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Why Phenology

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Simulated growing season length varies from five to ten months ... Cherry Picker Image. Effects of Increased Sample Size. on sample standard deviation ... – PowerPoint PPT presentation

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Title: Why Phenology


1
Why Phenology?
  • Sensitive indicator of terrestrial vegetation
    responses to climatic variability
  • Important component of global models
  • Growing season in northern latitudes appears to
    be lengthening
  • Educational value

2
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3
1. Developing a Phenological Model
4
Growing Season Variability in Global Carbon
Models
  • Simulated growing season length varies from five
    to ten months
  • Need to establish realistic and consistent
    methods of regulating the timing and length of
    the growing season

5
Step One
  • Satellite Observations

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7
Data Set
  • U.S. Advanced Very High Resolution Radiometer
  • 1990-1992 daily observations
  • 20 km x 20 km contiguous land cover sites
  • Extracted deciduous broadleaf forest and
    grassland sites

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10
Step Two
  • Meteorological Interpolation

11
Weather Station Distribution
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13
1990
1990 1991 1992
deg C
deg C
gt32
lt-2
gt2
lt5
11
1990 1991 1992
cm
cm
gt300
lt5
lt-30
gt30
14
Step Three
  • Model Development and Results

15
Development Method
  • Select a meteorological model that best predicts
    the satellite observations
  • Traditional phenological models thermal
    summations, daylength, and drought stress
  • Parameter selection based on iterative
    cross-validation procedure

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17
Phenology Model Summary
18
DBF Onset
DBF Offset
Grassland Onset
Grassland Offset
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20
2. Growing Season Influences on Ecosystem
models
21
SITE DISTRIBUTION
Mean Ann Temp
7.8
C
9.4C
11.8C
16.3C
22
Growing Season Length vs. Mean Annual Temperature
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25
Charleston, SC
Burlington, VT
26
3. The Need for Field Data
27
Ground Measurements
  • Hubbard Brook and Harvard Forest LTER phenology
  • Onset 30 leaf expansion
  • Offset initial canopy senescence
  • Inconsistent methodologies

28
Comparison of Observed and Modeled Phenology
29
Ground monitoringmethods at the Jornada LTER
30
Jornada Transitional Site
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32
Site of Near-death Experience
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34
Effects of Increased Sample Size on sample
standard deviation
35
Instrument Intercomparison
FT FG PAI LAI
36
Science Education (creative data-gathering)
  • Global Learning and Observations to Benefit the
    Environment (GLOBE)
  • Students measure budburst of local dominant
    species
  • Useful for interpretation of satellite data
  • Easily observable demonstration of
    climate-vegetation connection

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41
Conclusions
  • Phenology is one of the most important topics in
    climate change research
  • Next generation of satellites - MODIS - will
    bring unprecedented ability to monitor growing
    season dynamics
  • Future topics include health and economic
    implications
  • Excellent field for internet-based student
    involvement

42
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