20190822 14070300 1.0 TRUE Linear trend of yearly growing season vegetation productivity. R value of the fitted line. Temporal extent 2000-2016. Spatial resolution 500m. ecosystems biodiversity land degradation climate change Linear trend of yearly growing season vegetation productivity European Environment Agency LINT0016trdR 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