240 likes | 254 Views
This study explores the impact of using visualization and animation in presentations about forest succession and fire behavior. It investigates whether these techniques increase knowledge, enhance effectiveness, influence public perceptions, and affect credibility.
E N D
Effects of using Visualization and Animation in Presentations about Forest Succession and Fire Behavior Potential Jane Kapler Smith, USDA Forest Service Donald E. Zimmerman, Colorado State University Carol Akerelrea, USDI BLM Garrett O’Keefe, Colorado State University Thank you: Joint Fire Science Program
Thank you, Partners and Advisors: Paula Fornwalt, Rocky Mountain Research Station, Fort Collins Merrill Kaufmann, Rocky Mountain Research Station, Fort Collins Laurie Huckaby, Rocky Mountain Research Station, Fort Collins Jason Stoker, Rocky Mountain Research Station, Fort Collins Nick Crookston, Rocky Mountain Research Station, Moscow Jim zumBrunnen, Colorado State University Thank you, Workshop Participants!
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000
We asked: • 1. Can a presentation about forest modeling increase knowledge about forest processes in members of the public? • 2. Do computer visualizations and animations enhance effectiveness of such a presentation? • 3. Do formal presentations influence public perceptions of the Forest Service and forest management? • 4. Do visualization and • animation affect these • perceptions?
Model: FVS-FFE Graphics: SVS Groups: Rural mountain residents (Poudre Canyon) Town residents (Fort Collins) Students (Colorado State)
Programs: 4 “visualized” presentations 3 “non-visualized” presentations 142 participants Topics: Succession Fire behavior Forest management Modeling • Agenda: • Refreshments • Introduction– purpose, paperwork, honorarium • Pre questionnaire– knowledge • Presentation • Post questionnaire– knowledge plus • presentation, visual aids, demographics plus • Forest Service credibility, model credibility
Visualized & Animated Not Visualized or Animated 1900 1940 2000 1990 1980 1970 1950 1930 1920 1910 1960 1900 ~1896 2000 Concept: Succession
~1903 1900– 170 trees 2020 2000 2050– 547 trees 2030 2010 2040 2000– 409 trees ~1999 ~2050 Concept: Modeling future condition • Model predicts: • 25% more trees • 30% greater cover Not Visualized or Animated Visualized & Animated
1900 1900 ~1903 2000 2000 2050 ~1999 ~2050 2000 2030 2010 2020 2040 Concept: Modeling future condition • Model predicts: • 25% more trees • 30% greater cover Not Visualized or Animated Visualized & Animated
Pre to Post Questionnaire Succession 87% Fire behavior 87% Management 78% * * * Models 95% Knowledge signif. “Don’t know” signif. 1. Can a presentation about forest modeling increase knowledge about forest processes in members of the public?
* * * Succ. Fire be. Mgt. Models Knowledge signif. 2. Do computer visualizations and animations enhance effectiveness of such presentations? No Yes Yes Yes No No vs. • Possible explanations: • Age • Education/biology
* * 2. Do computer visualizations and animations enhance effectiveness of such presentations? ….if “effectiveness” = “appeal”…
Usu.true Not true 3. Do formal presentations influence public perceptions of the Forest Service and forest management? Probably Yes: 4. Do visualization and animation affect these perceptions? Substantial variation, no clear pattern
Conclusions 1. Presentations can enhance understanding of forest processes and models. 2. Visualization & animation may increase understanding for some audiences (older or less educated?)… and people like it! 3. Presentations may increase agency credibility 4. Visualization & animation unlikely to increase credibility 5. Presentation quality matters
How do forests change over time? • How do fires influence forests, and forests influence fires? • How do our choices influence forests… and fires?
0.5 inch The players: ponderosa pine…
Models help us understand and predict
1900 1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 Modeled Succession
No data No data No data No data No data No data No data No data No data No data No data No data Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data 2000 2000 2000 2000 2000 2000 2000 2000 2000 2000 2000 2000 2000 2000 2000 2000 2000 2000 2050 2050 2050 2050 2050 2050 2050 2050 2050 2050 2050 2050 ~1896 ~1896 ~1896 ~1896 ~1896 ~1896 ~1896 ~1896 ~1896 ~1896 ~1896 ~1896 Modeled Modeled Modeled Modeled Modeled Modeled Modeled Modeled Modeled Modeled Modeled Modeled Modeled Modeled Modeled Modeled Modeled Modeled Modeled Modeled Modeled Modeled Modeled Modeled Modeled Modeled Modeled Modeled Modeled Modeled Modeled Modeled Modeled Modeled Modeled Modeled Modeled Modeled Modeled Modeled Modeled Modeled 2000 2000 2000 2000 2000 2000 2000 2000 2000 2000 2000 2000 2050 2050 2050 2050 2050 2050 2050 2050 2050 2000 2000 2000 2000 2000 2000 2000 2000 2000 2000 2000 2000 2050 2050 2050 2050 2050 2050 2050 2050 2050
Surface & Passive Crowning Active Crowning Surface & Passive Crowning Active Crowning Open Open Open Open (1900) (1900) (1900) (1900) Dense Dense (2000) (2000) Dense Dense (2000) (2000) Denser Denser Denser Denser (2050) (2050) (2050) (2050) Modeled Potential for Active Crown Fire Modeled Potential for Active Crown Fire 0 0 60 60 10 10 20 20 30 30 40 40 50 50 Wind, mph Wind, mph Wind, mph Wind, mph
Effects of using Visualization and Animation in Presentations Presentations and Visualization and Animation in Presentations Information at Firelab.org Thank you!