The contribution of C3 and C4 grasses to interannual variability in time-integrated NDVI over the U.S. Great Plains
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Abstract
Time integrated normalized difference vegetation index (ΣNDVI) derived from NOAA AVHRR multitemporal imagery over a 10-yr period (1989-1998) was used as a surrogate for primary production to investigate the impact of interannual climate variability on grassland performance for central and northern U.S. Great Plains. First, the contribution of C3 and C4 species abundances to the major grassland ecosystems of the U.S. Great Plains is described. Next, the relation between mean ΣNDVI and the ΣNDVI coefficient of variation (CV ΣNDVI) used as a proxi for interannual climate variability is analyzed. Results suggest that the differences in the long-term climatic control over ecosystem performance approximately coincide with changes between C3- and C4-dominant grassland classes. Variation in remotely sensed net primary production over time is higher for the southern and western plains grasslands (primarily C4 grasslands), whereas the C3-dominated classes in the northern and eastern portion of the U.S. Great Plains generally show lower CV ΣNDVI values.
Study Area
Publication type | Conference Paper |
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Publication Subtype | Conference Paper |
Title | The contribution of C3 and C4 grasses to interannual variability in time-integrated NDVI over the U.S. Great Plains |
DOI | 10.1142/9789812777249_0043 |
Year Published | 2002 |
Language | English |
Publisher | World Scientific |
Contributing office(s) | Earth Resources Observation and Science (EROS) Center |
Description | 8 p. |
Larger Work Type | Book |
Larger Work Subtype | Conference publication |
Larger Work Title | Analysis of multi-temporal remote sensing images: Proceedings of the first international workshop on multitemp 2001 |
First page | 379 |
Last page | 386 |
Conference Title | First International Workshop on Multitemp 2001 |
Conference Location | Trento, Italy |
Conference Date | Sep 13-14, 2002 |
Country | United States |
Other Geospatial | central and northern Great Plains |
Google Analytic Metrics | Metrics page |