This CRATES_ET_AL_2022__DATA_README.txt file was generated on 2022-07-11 by Ross Crates GENERAL INFORMATION 1. Title of Dataset: Mistletoes could moderate drought impacts on birds, but are themselves susceptible to drough-induced dieback 2. Author Information Corresponding Investigator Name: Dr Ross Crates Institution: Fenner School of Environment and Society, Australian National University, Canberra, Australia Email: ross.crates@anu.edu.au 3. Date of data collection: 2016-2021 4. Geographic location of data collection: South-eastern Australia including Victoria, New South Wales, Queensland and the Australian Capital Territory 5. Funding sources that supported the collection of the data are acknowledged in the article PDF. 6. Recommended citation for this dataset: Crates, R. et al. 2022. Mistletoes could moderate drought impacts on birds, but are themselves susceptible to drough-induced dieback, Dryad, Dataset. https://doi.org/10.5061/dryad.76hdr7sxp. DATA & FILE OVERVIEW 1. Description of dataset These data were generated to assess the drivers of mistletoe abundance and mistletoe mortality, as well as the effect of mistletoe abundance on woodland bird abundance before, during and after drought. 2. File List: File 1 Name: Bird_data.csv File 1 Description: Bird survey data at the site-level. Each row corresponds to a single visit to each site. File 2 Name: Bird_sites.csv File 2 Description: Spatial location of bird monitoring sites in WGS84 declimal lat/long. Used to produce figure 1c (red points). File 3 Name: Climate_summary.csv File 3 Description: Bureau of Meteorology annual rainfall and annual mean monthly maximum summer temperatures from weather stations spanning the spatial extent of the bird monitoring sites. Used to produce figures 1a and 1b, with location of weather stations shown in figure 1c. File 4 Name: Habitat_data.csv File 4 Description: Habitat assessment, mistletoe and ANUCLIM climate data used to answer question 1: what are the predictors of live mistletoe abundance and the drivers of mistletoe mortality? Each row corresponds to one overall visit to assess habitat variables at each of the bird and habitat sites. File 5 Name: Habitat_data_1.csv File 5 Description: Same as habitat data but restricted to bird monitoring sites only (including noisy miner abundance and mistletoebird presence/absence). File 6 Name: Habitat_sites.csv File 6: Description: Spatial location of bird monitoring sites in WGS84 declimal lat/long. Used to produce figure 1c (blue points). File 7 Name: Tree_associations.csv File 7 Description: Supplementary dataset of the proporional contribution of all tree species to total canopy cover at each monitoring site, as well as species-level mistletoe counts. OVERALL DATA-SPECIFIC INFORMATION The datasets provided should allow the accompanying R-script to run in full, assuming all relevant packages and dependencies have been installed. DATA-SPECIFIC INFORMATION FOR: Bird_data.csv 1. Number of variables: 213 2. Number of cases/rows: 9012 3. Variable List: Location: local region of monitoring site Site ID: Site code for each site Lat: WGS84 decimal latitude Long: WGS84 decimal longitude Region: Regional (factorial) cluster of sites. Included as random term in bird and misteltoe models Date: Date of survey Season: Breeding season August to Jan. Year refers to the relevant spring period. Start time: Start time of survey Hour: Hour of survey Hours_since_dawndusk: Hours since dawn or hours to dusk Observer: Initals of bird observer Overall_blossom: Overall factorial blossom score from 0-5 for each site visit Blossom_source_1: Dominant flowering species Euc_blossom: Overall blossom score for eucalyptus blossom Blossom_source_2: Secondary blossom source (if present) Mistletoe blossom: Overall blossom score for mistletoe blossom BURNT?: Whether or not the study site was fire-affected during the study period Rows R to FH: Individual species counts during each site visit Rows FI to GF: Various abundance metrics for species based on feeding guild, body site, residency status etc. Veg_observer: Person who undertook habitat assessment. Veg1: PC1 of the tree species composition principle component analysis. Veg2: PC2 of the tree species composition principle component analysis. canopy_cover: Estimated % canopy cover to the nearest 5% large_old_tree total: number of trees within each site with DBH exceeding 80cm mild_healthy_trees: Proportion of all trees present that are either healthy or only mildly stressed. mature_old_growth_ppn: Proportional contribution of mature or old growth trees to total canopy cover. live_mistletoe_present: Binary score of whether live mistletoe clumps (any species) are present or absent at the site. 1 = present, 0 = absent. live_box_mistletoe_clumps: Count of the number of live box mistletoe clumps. live_needle_leaf_mistletoe_clumps: Count of the number of live needle-leaf mistletoe clumps. live_long_flowered_mistletoe_clumps: Count of the number of live long-flowered mistletoe clumps. total_live_mistletoe: Count of the number of live mistletoe clumps across all three mistletoe species. dead_mistletoe_present: Binary score of whether dead mistletoe clumps (any species) are present or absent at the site. 1 = present, 0 = absent. dead_box_mistletoe_clumps: Count of the number of dead box mistletoe clumps. dead_needle_leaf_mistletoe_clumps: Count of the number of dead needle-leaf mistletoe clumps. dead_long_flowered_mistletoe_clumps: Count of the number of dead long-flowered mistletoe clumps. total_dead_mistletoe: Count of the number of dead mistletoe clumps across all three mistletoe species. ppn_dead_mistletoe: Proportion of dead mistletoe (total_dead mistletoe / (total_dead_mistletoe + total_live_mistletoe)) land_use: Dominant land use (factor) described in table 1. woody_debris: Factorial score of the abundance of coarse woody scale from 0 = absent to 3 = abundant. water_present: whether permanent or semi-permanent water source present within the survey site water_distance: factorial distance to permanent or semi-permanent water source as described in table 1. rain_6: rainfall (mm) in the preceding 6 month period. 4. Missing data codes: None 5. Abbreviations used: N/A; not applicable 6. Other relevant information: ...................................................................... DATA-SPECIFIC INFORMATION FOR: Bird_sites.csv 1. Number of variables: 3 2. Number of cases/rows: 1218 3. Variable List: longitude: WGS84 decimal latitude of monitoring site latitude: WGS84 decimal latitude of monitoring site site ID: site code 4. Missing data codes: None 5. Abbreviations used: None 6. Other relevant information: Locations have been offset given breeding locations of critically endangered species are included. ........................................................ DATA-SPECIFIC INFORMATION FOR: Climate_summary.csv 1. Number of variables: 4 2. Number of cases/rows: 30 3. Variable List: Location: Location of Bureau of Meterorology weather station (see Figure 1c). Year: Breeding season. Year represents year of the spring the breeding season commenced in Rainfall: Total annual rainfall in millimetres Temperature: Mean monthly maximum temperature in decrees centigrade. 4. Missing data codes: None 5. Abbreviations used: None 6. Other relevant information: None ....................................................................... DATA-SPECIFIC INFORMATION FOR: Habitat_data.csv 1. Number of variables: 55 2. Number of cases/rows: 2111 3. Variable List: N/B only variables not included in 'Bird_data.csv' are described below: NRHMP site?: Whether the site is included in bird data. 1 = yes, 0 = no. nat_regen: Factorial count of the number of saplings present within the site. nat_regen_fac: As above recoded into integers 0 - 4. dead_tree_: Proportion of canopy-contributing trees that are dead. (see figure s10). dying_tree_: Proportion of canopy-contributing trees that are dying. stressed_tree_: Proportion of canopy-contributing trees that are stressed. mildly_stressed_tree_: Proportion of canopy-contributing trees that are mildly stressed. healthy_tree_: Proportion of canopy-contributing trees that are healthy. young_tree_: Proportion of trees present that are young. immature_tree_: Proportion of trees present that are immature. mature_tree_: Proportion of trees present that are mature. old_growth_tree_: Proportion of trees present that are old growth. shrub_cover: Proportional cover of the site by shrubs (see figure S9). shrub_species: Dominant shrub species/family present. mistletoebird_presence: Whether or not mistletoebirds were detected at the site during bird surveys. 1 = present, 0 = not-detected. noisy_miner_abundance: Mean abundance of noisy miners detected across repeat bird surveys at each site. temp_summer_17: Mean monthly maximum summer temperature (degrees celcius) Nov-Feb 2017/18, derived from ANUCLIM dataset. temp_summer_18: Mean monthly maximum summer temperature (degrees celcius) Nov-Feb 2018/19, derived from ANUCLIM dataset. temp_summer_19: Mean monthly maximum summer temperature (degrees celcius) Nov-Feb 2019/20, derived from ANUCLIM dataset. rain_summer_17: Mean maximum summer rainfall (mm) Nov-Feb 2017/18, derived from ANUCLIM dataset. rain_summer_18: Mean maximum summer rainfall (mm) Nov-Feb 2018/19, derived from ANUCLIM dataset. rain_summer_19: Mean maximum summer rainfall (mm) Nov-Feb 2019/20, derived from ANUCLIM dataset. 4. Missing data codes: None 5. Abbreviations used: N/A = not applicable 6. Other relevant information: None ..................................................... DATA-SPECIFIC INFORMATION FOR: Habitat_data_1.csv 1. Number of variables: 55 2. Number of cases/rows: 2111 3. Variable List: As for 'Habitat_data.csv' 4. Missing data codes: None 5. Abbreviations used: None 6. Other relevant information: None ................................................ DATA-SPECIFIC INFORMATION FOR: Habitat_sites.csv 1. Number of variables: 3 2. Number of cases/rows: 893 3. Variable List: As for 'Bird_sites.csv' 4. Missing data codes: None 5. Abbreviations used: None 6. Other relevant information: None ............................................ DATA-SPECIFIC INFORMATION FOR: Tree_associations.csv 1. Number of variables: 31 2. Number of cases/rows: 2111 3. Variable List: NB only variables not described above are described below: Rows D to Z: proportional contribution of each tree species to total canopy cover within the site (to nearest 5%). 4. Missing data codes: None 5. Abbreviations used: None 6. Other relevant information: None ............................................... Please contact the corresponding author if there are any issues running the script or understanding the variables described in the datasets.