Resilient urban forests for Canadians: Adapting to climate change for enhanced tree-related benefits

加拿大人的弹性城市森林：适应气候变化以增强与树木相关的效益

• 批准号: 536064-2018
• 负责人: Paquette, Alain
• 金额: $ 13.11万
• 依托单位: Université du Québec à Montréal
• 依托单位国家: 加拿大
• 项目类别: Advancing Climate Change Science in Canada
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=699166
• 关键词: Resilient; urban; forests; Canadians; Adapting

Urban forests (UF) are associated with important ecosystem services, such as reduced heat and improved air quality, which benefit both environmental and human health. These benefits will become even more important with climate change (CC), yet it is unclear how the UF will be impacted by CC, how that will affect human health, and how the UF can be adapted to face CC and better support ecosystem services. This includes removing carbon, which Canada has an obligation to report on. Current estimates of the UF carbon in Canada use rates based on empirical observations made in United States and/or in natural forests. This has been identified as an important source of uncertainty that needs to be addressed to forecast future UF density and composition, and to investigate the hypothesis that the effects of CC on people may be greater than previously thought if trees are also themselves affected negatively. Features such as tree size and crown shape that influence resilience to CC and ecosystem services in UF are also different than in natural forests. Yet incomplete inventories of urban trees and a paucity of data on canopies means that relevant data for modeling and prediction of service production is scarce. Our goal is to better characterize UF with richer data, and to identify best practices for developing resilient UFs that will support ecosystem services now and in the future.

城市森林 (UF) 与重要的生态系统服务相关，例如减少热量和改善空气 质量，有利于环境和人类健康。这些好处将变得更加重要 与气候变化（CC）有关，但尚不清楚 UF 将如何受到 CC 的影响，以及这将如何影响人类 健康，以及 UF 如何适应 CC 并更好地支持生态系统服务。这包括 消除碳，加拿大有义务对此进行报告。目前对加拿大超滤碳的估计 使用率基于在美国和/或天然林中进行的经验观察。这已经是 被认为是不确定性的一个重要来源，需要加以解决以预测未来的超滤密度和 成分，并调查 CC 对人类的影响可能比以前更大的假设 想想树木本身是否也受到负面影响。树木大小和树冠形状等特征 UF 中对 CC 和生态系统服务的影响恢复力也不同于天然林。然而 城市树木清单不完整，树冠数据缺乏，这意味着用于建模的相关数据 服务生产的预测很少。我们的目标是通过更丰富的数据更好地表征超滤，并 确定开发弹性UF的最佳实践，以支持现在和未来的生态系统服务。