Hu Shao-Ji, Sun Shan-Shan, Fu Da-Ying, Lü Jian-Ping, Wang Xue-Ying, Yu Yan-Ping, Dong Li-Min, Chen Sui-Yun, Ye Hui
Yunnan Key Laboratory of International Rivers and Transboundary Eco-security Yunnan University Kunming China.
Institute of International Rivers and Eco-security Yunnan University Kunming China.
Ecol Evol. 2020 Jul 17;10(15):8235-8250. doi: 10.1002/ece3.6531. eCollection 2020 Aug.
The migration sources and pathways of (Horváth) in topologically complex regions like Yunnan, China, and adjacent montane areas have long been a challenging task and a bottleneck in effective pest forecast and control. The present research reinvestigated this issue using a combination of mtDNA and long-term historical wind field data in an attempt to provide new insights. Genetic analyses showed that the 60 populations of collected across Myanmar, Thailand, Laos, Vietnam, Yunnan, Guizhou, and Sichuan lack genetic structure and geographic isolation, while spatial analysis of haplotype and diversity indices discovered geographic relevance between populations. Migration rate analysis combined with high-resolution 10-year wind field analysis detected the following migration sources, pathways, and impacted areas which could explain the outbreak pattern in Yunnan. (a) Dominating stepwise northward migrations originated from northern Indochina, southern Yunnan, and central-eastern Yunnan, impacting their northern areas. (b) Concurring summer-autumn southward (return) migration originated from nearly all latitude belts of Sichuan and Yunnan mainly impacting central and southern Yunnan. (c) Regular eastward and summer-autumn westward migrations across Yunnan. The northward migration reflects the temporal rhythm of gradual outbreaks from the south to the north in a year, while the return migration may explain the repeated or very severe outbreaks in the impacted areas. To form a better pest forecast and control network, attention must also be paid to the northern part of Yunnan to suppress the impact of return migration in summers and autumns.
在中国云南等地形复杂地区以及相邻山区,(某种害虫,此处未明确写出害虫名称,用括号表示)的迁飞来源和路径长期以来一直是一项具有挑战性的任务,也是有效害虫预测和防治的瓶颈。本研究结合线粒体DNA和长期历史风场数据,对这一问题进行了重新调查,以期提供新的见解。遗传分析表明,在缅甸、泰国、老挝、越南、云南、贵州和四川采集的60个(害虫)种群缺乏遗传结构和地理隔离,而单倍型和多样性指数的空间分析发现了种群之间的地理相关性。迁移率分析结合高分辨率的十年风场分析,检测到了以下迁移来源、路径和受影响区域,这些可以解释云南的暴发模式。(a)主要的逐步向北迁移起源于印度支那北部、云南南部和云南中东部,影响其北部地区。(b)同时发生的夏秋向南(回迁)迁移起源于四川和云南几乎所有纬度带,主要影响云南中部和南部。(c)有规律的向东和夏秋向西穿越云南的迁移。向北迁移反映了一年中从南到北逐渐暴发的时间节奏,而回迁可能解释了受影响地区的反复或非常严重的暴发。为了形成更好的害虫预测和防治网络,还必须关注云南北部,以抑制夏秋回迁的影响。