DOI: 10.5061/dryad.kkwh70s9f
title: Northern bobwhite adult breeding season and nest survival Missouri 2014-2018

description: These data and code are associated with the publication in The Journal of
 Wildlife Management entitled "Northern Bobwhite breeding season and
 nest survival are greater on native grasslands." We evaluated the
 influence of vegetation cover type, woody vegetation structure and
 composition, and habitat management on nest survival and adult survival
 from May through September in southwest Missouri 2014-2018.
description: Survival observations were collected using radio-telemetry
 methods; we tracked radio-transmittered adults and monitored nests
 attended by marked adults through the breeding season. Vegetation and
 habitat management covariates surrounding locations of nest and adult
 survival observations were calculated from maps derived from field
 observations, management histories, LiDAR data, and aerial
 imagery.
description: We have provided a ReadMe.txt file defining columns in the
 dataset as well as programs, packages, and associated code used to
 estimate breeding season survival probabilities. Please contact authors or
 Missouri Department of Conservation for any additional data such as UTMs
 for each observation of survival and environmental rasters.
description: # Data and code contributing to northern bobwhite nest survival and adult
 breeding season survival analyses and results *** These data and code are
 associated with the publication in The Journal of Wildlife Management
 entitled "Northern Bobwhite breeding season and nest survival are
 greater on native grasslands." We evaluated the influence of
 vegetation cover type, woody vegetation structure and composition, and
 habitat management on nest survival and adult survival from May through
 September in southwest Missouri 2014-2018. Survival observations were
 collected using radio-telemetry methods; we tracked radio-transmittered
 adults and monitored nests attended by marked adults through the breeding
 season. Vegetation and habitat management covariates surrounding locations
 of nest and adult survival observations were calculated from maps derived
 from field observations, management histories, LiDAR data, and aerial
 imagery. We estimated survival using the logistic exposure method.
 Complete data and code are available here. ## Description of the data and
 file structure BirdS: Adult survival observations: [1] alive, [0]
 mortality nestsurv: Nest monitoring observations: [1] alive, [0] failed
 area[1]: Study site. Shawnee Trail area[2]: Study site. Shelton Memorial
 Prairie area[3]: Study site. Stony Point Prairie area[4]: Study site.
 Talbot Conservation Area area[5]: Study site. Wah'Kon-Tah Prairie
 birdid: unique bird id described by site-legband-wingtagsex: female = 1,
 male = 2 date: mm/dd/yyinterval: number of days since previous survival
 observationjulian: day of year ag: percent agricultural crop cover within
 100-m radiusagid: percent idle agricultural crop cover within 100-m
 radiuscg: percent cool season grass (tall fescue) cover within 100-m
 radiusmg: percent mixed cool season-warm season grass cover within 100-m
 radiusng: percent native grassland cover within 100-m radiusnggr: percent
 native grassland cover within 100-m radiusngid: percent native grassland
 cover within 100-m radiusngpb: percent native grassland cover within 100-m
 radiusngrpb: percent native grassland cover within 100-m radius shrub:
 percent shrub cover within 100-m radiustree: percent tree cover within
 100-m radiusswq\_d2tree: distance to nearest tree from nest/adult
 locationswq\_d2shrub: distance to nearest shrub from nest/adult location
 ## Sharing/Access information Please contact Missouri Department of
 Conservation Science Branch to request location (UTM) tabular data and
 spatial covariate data of vegetation composition and structure. ##
 Code/Software Bayesian analyses were conducted in R using program JAGS.
 Performance of candidate models were compared using the loo package.
 Predictions of survival responses across gradients of environmental
 conditions were derived in R using tidyverse and reshape2 packages.
 Required packages: tidyverse. Data processing and management reshape2.
 Data processing jagsUI. Bayesian analyses car. Evaluating
 multicollinearity among independent variables loo. Model selection based
 on LOOIC Full code are available https://doi.org/10.5281/zenodo.8284387.