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When a tree falls: Controls on wood decay predict standing dead tree fall and new risks in changing forests

机译:当树木倒下时:通过控制木材腐烂,可以预测死树的倒立状态和改变森林的新风险

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摘要

When standing dead trees (snags) fall, they have major impacts on forest ecosystems. Snag fall can redistribute wildlife habitat and impact public safety, while governing important carbon (C) cycle consequences of tree mortality because ground contact accelerates C emissions during deadwood decay. Managing the consequences of altered snag dynamics in changing forests requires predicting when snags fall as wood decay erodes mechanical resistance to breaking forces. Previous studies have pointed to common predictors, such as stem size, degree of decay and species identity, but few have assessed the relative strength of underlying mechanisms driving snag fall across biomes. Here, we analyze nearly 100,000 repeated snag observations from boreal to subtropical forests across the eastern United States to show that wood decay controls snag fall in ways that could generate previously unrecognized forest-climate feedback. Warmer locations where wood decays quickly had much faster rates of snag fall. The effect of temperature on snag fall was so strong that in a simple forest C model, anticipated warming by mid-century reduced snag C by 22%. Furthermore, species-level differences in wood decay resistance (durability) accurately predicted the timing of snag fall. Differences in half-life for standing dead trees were similar to expected differences in the service lifetimes of wooden structures built from their timber. Strong effects of temperature and wood durability imply future forests where dying trees fall and decay faster than at present, reducing terrestrial C storage and snag-dependent wildlife habitat. These results can improve the representation of forest C cycling and assist forest managers by helping predict when a dead tree may fall.
机译:当死树倒下时,它们会对森林生态系统产生重大影响。断枝秋天可以重新分布野生动植物栖息地并影响公共安全,同时可以控制树木死亡的重要碳(C)循环后果,因为地面接触会加速枯木腐烂过程中的C排放。要管理不断变化的森林中突然变化的后果,就需要预测何时由于木材腐烂侵蚀机械抵抗力而导致下降。先前的研究已经指出了常见的预测因子,例如茎的大小,腐烂程度和物种同一性,但很少有人评估驱动跨生物群落的障碍的潜在机制的相对强度。在这里,我们分析了遍及美国东部从北方森林到亚热带森林的近100,000次重复断枝观测,以显示木材腐烂控制断枝以可能产生以前无法识别的森林气候反馈的方式下降。木材腐烂较快的较暖场所的钩落率要快得多。温度对断枝率下降的影响是如此之大,以至于在简单的森林碳模型中,预计到本世纪中叶变暖会使断枝率C降低22%。此外,木材耐腐性(耐久性)的物种水平差异可准确预测障碍物掉落的时间。站立的枯树的半衰期差异与用木材建造的木结构使用寿命的预期差异相似。温度和木材耐久性的强烈影响意味着即将死去的树木倒塌和腐烂的森林将比现在更快,从而减少了陆地碳的储存和依赖于障碍物的野生生物栖息地。这些结果可以帮助预测死树何时倒下,从而改善森林碳循环的代表性,并帮助森林管理者。

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