首页> 外文期刊>Biogeosciences >High-resolution mapping of time since disturbance and forest carbon flux from remote sensing and inventory data to assess harvest, fire, and beetle disturbance legacies in the Pacific Northwest
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High-resolution mapping of time since disturbance and forest carbon flux from remote sensing and inventory data to assess harvest, fire, and beetle disturbance legacies in the Pacific Northwest

机译:高分辨率的干扰和森林碳通量以来时间的遥感影像和清单数据,以评估西北太平洋地区的采伐,火灾和甲虫干扰遗产

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Accurate assessment of forest carbon storage and uptake is central to policymaking aimed at mitigating climate change and understanding the role forests play in the global carbon cycle. Disturbances have highly diverse impacts on forest carbon dynamics, making them a challenge to quantify and report. Time since disturbance is a key intermediate determinant that aids the assessment of disturbance-driven carbon emissions and removals legacies. We propose a new methodology of quantifying time since disturbance and carbon flux across forested landscapes in the Pacific Northwest (PNW) at a fine scale (30?m) by combining remote sensing (RS)-based disturbance year, disturbance type, and above-ground biomass with forest inventory data. When a recent disturbance is detected, time since disturbance can be directly determined by combining three RS-derived disturbance products, or time since the last stand clearing can be inferred from a RS-derived 30?m biomass map and field inventory-derived species-specific biomass accumulation curves. Net ecosystem productivity (NEP) is further mapped based on carbon stock and flux trajectories derived from the Carnegie-Ames-Stanford Approach (CASA) model in our prior work that described how NEP changes with time following harvest, fire, or bark beetle disturbances of varying severity. Uncertainties from biomass map and forest inventory data were propagated by probabilistic sampling to provide a statistical distribution of stand age and NEP for each forest pixel. We mapped mean, standard deviation, and statistical distribution of stand age and NEP at 30?m in the PNW region. Our map indicated a net ecosystem productivity of 5.9?Tg?C?yrsup?1/sup for forestlands circa 2010 in the study area, with net uptake in relatively mature (&?24 years old) forests (13.6?Tg?C?yrsup?1/sup) overwhelming net negative NEP from tracts that had recent harvests (?6.4?Tg?C?yrsup?1/sup), fires (?0.5?Tg?C?yrsup?1/sup), and bark beetle outbreaks (?0.8?Tg?C?yrsup?1/sup). The approach will be applied to forestlands in other regions of the conterminous US to advance a more comprehensive monitoring, mapping, and reporting of the carbon consequences of forest change across the US.
机译:准确评估森林碳储量和吸收量对于制定旨在减轻气候变化并了解森林在全球碳循环中的作用的决策至关重要。干扰对森林碳动态的影响极为不同,这使其成为量化和报告方面的挑战。干扰发生以来的时间是关键的中间决定因素,有助于评估干扰驱动的碳排放和清除遗留问题。通过结合基于遥感(RS)的扰动年,扰动类型和以上情况,我们提出了一种新的方法来量化自西北太平洋(PNW)森林景观中扰动和碳通量以来的时间(精细范围为30?m)。带有森林清单数据的地面生物量。当检测到最近的干扰时,可以通过组合三个源自RS的干扰产物来直接确定干扰以来的时间,或者可以从源自RS的30?m生物量图和田间资源清单中得出的物种推断出最后一次林分清除的时间-特定生物量积累曲线。在我们先前的工作中,碳源和通量轨迹是根据卡内基-艾姆斯-斯坦福方法(CASA)模型得出的,进一步描述了净生态系统生产力(NEP),该模型描述了NEP在收获,火灾或树皮甲虫干扰后随时间的变化。严重程度各不相同。生物量图和森林清单数据的不确定性通过概率抽样传播,以提供每个森林像素的林分年龄和NEP的统计分布。我们绘制了西北太平洋地区30?m的林分龄和NEP的均值,标准差和统计分布。我们的地图显示,研究区域2010年前后林地的净生态系统生产力为5.9?Tg?C?yr ?1 ,而相对成熟(≥24岁)的森林的净吸收量为(13.6来自最近收成的大片(?6.4?Tg?C?yr ?1 )上的?Tg?C?yr ?1 )压倒了净负NEP,着火(?0.5 Tg?C?yr ?1 )和树皮甲虫暴发(?0.8?Tg?C?yr ?1 )。该方法将应用于美国本土附近其他地区的林地,以对美国全境森林变化的碳后果进行更全面的监控,制图和报告。

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