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年与2018年期间，针对美国弗吉尼亚州56块棉田开展为期9周采样所获得的原始数据，采样采用扫网采样法（sweep net sampling）与布盘击落采样法（drop cloth sampling）两种技术。每次采样周内，记录每块棉田中的盲蝽（Lygus bugs）成虫与若虫数量；每次田间调查时，针对每种采样技术均记录四个数据点。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，测量内容包括主茎总节数、白花节位以上主茎节数（NAWF, nodes above white flower）、株高、保蕾率以及污花"dirty bloom"。利用地理信息系统（GIS）软件，提取采样田块周边指定缓冲区（0.75、1.5、3.0千米）内的目标景观数据（NASS-Cropscape Data Layer）与气候数据（Daymet）。