Quantification of fire effects and post-fire dynamics

火灾影响和火灾后动态的量化

• 批准号: RGPIN-2016-04242
• 负责人: Eskelson, Bianca
• 金额: $ 1.82万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 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=708617
• 关键词: Quantification; fire; effects; post; dynamics

Natural disturbances in Canadian forests are expected to increase in frequency, severity, and extent due to global climate change. It is critical to fully understand the impact of these disturbances on forest carbon pools as well as post-disturbance dynamics (e.g., dead wood dynamics, regeneration). As a result, disturbance effects and recovery dynamics need to be quantified by type and severity across a range of ecoregions. The immediate and long-term disturbance impacts need to be incorporated into carbon budget models which are increasingly being used to develop adaptation strategies to climate change and to ensure sustainable forest management practices. The long-term goals of my research are threefold: (1) enhance our ability to explain and model spatial variability in disturbance severity and its impact on carbon pools; (2) advance our knowledge of natural disturbance impacts on forest resources by quantifying disturbance effects with methods that allow making causal inferences from forest inventory data in combination with remote sensing data; and (3) improve our understanding of post-disturbance dynamics in forest ecosystems by implementing and analyzing long-term monitoring plots. The proposed work focuses on achieving the long-term research goals by analyzing forest wildfires in British Columbia (BC) interior and coastal forests that cause pressing environmental and social problems in BC. The proposed work will focus on three inter-related research projects: (1) Spatial variability of fire severity and impacts on carbon pools; (2) regional fire effects estimates, and (3) post-fire monitoring in BC coastal forests. The results of the proposed research program will improve our ability to assess, model, and simulate immediate and long-term fire effects. Increased understanding of natural disturbance dynamics is needed to support forest management decisions that lead to sustainable forest management and will also provide parameters to improve the calibration of existing carbon budget models.

由于全球气候变化，加拿大森林的自然干扰预计将在频率、严重程度和范围上增加。充分了解这些扰动对森林碳库的影响以及扰动后的动态（如枯木动态、更新）至关重要。因此，扰动效应和恢复动态需要在一系列生态区域中按类型和严重程度进行量化。当前和长期的干扰影响需要纳入碳预算模型，这些模型越来越多地用于制定适应气候变化的战略和确保可持续的森林管理做法。