Environmental Research Letters · 2013 · 35 citations · 66 references
Natural SciencesEarth SciencesEcologyClimate ScienceClimatologyRemote SensingEl Niño-southern OscillationLand Surface MonitoringSeasonal Growth PatternsVegetation Cover AssessmentVegetation IndicesVegetation MonitoringAboveground Net Primary ProductivityEl Niño OscillationEl Niño-southern Oscillation VariabilityPhenological Vegetation IndicesPhenologySatellite PhenologyVegetation CoverVegetation Phenology Monitoring
Vegetation phenology reflects the response of a terrestrial ecosystem to climate change. In this study, we attempt to evaluate the El Niño/La Niña-Southern Oscillation (ENSO)-associated temporal dynamics of the vegetation onset and its influence on the net primary productivity (NPP) in a subtropical island (Taiwan) of Pacific Asia. We utilized a decade-long (2001–2010) time series of photosynthetically active vegetation cover (PV) data, which were derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) reflectance data, to delineate the vegetation phenology. These data served as inputs for the phenological analysis toolbox TIMESAT. The results indicated that the delayed vegetation onset time was directly influenced by a dry spring (February and March) in which less than 40 mm of rainfall was received. This seasonal drought impeded vegetation growth in the subsequent growing season, most likely due to delayed impacts of moisture stress related to the preceding ENSO events. The significant correlations obtained between the annual MODIS NPP and both the vegetation onset time and the length of the growing season may imply that the accumulated rainfall in the spring season governs the annual NPP. The model simulations revealed that the frequency and intensity of the ENSO-related spring droughts might increase, which would result in cascading effects on the ecosystem metabolism.
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Overview of the radiometric and biophysical performance of the MODIS vegetation indices
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