The regional distribution, dynamic change and assessment research of possible urban tree canopy in Beijing

Baoquan, 贾宝全 Jia; Wen, 张文 Zhang; Xiaoting, 李晓婷 Li; Tong, 李彤 Li

doi:10.5846/stxb201811012355

Cited by 2 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To improve the ecological conditions of the area and increase the ES value, the urban green space planning strategy should focus on areas such as grasslands and unbuilt land, rather than focusing on the green space area in the built land. In countries where urban forest research and practice had been carried out earlier, such as Europe and the United States, urban tree canopy cover (UTC) is the most common urban forest construction and evaluation index, and is generally divided into existing UTC and possible UTC [ 112 ]. Therefore, in future urban green space planning, the concept of potential canopy cover, i.e., land areas suitable for tree planting but that are not currently utilized for planting, can be applied, and this indicator provides a preliminary reference for industry managers and governmental decision-making departments to quantify the scale of ecological engineering from the perspective of future ecological construction.…”

Section: Discussionmentioning

confidence: 99%

Spatial Heterogeneity analysis of urban forest ecosystem services in Zhengzhou City

Yang

Liu

et al. 2023

PLoS ONE

View full text Add to dashboard Cite

Understanding the spatial distribution of urban forest ecosystem services is essential for urban planners and managers to effectively manage cities and is an essential part of sustainable urban development. Mapping the spatial distribution of urban forest ecosystem services and improving the accuracy of its assessment scale will undoubtedly provide a more accurate reference basis for later management. In this study, we used the i-Tree Eco model and kriging interpolation to quantify and map urban forest ecosystem services and their spatial distribution in Zhengzhou, a city along the lower reaches of the Yellow River in China; analyzed the mapping errors and applicable conditions; and further explored the spatial differences using geographic probes. The i-Tree Eco model estimation results showed that the total carbon storage in the urban forest of Zhengzhou city was 75.7 tons, the annual carbon sequestration was 14.66 tons, the trees and shrubs in the urban area of Zhengzhou city could effectively avoid a total of 307.86 m3 of surface runoff per year, and trees and shrubs removed 411.8 kg/year of air pollution (O3, CO, NO2, PM2.5, PM10, and SO2). The spatial distribution of all urban forest ecosystem services showed significant heterogeneity, but the spatial evaluation precision of different factors varied. GDP and population data showed a negative correlation with ecosystem services, and ecosystem services were abundant in watershed and woodland areas. This study differs from traditional assessments based on regional data due to its improved spatial evaluation accuracy, and the results, discussion, and analysis not only help Zhengzhou’s own urban development, but also provide a basis for the future construction and management of other cities, the Central Plains urban agglomeration, and the surrounding larger regions. This will contribute to the enhancement of ecosystem services and thus improve the ecological conditions of the region. This will also have a positive effect on the health of urban residents.

show abstract

Section: Discussionmentioning

confidence: 99%

Spatial Heterogeneity analysis of urban forest ecosystem services in Zhengzhou City

Yang

Liu

et al. 2023

PLoS ONE

View full text Add to dashboard Cite

show abstract

“… By referring to the research of Jia et al 24 and Gao et al 25 , Possible UTC (PUTC) can be increased, which mainly includes bare land and grassland with potential for development. The PUTC area of the study area is 538.27 hm 2 , among which the bare land area is 480.79 hm 2 and the grassland area is 57.48 hm 2 .…”

Section: Discussionmentioning

confidence: 99%

Study on the influence of urban tree canopy on thermal environment in Luoping County

Dai

Qin

Zhou

et al. 2023

Sci Rep

View full text Add to dashboard Cite

Urban forest is an integral part of the complex urban ecosystem, and tree canopy plays a key role in improving urban climatic environment. Urban Tree Canopy (UTC) is strongly linked to urban thermal environment and living quality of residents. In this study, Luoping County, a mountainous county in southwest China, was selected as the study area to uncover the inner connections between tree canopy and thermal environment, and provide relevant scientific references for the construction of livable forest cities in similar areas. Through eCongnition Developer, ENVI and ArcGIS software, the distribution of Land Surface Temperature (LST) and land cover types in the study area was extracted, 63 patches with super-large and extra-large tree canopy coverage selected, to explore the regulatory effect of UTC patches on urban thermal environment based on SPSS software. Results showed that the highest LST in the research area was 37.63 ℃, the lowest 24.73 ℃, and the average 30.83 ℃. Among the land cover types, the area of buildings and impervious surfaces was 1615.71 hm2, accounting for 55.76% of the total study area, which was the largest proportion and with widespread distribution; the area of grassland and water body was 57.48 hm2 and 12.35 hm2, respectively, taking up 1.98% and 0.43%, with a smaller proportion. Mean LST: impervious surface > bare land > grassland > tree canopy > water body. By increasing the area and perimeter of the patch covered by tree canopy, the cooling rate of the patch can be increased while the temperature inside the patch can be reduced. The relationship between the area and cooling rate is closer than that between perimeter and cooling rate. The increase of perimeter has a stronger alleviation effect on the internal temperature of the patch, whereas, the increase of area has a weaker effect in this respect.

show abstract

The regional distribution, dynamic change and assessment research of possible urban tree canopy in Beijing

Cited by 2 publications

References 0 publications

Spatial Heterogeneity analysis of urban forest ecosystem services in Zhengzhou City

Spatial Heterogeneity analysis of urban forest ecosystem services in Zhengzhou City

Study on the influence of urban tree canopy on thermal environment in Luoping County

Contact Info

Product

Resources

About