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Phenology

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First bloom date (SI models) Last frost date in ... SI First Bloom 1961-2000 Slope. UW-Milwaukee Geography ... Simulated phenology (SI first bloom dates) ... – PowerPoint PPT presentation

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Title: Phenology


1
Phenology
  • Changes in
  • North American spring
  • as indicated by
  • the lilac phenology network

2
Research Contributions
  • Phenology analyses from D. Wolfe
  • Phenology data from J. Caprio
  • Climate data from USA National Climatic Data
    Center
  • NSF Grants ATM-9510342, 9809460, and 0085224

3
Research Contributions
  • Delayed Moving Average (DMA) Satellite start of
    season (SOS) technique developed by Bradley Reed
    and colleagues
  • Seasonal Midpoint NDVI (SMN) Satellite start of
    season (SOS) technique developed by Michael White
    and colleagues

4
Terrestrial Biosphere Dynamic Change Detection
  • Satellite Phenology
  • Cloned Species Phenology
  • Native Species Phenology
  • Simulated Phenology (Models)

5
Satellite Phenology
  • Advantages
    1) Global coverage
    2) Integrated signal
  • Limitations
    1) Short period-of-record
    2) Cloud cover interference
    3) Interpretation issues
    4) Small set of measures

6
DMA NDVI Start of Season 1995(Reed et al., mean
day 74, March 15th)
7
SMN NDVI Start of Season 1995 (White et al.,
mean day 124, May 4th)
8
Cloned Species Phenology
  • Advantages
    1) Ideal for model development
    2) Standardized response to
    environment 3) Broad range
  • Limitations
    1) Lack of network geographical coverage
    2) Not adapted to local
    environment

9
Lilac First Leaf
10
Lilac First Leaf 1961-2000 Slope
11
Lilac First Leaf 1961-2000 Slope
12
Lilac First Leaf NE USA
13
Lilac First Leaf NE USA
14
Lilac First Bloom
15
Lilac First Bloom 1961-2000 Slope
16
Lilac First Bloom 1961-2000 Slope
17
Lilac First Bloom NE USA
18
Lilac First Bloom NE USA
19
Native Species Phenology
  • Advantages
    1) Adapted to the local environment
    2) Precise signal
  • Limitations
    1) Lack of network geographical coverage
    2) Limited range
    3) Geographical
    variations in response

20
Simulated Phenology
  • Advantages
    1) Broad coverage if using simple input
    2) Standardized
    response
  • Limitations
    1) Model inadequacies
    2) Small set of events and plants

21
Spring Indices Suite of Measures
  • First frost date in Autumn
  • Composite chill date (SI models)
  • First leaf date (SI models)
  • First bloom date (SI models)
  • Last frost date in Spring
  • Frost period
  • Damage index value (first leaf last frost)
  • Average annual and twelve average monthly
    temperatures

22
First 2.2C Freeze Date 1961-2000 Slope
23
October Average Temperature 1961-2000 Slope
24
SI Chill 1961-2000 Slope
25
SI First Leaf Departures in North America
26
SI First Leaf 1961-2000 Slope
27
SI First Bloom 1961-2000 Slope
28
Last Freeze Date Departures in North America
29
Last 2.2C Freeze Date 1961-2000 Slope
30
Integrated ApproachExample WisconsinZhao and
Schwartz (2003)
  • Satellite phenology (DMA SOS)
  • Simulated phenology (SI
    first bloom dates)
  • Native species phenology (WPS records of first
    bloom date for 21 introduced and 32 native
    species)

31
Integrated Species Indices (ISI)southwestern
Wisconsin
32
Critical Data/Analysis Needs
  • Interpretation/Comparison of satellite phenology
  • National, continental, and global scale phenology
    networks
  • Interpretation of ripple effects in biomes

33
Global Assessment
  • North America
  • China and East Asia
  • former Soviet Union
  • Europe
  • Australia
  • South America
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