Significant effects of ecological context on urban trees’ cooling efficiency

Wang, Jia; Zhou, Weiqi; Jiao, Min; Zheng, Zhong; Ren, Tian; Zhang, Qiming

doi:10.1016/j.isprsjprs.2019.11.001

Cited by 57 publications

(35 citation statements)

References 77 publications

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“…PGS was the critical factor in estimating LST. This is consistent with prior studies that suggested that the amount of green space plays a more important role in the cooling effects of the city than their configurations [42,45,46,85]. The overall results suggest that the fraction of green patches, their geometrics shape, degree of aggregation and fragmentation, and the proximity distance of patches to each other, are the main determinants of LST in urban regions.…”

Section: Discussionsupporting

confidence: 91%

“…The study also found that increasing the spatial scale, the relationship between landscape metrics and LST, including both composition and configuration, becomes weaker, highlighting a scale effect. The results are consistent with the recent studies found elsewhere [46]. Furthermore, a nonlinear relation is noted between LST and vegetation cover-the LST reduction by enhancing the amount of vegetation cover was relatively lower at larger scales ( Table 6).…”

Section: Scale-dependence Of Ugs Spatial Patterns and Lst Relationshipssupporting

confidence: 92%

“…Many studies have estimated LST from medium-resolution remotely sensed satellite data (e.g., Landsat) for long-term temperature observations from the early 1980s. For instance, the significant cooling effects of urban green space (UGS) spatial patterns on the urban heat have been widely demonstrated by previous researches [22,24,35,[44][45][46][47]. Spatial pattern encompasses composition (the amounts and diversities of land cover types), as well as configuration (their distribution and structure).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Spatial Configuration and Extent Explains the Urban Heat Mitigation Potential due to Green Spaces: Analysis over Addis Ababa, Ethiopia

et al. 2020

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Urban green space (UGS) is considered a mitigative intervention for urban heat. While increasing the UGS coverage is expected to reduce the urban heat, studies on the effects of UGS configuration have produced inconsistent results. To investigate this inconsistency further, this study conducted a multi-spatial and multi-temporal resolution analysis in the Addis Ababa city metropolitan area for assessing the relationship between UGS patterns and land surface temperature (LST). Landsat images were used to generate land cover and LST maps. Regression models were developed to investigate whether controlling for the proportion of the green area (PGS), fragmentation, shape, complexity, and proximity distance can affect surface temperature. Results indicated that the UGS patches with aggregated, regular and simple shapes and connectivity throughout the urban landscape were more effective in decreasing the LST as compared to the fragmented and complicated spatial patterns. This finding highlighted that in addition to increasing the amount of UGS, optimizing the spatial structure of UGS, could be an effective and useful action to mitigate the urban heat island (UHI) impacts. Changing the spatial size had a significant influence on the interconnection between LST and UGS patterns as well. It also noted that the spatial arrangement of UGS was more sensitive to spatial scales than that of its composition. The relationship between the spatial configuration of UGS and LST could be changed when applying different statistical methods. This result underlined the importance of controlling the effects of the share of green spaces when calculating the impacts of the spatial configuration of UGS on LST. Furthermore, the study highlighted that applying different statistical approaches, spatial scale, and coverage of UGS can help determine the effectiveness of the association between LST and UGS patterns. These outcomes provided new insights regarding the inconsistent findings from earlier studies, which might be a result of the different approaches considered. Indeed, these findings are expected to be of help more broadly for city planning and urban heat mitigation.

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Section: Discussionsupporting

confidence: 91%

Section: Scale-dependence Of Ugs Spatial Patterns and Lst Relationshipssupporting

confidence: 92%

Section: Introductionmentioning

confidence: 99%

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Spatial Configuration and Extent Explains the Urban Heat Mitigation Potential due to Green Spaces: Analysis over Addis Ababa, Ethiopia

et al. 2020

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“…Such a relationship is known to be strongly mediated by the tree species, background climatic and environmental conditions as well as the spatial scale [45][46][47][49][50][51][52][53].…”

Section: Discussionmentioning

confidence: 99%

Evaluating urban greening scenarios for urban heat mitigation: a spatially-explicit approach

Bosch¹,

Locatelli²,

Hamel³

et al. 2020

Preprint

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Urban green infrastructure, especially trees, are widely regarded as one of the most effective ways to reducing urban temperatures in extreme heat events, and alleviate its adverse impacts on human health and well-being. Nevertheless, urban planners and decision-makers are still lacking methods and tools to spatially evaluate the cooling effects of urban green spaces and exploit them to assess greening strategies at the urban agglomeration scale. This article introduces a novel spatially-explicit approach to simulate urban greening scenarios by increasing the tree canopy cover in the existing urban fabric, and evaluating their heat mitigation potential. The latter is achieved by applying the InVEST urban cooling model to the synthetic land use/land cover maps generated for the greening scenarios. A case study in the urban agglomeration of Lausanne, Switzerland, illustrates the development of tree canopy scenarios following distinct spatial distribution strategies. The spatial pattern of the tree canopy strongly influences the human exposure to the highest temperatures, and small increases in the abundance of tree canopy cover with the appropriate spatial configuration can have major impacts on human health and well-being. The proposed approach supports urban planning and the design of nature-based solutions to enhance climate resilience.

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“…Roadside trees are essential in urban environment. Location and parameter measurements of urban vegetation are important for improving urban ecological environment and maintaining human mental health (Wang et al, 2020). At the same time, roadside trees can improve the air quality through carbon sequestration and have a direct impact on the degree of urban afforest (Zhao et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Using Mobile Laser Scanning Point Clouds to Extract Urban Roadside Trees for Ecological Benefits Estimation

Fan

Wang

2020

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Roadside trees in the city play a crucial role in addressing the issues of air pollution, urban heat island effects, road noise, and so on. This paper proposes an efficient and robust method to automatically extract individual roadside trees with morphological parameters from mobile laser scanning (MLS) point clouds for ecological benefits estimation. The proposed method consists of four steps: MLS data pre-processing, pole-like objects classification, individual tree extraction, morphological parameters calculation for ecological benefits estimation. The proposed method is verified using three complex datasets in Shanghai, China. Comprehensive experiments demonstrate that the proposed method achieves good performance in extracting individual tree in terms of average precision and recall (91.83%, 92.60%), and provides detailed information for ecological benefits estimation.

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Significant effects of ecological context on urban trees’ cooling efficiency

Cited by 57 publications

References 77 publications

Spatial Configuration and Extent Explains the Urban Heat Mitigation Potential due to Green Spaces: Analysis over Addis Ababa, Ethiopia

Spatial Configuration and Extent Explains the Urban Heat Mitigation Potential due to Green Spaces: Analysis over Addis Ababa, Ethiopia

Evaluating urban greening scenarios for urban heat mitigation: a spatially-explicit approach

Using Mobile Laser Scanning Point Clouds to Extract Urban Roadside Trees for Ecological Benefits Estimation

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