More Related Content
Similar to Not Just Dots on a Map: How Geography Influences Real World Decisions Part 3 (20)
More from American Public Gardens Association (20)
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 ConservationMia Ingolia, Curator, meingolia@ucdavis.edu
- 2. Project GoalsGIS Tree Assessment Data ModelConservation AssessmentLong-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 ModelComponentsHealth AssessmentHazard AssessmentSoil ChemistryWater ChemistryIrrigation AnalysisTree 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 PoorHealth AssessmentInventory Date
- 10. DBH
- 11. Height
- 12. Reduced Height
- 13. Unbalanced Crown
- 15. Defoliation
- 18. Lean
- 19. Pruning Scars
- 20. Trunk Scars
- 21. ConksTrunk Rot/Cavities0 = no sign of rot/cavity1 = rot/cavity is 1/8 – 1/4 of the diameter of trunk2 = rot/cavity is 1/4 – 1/2 of diameter of trunk3 = rot/cavity is > 1/2 of diameter of trunkBranch Rot/Cavities
- 23. Cracks
- 24. Confined Space
- 25. Root Trenching
- 26. Girdling Roots
- 27. Trunk Rot/CavitiesHazard AssessmentInternational Society of Arboriculture (ISA) protocol
- 29. Size of Part Most Likely to Fail
- 30. Target Rating
- 32. Severity of Insect Infestation
- 33. Pathogen
- 35. Condition Rating
- 36. Scores from items are added together to generate a hazard rating between 3-12Soil ChemistryStores soil point sample dataFacilitates importation of NRCS (SURGGO) Soil Surveys into your GIS
- 37. Water ChemistryPoint samples from where the plants get their waterUseful for the creation of a water analysis reportFeature classes for water quality samples
- 38. Irrigation AnalysisStores spread and volume data for sprinkler, drip, etc. Disturbance and ImpactsHouses information regarding animal and man made threats to tree health Tree Maintenance History
- 39. Dots on a map?
- 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 treesAdditional AnalysesMaps of rare and/or endangered holdingsWild collected vs. garden origin accessionsAge and/or DBH distribution throughout the collection in order to determine replacement strategies Condition ratings by speciesPest distribution
- 48. USDA Forest Service iTreeSoftware suite that provides urban forestry analysis and benefits assessment toolsiTree Eco and iTree StreetsSpecies composition, number of trees, tree density, tree health, etc.Hourly amount of pollution removed by the urban forestTotal carbon stored and net carbon annuallyEffects of trees on building energyValue (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 PlanCurrent 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 fundingIn closing….Today’s analysis are simple and easy but have a lot of use for collection managementEnables well organized planning, effective collection development, and successful conservation
- 53. Mia Ingolia, meingolia@ucdavis.eduSpecial thanks to:Brian Morgan, UC Davis Arboretum, GIS SpecialistMelanie Gentles, UC Davis Grounds Division, Campus ArboristInstitute of Museum and Library Services
Editor's Notes
- #3: 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
- #5: 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
- #7: Scores are assigned from 0-3 and each number relates to a specific level of health for a given category
- #8: 12 = most severe hazards
- #12: 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
- #20: Overlap between the two and with previous analyses