Remote Sensing and Avian Biodiversity Patterns in the United States - PowerPoint PPT Presentation

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Remote Sensing and Avian Biodiversity Patterns in the United States

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1Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, ... Mesquite Sandsage. 600 m. St-Louis et al. 2006. Remote Sensing of Environment ... – PowerPoint PPT presentation

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Title: Remote Sensing and Avian Biodiversity Patterns in the United States


1
Remote Sensing and Avian Biodiversity Patterns
in the United States
  • Volker C. Radeloff1, Anna M. Pidgeon1, Curtis H.
    Flather2, Patrick Culbert1, Veronique St-Louis1,
    and Murray K. Clayton3
  • 1Department of Forest and Wildlife Ecology,
    University of Wisconsin-Madison, Wisconsin
  • 2U.S.Forest Service Rocky Mountain Research
    Station, Fort Collins, Colorado
  • 3Department of Statistics, University of
    Wisconsin-Madison, Madison, Wisconsin

2
Introduction
  • We know generallywhat affects biodiversity
  • MacArthurs big three
  • Habitat loss and fragmentation
  • Human threats
  • History

The machinery controlling species diversity
after MacArthur (1972)
3
Introduction
  • Less clear are relative importance, interactions,
    and regional variability of these factors
  • Basic science question
  • How can we explain observed spatial patterns of
    biodiversity?
  • Applied science needs
  • Landscape level biodiversity maps

4
Questions
  • Can remote sensing measures of habitat structure
    predict avian biodiversity patterns?
  • Can measures of human threats to habitat predict
    biodiversity?

5
Questions
  • Can remote sensing measures of habitat structure
    predict avian biodiversity patterns?
  • Can measures of human threats to habitat predict
    biodiversity?

6
Questions
  • And how do relationshipsdiffer among
  • Species Guilds, and
  • Ecoregions?

7
Habitat Structure
  • Local measures of habitat structure (e.g.,
    foliage height diversity) are among the strongest
    predictors of biodiversity
  • More structure means more ecological niches, and
    generally higher biodiversity
  • The challenge is to measure vegetation structure
    with remote sensing

8
Habitat Structure New Mexico
Mesquite Sandsage
600 m
600 m
St-Louis et al. 2006. Remote Sensing of
Environment
9
Habitat Structure New Mexico
High texture Low texture
  • Many texture measures available
  • Can image texture capture fine- scale
    habitat structure?

10
Habitat Structure New Mexico
R2 0.50 p lt 0.001
11
Habitat Structure New Mexico
NIR SWIR NDVI
R2 34
R2 66
R2 73
  • Image texture captures fine-scale habitat
    structure in semi-deserts
  • Good predictor of species richness

St-Louis et al. 2008. Ecography
12
Habitat Structure Wisconsin
13
Habitat Structure Wisconsin
3x3 Window Standard Deviation TM4
14
Habitat Structure Wisconsin
R2 0.31 p lt 0.001
  • Multivariate model R2 0.56
  • BUT relationship is negative

15
Habitat Structure Wisconsin
3x3 Window Standard Deviation TM4
16
Habitat Structure
  • Phenology affects texture measures
  • Both problem and opportunity

17
Habitat Structure
  • Satellite image texture is a good measure of
    fine-scale habitat structure
  • The scale of texture is between point
    measurements and landscape indices
  • Texture captures structure within a land cover
    class
  • Texture predicts avian biodiversity well

18
Human Threats
  • Habitat loss
  • Habitat fragmentation
  • Habitat modification
  • These threats may interact

19
Human Threats
20
National Land Cover Database
21
(No Transcript)
22
(No Transcript)
23
Human Threats
Northern Wisconsin
Madison, Wisconsin
24
Human Threats
Proportion () of possible occurrences in models
Pidgeon et al 2007. Ecological Applications
25
Human Threats
  • Habitat loss is the major predictor
  • Habitat fragmentation is important
  • Habitat modification (i.e., housing development)
    just as important
  • Threats interact multivariate models predict
    best

26
Conclusions
  • Can remote sensing measures of habitat structure
    predict avian biodiversity patterns?
  • YES!
  • Can measures of human threats to habitat predict
    biodiversity?
  • YES!
  • Our ability to explain, and thus to predict avian
    biodiversity patterns is increasing

27
Thank You!
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