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首页> 外文期刊>Invasive Plant Science and Management >Invasion Risk in a Warmer World: Modeling Range Expansion and Habitat Preferences of Three Nonnative Aquatic Invasive Plants
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Invasion Risk in a Warmer World: Modeling Range Expansion and Habitat Preferences of Three Nonnative Aquatic Invasive Plants

机译:温暖世界中的入侵风险:三种非本土水生入侵植物的范围扩展和生境偏好建模

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Biological invasions and climate change pose two of the most important challenges facing global biodiversity. Of particular importance are aquatic invasive plants, which have caused extensive economic and environmental impacts by drastically altering native biodiversity and ecosystem services of freshwater wetlands. Here, we used the maximum entropy model, Maxent, to model the potential range expansion of three nonnative aquatic invasive plants: alligatorweed, limnophila, and giant salvinia, throughout the continental United States under current, 2030 to 2059 (2040), and 2070 to 2099 (2080) climate scenarios. Maxent is a popular method to model predicted current and future species distributions based on biogeography and climate. Alligatorweed, limnophila, and giant salvinia are noxious invaders of freshwater habitats in the southeastern United States and cause economic and ecological loss. In addition, we analyzed each species' habitat preference based on wetland type, occurrence in man-made habitats, and distance to the nearest stream to better understand what future habitats are at risk and how these species spread. Our results show that in 2040 and 2080 climate scenarios, all three species have the potential to increase their range throughout the northeastern United States and as far as New York and Massachusetts. The spatial distribution of alligatorweed was primarily determined by precipitation of the warmest quarter (15.8%), limnophila was primarily determined by precipitation of the warmest quarter (52.2%) and mean temperature of the coldest quarter (21.8%), and giant salvinia was primarily determined by the mean temperature of the coldest quarter (24.3%). All three species were found significantly more frequently in lakes and ponds than in other freshwater habits. Giant salvinia was found significantly more often in man-made wetland habitats. In order to reduce the detrimental impacts of these species, land managers in the northeastern United States should concentrate early detection and rapid response management in lakes, ponds and man-made wetland habitats.
机译:生物入侵和气候变化构成了全球生物多样性面临的两个最重要的挑战。特别重要的是水生入侵植物,它们通过极大地改变淡水湿地的原生生物多样性和生态系统服务而引起了广泛的经济和环境影响。在这里,我们使用最大熵模型Maxent来模拟当前,2030年至2059年(2040年)和2070年至2070年之间三种非本地水生入侵植物(扬子鳄,嗜睡菌和巨大的沙律)的潜在范围扩展。 2099(2080)气候情景。 Maxent是一种流行的方法,可以根据生物地​​理和气候对当前和将来的物种分布进行建模。扬子鳄,嗜盐菌和巨大的鼠尾草是美国东南部淡水生境的有害入侵者,并造成经济和生态损失。此外,我们根据湿地类型,人工栖息地的发生情况以及到最近溪流的距离,分析了每个物种的栖息地偏好,以更好地了解未来哪些栖息地处于危险之中以及这些物种如何扩散。我们的结果表明,在2040年和2080年的气候情景中,这三种物种都有可能扩大其分布范围,遍及美国东北部以及纽约和马萨诸塞州。扬子鳄的空间分布主要由最温暖的四分之一的降水确定(15.8%),嗜脂菌主要由最温暖的四分之一的降水确定(52.2%)和最冷的四分之一的平均温度确定(21.8%),巨型丹参主要由最冷季度的平均温度(24.3%)确定。与其他淡水习惯相比,在湖泊和池塘中发现这三种物种的频率明显更高。在人工湿地栖息地中发现沙丁鱼的频率更高。为了减少这些物种的有害影响,美国东北部的土地管理人员应将早期发现和快速响应管理集中在湖泊,池塘和人工湿地生境中。

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