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Final Project - Many choices
Final Project - Many choices
Final Project Proposal (optional)
Final Project Proposal (optional)
Final Project Alternatives REM402, Fall 2010 Timeline
Final Project Alternatives REM402, Fall 2010 Timeline
Tundra Fire Regimes in Alaska: many questions…few answers
Tundra Fire Regimes in Alaska: many questions…few answers
Will tundra area burned increase
Will tundra area burned increase
Some basic questions:
Some basic questions:
Existing, rich, data sources:
Existing, rich, data sources:
Alaska fire history (red polygons) + CAVM vegetation classes:
Alaska fire history (red polygons) + CAVM vegetation classes:
Example analyses:
Example analyses:
Example analyses:
Example analyses:
Contact: Philip Higuera Assistant Professor of Fire Ecology
Contact: Philip Higuera Assistant Professor of Fire Ecology
Focus on Sagebrush Habitats
Focus on Sagebrush Habitats
Objective 1 So many maps…
Objective 1 So many maps…
Objective 2 Model Accuracy
Objective 2 Model Accuracy
Objective 3 Applications in Local Conservation Planning
Objective 3 Applications in Local Conservation Planning
Opportunities Develop GIS databases Candidate Conservation Agreements
Opportunities Develop GIS databases Candidate Conservation Agreements

Презентация на тему: «Final Project - Many choices». Автор: Philip Higuera. Файл: «Final Project - Many choices.ppt». Размер zip-архива: 4059 КБ.

Final Project - Many choices

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1 Final Project - Many choices

Final Project - Many choices

Work on your own data (graduate or senior project) Tundra fire regimes (Dr. Higuera) Fine scale habitat maps (Ginny Harris) Develop additional questions using class data

2 Final Project Proposal (optional)

Final Project Proposal (optional)

Include the following (max 3 pages):

Introduction Objectives or Hyporhesis Data and data sources Proposed methods Expected outputs/results

Grading rubrik on REM402 web site

3 Final Project Alternatives REM402, Fall 2010 Timeline

Final Project Alternatives REM402, Fall 2010 Timeline

Submit proposal (optional) Oct 11 the latest Work on project during Friday lab time Oct 15 (Eva in Boise), 22, 29 …also lecture time Oct 18-29 You are expected to spend some time outside of class hours on the project Final due date Nov 15

Grading rubrik on REM402 web site

4 Tundra Fire Regimes in Alaska: many questions…few answers

Tundra Fire Regimes in Alaska: many questions…few answers

Photo: Dale Woitas, AFS, BLM

5 Will tundra area burned increase

Will tundra area burned increase

5

Photo: Dale Woitas, AFS, BLM

W. Chapman , U of IL: http://arctic.atmos.uiuc.edu/CLIMATESUMMARY/2003

6 Some basic questions:

Some basic questions:

Are tundra fires biased towards specific vegetation types, and/or specific topographic conditions or landforms? What climatic conditions are associated with historic tundra fires? How to large vs. small tundra fire differ in terms of these patterns? How do tundra fires differ from boreal forest fires (e.g. fire size)?

7 Existing, rich, data sources:

Existing, rich, data sources:

Alaska Fire Database: historic fires from 1950 to present, including record-setting Anaktuvuk River Fire of 2007 (http://agdc.usgs.gov/data/blm/fire/index.html) Circumpolar Arctic Vegetation Map (CAVM): tundra vegetation across Alaska and the Arctic (http://www.geobotany.uaf.edu/cavm/ ) LANDFIRE: vegetation composition and structure, specific for fire and resource management (http://landfire.cr.usgs.gov/viewer/)

8 Alaska fire history (red polygons) + CAVM vegetation classes:

Alaska fire history (red polygons) + CAVM vegetation classes:

Non-random locations ? implies a biophysical explanation

9 Example analyses:

Example analyses:

Overlay Analysis: Do different tundra types burn more or less than expected based on random?

Expected area burned

Observed area burned

Tundra vegetation types

10 Example analyses:

Example analyses:

Overlay Analysis: what are the climatic conditions where most tundra fire occur?

Undergraduate student in GIS class

11 Contact: Philip Higuera Assistant Professor of Fire Ecology

Contact: Philip Higuera Assistant Professor of Fire Ecology

phiguera@uidaho.edu

12 Focus on Sagebrush Habitats

Focus on Sagebrush Habitats

GAP Habitat Model Predicted suitable habitat for the Greater Sage Grouse

13 Objective 1 So many maps…

Objective 1 So many maps…

.so little time…

Develop wildlife habitat models using the vegetation layer produced by GAP (30 m) and regionally derived finer scale map products (e.g. 3 m resolution and finer thematic resolution, e.g. shrub cover classes).

14 Objective 2 Model Accuracy

Objective 2 Model Accuracy

Compare the accuracy of wildlife habitat models for selected vertebrate species ranging from generalists to specialists using the 30 m and 3 m maps and different thematic resolution. Develop recommendations for biological traits that should be considered when selecting the mapping scale.

15 Objective 3 Applications in Local Conservation Planning

Objective 3 Applications in Local Conservation Planning

What map products and other GIS data are useful for conservation planning and development of CCA’s in sagebrush steppe? Develop guidelines, describing how GAP principles can be applied to regional map products to derive habitat models that are suitable for local conservation planning. Maps and models developed in this project will be available to those interested in conservation planning in the region where the prototype data was produced.

16 Opportunities Develop GIS databases Candidate Conservation Agreements

Opportunities Develop GIS databases Candidate Conservation Agreements

Fine scale vegetation maps with sage cover classes Gather other GIS data Elevation Parcels Roads Streams Fire atlas data Wells …….what else?

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