们可以用来详细说明耕作系统在领土上的分布,可以在当地有关灌溉的辩论中用作讨论支持。数字对象标识符http://dx.doi.org/10.1016/j.landusepol.2010.05.001

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