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Not Just Dots on a Map: How Geography Influences Real World Decisions Part 3
- 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
- 4. Visual displays of information can reveal patterns and relationships that may not be apparent in tabular displays
- 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.
- 10. DBH
- 11. Height
- 12. Reduced Height
- 13. Unbalanced Crown
- 15. Defoliation
- 18. Lean
- 19. Pruning Scars
- 20. Trunk Scars
- 23. Cracks
- 24. Confined Space
- 25. Root Trenching
- 26. Girdling Roots
- 29. Size of Part Most Likely to Fail
- 30. Target Rating
- 32. Severity of Insect Infestation
- 33. Pathogen
- 35. Condition Rating
- 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?
- 46. Determined we wanted to plant trees with an adult canopy of 1300 sq ft
- 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).
- 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
- 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
Notas do Editor
- 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