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Does Environment Filtering or Seed Limitation Determine Post-fire Forest Recovery Patterns in Boreal Larch Forests?

机译:环境过滤或种子限制是否决定了北方落叶松森林中的森林火灾后恢复方式?

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摘要

Wildfire is a primary natural disturbance in boreal forests, and post-fire vegetation recovery rate influences carbon, water, and energy exchange between the land and atmosphere in the region. Seed availability and environmental filtering are two important determinants in regulating post-fire vegetation recovery in boreal forests. Quantifying how these determinants change over time is helpful for understanding post-fire forest successional trajectory. Time series of remote sensing data offer considerable potential in monitoring the trajectory of post-fire vegetation recovery dynamics beyond current field surveys about structural attributes, which generally lack a temporal perspective across large burned areas. We used a time series of the normalized difference vegetation index (NDVI) and normalized difference shortwave infrared reflectance index (NDSWIR) derived from Landsat images to investigate post-fire dynamics in a Chinese boreal larch forest. An adjacent, unburned patch of a similar forest type and environmental conditions was selected as a control to separate interannual fluctuation in NDVI and NDSWIR caused by climate from changes due to wildfire. Temporal anomalies in NDVI and NDSWIR showed that more than 10 years were needed for ecosystems to recover to a pre-fire state. The boosted regression tree analysis showed that fire severity exerted a persistent, dominant influence on vegetation recovery during the early post-fire successional stage and explained more than 60% of variation in vegetation recovery, whereas distance to the nearest unburned area and environmental conditions exhibited a relatively small influence. This result indicated that the legacy effects of fire disturbance, which control seed availability for tree recruitment, would persist for decades. The influence of environmental filtering could increase with succession and could mitigate the initial heterogeneity in recovery caused by wildfire.
机译:野火是北方森林的主要自然干扰,火后植被的恢复速度会影响该地区土地与大气之间的碳,水和能量交换。种子的可用性和环境过滤是调节北方森林火后植被恢复的两个重要决定因素。量化这些决定因素随时间变化的方式有助于理解森林火灾后的演替轨迹。遥感数据的时间序列为监测火后植被恢复动态的轨迹提供了巨大的潜力,这超出了有关结构属性的当前野外调查,后者通常在大面积烧毁地区缺乏时空视野。我们使用来自Landsat影像的归一化差异植被指数(NDVI)和归一化差异短波红外反射指数(NDSWIR)的时间序列来研究中国北方落叶松森林的火后动态。选择了一个与森林类型和环境条件相似的,未燃烧的相邻未烧斑块作为对照,以将气候引起的NDVI和NDSWIR的年际波动与野火引起的变化分开。 NDVI和NDSWIR的时间异常表明,生态系统恢复到火灾前的状态需要10年以上的时间。增强回归树分析表明,火灾严重程度在火灾后的演替初期对植被恢复具有持续的显性影响,并解释了植被恢复变化的60%以上,而到最近的未燃烧区域的距离和环境条件显示出影响相对较小。该结果表明,火势干扰的传统影响将持续数十年,后者控制着树木募集的种子可用性。环境过滤的影响可能会随着演替的增加而增加,并可能减轻野火造成的恢复最初的异质性。

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