Estimación de las variables de árboles de riesgo en un modelo de valoración económica del arbolado urbano de Bogotá
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It is pertinent to mention that at present governments, businesses and citizens increasingly recognize the value of the wide range of services that forest ecosystems produce. This awareness, has gone hand in hand with several natural losses that mean a burden to society, representing great costs in terms of loss of lives and money for example floods, fires, droughts, landslides and extreme storms, convergence in the costs of deforestation (Pagiola et al, 2003) In that sense, the importance of recognizing the presence of dangerous trees and taking appropriate corrective actions can avoid and prevent accidents and thus protect public and private property, infrastructure and save lives. The central point of the present research work is the economic value of urban woodland, including risk variables in a multiplicative model of replacement costs. Finally, it was determined that the most significant risk variables are Very inclined (Mi), mechanical damage (dm), ringing (an), excessive branching (exra), infrastructure damage (di), network interference (ir), excessive height (Ae) Danger of overturning (pv), which considerably reduce the value of an urban tree and should be considered when defining compensation, tariffs, etc. Likewise, highlights the need for analysis of local conditions and that are invited to use the results as a tool of judgment for environmental authorities and economic valuation of urban trees.