Not Just Dots on a Map: How Geography Influences Real World Decisions Part 3

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  • Design and build a GIS tree assessment data model that will be distributed freely to botanic gardensConduct a detailed conservation assessment of the trees in the ArbDevelop a long range conservation plan for the treesOutline data model, give examples of numerous analyses that can be performed and show how these examples are being used to develop a conservation plan
  • 7 categories of data, intended to be a compliment to the The ArcGIS® Botanical Garden & Zoological Park Data Model which allows for the mapping and management of living plant collections
  • Scores are assigned from 0-3 and each number relates to a specific level of health for a given category
  • 12 = most severe hazards
  • Current examination has focused on hazard and health dataAs a collection manager and someone fam with our trees, walnut grove no surprise. Aust and cottwood clusters are areas of concern though
  • Overlap between the two and with previous analyses

Transcript

  • 1. How Geography Influences Real World Decisions:GIS for Tree Assessment and Conservation
    Mia Ingolia, Curator,
    meingolia@ucdavis.edu
  • 2. Project Goals
    GIS Tree Assessment Data Model
    Conservation Assessment
    Long-term Conservation Plan
  • 3. Why GIS?
    • Provides a standardized framework for collecting, organizing, and managing data
    • 4. Visual displays of information can reveal patterns and relationships that may not be apparent in tabular displays
    • 5. Numerous applications (cartography, remote sensing, land surveying, photogrammetry, geography, urban planning, and emergency management) make it a useful skill for students to learn
  • GIS Tree Assessment Data Model
    • ArcGIS® Botanical Garden & Zoological Park Data Model
    Components
    Health Assessment
    Hazard Assessment
    Soil Chemistry
    Water Chemistry
    Irrigation Analysis
    Tree Maintenance History
  • 6. Health Assessment
    • Based on Neighbourwoods© protocol
    • 7. Uses a standardized set of rules that assigns a numeric value to various elements of tree health
    • 8. Scores are put through a model that weighs their relative impact on tree health and generates a condition rating for each tree.
    • 9. Five condition categories result: Excellent, Good, Fair, Poor and Very Poor
  • Health Assessment
    Trunk Rot/Cavities
    0 = no sign of rot/cavity
    1 = rot/cavity is 1/8 – 1/4 of the diameter of trunk
    2 = rot/cavity is 1/4 – 1/2 of diameter of trunk
    3 = rot/cavity is > 1/2 of diameter of trunk
  • Hazard Assessment
    • International Society of Arboriculture (ISA) protocol
    • 28. Failure Potential
    • 29. Size of Part Most Likely to Fail
    • 30. Target Rating
    • 31. Insect Information
    • 32. Severity of Insect Infestation
    • 33. Pathogen
    • 34. Severity of Pathogen
    • 35. Condition Rating
    • 36. Scores from items are added together to generate a hazard rating between 3-12
  • Soil Chemistry
    Stores soil point sample data
    Facilitates importation of NRCS (SURGGO) Soil Surveys into your GIS
  • 37. Water Chemistry
    Point samples from where the plants get their water
    Useful for the creation of a water analysis report
    Feature classes for water quality samples
  • 38. Irrigation Analysis
    Stores spread and volume data for sprinkler, drip, etc.
    Disturbance and Impacts
    Houses information regarding animal and man made threats to tree health
    Tree Maintenance History
  • 39. Dots on a map?
  • 40.
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  • 45.
    • Used buffer, intersect, and measuring tools to determine area
    • 46. Determined we wanted to plant trees with an adult canopy of 1300 sq ft
    • 47. Want to plant an additional 50% of canopy cover = 13 trees
  • Additional Analyses
    Maps of rare and/or endangered holdings
    Wild collected vs. garden origin accessions
    Age and/or DBH distribution throughout the collection in order to determine replacement strategies
    Condition ratings by species
    Pest distribution
  • 48. USDA Forest Service iTree
    Software suite that provides urban forestry analysis and benefits assessment tools
    iTree Eco and iTree Streets
    Species composition, number of trees, tree density, tree health, etc.
    Hourly amount of pollution removed by the urban forest
    Total carbon stored and net carbon annually
    Effects of trees on building energy
    Value (the annual monetary value of the benefits provided and costs accrued)
    Management needs (evaluations of diversity, canopy cover, planting, pruning, and removal needs).
  • 49. Conservation Assessment and Long Range Conservation Plan
    • Current examination has focused on hazard and health data
    • 50. Incorporate rare and endangered information using the BGCI’s North American Collections Assessment information
    • 51. Incorporating soil data and water data as it become available
    • 52. Use all this information to determine needs, establish a conservation plan, and secure future funding
  • In closing….
    Today’s analysis are simple and easy but have a lot of use for collection management
    Enables well organized planning, effective collection development, and successful conservation
  • 53. Mia Ingolia, meingolia@ucdavis.edu
    Special thanks to:
    Brian Morgan, UC Davis Arboretum, GIS Specialist
    Melanie Gentles, UC Davis Grounds Division, Campus Arborist
    Institute of Museum and Library Services