Quantifying the stress on trees along the urban - rural gradient in the garden city of Bengaluru, India
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Our study is focused on quantifying various stress parameters experienced by trees in urban environment when compared to trees in transition and rural plots, since they are constantly exposed to different anthropogenic pressures. For the study, 23 plots were selected in northern and 25 plots in southern transect of Bengaluru city in which trees with dbh ≥ 10 cms were taken for study. Plots of one ha each were classified as urban, transition and rural based on the percentage of tree cover and built-up. The variables considered were as follows: Crown shape, Crown density, Crown symmetry, Tree access, Tree stand, Tree permat and on visual observation tree health conditions were also noted.<br /> Along the Northern transect, crown shape of the trees were classified under paraboloid and vertical ellipsoid. Majority of the tree were classified under medium (40% -80%) and sparse (0% -40%) crown. Most of the tree had non-symmetric crowns. The ratio of street trees and private / garden trees almost remained equal between the categories towards the urban domain. Based on delineation of tree crowns on satellite image, maximum no of trees were found solitary. In the rural plots, utmost trees were planted in bare soil. Gradually, the trees were found with non-permeable pavement towards the transition and urban plots. On visual analysis, dead declining trees were also found in all zones.<br /> Along the Southern transect, crown shape was classified under paraboloid and upside down paraboloid. Most of the trees were classified under dense (80% -100%) and sparse (0% -40%) crown. Most of the tree had non-symmetric crowns. Irrespective of the domain, most of the trees were found on the private / farm land and they were found solitary. On visual analysis, maximum trees were classified under healthy tree with whole or partial crown visible, but dead and declining trees were found in all domains.
Keywords: Landscape management, Monitoring and data collection, research
ID: 3481267