Great Lakes Forestry Centre, Canadian Forest Service, Natural Resources Canada, Sault Ste Marie, Ontario, Canada.
PLoS One. 2024 May 23;19(5):e0302699. doi: 10.1371/journal.pone.0302699. eCollection 2024.
In anticipation of growing wildfire management challenges, the Canadian government is investing in WildFireSat, an Earth observation satellite mission designed to collect data in support of Canadian wildfire management. Although costs of the mission can be reasonably estimated, the benefits of such an investment are unknown. Here we forecast the possible benefits of WildFireSat via an avoided cost approach. We consider five socio-economic components: suppression costs (fixed and variable), timber losses, property, asset and infrastructure losses, evacuation costs, and smoke related health costs. Using a Monte Carlo analysis, we evaluated a range of possible changes to these components based on expert opinions. The resulting Net Present Value (NPV) estimates depend on the presumed impact of using WildFireSat decision support data products, with pessimistic and conservative assumptions generating mission costs that typically exceed potential benefits by 1.16 to 1.59 times, while more optimistic assumptions generate benefits in excess of costs by 8.72 to 10.48 times. The analysis here excludes some possibly significant market and non-market impacts expected from WildFireSat due to data limitations; accounting for these additional impacts would likely generate positive NPVs under even cautious impact assumptions.
为应对日益严峻的野火管理挑战,加拿大政府投资了 WildFireSat 项目,这是一项地球观测卫星任务,旨在收集数据以支持加拿大的野火管理。虽然该任务的成本可以合理估算,但投资的效益尚不清楚。在这里,我们通过避免成本的方法来预测 WildFireSat 的可能效益。我们考虑了五个社会经济组成部分:抑制成本(固定和可变)、木材损失、财产、资产和基础设施损失、疏散成本以及与烟雾有关的健康成本。我们使用蒙特卡罗分析,根据专家意见评估了这些组成部分的一系列可能变化。净现值(NPV)估计值取决于使用 WildFireSat 决策支持数据产品的预期影响,悲观和保守的假设产生的任务成本通常比潜在效益高出 1.16 到 1.59 倍,而更为乐观的假设产生的效益则超过成本的 8.72 到 10.48 倍。由于数据限制,这里的分析排除了 WildFireSat 可能产生的一些重大市场和非市场影响;即使在谨慎的影响假设下,考虑到这些额外的影响,也可能会产生正的 NPV。