Impacts of umbrella species management on non-target species

# Impacts of umbrella species management on non-target species [https://doi.org/10.5061/dryad.zgmsbcckx](https://doi.org/10.5061/dryad.zgmsbcckx) This dataset consists of species abundances as collected by territory mapping surveys and nest data. Data used to calculate species density, number of offspring produced, and daily nest success between treatments are included. ## Description of the data and file structure The data are set up in CSV format for easy import into R. All data analysis was conducted in R (version 4.3.0) and important packages included nlme and lme4 for modeling and ggplot for plotting. Territory data includes the year, species (SPP, common names associated with four-letter codes can be found in Table 1), plot, treatment, number of territories in the plot, and plot area in hectares. Nest data includes a row for each nest found and consists of the year, nest ID (NID), species (SPP, common names associated with four-letter codes can be found in Table 1), plot, treatment, clutch size, number of eggs hatched, number of offspring fledged, accuracy of fledgling number (Fledged_Exact; 1 indicates exact number known), comments, days the nest was active and observed (Total_Days), and nest fate (0: failed, 1: at least one nestling fledged). R code used to run logistic-exposure analysis can be found at [https://rpubs.com/bbolker/logregexp](https://rpubs.com/bbolker/logregexp)