Articles | Volume 10, issue 5
https://doi.org/10.5194/gmd-10-1945-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-10-1945-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
A non-linear Granger-causality framework to investigate climate–vegetation dynamics
Christina Papagiannopoulou
CORRESPONDING AUTHOR
Depart. of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Ghent, Belgium
Diego G. Miralles
Laboratory of Hydrology and Water Management, Ghent University, Ghent, Belgium
Depart. of Earth Sciences, VU University Amsterdam, Amsterdam, the Netherlands
Stijn Decubber
Depart. of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Ghent, Belgium
Matthias Demuzere
Laboratory of Hydrology and Water Management, Ghent University, Ghent, Belgium
Niko E. C. Verhoest
Laboratory of Hydrology and Water Management, Ghent University, Ghent, Belgium
Wouter A. Dorigo
Depart. of Geodesy and Geo-Information, Vienna University of Technology, Vienna, Austria
Willem Waegeman
Depart. of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Ghent, Belgium
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- A Regional Earth System Data Lab for Understanding Ecosystem Dynamics: An Example from Tropical South America L. Estupinan-Suarez et al. 10.3389/feart.2021.613395
Latest update: 13 Nov 2024
Short summary
Global satellite observations provide a means to unravel the influence of climate on vegetation. Common statistical methods used to study the relationships between climate and vegetation are often too simplistic to capture the complexity of these relationships. Here, we present a novel causality framework that includes data fusion from various databases, time series decomposition, and machine learning techniques. Results highlight the highly non-linear nature of climate–vegetation interactions.
Global satellite observations provide a means to unravel the influence of climate on vegetation....