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How Geography Influences Real World Decisions:GIS for Tree Assessment and Conservation<br />Mia Ingolia, Curator, <br />me...
Project Goals<br />GIS Tree Assessment Data Model<br />Conservation Assessment<br />Long-term Conservation Plan<br />
Why GIS?<br /><ul><li>Provides a standardized framework for collecting, organizing, and managing data
Visual displays of information can reveal patterns and relationships that may not be apparent in tabular displays
Numerous applications (cartography, remote sensing, land surveying, photogrammetry, geography, urban planning, and emergen...
Health Assessment<br /><ul><li> Based on Neighbourwoods© protocol
 Uses a standardized set of rules that assigns a numeric value to various elements of tree health
Scores are put through a model that weighs their relative impact on tree health and generates a condition rating for each ...
 Five condition categories result: Excellent, Good, Fair, Poor and Very Poor</li></li></ul><li>Health Assessment<br /><ul>...
DBH
Height
Reduced Height
Unbalanced Crown
Weak/Yellowing Foliage
Defoliation
Dead/Broken Branches
Poor Branch Attachment
Lean
Pruning Scars
Trunk Scars
Conks</li></ul>Trunk Rot/Cavities<br />0 = no sign of rot/cavity<br />1 = rot/cavity is 1/8 – 1/4 of the diameter of trunk...
 Trunk Rot/Cavities
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Not Just Dots on a Map: How Geography Influences Real World Decisions Part 3

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

  1. 1. How Geography Influences Real World Decisions:GIS for Tree Assessment and Conservation<br />Mia Ingolia, Curator, <br />meingolia@ucdavis.edu<br />
  2. 2. Project Goals<br />GIS Tree Assessment Data Model<br />Conservation Assessment<br />Long-term Conservation Plan<br />
  3. 3. Why GIS?<br /><ul><li>Provides a standardized framework for collecting, organizing, and managing data
  4. 4. Visual displays of information can reveal patterns and relationships that may not be apparent in tabular displays
  5. 5. Numerous applications (cartography, remote sensing, land surveying, photogrammetry, geography, urban planning, and emergency management) make it a useful skill for students to learn </li></li></ul><li>GIS Tree Assessment Data Model <br /><ul><li> ArcGIS® Botanical Garden & Zoological Park Data Model</li></ul>Components<br />Health Assessment<br />Hazard Assessment<br />Soil Chemistry<br />Water Chemistry<br />Irrigation Analysis<br />Tree Maintenance History<br />
  6. 6. Health Assessment<br /><ul><li> Based on Neighbourwoods© protocol
  7. 7. Uses a standardized set of rules that assigns a numeric value to various elements of tree health
  8. 8. Scores are put through a model that weighs their relative impact on tree health and generates a condition rating for each tree.
  9. 9. Five condition categories result: Excellent, Good, Fair, Poor and Very Poor</li></li></ul><li>Health Assessment<br /><ul><li>Inventory Date
  10. 10. DBH
  11. 11. Height
  12. 12. Reduced Height
  13. 13. Unbalanced Crown
  14. 14. Weak/Yellowing Foliage
  15. 15. Defoliation
  16. 16. Dead/Broken Branches
  17. 17. Poor Branch Attachment
  18. 18. Lean
  19. 19. Pruning Scars
  20. 20. Trunk Scars
  21. 21. Conks</li></ul>Trunk Rot/Cavities<br />0 = no sign of rot/cavity<br />1 = rot/cavity is 1/8 – 1/4 of the diameter of trunk<br />2 = rot/cavity is 1/4 – 1/2 of diameter of trunk<br />3 = rot/cavity is > 1/2 of diameter of trunk<br /><ul><li>Branch Rot/Cavities
  22. 22. Trunk Rot/Cavities
  23. 23. Cracks
  24. 24. Confined Space
  25. 25. Root Trenching
  26. 26. Girdling Roots
  27. 27. Trunk Rot/Cavities</li></li></ul><li>Hazard Assessment<br /><ul><li>International Society of Arboriculture (ISA) protocol
  28. 28. Failure Potential
  29. 29. Size of Part Most Likely to Fail
  30. 30. Target Rating
  31. 31. Insect Information
  32. 32. Severity of Insect Infestation
  33. 33. Pathogen
  34. 34. Severity of Pathogen
  35. 35. Condition Rating
  36. 36. Scores from items are added together to generate a hazard rating between 3-12</li></li></ul><li>Soil Chemistry<br />Stores soil point sample data<br />Facilitates importation of NRCS (SURGGO) Soil Surveys into your GIS<br />
  37. 37. Water Chemistry<br />Point samples from where the plants get their water<br />Useful for the creation of a water analysis report<br />Feature classes for water quality samples<br />
  38. 38. Irrigation Analysis<br />Stores spread and volume data for sprinkler, drip, etc. <br />Disturbance and Impacts<br />Houses information regarding animal and man made threats to tree health <br />Tree Maintenance History<br />
  39. 39. Dots on a map?<br />
  40. 40.
  41. 41.
  42. 42.
  43. 43.
  44. 44.
  45. 45. <ul><li> Used buffer, intersect, and measuring tools to determine area
  46. 46. Determined we wanted to plant trees with an adult canopy of 1300 sq ft
  47. 47. Want to plant an additional 50% of canopy cover = 13 trees</li></li></ul><li>Additional Analyses<br />Maps of rare and/or endangered holdings<br />Wild collected vs. garden origin accessions<br />Age and/or DBH distribution throughout the collection in order to determine replacement strategies <br />Condition ratings by species<br />Pest distribution<br />
  48. 48. USDA Forest Service iTree<br />Software suite that provides urban forestry analysis and benefits assessment tools<br />iTree Eco and iTree Streets<br />Species composition, number of trees, tree density, tree health, etc.<br />Hourly amount of pollution removed by the urban forest<br />Total carbon stored and net carbon annually<br />Effects of trees on building energy<br />Value (the annual monetary value of the benefits provided and costs accrued)<br />Management needs (evaluations of diversity, canopy cover, planting, pruning, and removal needs). <br />
  49. 49. Conservation Assessment and Long Range Conservation Plan<br /><ul><li>Current examination has focused on hazard and health data
  50. 50. Incorporate rare and endangered information using the BGCI’s North American Collections Assessment information
  51. 51. Incorporating soil data and water data as it become available
  52. 52. Use all this information to determine needs, establish a conservation plan, and secure future funding</li></li></ul><li>In closing….<br />Today’s analysis are simple and easy but have a lot of use for collection management<br />Enables well organized planning, effective collection development, and successful conservation<br />
  53. 53. Mia Ingolia, meingolia@ucdavis.edu<br />Special thanks to:<br />Brian Morgan, UC Davis Arboretum, GIS Specialist<br />Melanie Gentles, UC Davis Grounds Division, Campus Arborist<br />Institute of Museum and Library Services <br />

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