首页> 外文期刊>International Journal of Biometeorology: Journal of the International Society of Biometeorology >Phenological patterns of Spodoptera Guen,e, 1852 (Lepidoptera: Noctuidae) is more affected by ENSO than seasonal factors and host plant availability in a Brazilian Savanna
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Phenological patterns of Spodoptera Guen,e, 1852 (Lepidoptera: Noctuidae) is more affected by ENSO than seasonal factors and host plant availability in a Brazilian Savanna

机译:Spodoptera Guen,E,1852(Lepidoptera:Noctuidae)的酚类模式更受恩斯索的影响,而不是在巴西大草原中的季节性因素和寄宿机植物可用性

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摘要

The identification of factors responsible for the population dynamics is fundamental for pest management, since losses can reach 18% of annual production. Besides regular seasonal environmental factors and crop managements, additional supra-annual meteorological phenomena can also affect population dynamics, although its relevance has been rarely investigated. Among crop pests, Spodoptera stands out due to its worldwide distribution, high degree of polyphagy, thus causing damages in several crops in the world. Aiming to distinguish the relevance of different factors shaping population dynamics of Spodoptera in an ecosystem constituted of dry and rainy seasons, the current study used circular statistics to identify phenological patterns and test if its population fluctuation is driven by El Nio-Southern Oscillation (ENSO) effect, seasonal meteorological parameters, and/or host plant availability. Samplings were done in an intercropping system, in the Brazilian Savanna, during the new moon cycles between July/2013 and June/2016. Species were recorded all year round, but demonstrated differently non-uniform distribution, being concentrated in different seasons of the year. Population fluctuations were mostly affected by the ENSO intensity, despite the contrasting seasonal meteorological variation or host plant availability in a 400-m radius. Studies involving the observation of supra-annual phenomena, although rare, reach similar conclusions in relation to Neotropical insect fauna. Therefore, it is paramount to have long-term sampling studies to obtain a more precise response of the pest populations towards the agroecosystem conditions.
机译:识别负责人口动态的因素是害虫管理的基础,因为损失可达到年度产量的18%。除了定期季节性环境因素和作物管理外,还有额外的次年气象现象也会影响人口动态,尽管其相关性很少被调查。在农作物害虫中,由于其全球分布,高度多程度,Spodoptera脱颖而出,从而导致世界几种作物造成损害。旨在区分不同因素的相关因素在干旱雨季构成的生态系统中塑造植物植物的种群动态,目前的研究使用循环统计来识别诸如欧洲南方振荡(ENSO)的人口波动等鉴别鉴别模式和测试效果,季节气象参数和/或寄主植物可用性。在2013年7月/ 2016年6月/ 2016年6月/ 2016年6月/ 2016年期间,在巴西大草原的间作系统中进行了采样。物种全年记录,但展示了不同的不均匀分布,集中在今年的不同季节。尽管季节性气象变异或宿主植物可用性在400米半径中,但人口波动主要受到恩索强度的影响。涉及观察同上的现象,虽然罕见,但罕见的与新昆虫动物群相似的结论。因此,具有长期采样研究至关重要的是,以获得对农业生物系统条件的更精确的害虫响应。

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