Articles | Volume 16, issue 24
https://doi.org/10.5194/bg-16-4851-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-16-4851-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Global biosphere–climate interaction: a causal appraisal of observations and models over multiple temporal scales
Jeroen Claessen
CORRESPONDING AUTHOR
Laboratory of Hydrology and Water Management, Department of Environment, Ghent University, Ghent, Belgium
Annalisa Molini
Masdar Institute, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
Brecht Martens
Laboratory of Hydrology and Water Management, Department of Environment, Ghent University, Ghent, Belgium
Matteo Detto
Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, USA
Matthias Demuzere
Laboratory of Hydrology and Water Management, Department of Environment, Ghent University, Ghent, Belgium
Department of Geography, Ruhr-University Bochum, Bochum, Germany
Diego G. Miralles
Laboratory of Hydrology and Water Management, Department of Environment, Ghent University, Ghent, Belgium
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Cited
13 citations as recorded by crossref.
- Estimating causal networks in biosphere–atmosphere interaction with the PCMCI approach C. Krich et al. 10.5194/bg-17-1033-2020
- Atmospheric heat and moisture transport to energy‐ and water‐limited ecosystems D. Schumacher et al. 10.1111/nyas.14357
- A Data‐Driven Global Soil Heterotrophic Respiration Dataset and the Drivers of Its Inter‐Annual Variability Y. Yao et al. 10.1029/2020GB006918
- A Simple Algorithm for Deriving an NDVI-Based Index Compatible between GEO and LEO Sensors: Capabilities and Limitations in Japan K. Obata & H. Yoshioka 10.3390/rs12152417
- An improved dynamic latent variable regression model for fault diagnosis and causal analysis H. Zhang & Q. Zhu 10.1002/cjce.24757
- Revisiting Global Vegetation Controls Using Multi‐Layer Soil Moisture W. Li et al. 10.1029/2021GL092856
- Isolating the contribution of land cover change to concurrent soil drought and atmospheric aridity events in Loess Plateau, China S. Zhang et al. 10.1016/j.catena.2025.108740
- Changes in land evapotranspiration under vegetation greening over the Arctic: Patterns, causes and temperature effects L. Yu et al. 10.1016/j.jhydrol.2025.132996
- Functional convergence of biosphere–atmosphere interactions in response to meteorological conditions C. Krich et al. 10.5194/bg-18-2379-2021
- Land‐Atmosphere Drivers of Landscape‐Scale Plant Water Content Loss A. Feldman et al. 10.1029/2020GL090331
- Revealing climatic impacts on the temporal and spatial variation in vegetation activity across China: Sensitivity and contribution K. Jiao et al. 10.1016/j.accre.2021.04.006
- Time‐Scale Dependent Relations Between Earth Observation Based Proxies of Vegetation Productivity N. Linscheid et al. 10.1029/2021GL093285
- Water Stress Dominates 21st‐Century Tropical Land Carbon Uptake P. Levine et al. 10.1029/2023GB007702
13 citations as recorded by crossref.
- Estimating causal networks in biosphere–atmosphere interaction with the PCMCI approach C. Krich et al. 10.5194/bg-17-1033-2020
- Atmospheric heat and moisture transport to energy‐ and water‐limited ecosystems D. Schumacher et al. 10.1111/nyas.14357
- A Data‐Driven Global Soil Heterotrophic Respiration Dataset and the Drivers of Its Inter‐Annual Variability Y. Yao et al. 10.1029/2020GB006918
- A Simple Algorithm for Deriving an NDVI-Based Index Compatible between GEO and LEO Sensors: Capabilities and Limitations in Japan K. Obata & H. Yoshioka 10.3390/rs12152417
- An improved dynamic latent variable regression model for fault diagnosis and causal analysis H. Zhang & Q. Zhu 10.1002/cjce.24757
- Revisiting Global Vegetation Controls Using Multi‐Layer Soil Moisture W. Li et al. 10.1029/2021GL092856
- Isolating the contribution of land cover change to concurrent soil drought and atmospheric aridity events in Loess Plateau, China S. Zhang et al. 10.1016/j.catena.2025.108740
- Changes in land evapotranspiration under vegetation greening over the Arctic: Patterns, causes and temperature effects L. Yu et al. 10.1016/j.jhydrol.2025.132996
- Functional convergence of biosphere–atmosphere interactions in response to meteorological conditions C. Krich et al. 10.5194/bg-18-2379-2021
- Land‐Atmosphere Drivers of Landscape‐Scale Plant Water Content Loss A. Feldman et al. 10.1029/2020GL090331
- Revealing climatic impacts on the temporal and spatial variation in vegetation activity across China: Sensitivity and contribution K. Jiao et al. 10.1016/j.accre.2021.04.006
- Time‐Scale Dependent Relations Between Earth Observation Based Proxies of Vegetation Productivity N. Linscheid et al. 10.1029/2021GL093285
- Water Stress Dominates 21st‐Century Tropical Land Carbon Uptake P. Levine et al. 10.1029/2023GB007702
Latest update: 08 Mar 2025
Short summary
Bidirectional interactions between vegetation and climate are unraveled over short (monthly) and long (inter-annual) temporal scales. Analyses use a novel causal inference method based on wavelet theory. The performance of climate models at representing these interactions is benchmarked against satellite data. Climate models can reproduce the overall climate controls on vegetation at all temporal scales, while their performance at representing biophysical feedbacks on climate is less adequate.
Bidirectional interactions between vegetation and climate are unraveled over short (monthly) and...
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