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: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=614935
• 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。必须充分了解这些干扰对森林碳库的影响以及干扰后的动态（例如，枯木动态、再生）。因此，干扰的影响和恢复动态需要量化的类型和严重程度在一系列的生态区。需要将近期和长期干扰影响纳入碳预算模型，这些模型正越来越多地用于制定气候变化适应战略和确保可持续森林管理做法。 我的研究的长期目标有三个方面：（1）提高我们解释和模拟干扰强度的空间变异及其对碳库的影响的能力;（2）通过量化干扰效应，结合遥感数据，从森林资源清查数据中进行因果推断，从而提高我们对自然干扰对森林资源影响的认识;（3）通过实施和分析长期监测样地，提高我们对森林生态系统干扰后动态的认识。拟议的工作重点是实现长期的研究目标，通过分析森林野火在不列颠哥伦比亚省（BC）的内部和沿海森林造成紧迫的环境和社会问题，在BC省。拟议的工作将侧重于三个相互关联的研究项目：（1）火灾严重程度的空间变异性和对碳库的影响;（2）区域火灾影响估计;（3）BC沿海森林火灾后监测。 拟议的研究计划的结果将提高我们评估，建模和模拟即时和长期火灾影响的能力。需要更多地了解自然干扰动态，以支持森林管理决策，从而实现可持续森林管理，并提供参数，改进现有碳预算模型的校准。