NSF Org:	OPP Office of Polar Programs (OPP)
Recipient:	THE REGENTS OF THE UNIVERSITY OF COLORADO
Initial Amendment Date:	August 10, 2000
Latest Amendment Date:	August 10, 2000
Award Number:	0002651
Award Instrument:	Standard Grant
Program Manager:	Neil R. Swanberg OPP  Office of Polar Programs (OPP) GEO  Directorate for Geosciences
Start Date:	August 15, 2000
End Date:	July 31, 2005 (Estimated)
Total Intended Award Amount:	$366,945.00
Total Awarded Amount to Date:	$366,945.00
Funds Obligated to Date:	FY 2000 = $366,945.00
History of Investigator:	Astrid Ogilvie (Principal Investigator) Astrid.Ogilvie@colorado.edu Gisli Palsson (Co-Principal Investigator) James McGoodwin (Co-Principal Investigator) Hjalmar Vilhjalmsson (Co-Principal Investigator) Jon Haukur Ingimundarson (Co-Principal Investigator)
Recipient Sponsored Research Office:	University of Colorado at Boulder 3100 MARINE ST Boulder CO  US  80309-0001 (303)492-6221
Sponsor Congressional District:	02
Primary Place of Performance:	University of Colorado at Boulder 3100 MARINE ST Boulder CO  US  80309-0001
Primary Place of Performance Congressional District:	02
Unique Entity Identifier (UEI):	SPVKK1RC2MZ3
Parent UEI:
NSF Program(s):	ARCSS-Arctic System Science
Primary Program Source:	0100CYXXDB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s):	1079, 5219, EGCH
Program Element Code(s):	521900
Award Agency Code:	4900
Fund Agency Code:	4900
Assistance Listing Number(s):	47.078

ABSTRACT

This project will analyze the impacts of climate and environmental change on land and marine productivity and sustainability in the North Atlantic region around Iceland. Historical records from Iceland describe fisheries catches and hay and farm stock strategies over the last century. These will be evaluated in conjunction with climate, environmental, and oceanographic records to see if associated changes occur. Socio-economic factors will be evaluated by surveys of farmers and fishers. The project will contribute to our understanding of linkages between climate, ecosystem productivity and socio-economic adaptation and this understanding will allow better prediction of future climate change impacts.

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