Bee pollination services and the burden of biogeography dataset
  • Description

    Observations of insect visitation to apple cultivars (Pink Lady, Granny Smith), flower phenology and associated meteorological data (temperature, wind speed, cloud cover) collected at orchards in the Blue Mountains and Central West regions of NSW September-October 2017, 2018, 2019. The spreadsheet entitled ‘Animal_Visitation_Survey_Tierney_RSPB_2023.dat’ contains data on insect visitation to cultivated apple (cv. Pink Lady, cv. Granny Smith), with associated flower phenology and meteorology (temperature, wind speed, cloud cover). The spreadsheet entitled ‘Floral_Phenology_Survey_Tierney_RSPB_2023.dat’ contains data on the number of flower clusters, open flowers for each branch, and the length of the branch in order to calculate the Bloom Index . Detailed information (column descriptions, etc) about these datasets is in the associated README files. These files contain all the data presented in the related manuscript and the ESM. The Authors are open to collaboration – please contact via email s.tierney@westernsydney.edu.au and ORCID 0000-0002-8812-6753 for any proposed downstream use of these data sets.
    • - Start
      Data publication title Bee pollination services and the burden of biogeography dataset
    • Description

      Observations of insect visitation to apple cultivars (Pink Lady, Granny Smith), flower phenology and associated meteorological data (temperature, wind speed, cloud cover) collected at orchards in the Blue Mountains and Central West regions of NSW September-October 2017, 2018, 2019. The spreadsheet entitled ‘Animal_Visitation_Survey_Tierney_RSPB_2023.dat’ contains data on insect visitation to cultivated apple (cv. Pink Lady, cv. Granny Smith), with associated flower phenology and meteorology (temperature, wind speed, cloud cover). The spreadsheet entitled ‘Floral_Phenology_Survey_Tierney_RSPB_2023.dat’ contains data on the number of flower clusters, open flowers for each branch, and the length of the branch in order to calculate the Bloom Index . Detailed information (column descriptions, etc) about these datasets is in the associated README files. These files contain all the data presented in the related manuscript and the ESM. The Authors are open to collaboration – please contact via email s.tierney@westernsydney.edu.au and ORCID 0000-0002-8812-6753 for any proposed downstream use of these data sets.
      • Data type dataset
    • Keywords
      • Native bees
      • foraging behaviour
      • apple
      • pollination service
      • efficacy
      • biogeography
    • Funding source
      • Horticulture Innovations Australia
    • Grant number(s)
      • - PH15001
      • FoR codes
      • 300413 - Pollination biology and systems
      • 310301 - Behavioural ecology
      • 310405 - Evolutionary ecology
      SEO codes
      • 260511 - Pome fruit, pip fruit
      • 280102 - Expanding knowledge in the biological sciences
    - Coverage
      Temporal (time) coverage
    • Start date 2017/09/01
    • End date 2019/10/31
      • Time period
       
      Spatial (location,mapping) coverage
    • Locations
      • Blue Mountains
      • Central West NSW
      • State of New South Wales
    - Data
    - Supplements
    • Related publications
        Name Tierney SM, Bernauer, King L, Spooner-Hart R, Cook JM. 2023. Bee pollination services and the burden of biogeography. Proceedings of the Royal Society of London B accepted 24 May 2023. DOI: RSPB-2023-0747
      • URL https://doi.org/10.1098/rspb.2023.0747
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    - License
    - Citation
      Citation Tierney, Simon (2023): Bee pollination services and the burden of biogeography dataset. Western Sydney University. https://doi.org/10.26183/tpnc-6d82

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