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
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
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DOI：
10.1016/j.compenvurbsys.2019.02.001
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发表时间：
2019-05-01
影响因子：
6.8
通讯作者：
Abbatt, J.
中科院分区：
文献类型：
--
作者：
Gullick, D.;Blackburn, G. A.;Abbatt, J.
树木提供多种生态系统服务，但在大风下很容易枯萎和失去肢体。这是一个启动森林再生的自然过程，但关键基础设施网络附近的树木倒塌会导致服务中断和经济损失。因此，网络运营商倾向于采用预防原则并移除靠近此类基础设施的所有树木，这会导致不必要的健康树木损失，因此需要采取更有针对性的方法。我们介绍 TREEFALL：一个客观且可扩展的框架，用于评估树木倒塌风险。它使用新颖的方法来量化树木的几何形状、缩小风参数、模拟邻近树木的屏蔽，并根据先前风暴、情景或预测的气象数据计算风引起的故障风险。因此，TREEFALL 可以识别对基础设施网络构成最大威胁的单棵树木，必要时可以将其作为实地调查和管理干预的目标。该模型具有广泛的应用潜力，可应用于许多不同类型的基础设施网络以及森林和环境科学领域。
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.