Environmental Data: Bats in beaver systems

Description

This dataset contains processed bat acoustic data collected to evaluate the ecological impacts of beaver-engineered ponds on bat species richness, activity...

Citation

Moser, V., Capitani, L., Zehnder, L., Hürbin, A., Obrist, M. K., Ecker, K., Boch, S., Minnig, S., Angst, C., Pomati, F., Risch, A. C. (2025). Bats in beaver systems. EnviDat. https://www.doi.org/10.16904/envidat.659.

Resources

• README.txt

  README text file providing context for the data. Please do not hesitate to contact us if you have any questions

  README.txt

• sampling dates.xlsx

  For the time information about the research data, created (2022-09-23 to 2022-09-23) refers to the GIS data, collected (2022-06-13 to 2022-07-31) to the field sampling. Details can be found in the csv “sampling_dates”. sampling_dates with columns "site" (sampling site), "bats_1" (first period of bat survey in June), "bats_2" (second period of bat survey in June), "bats_3" (first period of bat survey in July), "bats_4" (second period of bat survey in July), "flying_arthropods_1" (arthropod sampling in June), "flying_arthropods_2" (arthropod sampling in July), "deadwood survey" (date of deadwood survey), "vegetation survey" (date of vegetation survey)

  sampling dates.xlsx

• vegetation_characteristics.csv

  vegetation_characteristics data on vegetation_cover and cumulative_cover with columns "laufnummer" (unique identifier per sampling point), "site" (sampling site), "sample" (sampling location within site), "Vegetation_cover" (estimated vegetation cover over 5x1 m plot in %), "Cumulative cover" (summed up cover over tree, shrub and herb layer in %), "Cumulative cover trees" (tree cover level, higher than 3 metres in %),

  vegetation_characteristics.csv

• gewichtungsfaktor.csv

  gewichtungsfaktor with columns "Project" (sampling site), "Treatment" (sampling location within site, with levels ctrl for Control and pool for Pool), "date" (sampling date), "gew" (weighting factor to standardize night length)

  gewichtungsfaktor.csv

• dead_wood.csv

  dead_wood for deadwood with columns "laufnummer" (unique identifier per sampling point), "site" (sampling site), "sample" (sampling location within site), "type" (deadwood type), "height_length" (the height or lenghth of a piece of deadwood in m), "DBH_diamlarge" (diameter at breast height or diameter of larger end if lying in m), "diamsmall (diameter of smaller end if lying in m", "volume" (calculated volume in m3)

  dead_wood.csv

• bats_biodiv.day.guilds.csv

  bats_biodiv.day.guilds with columns "laufnummer" (unique identifier per sampling point), "site" (sampling site), "sample" (sampling location within site), "community" (species group), "date" (sampling date), "month" (sampling month), "guild" (which feeding guild information), "feeding" (number of feeding buzzes summed per 5 minutes and identification level), "abundance" (sequences per 5 minutes and identification level), "richness" (species richness), "richness_feeding" (species richness of feeding bats)

  bats_biodiv.day.guilds.csv

• bats_biodiv.day.csv

  bats_biodiv.day with columns "laufnummer" (unique identifier per sampling point), "site" (sampling site), "sample" (sampling location within site), "community" (species group), "date" (sampling date), "month" (sampling month), "feeding" (number of feeding buzzes summed per 5 minutes and identification level), "abundance" (sequences per 5 minutes and identification level), "richness" (species richness), "richness_feeding" (species richness of feeding bats)

  bats_biodiv.day.csv

• bats.environment.xlsx

  bats.environment with columns "laufnummer" (unique identifier per sampling point), "site" (sampling site), "sample" (sampling location within site), "canopy" (modelled tree canopy cover, averaged across radius of 100 m, unitless), "structure_ruggedness" (mean ruggedness of the total vertical structure > 3 m, averaged across radius of 100 m, unitless), "vegetation_ruggedness" (mean ruggedness of the canopy > 3 m, later called canopy_heterogenneity, averaged across radius of 100 m, unitless), "pool_size" (maximum width of beaver pool in m), "area_deadwood_monitoring" (total area of deadwood moonitoring in m3), "age" (beaver presence in years)

  bats.environment.xlsx

• bat_guilds.CSV

  bat_guilds with columns "SP" (identification level), "EndGuilde" (information on feeding guild)

  bat_guilds.CSV

• arthropods_flying.csv

  arthropods_flying the arthropod abundance with columns "laufnummer" (unique identifier per sampling point), "site" (sampling site), "sample" (sampling location within site), "community" (species group), "month" (sampling month), "abundance" (number of flying arthropods)

  arthropods_flying.csv

• site_info.csv

  site_info contains columns "laufnummer" (unique identifier per sampling point), "site" (sampling site), "sample" (sampling location within site), "location" (sampling location row within site), "sample_nr" (sampling number within location)

  site_info.csv

• data_bats.xlsx

  Raw data data_bats with columns: “Categories” (empty or "feeding", indicating that call sequence contains feeding buzz) “Sequence” (sequence number) “Timestamp” (recording time) “Temperature” (temperature recorded by batlogger in degree celcius) “Serial” (serial number of bat logger) “Duration” (duration of call sequence in seconds) “Call.Count” (call count number, how many calls could be detected) “Verification.1” (bat sequence verification) “Notes” (remarks for identification) “treatment” (treatment ctrl = Control and Pool) “slot” (slot number, 4 slots, two in June, two in July) “Laufnummer” (unique identifier per sampling point)

  data_bats.xlsx

• bats_age.R

  R script bats_age to test the beaver pool age effect on bat richness, activity and feeding activity

  bats_age.R

• bats_data_cleaning.R

  R script bats_data_cleaning to clean the raw data

  bats_data_cleaning.R

• bats_data_exploration_Figure_nighly.R

  R script bats_data_exploration_Figure_nighly to explore the data and display nightly species richness, activity and feeding activity

  bats_data_exploration_Figure_nighly.R

• bats_glmm.R

  R script bats_glmm to test the influence of beavers on bat richness, activity and feeding activity

  bats_glmm.R

• bats_pool_size.R

  R script bats_pool_size to test the beaver pool size on bat richness, activity and feeding activity

  bats_pool_size.R

• bats_raw_values_overview.R

  bats_raw_values_overview to produce raw value summaries and tables

  bats_raw_values_overview.R

• bats_SEM.R

  R script bats_SEM to test the influence of the beaver on bat richness, activity and feeding activity through feeding and habitat heterogeneity

  bats_SEM.R