
NSF Org: |
IOS Division Of Integrative Organismal Systems |
Recipient: |
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Initial Amendment Date: | February 27, 1995 |
Latest Amendment Date: | February 5, 2001 |
Award Number: | 9411976 |
Award Instrument: | Continuing Grant |
Program Manager: |
William E. Zamer
IOS Division Of Integrative Organismal Systems BIO Directorate for Biological Sciences |
Start Date: | February 15, 1995 |
End Date: | January 31, 2002 (Estimated) |
Total Intended Award Amount: | $4,195,523.00 |
Total Awarded Amount to Date: | $4,300,023.00 |
Funds Obligated to Date: |
FY 1996 = $636,653.00 FY 1997 = $591,454.00 FY 1998 = $739,820.00 FY 1999 = $959,285.00 FY 2000 = $718,309.00 FY 2001 = $54,502.00 |
History of Investigator: |
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Recipient Sponsored Research Office: |
1 UNIVERSITY OF NEW MEXICO ALBUQUERQUE NM US 87131-0001 (505)277-4186 |
Sponsor Congressional District: |
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Primary Place of Performance: |
1 UNIVERSITY OF NEW MEXICO ALBUQUERQUE NM US 87131-0001 |
Primary Place of
Performance Congressional District: |
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Unique Entity Identifier (UEI): |
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Parent UEI: |
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NSF Program(s): |
Population & Community Ecology, ECOLOGICAL & EVOLUTIONARY PHYS, LONG TERM ECOLOGICAL RESEARCH, BIOLOGICAL RESEARCH COLLECTION, CONNECTIONS, AFRICA, NEAR EAST, & SO ASIA, EAST ASIA AND PACIFIC PROGRAM, CENTRAL & EASTERN EUROPE PROGR, JAPAN AND KOREA PROGRAM, AISL |
Primary Program Source: |
01000102DB NSF RESEARCH & RELATED ACTIVIT app-0195 app-0196 app-0197 app-0198 app-0199 app-0498 |
Program Reference Code(s): |
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Program Element Code(s): |
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Award Agency Code: | 4900 |
Fund Agency Code: | 4900 |
Assistance Listing Number(s): | 47.074 |
ABSTRACT
DEB9411976 MILNE The Sevilleta Long-Term Ecological Research Program (LTER) is designed to address a suite of ecological hypotheses concerning climate dynamics and the responses of organisms in a biome transition zone in central New Mexico. The Sevilleta straddles several major biomes of the Southwest, including the Great Basin, Great Plains, and Chihuahuan Desert, and is at the epicenter of the mid-elevation Mogollon Conifer Woodland Flora. Additional ecosystems in the study region include Rio Grande riparian cottonwood forests, mid-elevation ponderosa pine forests, mid-elevation ponderosa pine forests, and higher-elevation mixed-conifer / aspen forests. The region is strongly influences by the El Nino Southern Oscillation (ENSO), with major fluctuations in precipitation on semi-decadal times scales. The major theme of the Sevilleta LTER relates to the synthetic understanding of ecological responses at various levels of organization (e.g., organismal, population, community, ecosystem, and landscape) and at multiple spatial and temporal scales. The research is organized to address (1) the role of water in the region in driving major ecosystem processes, (2) the fate of carbon as it is controlled by processes of assimilation, decomposition, and redistribution, (3) land use practices which regulate the extent and distribution of carbon processing, (4) the assembly, distribution and maintenance of biodiversity, and (5) the direct and indirect consequences of changing climatic conditions. Mathematical water balance models will provide a unifying synthesis of the LTER core topics and the various levels of organization studied by the participating investigators. The water balance approach will take advantage of continued studies from the first six years and will provide a conceptual and quantitative context for a modest number of new studies that provide a richer and more complete characterization of the Sevilleta. In addition, LTER scientists will implement a systems model of the CENTURY class in a geographical context, in which the water balance will be driven by the nonequilibrium water model. Thus, the models will provide a synthesis of existing and future data concerning the core areas of organic matter processing, primary production, and inorganic inputs. The synthesis will be of immediate use in relation to the disturbance and population core topics, including vegetation-environment relations, nutrient dynamics, species distributions and abundances, animal population studies, and population genetics. These field and laboratory studies will provide the necessary biological components that represent the contingencies and feedbacks that are both the responses to, and the constraints on, the dynamics of water.
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