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.