Sentence examples for urban forest structure from inspiring English sources

This study used field data from plots across an urban watershed, site-specific biomass equations, and structural equation modeling of urban forest structure and landscape variables to quantify the causal influences of tree cover, land use, stand density, species composition and diversity on carbon stores.

Finally, an urban forest structure map was produced from the vegetation indices map by using the regression models based on measured urban forest structural attributes and vegetation indices.

Urban forest structure is an important variable that influences urban forest ecosystem function across the landscape.

Policies that affect the functionality of urban forest structure must consider spatial heterogeneity and scale when making region-wide recommendations.

Pollution removal rates among the three socioeconomic subregions were different because of heterogeneous urban forest structure and pollution concentrations.

The heterogeneous urban forest structure is extremely challenging due to a mixture of spatial arrangements and a high diversity of tree species, height and age structure.

However, this will not neglect today's advantages of high resolution remote sensing, which already extend the possibilities of traditional field-based retrieval of heterogeneous urban forest structures across large and private areas and should be applied more frequently.

Heterogeneous definitions of urban areas and poorly homogenized forest data at the country scale have hampered the comparative assessment of peri-urban forest structure in developed countries.

Using landscape metrics derived from Urban Atlas maps (a Copernicus/GMES initiative providing a comprehensive land-use assessment of European cities >100,000 inhabitants), significant differences in peri-urban forest structure were detected under five European regions.

Compared to very high point density LiDAR data, Orka et al. [61] showed fairly accurate estimates of tree height (RMSE, 0.76 0.84 m) and derived stem diameter (RMSE, 3.10 to 3.17 cm) for a highly heterogeneous non-urban forest structure (echo-based LiDAR point clouds, small footprint < 21 cm, a mean pulse density of about 5/m2 with a total return of 30 100 echoes).

Urban forest construction is believed as an effective method to preserve urban biodiversity and restore urban green ecosystem.