نتایج جستجو برای: platanus acerifolia

تعداد نتایج: 394  

Journal: :Forests 2021

Street trees are integral components of urban green infrastructure. The importance benefits provided by street has motivated the development various tools to quantify value ecosystem services. i-Tree Eco is a widely applied method for quantifying forest structure, services, and values. Since its first release in 2006, been successfully utilized over 100 countries around world. This study descri...

Journal: :Sustainability 2022

Plants play an important role in the storage of organic carbon as a reservoir, mainly reflected absorption dioxide and release oxygen by plants through photosynthesis, which plays regulating regional balance. This study aimed to explore pattern dominant vegetation species diversity small basin ecosystems, analyze photosynthetic sequestration characteristics its sink potential, use Hancang River...

Journal: :Sustainability 2022

The concentration of heavy metals in plants’ leaves can effectively indicate the spatiotemporal differences environmental pollution, providing a scientific basis for monitoring urban air quality. Ni, Cu, Cd, Pb and Zn five different species (Ophiopogon japonicus, Ligustrum vicaryi, Platanus acerifolia, Sophora japonicaand Cedrusdeodara) were measured, which from I, II, III, IV (0.05 m, 0.25 1 4...

Journal: :South-east European forestry 2022

Phenological research of plant species is great importance in the context adaptation to climate change and changing environmental factors, especially dynamic urban environments, such as area Sarajevo. This aims determine trends phenological pattern hybrid plane trees Sarajevo so that recommendations can be made for use greening suburban areas since they largely depend on microclimatic condition...

Journal: :Atmosphere 2023

In order to maximize ecosystem services (ES), a proper planning of urban green areas is needed. this study, the greenery two Italian cities (Milan and Bologna) exposed high levels atmospheric pollutants was examined. Vegetation maps were developed through supervised classification algorithm, trained over remote sensing images, integrated by local trees inventory, used as input for AIRTREE multi...

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