Western Ecological Research Center, U.S. Geological Survey, Arcata, California, 95521, USA.
Department of Environmental Science and Policy, UC Davis, Davis, California, 95616, USA.
Ecol Appl. 2021 Apr;31(3):e02280. doi: 10.1002/eap.2280. Epub 2021 Feb 16.
Large, severe fires are becoming more frequent in many forest types across the western United States and have resulted in tree mortality across tens of thousands of hectares. Conifer regeneration in these areas is limited because seeds must travel long distances to reach the interior of large burned patches and establishment is jeopardized by increasingly hot and dry conditions. To better inform postfire management in low elevation forests of California, USA, we collected 5-yr postfire recovery data from 1,234 study plots in 19 wildfires that burned from 2004-2012 and 18 yrs of seed production data from 216 seed fall traps (1999-2017). We used these data in conjunction with spatially extensive climate, topography, forest composition, and burn severity surfaces to construct taxon-specific, spatially explicit models of conifer regeneration that incorporate climate conditions and seed availability during postfire recovery windows. We found that after accounting for other predictors both postfire and historical precipitation were strong predictors of regeneration, suggesting that both direct effects of postfire moisture conditions and biological inertia from historical climate may play a role in regeneration. Alternatively, postfire regeneration may simply be driven by postfire climate and apparent relationships with historical climate could be spurious. The estimated sensitivity of regeneration to postfire seed availability was strongest in firs and all conifers combined and weaker in pines. Seed production exhibited high temporal variability with seed production varying by over two orders of magnitude among years. Our models indicate that during droughts postfire conifer regeneration declines most substantially in low-to-moderate elevation forests. These findings enhance our mechanistic understanding of forecasted and historically documented shifts in the distribution of trees.
在美国西部的许多森林类型中,大规模、剧烈的火灾变得越来越频繁,导致成千上万公顷的树木死亡。这些地区的针叶树再生受到限制,因为种子必须长途跋涉才能到达大面积燃烧区的内部,而且由于越来越炎热和干燥的条件,建立新的植被也受到了威胁。为了更好地为美国加利福尼亚州低海拔森林的火灾后管理提供信息,我们从 2004 年至 2012 年期间发生的 19 场野火中的 1234 个研究样地中收集了火灾后 5 年的恢复数据,从 1999 年至 2017 年的 216 个种子降落陷阱中收集了 18 年的种子生产数据。我们结合广泛的气候、地形、森林组成和燃烧严重程度表面,使用这些数据构建了特定分类群、空间明确的针叶树再生模型,这些模型包含了火灾后恢复窗口期间的气候条件和种子可获得性。我们发现,在考虑到其他预测因子后,火灾后和历史降水都是再生的有力预测因子,这表明火灾后水分条件的直接影响和历史气候的生物惯性都可能在再生中发挥作用。或者,火灾后再生可能仅仅由火灾后气候驱动,与历史气候的明显关系可能是虚假的。再生对火灾后种子可获得性的估计敏感性在冷杉和所有针叶树中最强,在松树中较弱。种子生产表现出很强的时间可变性,种子生产在年份之间变化超过两个数量级。我们的模型表明,在干旱期间,火灾后针叶树再生在低至高海拔森林中下降幅度最大。这些发现增强了我们对预测和历史记录中树木分布变化的机制理解。