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- W1628865941 abstract "The climate in the Caatinga, especially precipitation, influences the pattern of spatial and temporal distribution of the vegetation that in turn influences the regional climate from the feedback mechanism of energy flows, water and momentum. This climate-vegetation interaction in the Caatinga is different depending upon the specific climatic pattern considered. The objective of this work is to identify the main phenological and seasonal features of the annual vegetation growth cycles and of the annual rainy season, respectively, in five climatic regions of the Caatinga biome. We use time series (2001-2008) of vegetation indices such as NDVI and LSWI, and precipitation that was derived of TRMM satellite data and surface station data. The results indicate that precipitation variability in the rainy season influences directly the variability of vegetation growth cycles. This influence is not linear but adjusted to a logarithmic function being better fitted with LSWI (r2 = 0.67) than with NDVI (r2 = 0.54). The influence of precipitation on vegetation, using phenological metrics such as start, end, peak and amplitude of the vegetation growing cycles, showed greater lag in climatic regions with higher precipitation in the Caatinga region" @default.
- W1628865941 created "2016-06-24" @default.
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- W1628865941 date "2014-04-24" @default.
- W1628865941 modified "2023-09-24" @default.
- W1628865941 title "INFLUENCE OF THE RAINFALL SEASONAL VARIABILITY IN THE CAATINGA VEGETATION OF NE BRAZIL BY THE USE OF TIME-SERIES" @default.
- W1628865941 doi "https://doi.org/10.5935/jhrs.v4i1.24" @default.
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