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首页> 外文期刊>Western North American Naturalist >The potential for pollen records to detect mountain pine beetle disturbance in a pine-dominated forest, Idaho, USA
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The potential for pollen records to detect mountain pine beetle disturbance in a pine-dominated forest, Idaho, USA

机译:花粉记录在美国爱达荷州的森林占地森林中检测山松甲虫干扰的潜力

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Mountain pine beetle (MPB; Dendroctonus ponderosae Hopkins) outbreaks are an important component in forest succession for Pinus (pine) forests in the western United States. The research presented here is the first attempt to use pollen data from lake sediment cores to identify MPB disturbance over the past 1600 years within a pine-dominated forest. With evidence of both current and presettlement MPB outbreaks in the surrounding forest, Fishstick Lake, a small subalpine lake in the Sawtooth Mountains of Idaho, is located in a Pinus contorta (lodgepole pine)- dominated forest. Previous work by Morris et al. (2010) and Morris and Brunelle (2012) used pollen data from lake sediment cores to identify Dendroctonus rufipennis (spruce beetle) outbreaks in a Picea engelmannii (Engelmann spruce) forest by identifying the tradeoff between host (P. engelmannii) and nonhost (Abies lasiocarpa [subalpine fir]) conifers following an outbreak. This research tested the hypothesis that pollen data can be used to identify disturbance events that affect Pinus within a Pinus-dominated forest. Because the abundance of non-pine taxa is low in pinedominated systems, it was uncertain whether the response of non-pine, nonhost taxa would be detectable. This study used a normalized difference pollen index (NDPI) to test this hypothesis. The results indicate that proxy data (pollen) can be used to identify MPB disturbance in a pine-dominated forest.
机译:山松甲虫(MPB; Dendroctonus ponderosae Hopkins)爆发是美国西部森林连续的重要组成部分。这里提出的研究是第一次尝试使用湖泊沉积物核心的花粉数据,以识别过去1600年内在松树主导的森林中的MPB障碍。有了目前和预留MPB爆发的证据,在周围的森林中,位于爱达荷州锯齿山脉的一个小象征湖泊,位于塞纳州的锯齿山脉的小亚马尔斯湖(Lodgepole Pine) - 主导森林。以前的工作由Morris等。 (2010)和Morris和Brunelle(2012年)通过识别宿主(P.Negelmannii)和非Hyhost(Anghost)之间的权衡来鉴定Picea Engelmannii(Engelmann Spruce)森林中的Dencroctonus Rufipennis(Engelmann Spruce)森林中的Dencroctonus rufipennis(云杉甲虫)爆发。 Lasiocarpa [Subalpine FIR])爆发后的针叶树。这项研究测试了花粉数据可用于识别影响疙瘩主导森林内的干扰事件的干扰事件。由于诸如封面系统中的非杉木分类群较低,因此不确定非松树,非高速分类群的响应是可检测的。这项研究使用了归一化差异花粉指数(NDPI)来测试了这一假设。结果表明,代理数据(花粉)可用于识别松木主导的森林中的MPB障碍。

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