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Systematizing Environmental Indicators and Indices

机译:系统化环境指标和指标

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Environmental indicators and indices are detailed and complex devices that attempt to describe not only ecological status but also the reactions of the biosphere to the demands placed on it by society. Researchers have proposed the use of hundreds of different environmental indicators to evaluate everything from socially responsible investing, to the effects of governmental policies, and even cultural survivability. However, an unqualified environmental or sustainability index cannot be developed given the innate complexity of natural systems in combination with the influence of human activities on those systems. The trend in indicator development is toward the compilation of environmental and sustainability data sets and indices that are more encompassing. Therefore, it becomes essential to identify the fundamental system attributes indicators are measuring and indices are aggregating. This paper provides an overview on the make-up and limitations of environmental and sustainability indicator sets based on the driver, pressure, state, impact, response (DPSIR) framework. It goes on to suggest a technique to categorize environmental and sustainability indicators based on their alignment with DPSIR. Environmental or sustainability indicators and their associated indexes can be arranged into categories that are distinct, well defined and transferrable, regardless of the degree or intensity of aggregation. By so doing, the underlying preferences inherent in the index or data set are revealed and the user/decision maker/policy advocate is able to evaluate the full context of the information being presented.
机译:环境指标和指数是详细而复杂的设备,不仅试图描述生态状况,而且试图描述生物圈对社会提出的要求的反应。研究人员提议使用数百种不同的环境指标来评估从对社会负责的投资,政府政策的影响甚至文化生存能力等所有方面。但是,鉴于自然系统与生俱来的复杂性以及人类活动对这些系统的影响,无法制定出不合格的环境或可持续性指数。指标发展的趋势是朝着涵盖范围更广的环境和可持续性数据集和指数的方向发展。因此,确定指标正在测量和指标正在聚集的基本系统属性就变得至关重要。本文基于驱动程序,压力,状态,影响,响应(DPSIR)框架概述了环境和可持续性指标集的构成和局限性。它继续提出了一种根据与DPSIR的一致性对环境和可持续性指标进行分类的技术。可以将环境或可持续性指标及其相关指数分为不同类别,明确定义和可转移的类别,而不考虑聚集的程度或强度。通过这样做,揭示了索引或数据集中固有的基本首选项,并且用户/决策制定者/策略倡导者能够评估所呈现信息的完整上下文。

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