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Local and landscape scale drivers of Euschistus servus and Lygus lineolaris in North Carolina small grain agroecosystems
Agricultural and Forest Entomology ( IF 1.6 ) Pub Date : 2021-04-30 , DOI: 10.1111/afe.12445
James K. Goethe 1 , Seth J. Dorman 1 , Anders S. Huseth 1
Affiliation  

  1. Crop production sequences influence arthropod populations in temporally unstable row crop systems. Winter wheat (Triticum aestivum L.) represents one of the earliest abundant crops in south-eastern United States. This study aims to understand primary source habitats driving brown stink bug, Euschistus servus (Say), and tarnished plant bug, Lygus lineolaris (Palisot de Beauvois), population abundance in wheat.
  2. To better understand these relationships, adult and nymphal densities were in wheat fields weekly from flowering through harvest in 2019 and 2020. Geospatial data were used to measure landscape composition surrounding sampled fields. We investigated the influence of landscape predictors on E. servus and L. lineolaris abundance using generalized linear mixed modelling.
  3. Field size, proportion of agriculture, proportion of wheat area, and proportion of soybean Glycine max L.) area from the previous year in the surrounding landscape were associated with E. servus abundance in wheat. Similarly, L. lineolaris abundance was associated with proportion of wheat area and soybean area from the previous year.
  4. These results reveal the influence of soybean area planted the previous year on insect pest densities the following spring in wheat. Further, results suggest agricultural landscapes dominated by wheat are associated with decreased pest abundance across the sampled region.


中文翻译:

北卡罗来纳州小谷物农业生态系统中 Euschistus servus 和 Lygus lineolaris 的本地和景观规模驱动因素

  1. 作物生产顺序影响时间不稳定的行作物系统中的节肢动物种群。冬小麦 ( Triticum aestivum L.) 是美国东南部最早丰富的作物之一。本研究旨在了解驱动褐臭虫、Euschistus servus (Say) 和失去光泽的植物臭虫Lygus lineolaris (Palisot de Beauvois) 的主要来源栖息地,以及小麦中的种群丰度。
  2. 为了更好地理解这些关系,从 2019 年和 2020 年开花到收获的小麦田中,成虫和若虫的密度每周都会出现。地理空间数据用于测量采样田周围的景观组成。我们调查了景观预测因子​​对E的影响。servusL。使用广义线性混合建模的lineolaris丰度。
  3. 周围景观中前一年的田地大小、农业比例、小麦面积比例和大豆Glycine max L.) 面积比例与E相关。小麦的丰度。类似地,Llineolaris丰度与上一年小麦面积和大豆面积的比例有关。
  4. 这些结果揭示了前一年种植的大豆面积对来年春季小麦害虫密度的影响。此外,结果表明,以小麦为主的农业景观与整个采样区域的害虫数量减少有关。
更新日期:2021-04-30
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