Lepidopteran scales in lake sediments as a reliable proxy for spruce budworm outbreak events in the boreal forest of Eastern Canada

Marc-Antoine Leclerc, Martin Simard, Olivier Blarquez, Hubert Morin
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Abstract

Characterizing disturbance regimes over long time scales is paramount for describing and identifying their variability. The most important biotic disturbance in the eastern Canadian boreal forest is the defoliation caused by the eastern spruce budworm, a moth of the insect order Lepidoptera. Lepidopteran scales have recently been used to reconstruct spruce budworm population fluctuations throughout the Holocene. However, this novel proxy has yet to be compared to an independent proxy. This study aimed to determine whether lepidopteran scales found in the surface sediments of boreal lakes tracked large spruce budworm populations, that is, outbreaks, using yearly aerial surveys (1967–present) of spruce budworm defoliation as an independent proxy. Scales were extracted (1 cm resolution) from the top 20 cm of 210Pb-dated sediment cores recovered from nine lakes. To identify significant abundance peaks of scales in the time series, we removed background noise using a modified version of CharAnalysis. A 100-year smoothing window width combined with a 60th percentile threshold yielded the highest true positive and true negative occurrences, and the lowest false positive and false negative occurrences, with values of 0.69 and 0.70 for Cohen’s Kappa and Matthews correlation coefficient, respectively. Our findings demonstrate that lepidopteran scales are a suitable proxy for identifying spruce budworm outbreaks in the sediment record enabling the reconstruction of budworm and other lepidopteran species outbreak dynamics at millennial timescales.
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湖泊沉积物中的鳞翅目昆虫是加拿大东部北方森林云杉芽虫爆发事件的可靠替代物
要描述和确定扰动机制的变异性,最重要的是描述长时间尺度上的扰动机制。加拿大东部北方森林最重要的生物扰动是东部云杉芽虫(一种鳞翅目昆虫)造成的落叶。鳞翅目昆虫鳞片最近被用来重建整个全新世的云杉芽虫数量波动。然而,这种新的替代方法尚未与独立的替代方法进行比较。本研究旨在确定北方湖泊表层沉积物中发现的鳞翅目昆虫鳞片是否能追踪大型云杉芽虫的种群数量,即云杉芽虫的爆发,并使用云杉芽虫落叶的年度航空调查(1967 年至今)作为独立的替代物。从九个湖泊中采集的 210Pb 定期沉积物岩心顶部 20 厘米处提取鳞片(分辨率为 1 厘米)。为了识别时间序列中重要的鳞片丰度峰值,我们使用改进版的 CharAnalysis 去除背景噪声。100 年平滑窗口宽度与第 60 百分位数阈值相结合产生了最高的真阳性和真阴性出现率,以及最低的假阳性和假阴性出现率,科恩卡帕系数和马修斯相关系数分别为 0.69 和 0.70。我们的研究结果表明,鳞翅目昆虫是识别沉积记录中云杉芽虫爆发的合适替代物,可重建千年时间尺度上的芽虫和其他鳞翅目昆虫爆发动态。
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