Data for: Landscape and climatic factors driving spatiotemporal abundance of <i>Lygus lineolaris</i> (Hemiptera: Miridae) in cotton agroecosystems

Raw data for Lygus bugs sampled in 56 Virginia (U.S.A.) cotton fields over nine-weeks in 2017 and 2018 using two sampling techniques: sweep net and drop cloth sampling. The number of adults and nymphs were recorded per field per sampling week. Four data points were recorded for each sampling technique per field visit. Plant measurements and injury assessments were recorded when applicable and were averaged from 10 to 20 plants per field including total nodes, nodes above white flower (NAWF), plant height, square retention and "dirty bloom." Landscape (NASS-Cropscape Data Layer) and climate data (Daymet) of interest within specified buffers (0.75, 1.5, 3.0 km) surrounding sampled fields were extracted using GIS software.本数据集包含2017至2018年间，历时9周对美国弗吉尼亚州56块棉田开展盲蝽（Lygus bugs）采样所获取的原始数据。采样采用扫网法与击落布采样法两种技术，每块棉田在每次采样周均记录成虫与若虫的种群数量；每次田间采样时，针对每种采样技术均采集4组数据。若条件允许，同步开展植株性状测量与虫害损伤评估，每块棉田选取10至20株植株进行指标平均测算，统计内容包括总节数、白花上方节数（nodes above white flower, NAWF）、株高、蕾铃留存率以及“污花”（dirty bloom）发生情况。借助地理信息系统（GIS）软件，提取采样田块周边指定缓冲范围（0.75、1.5、3.0千米）内的目标景观数据（NASS-Cropscape数据图层）与气候数据（Daymet数据集）。