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Final Project - Many choices!

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Some basic questions: Are tundra fires biased towards specific vegetation types, ... What climatic conditions are associated with historic tundra fires? – PowerPoint PPT presentation

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Title: Final Project - Many choices!


1
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)
  • 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 AlternativesREM402, 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 questionsfew
answers
Photo Dale Woitas, AFS, BLM
5
  • Will tundra area burned increase?

Photo Dale Woitas, AFS, BLM
W. Chapman , U of IL http//arctic.atmos.uiuc.ed
u/CLIMATESUMMARY/2003
6
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
  • Alaska Fire Database historic fires from 1950 to
    present, including record-setting Anaktuvuk River
    Fire of 2007 (http//agdc.usgs.gov/data/blm/fire/i
    ndex.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
  • Non-random locations ? implies a biophysical
    explanation

9
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
  • 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
  • phiguera_at_uidaho.edu

12
Focus on Sagebrush Habitats
GAP Habitat Model Predicted suitable habitat for
the Greater Sage Grouse
13
Objective 1So 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 2Model 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 3Applications in Local Conservation
Planning
  • What map products and other GIS data are useful
    for conservation planning and development of
    CCAs 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
OpportunitiesDevelop 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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