Articles | Volume 17, issue 17
https://doi.org/10.5194/bg-17-4443-2020
© Author(s) 2020. 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-17-4443-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
04 Sep 2020
Research article |
| 04 Sep 2020
| 04 Sep 2020
Examining the link between vegetation leaf area and land–atmosphere exchange of water, energy, and carbon fluxes using FLUXNET data
Anne J. Hoek van Dijke
CORRESPONDING AUTHOR
Remote Sensing and Natural Resources Modelling, ERIN Department,
Luxembourg Institute of Science and Technology (LIST), Belvaux, Luxembourg
Laboratory of Geo-Information Science and Remote Sensing, Wageningen
University & Research, Wageningen, the Netherlands
Hydrology and Quantitative Water Management Group, Wageningen
University & Research, Wageningen, the Netherlands
Kaniska Mallick
Remote Sensing and Natural Resources Modelling, ERIN Department,
Luxembourg Institute of Science and Technology (LIST), Belvaux, Luxembourg
Martin Schlerf
Remote Sensing and Natural Resources Modelling, ERIN Department,
Luxembourg Institute of Science and Technology (LIST), Belvaux, Luxembourg
Miriam Machwitz
Remote Sensing and Natural Resources Modelling, ERIN Department,
Luxembourg Institute of Science and Technology (LIST), Belvaux, Luxembourg
Martin Herold
Laboratory of Geo-Information Science and Remote Sensing, Wageningen
University & Research, Wageningen, the Netherlands
Adriaan J. Teuling
Hydrology and Quantitative Water Management Group, Wageningen
University & Research, Wageningen, the Netherlands
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Peter T. La Follette, Adriaan J. Teuling, Nans Addor, Martyn Clark, Koen Jansen, and Lieke A. Melsen
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Maurizio Santoro, Oliver Cartus, Nuno Carvalhais, Danaë M. A. Rozendaal, Valerio Avitabile, Arnan Araza, Sytze de Bruin, Martin Herold, Shaun Quegan, Pedro Rodríguez-Veiga, Heiko Balzter, João Carreiras, Dmitry Schepaschenko, Mikhail Korets, Masanobu Shimada, Takuya Itoh, Álvaro Moreno Martínez, Jura Cavlovic, Roberto Cazzolla Gatti, Polyanna da Conceição Bispo, Nasheta Dewnath, Nicolas Labrière, Jingjing Liang, Jeremy Lindsell, Edward T. A. Mitchard, Alexandra Morel, Ana Maria Pacheco Pascagaza, Casey M. Ryan, Ferry Slik, Gaia Vaglio Laurin, Hans Verbeeck, Arief Wijaya, and Simon Willcock
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Jolijn van Engelenburg, Erik van Slobbe, Adriaan J. Teuling, Remko Uijlenhoet, and Petra Hellegers
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Theresa C. van Hateren, Marco Chini, Patrick Matgen, and Adriaan J. Teuling
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-583, https://doi.org/10.5194/hess-2020-583, 2020
Manuscript not accepted for further review
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Jasper Foets, Carlos E. Wetzel, Núria Martínez-Carreras, Adriaan J. Teuling, Jean-François Iffly, and Laurent Pfister
Hydrol. Earth Syst. Sci., 24, 4709–4725, https://doi.org/10.5194/hess-24-4709-2020, https://doi.org/10.5194/hess-24-4709-2020, 2020
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Diatoms (microscopic algae) are regarded as useful tracers in catchment hydrology. However, diatom analysis is labour-intensive; therefore, only a limited number of samples can be analysed. To reduce this number, we explored the potential for a time-integrated mass-flux sampler to provide a representative sample of the diatom assemblage for a whole storm run-off event. Our results indicate that the Phillips sampler did indeed sample representative communities during two of the three events.
Caspar T. J. Roebroek, Lieke A. Melsen, Anne J. Hoek van Dijke, Ying Fan, and Adriaan J. Teuling
Hydrol. Earth Syst. Sci., 24, 4625–4639, https://doi.org/10.5194/hess-24-4625-2020, https://doi.org/10.5194/hess-24-4625-2020, 2020
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Vegetation is a principal component in the Earth system models that are used for weather, climate and other environmental predictions. Water is one of the main drivers of vegetation; however, the global distribution of how water influences vegetation is not well understood. This study looks at spatial patterns of photosynthesis and water sources (rain and groundwater) to obtain a first understanding of water access and limitations for the growth of global forests (proxy for natural vegetation).
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https://doi.org/10.3390/s90402719, 2009.
Short summary
We investigated the link between the vegetation leaf area index (LAI) and the land–atmosphere exchange of water, energy, and carbon fluxes. We show that the correlation between the LAI and water and energy fluxes depends on the vegetation type and aridity. For carbon fluxes, however, the correlation with the LAI was strong and independent of vegetation and aridity. This study provides insight into when the vegetation LAI can be used to model or extrapolate land–atmosphere fluxes.
We investigated the link between the vegetation leaf area index (LAI) and the land–atmosphere...
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