Award Abstract # 0450268
Collaborative Research: WCR: Is Deforestation Changing the Hydrologic Climate and Vegetation Dynamics of the Amazon?

NSF Org: AGS
Division of Atmospheric and Geospace Sciences
Recipient: DUKE UNIVERSITY
Initial Amendment Date: February 16, 2005
Latest Amendment Date: February 16, 2005
Award Number: 0450268
Award Instrument: Standard Grant
Program Manager: Liming Zhou
AGS
 Division of Atmospheric and Geospace Sciences
GEO
 Directorate for Geosciences
Start Date: March 1, 2005
End Date: February 28, 2009 (Estimated)
Total Intended Award Amount: $94,482.00
Total Awarded Amount to Date: $94,482.00
Funds Obligated to Date: FY 2005 = $94,482.00
History of Investigator:
  • Roni Avissar (Principal Investigator)
    ravissar@rsmas.miami.edu
Recipient Sponsored Research Office: Duke University
2200 W MAIN ST
DURHAM
NC  US  27705-4640
(919)684-3030
Sponsor Congressional District: 04
Primary Place of Performance: Duke University
2200 W MAIN ST
DURHAM
NC  US  27705-4640
Primary Place of Performance
Congressional District:
04
Unique Entity Identifier (UEI): TP7EK8DZV6N5
Parent UEI:
NSF Program(s): BE-UF: WATER CYCLE
Primary Program Source: app-0105 
Program Reference Code(s): 1629, 7241, 7305, 9189, EGCH
Program Element Code(s): 730500
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.050

ABSTRACT

In this collaborative work, the PIs will test the hypothesis that the long-term hydrologic climate of Amazonia is changing as a result of deforestation. A regional coupled atmosphere-biosphere-hydrosphere model will be developed. The model's formulation addresses important limitations in earlier studies of Amazonian deforestation by (i) simulating observed patterns of land-cover change, (ii) simulating the long-term (decadal-to-century scale) consequences of the interaction between the vegetation, atmosphere and land-surface hydrology, (iii) incorporating forest edge effects (sub-grid scale variability in vegetation dynamics associated with forest pasture-interfaces), and (iv) running at spatial resolutions high enough to simulate explicitly mesoscale variability in important hydrologic climate processes such as cloud formation that are caused by fine scale patterns of deforestation. The following three sub-hypotheses will be evaluated:
Hypothesis 1: Observed patterns of deforestation are changing the long-term hydrologic climate of Amazonia.
Hypothesis 2: The changing hydrologic climate is changing both short (hourly-seasonal-yearly) and long-term (yearly-decadal) vegetation dynamics across the region.
Hypothesis 3: Changes in the land surface arising from the changing hydrologic climate are, in turn, shifting the climate and hydrologic cycle towards a more arid state.
The constrained model will then be used to predict the future state of the hydrologic climate and vegetation of the region.

The results from this study will be disseminated through webpages and links to existing Amazon research programs. It is planned to prepare an outreach program for high schools in Boston. Graduate and undergraduate students will be involved in the research.

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