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Reconstructing the historical spread of non-native plants in the North American West from herbarium specimens

机译:从植物标本中重建北美西部非原生植物的历史传播

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The aim of this study is to demonstrate that the historical spread patterns of 10, in part poorly investigated exotic plant species can be reconstructed from herbarium records, using methods to account for herbarium collection bias. We collected herbarium specimen data of native and non-native plants from several North American herbaria, digitized and examined them at county scale. The year of the first collection in each county of the research area was recorded for all taxa. Cumulative number of specimen locations was plotted vs. time to construct invasion curves. For native species, these curves represent the spatiotemporal sampling distribution for herbarium specimens in the research area as well as the history of knowledge about geographical species distribution over time. Deviations from this curve provide information on the spread rates of non-native species over time. Periods of invasiveness become visible if the ratio of cumulative number of (a) locations of each exotic species and (b) locations of all native species for every year on record is plotted vs. time (proportion curves). We could identify main plant collection periods in the late 1930s, the 1970s and between 2007 and 2011. Starting in the 19th century, the intensive collection period of these plants was between 1980 and 2010. Invasion curves of three of the investigated alien species showed significant deviations from the native plant collection curve. Several highly variable periods of invasiveness could be detected for all studied non-natives, many of these periods occurring in the late 19th century. The calculation of proportion curves successfully revealed periods of invasiveness for the first time in the research area and minimized effects of collection bias.
机译:本研究的目的是证明,历史扩散模式10,部分调查良好的异国情调植物物种,可以使用方法来重建植物标目记录,以解释植物标目收集偏差。我们收集了来自几个北美植物珠三角的原生和非原生植物的植物标本数据,数字化并在县规模审查。所有县的第一次收集的年份被记录为所有分类赛。绘制了标本位置的累积数量与构建侵袭曲线的时间。对于原生物种,这些曲线代表了研究领域的植物标目标本的时空抽样分布以及关于地理物种随时间分布的知识历史。与该曲线的偏差随着时间的推移提供有关非本地物种的扩展率的信息。如果每年在记录上每年的所有天然物种和(b)每个天然物种的位置的累积数量的(a)位置的累积数量的比率,则侵袭性变得可见。绘制与时间(比例曲线)。我们可以识别20世纪30年代后期和2007年至2011年末的主要植物收集期。从19世纪开始,这些植物的密集收集期在1980年至2010年之间。三种调查的外来物种的入侵曲线表现出显着与本土植物收集曲线的偏差。对于所有学习的非本地人来说,可以检测到几个高度可变的侵袭性,其中许多在19世纪后期发生的这些时期。比例曲线的计算成功揭示了研究区的第一次和最小化收集偏差影响的侵袭性。

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