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Urban vegetation structure types as a methodological approach for identifying ecosystem services - Application to the analysis of micro-climatic effects

机译:城市植被结构类型作为识别生态系统服务的方法论方法-在微气候影响分析中的应用

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Increasingly decision-makers and politicians are becoming aware of the importance of urban ecosystem services (ESS). This creates an opportunity to deal with recent challenges of urban development. However, questions remain on how to assess and manage these services as well as to transfer the opportunities which present themselves into planning procedures. Since urban planning is mainly about land use decisions, approaches are required that describe and evaluate ESS in relation to the typologies and procedures of urban planners. ESS depend on the structural parameters of urban green spaces. In order to facilitate the analysis and evaluation of these parameters, a method has been sought to enable the detailed identification of ESS on the basis of urban vegetation structures. The so-called urban vegetation structure type (UVST) approach is based on the mapping of urban biotope types as well as an analysis of terrestrial and aerial photographs. It enables the identification and description of all areas within a city characterized by vegetation according to type, size, structural characterization as well as density, structure and building type. The analysis of vegetation structures and the determination of patterns of greenery were realized for the map of the urban biotope types of the City of Dresden, Germany. This led to the identification of 57 UVSTs, distinguished in terms of the level of soil-sealing, structure and type of building as well as the structure and amount of vegetation. By applying these UVSTs, average values for the amount of green space, the green volume and the proportion of sealed surface for the entire city as well as for urban districts can be determined. This provides a solid basis upon which to investigate diverse ESS and assess the ecological quality of urban structures. Climate change models predict that average temperatures are to rise. As densely built-up urban areas are particularly affected by such warming effects, planners need to take account of climate data in urban planning processes. An analysis of micro-climatic effects is offered by this paper as an example for the application of the introduced approach, particularly aimed at illustrating the differences between various urban vegetation structures concerning their micro-climatic effects. Selected results of climate modelling are presented, confirming clear differences in the micro-climatic effects of several UVSTs, both at city and urban-district level. The UVST approach is also appropriate for case studies concerning the micro-climatic impact of changes in land use at the urban-district level.
机译:决策者和政治人物越来越意识到城市生态系统服务(ESS)的重要性。这为应对城市发展的近期挑战创造了机会。但是,如何评估和管理这些服务以及如何将出现的机会转移到计划程序中仍然存在疑问。由于城市规划主要是关于土地使用的决策,因此需要采用与城市规划者的类型和程序相关的方法来描述和评估环境与社会标准。 ESS取决于城市绿地的结构参数。为了促进对这些参数的分析和评估,已寻求一种方法以使得能够基于城市植被结构来详细识别ESS。所谓的城市植被结构类型(UVST)方法基于对城市生物群落类型的映射以及对地面和航空照片的分析。它可以根据类型,大小,结构特征以及密度,结构和建筑物类型来识别和描述城市中所有以植被为特征的区域。通过德国德累斯顿市的城市生物群落类型图,实现了植被结构分析和绿化模式的确定。从而确定了57种UVST,它们在土壤密封程度,建筑物的结构和类型以及植被的结构和数量方面都得到了明显的区分。通过应用这些UVST,可以确定整个城市以及市区的绿地量,绿地量和密封面比例的平均值。这为调查各种环境与社会标准并评估城市结构的生态质量提供了坚实的基础。气候变化模型预测平均气温将上升。由于密集的城市地区尤其受到这种变暖影响,因此规划人员需要在城市规划过程中考虑气候数据。本文对微气候效应进行了分析,以作为所介绍方法应用的一个例子,其目的是说明各种城市植被结构之间关于微气候效应的差异。给出了气候模型的选定结果,证实了在城市和市区范围内几种UVST的微气候效应存在明显差异。 UVST方法也适用于有关城市地区土地利用变化的微气候影响的案例研究。

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