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首页> 外文期刊>Agriculture, Ecosystems & Environment: An International Journal for Scientific Research on the Relationship of Agriculture and Food Production to the Biosphere >European environmental stratifications and typologies: an overview. (Special Issue: Scaling methods in integrated assessment of agricultural systems.)
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European environmental stratifications and typologies: an overview. (Special Issue: Scaling methods in integrated assessment of agricultural systems.)

机译：欧洲环境分层和类型：概述。 （特刊：农业系统综合评估中的缩放方法。）

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摘要

A range of new spatial datasets classifying the European environment has been constructed over the last few years. These datasets share the common objective of dividing European environmental gradients into convenient units, within which objects and variables of interest have relatively homogeneous characteristics. The stratifications and typologies can be used as a basis for up-scaling, for stratified random sampling of ecological resources, for the representative selection of sites for studies across the continent and for the provision of frameworks for modeling exercises and reporting at the European scale. This paper provides an overview of five recent European stratifications and typologies, constructed for contrasting objectives, and differing in spatial and thematic detail. These datasets are: the Environmental Stratification (EnS), the European Landscape Classification (LANMAP), the Spatial Regional Reference Framework (SRRF), the Agri-Environmental Zonation (SEAMzones), and the Foresight Analysis for Rural Areas Of Europe (FARO-EU) Rural Typology. For each classification the objective, background, and construction of the dataset are described, followed by a discussion of its robustness. Finally, applications of each dataset are summarized. The five stratifications and typologies presented here give an overview of different research objectives for constructing such classifications. In addition they illustrate the most up to date methods for classifying the European environment, including their limitations and challenges. As such, they provide a sound basis for describing the factors affecting the robustness of such datasets. The latter is especially relevant, since there is likely to be further interest in European environmental assessment. In addition, advances in data availability and analysis techniques, will probably lead to the construction of other typologies in the future.
机译：在过去的几年中，已经建立了一系列对欧洲环境进行分类的新的空间数据集。这些数据集的共同目标是将欧洲环境梯度划分为方便的单位，其中感兴趣的对象和变量具有相对均一的特征。分层和类型可以用作扩大规模，对生态资源进行分层随机抽样，在整个非洲大陆进行代表性研究的地点选择以及为欧洲范围内的建模活动和报告提供框架的基础。本文概述了欧洲最近的五种分层和类型，它们是为对比目标而构建的，在空间和主题上的细节有所不同。这些数据集是：环境分层（EnS），欧洲景观分类（LANMAP），空间区域参考框架（SRRF），农业环境区划（SEAMzones）和欧洲农村地区的远景分析（FARO-EU） ）农村类型学。对于每种分类，描述了数据集的目的，背景和构造，然后讨论了其稳健性。最后，总结了每个数据集的应用。本文介绍的五个分层和类型概述了构建此类分类的不同研究目标。此外，它们还说明了对欧洲环境进行分类的最新方法，包括其局限性和挑战。这样，它们为描述影响此类数据集鲁棒性的因素提供了良好的基础。后者尤其重要，因为人们可能会对欧洲环境评估产生进一步的兴趣。此外，数据可用性和分析技术的进步可能会导致将来构建其他类型。

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