评估气候预估对绿色基础设施规划耐热区的影响

L. Sylvester, O. Omitaomu, Esther S. Parish, B. Bhaduri
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引用次数: 2

摘要

背景:绿色基础设施(GI)作为一种适应城市洪水的策略被广泛推广。就像城市洪水一样,树种也会受到未来气候条件的影响。然而,由于缺乏更高空间分辨率的气候数据,对未来气候对地理标志规划的影响研究有限。在本文中,我们分析了气候预估对热硬性区的影响,因为这可能会影响未来几年的地理标志景观。这是我们早期关于评估气候预测对植物抗寒区影响的工作的延伸。方法:利用10个耦合模式比较项目第5阶段(CMIP5)气候模式在历史(1980 - 2005)和预测(2025- 2050)时期的缩小比例的日温度数据,分析了田纳西州诺克斯县流域未来的耐热区,并分析了这些输出结果对研究区域当前推荐的用于地理特征选择的本地和非本地树种的影响。所有的模型都表明,研究区域的相当一部分将进入下一个更温暖的热区。虽然大多数树木仍然适合GI,但有几种树木已经达到了理想热区的极限。本研究的见解将有助于指导gii在整个研究区域的选择和安置。具体来说,它应该帮助绿色基础设施规划者设计更好的缓解和适应战略,以实现更高的投资回报,因为现在越来越多的城市投资于地理标志项目。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluating the Implications of Climate Projections on Heat Hardiness Zones for Green Infrastructure Planning
Background: Green Infrastructure (GI) is widely being promoted as an adaptation strategy for urban flooding. Like urban flooding, tree species could be impacted by future climatic conditions. However, there have been limited studies on the implications of future climate on GI planning, mostly due to the lack of climate data at higher spatial resolutions. In this paper, we analyze the implications of climate projections on heat hardiness zones since this could impact the GI landscape in the coming years. This is an extension of our earlier work on evaluating impacts of climate projections on plant hardiness zones. Method: Using downscaled daily temperature data from ten Coupled Model Intercomparison Project Phase 5 (CMIP5) climate models for the historical (1980 - 2005) and projected (2025 - 2050) periods, we analyzed future heat hardiness zones in the watershed bounding Knox County, TN. We analyzed the implications of these outputs for the current list of suggested native and non-native tree species selected for GI in the study area. All the models suggest that a considerable part of the study area will move into the next warmer heat zone. While most trees remain suitable for GI, several are at the limit of their ideal heat zones. The insights from this study will help guide the selection and placement of GI across the study area. Specifically, it should help green infrastructure planners design better mitigation and adaptation strategies to achieve higher returns on investments as more cities are now investing in GI projects.
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