Inter-row flowering strips enhance pest suppression and improve tree physiological performance in pine nurseries

Arthropod abundances for analyses: This dataset contains abundance metrics (Abundance) of different trophic groups (Trophic group) of arthropod invertebrates (predators, herbivores, omnivores). It also includes taxonomic information (Taxonomy), species/type identification (Species/type), locality number (Locality), tree number (Tree.number; for arthropods collected by beating from tree canopies), and inter-row management type (Management). For herbivores, additional information is provided on feeding strategy (Feeding mode guild) and host specialization (Host-association guild).The dataset consists of two separate sheets: one containing arthropods collected by beating and the other containing arthropods collected by sweeping. Vitality indicators for analyses.xlsx: This dataset contains selected tree vitality indicator metrics, specifically relative chlorophyll content (SPAD index), linear electron flow (LEF), non-photochemical quenching equivalent (NPQt), and the amount of photosynthetically active radiation (PAR). For each measurement, the dataset also includes tree number, row (Locality), inter-row management type (Management), and month of measurement. The second sheet contains data on dry needle biomass (Biomass, g) and damage (%) for individual trees (Tree.number), including information on row (Locality) and inter-row management type (Management). Arthropod abundances analyses.R: This R script was used for model fitting and plotting. For each invertebrate group (spiders, insect predators, all herbivores, sap-suckers, chewers, and omnivores), we fitted a model testing the relationship between the abundance of the respective invertebrate group and inter-row management type. Models were fitted separately for tree canopies and for inter-rows. The script reports the best-fitting model for each case, selected based on AIC comparison. Vitality analyses.R: This R script was used for model fitting and plotting of selected vitality indicators of pine trees. For SPAD, needle biomass, and needle damage, we fitted models testing the relationship between the respective indicator and inter-row management type. For LEF and NPQt, we tested how the relationship between the vitality indicator and the amount of photosynthetically active radiation (PAR) was influenced by inter-row management type. The script reports the best-fitting models, selected based on AIC comparison.用于分析的节肢动物丰度数据： 本数据集收录节肢动物无脊椎动物不同营养类群（Trophic group）的丰度指标（Abundance），涵盖捕食者、植食者与杂食者三大类群。数据集同时包含分类学信息（Taxonomy）、物种/类群鉴定信息（Species/type）、样地编号（Locality）、树木编号（Tree.number；适用于通过树冠拍击法采集的节肢动物）以及行间管理类型（Management）。针对植食者类群，额外提供了取食策略类群（Feeding mode guild）与寄主专化类群（Host-association guild）相关信息。本数据集包含两个独立工作表：其一收录通过拍击法采集的节肢动物数据，其二收录通过网扫法采集的节肢动物数据。 用于分析的树木活力指标数据集.xlsx： 本数据集包含筛选后的树木活力指标数据，具体包括相对叶绿素含量（SPAD指数）、线性电子流（LEF）、非光化学淬灭当量（NPQt）以及光合有效辐射（PAR）总量。每条测量记录同时包含树木编号、样地行号（Locality）、行间管理类型（Management）与测量月份信息。第二个工作表收录了单棵树木（Tree.number）的针叶干生物量（Biomass，单位：g）与受害率（%）数据，同时包含样地行号（Locality）与行间管理类型（Management）信息。 节肢动物丰度分析脚本.Arthropod abundances analyses.R： 本R脚本用于模型拟合与可视化绘图。针对各类无脊椎动物类群（蜘蛛、昆虫捕食者、全部植食者、刺吸式口器昆虫、咀嚼式口器昆虫以及杂食者），我们构建了模型以检验对应类群丰度与行间管理类型之间的关联。模型分别针对树冠层与行间生境独立拟合。脚本将输出基于赤池信息准则（AIC）比较筛选得到的各场景下最优拟合模型。 树木活力分析脚本.Vitality analyses.R： 本R脚本用于松树筛选后活力指标的模型拟合与可视化绘图。针对SPAD指数、针叶生物量与针叶受害率，我们构建了模型以检验对应指标与行间管理类型之间的关联。针对LEF与NPQt，我们检验了行间管理类型对活力指标与光合有效辐射（PAR）总量之间关联的调控作用。脚本将输出基于赤池信息准则（AIC）比较筛选得到的最优拟合模型。