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首页> 外文期刊>Biological Invasions >Applying a spread model to identify the entry points from which the pine wood nematode, the vector of pine wilt disease, would spread most rapidly across Europe
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Applying a spread model to identify the entry points from which the pine wood nematode, the vector of pine wilt disease, would spread most rapidly across Europe

机译:应用传播模型确定松木线虫(松树枯萎病的媒介)在整个欧洲传播最快的切入点

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Pine wilt disease, which can rapidly kill pines, is caused by the pine wood nematode, Bursaphelenchus xylophilus. It is expanding its range in many countries in Asia and measures are being taken at the EU level to prevent its spread from Portugal. Due to the threat to European forests, it is important to prevent additional introductions and target surveillance to the points of entry that pose the greatest risk. In this study, we present a model to identify the European ports from which the nematode can spread most rapidly across Europe. This model describes: (1) the potential spread of the pine wood nematode based on short-distance spread (the active flight of the vector beetles) and long-distance spread (primarily due to human-mediated transportation), and (2) the development of pine wilt disease based on climate suitability and the potential spread of the nematode. Separate introductions at 200 European ports were simulated under various climate change scenarios. We found that the pine wood nematode could invade 19–60% of the study area (30°00 N–72°00 N, 25°00 W–40°00 E) by 2030, with the highest spread from ports located in Eastern and Northern Europe. Based on climate change scenarios, the disease could affect 8–34% of the study area by 2030, with the highest spread from ports located in South-Eastern Europe. This study illustrates how a spread model can be used to determine the critical points of entry for invasive species, so that surveillance can be targeted more accurately and control measures prioritised.
机译:松木线虫Bursaphelenchus xylophilus引起的松枯病可以迅速杀死松树。它正在亚洲许多国家扩大其范围,并正在欧盟一级采取措施以防止其从葡萄牙扩散。由于对欧洲森林的威胁,重要的是要防止额外的引入,并且要对构成最大风险的入口点进行监视。在这项研究中,我们提出了一个模型来识别线虫可以在欧洲分布最快的欧洲港口。该模型描述:(1)基于短距离传播(矢量甲虫的主动飞行)和长距离传播(主要是由于人类介导的运输)的松木线虫的潜在传播,以及(2)气候适应性和线虫潜在传播的基础上开发松树枯萎病。在各种气候变化情景下,对200个欧洲港口的单独进口进行了模拟。我们发现,到2030年,松木线虫可能会侵入研究区域的19-60%(30°00 N-72°00 N,25°00 W-40-4000 E),其中东部地区的港口传播最大和北欧。根据气候变化情况,到2030年,该病可能影响研究区域的8–34%,其中东南欧港口的传播范围最大。这项研究说明了如何使用传播模型来确定入侵物种的关键进入点,以便可以更准确地确定监视目标并确定控制措施的优先次序。

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