Department of Global Ecology, Carnegie Institution for Science, Stanford, California, 94305, USA.
U.S. Geological Survey, Western Ecological Research Center, Three Rivers, California, 93271, USA.
Ecol Appl. 2017 Dec;27(8):2443-2457. doi: 10.1002/eap.1620. Epub 2017 Nov 29.
Severe drought has the potential to cause selective mortality within a forest, thereby inducing shifts in forest species composition. The southern Sierra Nevada foothills and mountains of California have experienced extensive forest dieback due to drought stress and insect outbreak. We used high-fidelity imaging spectroscopy (HiFIS) and light detection and ranging (LiDAR) from the Carnegie Airborne Observatory (CAO) to estimate the effect of forest dieback on species composition in response to drought stress in Sequoia National Park. Our aims were (1) to quantify site-specific conditions that mediate tree mortality along an elevation gradient in the southern Sierra Nevada Mountains, (2) to assess where mortality events have a greater probability of occurring, and (3) to estimate which tree species have a greater likelihood of mortality along the elevation gradient. A series of statistical models were generated to classify species composition and identify tree mortality, and the influences of different environmental factors were spatially quantified and analyzed to assess where mortality events have a greater likelihood of occurring. A higher probability of mortality was observed in the lower portion of the elevation gradient, on southwest- and west-facing slopes, in areas with shallow soils, on shallower slopes, and at greater distances from water. All of these factors are related to site water balance throughout the landscape. Our results also suggest that mortality is species-specific along the elevation gradient, mainly affecting Pinus ponderosa and Pinus lambertiana at lower elevations. Selective mortality within the forest may drive long-term shifts in community composition along the elevation gradient.
严重干旱有可能导致森林中的选择性死亡,从而引起森林物种组成的变化。加利福尼亚州内华达山脉南部山麓和山区因干旱胁迫和虫害爆发而经历了广泛的森林衰退。我们使用来自卡内基航空天文台(CAO)的高保真成像光谱(HiFIS)和光探测和测距(LiDAR)来估计森林衰退对物种组成的影响,以响应干旱胁迫在红杉国家公园。我们的目的是:(1)量化沿内华达山脉南部海拔梯度的特定地点条件,这些条件介导树木死亡;(2)评估死亡率事件更有可能发生的地方;(3)估计在海拔梯度上哪些树种更有可能死亡。生成了一系列统计模型来对物种组成和识别树木死亡率进行分类,并对不同环境因素的影响进行了空间量化和分析,以评估死亡率事件更有可能发生的地方。在海拔梯度的较低部分,在西南和西向斜坡上,在土壤较浅,坡度较浅以及离水较远的地方,观察到更高的死亡率概率。所有这些因素都与整个景观的场地水分平衡有关。我们的结果还表明,死亡率沿海拔梯度是特定于物种的,主要影响较低海拔的Pinus ponderosa 和 Pinus lambertiana。森林内的选择性死亡可能会导致沿着海拔梯度的群落组成的长期变化。