Effects of green space dynamics on urban heat islands: Mitigation and diversification

Sun, Ranhao; Chen, Liding

doi:10.1016/j.ecoser.2016.11.011

Cited by 178 publications

(75 citation statements)

References 47 publications

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“…Moreover, it was noteworthy that, although the Green landscape transformed into Grey landscape led to an LST increase, the transformation of Grey landscape into Green landscape did not achieve a significant cooling effect (the median ∆LST was near 0). The warming effect resulting from green space reduction was greater than the cooling effect resulting from a green space increase, consistent with the conclusions of Sun and Chen [20]. Generally speaking, the temperature change resulting from different landscape transformations is not linearly reversible.…”

Section: Land Surface Temperature Change Resulting From Landscape Trasupporting

confidence: 87%

“…It can be concluded that the number of green spaces is not the only criterion that should be assessed for temperature mitigation. This study corroborated the opinion of Sun and Chen [20] who pointed out that the "ecosystem services of temperature mitigation were not equal between the loss and gain of green spaces even within the same area". Besides controlling the city's total number of green spaces through urban planning, other indicators should be introduced.…”

Section: Uncertainties Of Landscape Types Interpretation and Land Sursupporting

confidence: 89%

“…Additionally, it should be noted that the error of LST inversion is often no more than ±1 • C. In this study, 49 images were adopted and the median LST value had been extracted to remove the abnormal values. Although the same conclusion was reached in a former study [20], the research design in this study might be more strict due to the use of mass data. However, the result can still be improved as the error has not been completely excluded.…”

Section: Uncertainties Of Landscape Types Interpretation and Land Sursupporting

confidence: 61%

See 2 more Smart Citations

Diversification of Land Surface Temperature Change under Urban Landscape Renewal: A Case Study in the Main City of Shenzhen, China

2017

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Abstract:Unprecedented rapid urbanization in China during the past several decades has been accompanied by extensive urban landscape renewal, which has increased the urban thermal environmental risk. However, landscape change is a sufficient but not necessary condition for land surface temperature (LST) variation. Many studies have merely highlighted the correlation between landscape pattern and LST, while neglecting to comprehensively present the spatiotemporal diversification of LST change under urban landscape renewal. Taking the main city of Shenzhen as a case study area, this study tracked the landscape renewal and LST variation for the period 1987-2015 using 49 Landsat images. A decision tree algorithm suitable for fast landscape type interpretation was developed to map the landscape renewal. Analytical tools that identified hot-cold spots, the gravity center, and transect of LST movement were adopted to identify LST changes. The results showed that the spatial variation of LST was not completely consistent with landscape change. The transformation from Green landscape to Grey landscape usually increased the LST within a median of 0.2 • C, while the reverse transformation did not obviously decrease the LST (the median was nearly 0 • C). The median of LST change from Blue landscape to Grey landscape was 1.0 • C, corresponding to 0.5 • C in the reverse transformation. The imbalance of LST change between the loss and gain of Green or Blue landscape indicates the importance of protecting natural space, where the benefits in terms of temperature mitigation cannot be completely substituted by reverse transformation.

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Section: Land Surface Temperature Change Resulting From Landscape Trasupporting

confidence: 87%

Section: Uncertainties Of Landscape Types Interpretation and Land Sursupporting

confidence: 89%

Section: Uncertainties Of Landscape Types Interpretation and Land Sursupporting

confidence: 61%

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Diversification of Land Surface Temperature Change under Urban Landscape Renewal: A Case Study in the Main City of Shenzhen, China

2017

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“…The cooling effect of urban green space is regarded as an ecosystem regulating service [9,10]. However, rapid urbanization leads to a significant transformation of green space to impervious surface, urbanization profoundly influences biodiversity and ecosystem function; one of the ecological consequences of urbanization is the urban heat island (UHI) effect [11]. This phenomenon is particularly serious in the rapidly growing cities in China [12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Spatial Variation of Urban Thermal Environment and Its Relation to Green Space Patterns: Implication to Sustainable Landscape Planning

Wu¹,

Zhang

2018

Sustainability

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Abstract:The rapid changes of land covers in urban areas are one of major environmental concerns because of their environmental impacts. Such land cover changes include the transformation of green space to impervious surface, and the increase of land surface temperature (LST). The objective of this study was to examine the spatial variation of urban landscape composition and configuration, as well as their influences on LST in Suzhou City, China. Landsat-8 image was processed to extract land covers and retrieve LSTs that were used to study relationship between spatial variation of LST and land covers. The results indicated that there was a significantly negative correlation between mean LST and green space coverage along the urban-rural gradients. With every 10% increased green space coverage, the mean LST drop was about 1.41 • C. A grid-base analysis performed at various grid sizes indicated that an increase in the percentage of surface water body area has a greater cooling effect of the mean LST than a vegetation increase. The mean LST had a significantly negative correlation with both the shape and aggregation indexes of the green space patches. Our results suggest that the sustainable landscape planning of green space in a typical city with a large water area should include both the vegetation and the surface water covers. The increased percentage of vegetation and surface water covers had the greatest cooling effect on an urban thermal environment, which is one of the ecosystem services that green space provides. A dense distribution of green space patches with complex shapes should be considered in urban sustainable landscape planning for increasing ecosystem services.

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“…Such high dynmism could potentially influence the quality of UG and thereby ecosystem services ( Zhou et al 2017a). For example, the newly created UG patches may have lower quality than the currently/ previously existing ones (Wang et al 2019), and provide less ecosystem services (Sun and Chen 2017). This warrants further research in the future.…”

Section: The Implications Of Urban Planning and Managementmentioning

confidence: 99%

Spatial distribution of urban greenspace in response to urban development from a multi-scale perspective

Wang

Zhou

Wang

et al. 2020

Environ. Res. Lett.

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Urban expansion and renewal are one of the major drivers affecting urban landscapes worldwide. Considerable research has been conducted to understand how urban greenspace (UG) changes in response to urbanization at various scales from individual patches to landscapes. However, most of these studies have been conducted at a single scale, and little is known from a multiple scale perspective. Here, we present a multi-scale analytical framework to quantify the spatial pattern of greenspace and its change by integrating rank-size distribution, urban-rural gradient analysis and hotspots analysis. We applied this framework to nine major Chinese cities using 2.5 m resolution Advanced Land Observation Satellite and Systeme Probatoire d'Observation de la Terre imagery captured in 2005 and 2010. We found the multi-scale assessment provides integrated and synthesized information about the dynamics of UG that would otherwise be missed. First, the hotspots analysis revealed dramatic change in UG for all the nine cities, and such change tended to be spatially clustered. Second, the spatial heterogeneity of UG decreased from 2005 to 2010 for all the cities as a result of the increase of UG in urban core areas and loss of UG in the urban periphery, resulting in landscape homogenization along the urban-rural gradient. Third, substantial loss of UG co-occurred with densification of urban land development, indicating potential adverse impacts of compact city on urban greenery. Infill development became dominant, with percentage ranging from 52.7% in Shanghai to 90.6% in Nanjing, resulting in more compact urban form. This study underscores the importance of a multi-scale perspective on understanding the spatial distribution of UG and its change, and its response to urban development.

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Effects of green space dynamics on urban heat islands: Mitigation and diversification

Cited by 178 publications

References 47 publications

Diversification of Land Surface Temperature Change under Urban Landscape Renewal: A Case Study in the Main City of Shenzhen, China

Diversification of Land Surface Temperature Change under Urban Landscape Renewal: A Case Study in the Main City of Shenzhen, China

Spatial Variation of Urban Thermal Environment and Its Relation to Green Space Patterns: Implication to Sustainable Landscape Planning

Spatial distribution of urban greenspace in response to urban development from a multi-scale perspective

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