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Abstract:

The use of NOAA-AVHRR NDVI time series from July 1981 to December 2000 was evaluated for the assessment of the functioning of a wetland macrosystem, the Paraná River Delta. The spatial resolution of the dataset was 8 by 8 km. Spatial and temporal variations in NDVI pattern were analyzed and evidences for El Niño/South Oscillation events identified. We studied five wetland units (WUs) classified on the basis of landscape pattern and dominant hydrologic regime. Spearman rank correlations were performed among the NDVI time series of the different WUs. NDVI time series were correlated with water level in the Paraná River and with records of local rainfall. In order to obtain a synthetic model of NDVI patterns, the autocorrelation functions (ACF) were estimated for each of the WUs. Results indicated that monthly mean NDVI values for all WUs showed a similar annual seasonal pattern, suggesting a control from the plant annual cycle on the NDVI signal. Besides, two general NDVI patterns were identified. The first pattern is represented by WUs under fluvial hydrologic regime. This is subjected to a significative interannual variability associated mainly to ENSO events. The second pattern corresponds to WUs with a very regular NDVI patterns. It includes wetlands which water input corresponds to tides or to rainfall. The ENSO had no significant influence on this pattern. This study suggests that NOAA-AVHRR NDVI long time series might provide valuable information about functioning of the large scale fluvial wetlands like those associated with South America basins. © 2008 Springer Science+Business Media B.V.

Registro:

Documento: Artículo
Título:Seasonal and interannual analysis of wetlands in South America using NOAA-AVHRR NDVI time series: The case of the Parana Delta Region
Autor:Zoffoli, M.L.; Kandus, P.; Madanes, N.; Calvo, D.H.
Filiación:Investigation Group in Wetlands Ecology, Department of Ecology, Genetics and Evolution, University of Buenos Aires, C1428EHA Buenos Aires, Argentina
National Institute of Water (INA), Autopista Ezeiza-Cañuelas Tramo Jorge Newery Km 1.62, (1802) Ezeiza, Provincia de Buenos Aires, Argentina
Palabras clave:Autocorrelation function; Ecosystem functioning; El Niño/South oscillation; Landscape mosaic; NOAA-AVHRR NDVI; Remote sensing; Time series; Wetlands macrosystems; annual variation; assessment method; delta; El Nino-Southern Oscillation; estimation method; NDVI; rainfall; remote sensing; seasonal variation; time series; wetland; Argentina; Parana Delta; South America
Año:2008
Volumen:23
Número:7
Página de inicio:833
Página de fin:848
DOI: http://dx.doi.org/10.1007/s10980-008-9240-9
Título revista:Landscape Ecology
Título revista abreviado:Landsc. Ecol.
ISSN:09212973
CODEN:LAECE
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_09212973_v23_n7_p833_Zoffoli

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Citas:

---------- APA ----------
Zoffoli, M.L., Kandus, P., Madanes, N. & Calvo, D.H. (2008) . Seasonal and interannual analysis of wetlands in South America using NOAA-AVHRR NDVI time series: The case of the Parana Delta Region. Landscape Ecology, 23(7), 833-848.
http://dx.doi.org/10.1007/s10980-008-9240-9
---------- CHICAGO ----------
Zoffoli, M.L., Kandus, P., Madanes, N., Calvo, D.H. "Seasonal and interannual analysis of wetlands in South America using NOAA-AVHRR NDVI time series: The case of the Parana Delta Region" . Landscape Ecology 23, no. 7 (2008) : 833-848.
http://dx.doi.org/10.1007/s10980-008-9240-9
---------- MLA ----------
Zoffoli, M.L., Kandus, P., Madanes, N., Calvo, D.H. "Seasonal and interannual analysis of wetlands in South America using NOAA-AVHRR NDVI time series: The case of the Parana Delta Region" . Landscape Ecology, vol. 23, no. 7, 2008, pp. 833-848.
http://dx.doi.org/10.1007/s10980-008-9240-9
---------- VANCOUVER ----------
Zoffoli, M.L., Kandus, P., Madanes, N., Calvo, D.H. Seasonal and interannual analysis of wetlands in South America using NOAA-AVHRR NDVI time series: The case of the Parana Delta Region. Landsc. Ecol. 2008;23(7):833-848.
http://dx.doi.org/10.1007/s10980-008-9240-9