Distance and Intensity of Microclimatic Influence Provided by Urban Forest Typologies

Abstract

The main goal of this study was to determine the radius and intensity of the influence that different urban forest typologies exert on their surroundings. Thus, three distinct areas were selected for each type of urban forest: Remaining Forest, Old Green Area, Modern Green Area, Street Trees and Isolated Trees. The influence of these typologies on the surrounding microclimate was determined by mobile transects, collecting data every 50 m from a total route of 500 m in an adjacent street. In general, the influence radius of the urban forest on its surroundings was 200 m, while the Remaining Forest typology reached 250 m. On average, the influence intensity of urban forest at a distance of 50 m was 0.66ºC, at 100 m it was 0.45ºC, at 150 m it was 0.34ºC, and at 200 m it was 0.30ºC, but each typology varied. All microclimate results were more pronounced in summer. We concluded that the urban forest exerts a significant climatic influence on its surroundings, regardless of the typology.

Disentangling the interrelated abiotic and biotic pathways linking landscape composition and crop production

“…Since the FAB‐Gardens were installed at locations that are free of high green vegetation in a radius of 10 m, this scale offers no meaningful interpretation but is included for completeness. According to Martini et al (2018), the buffering effects of urban forests reach in general up to 200 m into the surroundings. At the first sight, our results would suggest that buffering effects of high green vegetation reach even further in the landscape.…”

ESMAX for spatial agroecology: A conceptual spatial model for the quantification and visualisation of ES performance from different configurations of landscape

“…The negative exponential kernel form is used in the InVEST (Integrated Valuation of Ecosystem Services and Trade‐offs) Urban Cooling model (Sharp et al, 2020) and is also supported by empirical measurement of cooling effect decay from parks in urban environments (Honjo & Takakura, 1990; Yin et al, 2022). Literature on urban cooling effect generally correlates cooling effect with the size of the parks and other urban green spaces (Blachowski & Hajnrych, 2021; Zardo et al, 2017), suggesting that green areas of all sizes, including individual trees, contribute to this cooling phenomenon (Martini et al, 2018). For the purposes of this work, we assume the second‐order effect of overlapping fields to be additive (Morris et al, 2024).…”

“…to this cooling phenomenon (Martini et al, 2018). For the purposes of this work, we assume the second-order effect of overlapping fields to be additive (Morris et al, 2024).…”

Análisis espacial de PM10 en el aire y su composición de metales con relación a factores ambientales alrededor de centros de educación preescolar en Cuenca

“…Así también, se observan correlaciones negativas entre el entorno de monitoreo y las variables de temperatura ambiente y humedad relativa, indicando que el incremento de barreras, especialmente vegetación tiene influencia sobre dichas variables. Se ha indicado que la presencia de áreas verdes ejerce una reducción de la temperatura y humedad relativa hasta en 250 m, variando por la tipología de infraestructura verde (Martini et al, 2018).…”