Abstract
The Net Ecosystem Exchange describes the net carbon dioxide flux between an ecosystem and the atmosphere and is a key quantity in climate change studies and in political negotiations. This paper provides a spatio-temporal statistical framework, which is able to infer the Net Ecosystem Exchange from remotely-sensed carbon dioxide ground concentrations together with data on the Normalized Difference Vegetation Index, the Gross Primary Production and the land cover classification. The model is based on spatial and temporal latent random effects, that act as space–time varying coefficients, which allows for a flexible modeling of the spatio-temporal auto- and cross-correlation structure. The intra- and inter-annual variations of the Net Ecosystem Exchange are evaluated and dynamic maps are provided on a nearly global grid and in intervals of 16 days.
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Notes
Downloaded at http://glcf.umd.edu/data/lc/.
The coefficients for PW and NDVI have been pruned in the final model due to their insignificance.
Grid cells with missing data in the covariates have been removed.
The global average cross-validation RMSE was 0.67 and the prediction error computed as in Eq. (11) amounted to 0.38.
A map containing the locations of the measurement locations can be obtained at http://fluxnet.ornl.gov/maps-graphics.
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Vetter, P., Schmid, W. & Schwarze, R. Spatio-temporal statistical analysis of the carbon budget of the terrestrial ecosystem. Stat Methods Appl 25, 143–161 (2016). https://doi.org/10.1007/s10260-015-0342-7
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DOI: https://doi.org/10.1007/s10260-015-0342-7