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Multiscale analyses on a massive immigration process of Sogatella furcifera (Horváth) in south-central China: influences of synoptic-scale meteorological conditions and topography.
Wu, Qiu-Lin; Westbrook, John K; Hu, Gao; Lu, Ming-Hong; Liu, Wan-Cai; Sword, Gregory A; Zhai, Bao-Ping.
Afiliação
  • Wu QL; Department of Entomology, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.
  • Westbrook JK; Department of Entomology, Texas A&M University, College Station, TX, 77843-2475, USA.
  • Hu G; Insect Control and Cotton Disease Research Unit, US Department of Agriculture, Agricultural Research Service, College Station, TX, 77845, USA.
  • Lu MH; Department of Entomology, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.
  • Liu WC; Department of Agroecology, Rothamsted Research, Harpenden, UK.
  • Sword GA; Division of Pest Forecasting, China National Agro-Tec Extension and Service Center, Beijing, 100125, People's Republic of China.
  • Zhai BP; Division of Pest Forecasting, China National Agro-Tec Extension and Service Center, Beijing, 100125, People's Republic of China.
Int J Biometeorol ; 62(8): 1389-1406, 2018 Aug.
Article em En | MEDLINE | ID: mdl-29713863
ABSTRACT
Mass landings of migrating white-backed planthopper, Sogatella furcifera (Horváth), can lead to severe outbreaks that cause heavy losses for rice production in East Asia. South-central China is the main infestation area on the annual migration loop of S. furcifera between the northern Indo-China Peninsula and mainland China; however, rice planthopper species are not able to survive in this region over winter. In this study, a trajectory analysis of movements from population source areas and a spatiotemporal dynamic analysis of mesoscale and synoptic weather conditions from 7 to 10 May 2012 were conducted using the weather research and forecasting (WRF) model to identify source areas of immigrants and determine how weather and topographic terrain influence insect landing. A sensitivity experiment was conducted with reduced topography using the WRF model to explain the associations among rainfall, topography, and light-trap catches of S. furcifera. The trajectory modeling results suggest that the source areas of S. furcifera immigrants into south-central China from 8 to 10 May were mainly southern Guangxi, northern Vietnam, and north-central Vietnam. The appearance of enormous catches of immigrant S. furcifera coincided with a period of rainstorms. The formation of transporting southerly winds was strongly associated with the topographic terrain. Additionally, the rainfall distribution and intensity over south-central China significantly decreased when topography was reduced in the model and were directly affected by wind circulation, which was associated with mountainous terrain that caused strong convection. This study indicates that migrating populations of S. furcifera were carried by the southwesterly low-level jets and that topographically induced convergent winds, precipitation, low temperatures, and wind shear acted as key factors that led to massive landings.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Distribuição Animal / Hemípteros Tipo de estudo: Prognostic_studies Limite: Animals País/Região como assunto: Asia Idioma: En Revista: Int J Biometeorol Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Distribuição Animal / Hemípteros Tipo de estudo: Prognostic_studies Limite: Animals País/Região como assunto: Asia Idioma: En Revista: Int J Biometeorol Ano de publicação: 2018 Tipo de documento: Article