Effects of the spatial configuration of trees on urban heat mitigation: A comparative study

Effects of the spatial configuration of trees on urban heat mitigation: A comparative study
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树木空间配置对城市散热影响的比较研究

DOI:
10.1016/j.rse.2017.03.043
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发表时间:
2017-06
影响因子:
13.5
通讯作者:
Cadenasso Mary L.
Cadenasso Mary L.
中科院分区:
工程技术1区
文献类型:
--
作者:
Zhou Weiqi;Wang Jia;Cadenasso Mary L.

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城市绿地对城市热量具有显著的降温作用。最近的研究调查的影响,绿地空间配置显示显着的,但不一致的结果,包括积极和消极的影响。为了研究这种不一致的原因,我们比较了巴尔的摩,马里兰州和萨克拉门托,加利福尼亚州,美国,两个城市有非常不同的气候条件。以1 m高分辨率遥感影像上的树木为研究对象,采用不同的统计方法对树木空间构型与地表温度的关系进行了定量分析和比较,并以不同尺度的空间单元进行了分析。结果表明:(1)巴尔的摩的树木降温效率高于炎热干燥的萨克拉门托。此外,百分比覆盖的树木更重要的是比他们的空间配置在预测LST在巴尔的摩,但相反的是发现在萨克拉门托。(2)树木空间配置对萨克拉门托LST的影响大于巴尔的摩,并且两个城市之间树木空间配置对LST的影响在幅度、重要性甚至方向上差异很大。值得注意的是,平均斑块大小对巴尔的摩的LST有显著的正效应,但对萨克拉门托的LST有负效应。相反,边缘密度对LST在巴尔的摩有负面影响,但在萨克拉门托的积极影响。(3)不同的统计方法导致LST和配置指标之间的关系发生了巨大变化。我们的研究结果强调了控制的树木覆盖率的影响的必要性,量化的影响时,LST的树木的空间配置。(4)空间自相关可能会影响景观指标和LST之间的关系,特别是当分析单位相对较小。(5)空间配置指标与LST之间的关系随着分析单元大小的增加而增强。本研究有助于加深对绿地空间配置对城市热岛效应的认识。它还为城市规划者和自然资源管理者提供了重要的见解,说明如何通过城市设计和植被管理减轻城市化对城市热岛的影响。
Urban greenspace has significant cooling effects on urban heat. Recent studies investigating the effects of spatial configuration of greenspace show significant, but inconsistent results, including both positive and negative effects. To investigate the causes of this inconsistency, we compared Baltimore, MD and Sacramento, CA, USA, two cities with very different climatic conditions. We quantified and compared the relationships between the spatial configuration of trees and land surface temperature (LST) using different statistical approaches, and conducted the analyses using spatial units of different sizes, based on trees mapped from 1 m high resolution imagery. We found: (1) trees' cooling efficiency was higher in Baltimore than in hotter and drier Sacramento. Additionally, percent cover of trees was more important than their spatial configuration in predicting LST in Baltimore, but the opposite was found in Sacramento. (2) Spatial configuration of trees affects LST more in Sacramento than in Baltimore, and the effects of spatial configuration of trees on LST varied greatly in terms of magnitude, significance, and even direction, between the two cities. Notably, mean patch size had significantly positive effects on LST in Baltimore, but negative effects in Sacramento. In contrast, edge density had negative effects on LST in Baltimore, but positive effects in Sacramento. (3) Different statistical approaches resulted in dramatic changes in the relationships between LST and configuration metrics. Our results underscore the necessity of controlling the effects of percent cover of trees, when quantifying the effects of spatial configuration of trees on LST. (4) Spatial autocorrelation may influence relationships between landscape metrics and LST, particularly when the unit of analysis is relatively small. (5) The relationships between spatial configuration metrics and LST are stronger with an increase of the size of the analytical unit. This study can enhance our understanding of the effects of spatial configuration of greenspace on urban heat island (UHI). It also provides important insights to urban planners and natural resource managers on how to mitigate the impact of urbanization on UHI through urban design and vegetation management.
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