Effect of land use change on vegetation productivity

Figure Created 27 Feb 2020 Published 03 Mar 2020 Last modified 03 Mar 2020

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The chart shows the vegetation productivity changes (%) over areas with land use change in the period 2000-2018. The values are broken down by major land use change drivers.

https://www.eea.europa.eu/data-and-maps/figures/effect-of-land-use-change/clim009-fig04-114330-effectoflandusechange.eps/image_large

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Metadata

Temporal coverage:: 2000-2016
Tags:: land use , vegetation productivity
Geographic coverage:: Albania , Austria , Belgium , Bosnia and Herzegovina , Bulgaria , Croatia , Cyprus , Czechia , Denmark , Estonia , Finland , France , Germany , Greece , Hungary , Iceland , Ireland , Italy , Kosovo , Latvia , Liechtenstein , Lithuania , Luxembourg , Malta , Montenegro , Netherlands , North Macedonia , Norway , Poland , Portugal , Romania , Serbia , Slovakia , Slovenia , Spain , Sweden , Switzerland , Turkey , United Kingdom
Methodology:: Productivity time series 2000-2016 (one value per year) over pixels with significant (p < 0.1) productivity trends. Using the Corine Land Cover (CLC) 2000-2018 series, only those grid cells were considered in this analysis where the CLC layers indicated land use change between 2000-2018. Trends are expressed in percentage change based on the 2000 value of the fitted linear model.
Rights:: 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).
Owners:: European Environment Agency (EEA)
Figure type:: Graph

Related content

Based on 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.

Used in indicators

Land use drivers of vegetation productivity change.

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