Tree risk evaluation environment for failure and limb loss (TREEFALL): An integrated model for quantifying the risk of tree failure from local to regional scales. (May 2019)

• Record Type: Journal Article
• Authors: Gullick, D.; Blackburn, G.A.; Whyatt, J.D.; Vopenka, P.; Murray, J.; Abbatt, J.
• Is Part Of: Computers, environment and urban systems. Volume 75(2019)
• Page Start: 217
• Page End: 228
• Publication Date: 2019-05
• Subjects: Failure -- Wind-throw -- Model framework -- Integrated assessment -- Critical infrastructure support -- Decision support; City planning -- Data processing -- Periodicals; Regional planning -- Data processing -- Periodicals; 303.4834
• DOI: 10.1016/j.compenvurbsys.2019.02.001
• Languages: English
• ISSNs: 0198-9715

Abstract

Abstract: Trees provide a multitude of ecosystem services but are vulnerable to failure and limb loss under high winds. This is a natural process which initiates regeneration in forests but tree failures close to critical infrastructure networks lead to disruption to services and financial loss. Hence, network operators tend to apply the precautionary principle and remove all trees close to such infrastructure which leads to unnecessary loss of healthy trees, therefore, a more focussed approach is required. We introduce TREEFALL: an objective and scalable framework to assess tree failure risk. It uses novel approaches to quantify tree geometry, downscale wind parameters, simulate shielding by neighbouring trees and calculate wind-induced failure risk based on meteorological data for previous storms, scenarios or forecasts. Consequently, TREEFALL can identify individual trees which pose the greatest threat to infrastructure networks which can be targeted for field survey and management interventions where necessary. The model has broad potential for application to many different types of infrastructure networks and across the forest and environmental sciences. Highlights: Trees are vulnerable to failure and limb loss under high winds. Tree failures close to critical infrastructure networks lead to disruption to services and financial loss. Infastructure managers adopt a precautionary principle to remove proximal trees despite negative environmental impacts. We introduce TREEFALL: an objective and scalable framework to assess tree failure risk along infrastructure networks. TREEFALL identifies trees posing the greatest risk to infastructure networks as priorities for management interventions.