利用物种分布模型预测两种外来入侵植物雀稗(Paspalum distichum)和蒿花(Ambrosia artemisiolia)在朝鲜半岛的潜在分布

Seunghyun Lee, Kang-Hyun Cho, Woojoo Lee
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引用次数: 10

摘要

物种分布模型将是了解外来入侵物种如何在全国范围内传播以及环境变量对其分布的影响的有用工具。本文研究了两种外来入侵植物豚草(Ambrosia artemisiifolia)和红叶草(Paspalum distichum)在朝鲜半岛的潜在分布。最大熵(Maxent)模型用于预测它们的分布,通过从它们目前已知发生的地方推断它们的气候环境要求。我们从全球生物多样性信息设施和韩国植物物种数据库中获得了它们的存在数据,并从WorldClim数据集获得了生物气候数据。模拟结果表明,全球产状资料预测的潜在分布比本地产状资料预测的更准确。决定豚草分布的变量是最干旱月份的降水量和年平均气温。年平均气温和最冷季平均气温是决定红叶草分布的关键因素。该模型可作为预测外来物种入侵和管理外来物种扩张的有效工具。
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Prediction of Potential Distributions of Two Invasive Alien Plants, Paspalum distichum and Ambrosia artemisiifolia, Using Species Distribution Model in Korean Peninsula
: The species distribution model would be a useful tool for understanding how invasive alien species spread over the country and what environmental variables contribute to their distributions. This study is focused on the potential distribution of two invasive alien species, the common ragweed (Ambrosia artemisiifolia) and knotgrass (Paspalum distichum) in the Korean Peninsula. The maximum entropy (Maxent) model was used for the prediction of their distribution by inferring their climatic environmental requirements from localities where they are currently known to occur. We obtained their presence data from the Global Biodiversity Information Facility and the Korean plant species databases and bioclimatic data from the WorldClim dataset. As a results of the modelling, the potential distribution predicted by global occurrence data was more accurate than that by native occurrence data. The variables determining the common ragweed distribution were precipitation of the driest month and annual mean temperature. Both annual and the coldest quarter mean temperatures were critical factors in determining the knotgrass distribution. The Maxent model could be a useful tool for the prediction of alien species invasion and the management of their expansion.
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