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Figure

Effect on vegetation productivity: number of frost days

Figure Created 27 Feb 2020 Published 03 Mar 2020 Last modified 03 Mar 2020
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The chart shows the effect of frost frequency variations on vegetation productivity, expressed in standard deviation units of vegetation productivity.

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information.png Methodology:

Productivity time series 2000-2016 (one value per year) over pixels with significant (p < 0.1) productivity trends were regressed against a time series of the number of frost days, 2000-2016, yearly sums. Using the Corine Land Cover (CLC) 2000-2018 series, only those grid cells were considered in this analysis where the CLC layers indicated no land use change between 2000-2018.

The dependent productivity variable and the explanatory variable of frosty days frequency were normalised and detrended before the regression runs. Significance of the regression coefficient was measured as p < 0.1. Due to standardizing all variables results are presented in standardized regression coefficients that show the change in the dependent variable measured in standard deviations.

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EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
information.png Owners:
European Environment Agency (EEA)
information.png Figure type:
Graph

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Based on data

Data Vegetation productivity 2000-2016 The raster files are the above ground vegetation productivity time-series and the derived linear trend for the period 2000-2016.The data set addresses trends in land surface productivity derived from remote sensing observed time series of vegetation indices. The vegetation index used in the indicator is the Plant Phenology Index (PPI, Jin and Eklundh, 2014). PPI is based on the MODIS Nadir BRDF-Adjusted Reflectance product (MODIS MCD43 NBAR. The product provides reflectance data for the MODIS “land” bands (1 - 7) adjusted using a bi-directional reflectance distribution function. This function models values as if they were collected from a nadir-view to remove so called cross-track illumination effects. The Plant Phenology Index (PPI) is a new vegetation index optimized for efficient monitoring of vegetation phenology. It is derived from radiative transfer solution using reflectance in visible-red (RED) and near-infrared (NIR) spectral domains. PPI is defined to have a linear relationship to the canopy green leaf area index (LAI) and its temporal pattern is strongly similar to the temporal pattern of gross primary productivity (GPP) estimated by flux towers at ground reference stations. PPI is less affected by presence of snow compared to commonly used vegetation indices such as Normalized Difference Vegetation Index (NDVI) or Enhanced Vegetation Index (EVI).The product is distributed with 500 m pixel size (MODIS Sinusoidal Grid) with 8-days compositing period.

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