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Liang Liang and Mark Schwartz U. Wisconsin Milwaukee

Spatially intensive monitoring of spring phenology near the WLEF tower: Preliminary results from the 2006 field campaign. Liang Liang and Mark Schwartz U. Wisconsin Milwaukee. Background. Phenology Reveals Climate Change Indicator of Biospheric Responses Living Organisms as Monitors

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Liang Liang and Mark Schwartz U. Wisconsin Milwaukee

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  1. Spatially intensive monitoring of spring phenology near the WLEF tower: Preliminary results from the 2006 field campaign Liang Liang and Mark Schwartz U. Wisconsin Milwaukee

  2. Background • Phenology Reveals Climate Change • Indicator of Biospheric Responses • Living Organisms as Monitors • Sensitive and Easily Observable • Connects to Ecosystem Exchange • Satellite Approach Calls for Ground Truthing

  3. Location of Study Site

  4. Intensive Monitoring Stratagem • Spatially: 3/7 cyclic sampling; 25m unit of separating distance; 300m×600m Area

  5. Intensive Monitoring Stratagem • Temporally: Bi-day observation, 15 Observations in 1 month period.

  6. Phenology Protocols

  7. Preliminary Results • Premise 1: Phenology varies with microclimate (To be studied) • Premise 2: Phenology varies among species (preliminary results) • Premise 3: Phenology varies within species (Preliminary results)

  8. Variation among Species

  9. Variation within Species

  10. Variation Within SpeciesAt the Same Plot

  11. HOBO Measurements • Record Temperature and RH every 10 min • Deployed on April 22, Recovered on May 27 • 32 HOBOs to 15 plots (with doubling or tripling) • Random sampling trying to capture major variation of different microenvironments

  12. Microenvironments

  13. Aspen and Cedar As Indicators

  14. HOBO Results • 5 HOBOs failed a few days later, 7 others failed around May 12 during a snowstorm.

  15. Woks To Be Done • Further comparison and spatially analyzing phenology and HOBO data. • Adding soil type variation as an influencing factor. • Incorporating elevation data for further microclimate characterization • Producing continuous microclimate and phenology data surfaces • Building relationship between the in-situ observation and satellite measures (MODIS, cloud problems)

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