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Static and dynamic controls on fire activity at moderate spatial and temporal scales in the Alaskan boreal forest

机译:阿拉斯加北部森林中适度空间和颞尺度的消防活动静态和动态控制

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Wildfire, a dominant disturbance in boreal forests, is highly variable in occurrence and behavior at multiple spatiotemporal scales. New data sets provide more detailed spatial and temporal observations of active fires and the post‐burn environment in Alaska. In this study, we employ some of these new data to analyze variations in fire activity by developing three explanatory models to examine the occurrence of (1) seasonal periods of elevated fire activity using the number of MODIS active fire detections data set ( MCD 14 DL ) within an 11‐day moving window, (2) unburned patches within a burned area using the Monitoring Trends in Burn Severity fire severity product, and (3) short‐to‐moderate interval (60?yr) fires using areas of burned area overlap in the Alaska Large Fire Database. Explanatory variables for these three models included dynamic variables that can change over the course of the fire season, such as weather and burn date, as well as static variables that remain constant over a fire season, such as topography, drainage, vegetation cover, and fire history. We found that seasonal periods of high fire activity are associated with both seasonal timing and aggregated weather conditions, as well as the landscape composition of areas that are burning. Important static inputs to the model of seasonal fire activity indicate that when fire weather conditions are suitable, areas that typically resist fire (e.g., deciduous stands) may become more vulnerable to burning and therefore less effective as fire breaks. The occurrence of short‐to‐moderate interval fires appears to be primarily driven by weather conditions, as these were the only relevant explanatory variables in the model. The unique importance of weather in explaining short‐to‐moderate interval fires implies that fire return intervals ( FRI s) will be sensitive to projected climate changes in the region. Unburned patches occur most often in younger stands, which may be related to a greater deciduous fraction of vegetation as well as lower fuel loads compared with mature stands. The fraction of unburned patches may therefore increase in response to decreasing FRI s and increased deciduousness in the region, or these may decrease if fire weather conditions become more severe.
机译:野火是北方森林中的主要骚扰,在多个时空尺度的发生和行为中是高度变化的。新数据集提供了阿拉斯加的主动火灾和烧伤后环境的更详细的空间和时间观察。在这项研究中,我们采用这些新数据中的一些来分析了通过开发三种解释性模型来分析火灾活动的变化,以检查使用MODIS主动火灾检测数据集的数量(MCD 14 DL)来检查(1)升高的火灾活动的升高活动季节时段的发生)在11天的移动窗口中,(2)使用烧伤严重性火灾严重性产品的监测趋势(2)燃烧区域内的未燃烧斑块,(3)使用烧伤区域的燃烧的短到中等间隔(<60 yr)火灾Alasta大火数据库中的区域重叠。这三种模型的解释性变量包括可以在火季的过程中改变的动态变量,例如天气和烧伤日期,以及在火季保持恒定的静态变量,如地形,排水,植被覆盖,和火灾历史。我们发现,高火活动的季节性时期与季节性时序和聚集天气条件相关,以及燃烧的区域的景观组成。重要的静态输入到季节性火灾活动的模型表明,当火灾天气条件合适时,通常抵抗火(例如,落叶展示)的区域可能会变得更容易燃烧,因此随着防火突破的效果较低。发生短到中等间隔火灾的发生似乎主要由天气条件驱动,因为这些是模型中唯一的相关解释变量。天气在解释短到适度的间隔火灾时的独特重要性意味着火灾返回间隔(FRI S)对该地区的预计气候变化将敏感。未燃烧的斑块最常见于较年轻的立场,这可能与成熟的展台相比的较大的植被落下植被和较低的燃料载荷有关。因此,响应于下降的周期和该区域中的脱落率增加,不烧蚀斑块的级分可能会增加,如果火灾天气条件变得更严重,则这些可能会降低。

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