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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- Carbon exchange of forest plantations: global patterns and biophysical drivers X. Tong et al. 10.1016/j.agrformet.2023.109379
- Long-term relative decline in evapotranspiration with increasing runoff on fractional land surfaces R. Wang et al. 10.5194/hess-25-3805-2021
- Water fluxes and energy partitioning over a Larix principis-rupprechtii plantation forest in a dryland mountain ecosystem, Northwest China C. Han et al. 10.1016/j.foreco.2024.122178
- Micrometeorological drivers affecting the variability of CO2 uptake in the Himalayan Oak and Pine dominated ecosystems: An assessment of causal relationships L. Khadke et al. 10.1016/j.jhydrol.2024.132333
- Assessment of Vegetation Drought Loss and Recovery in Central Asia Considering a Comprehensive Vegetation Index W. Han et al. 10.3390/rs16224189
- Ecological Responses to Climate Change and Human Activities in the Arid and Semi-Arid Regions of Xinjiang in China Y. Zhou et al. 10.3390/rs14163911
- Effects of the long-term rice expansion on ecosystem carbon budget in the typical agricultural area of Northeast China F. Zhao et al. 10.1016/j.spc.2024.11.027
- Divergent environmental responses of long-term variations in evapotranspiration over four grassland ecosystems in China based on eddy-covariance measurements H. Zheng et al. 10.1016/j.jhydrol.2023.130030
- The effect of afforestation on moist heat stress in Loess Plateau, China S. Zhang et al. 10.1016/j.ejrh.2022.101209
- Linking between Water Use Efficiency and Leaf Area Index Along an Aridity Gradient in Dryland Forests M. Dubinin et al. 10.2139/ssrn.4124944
- Dynamic relationships between gross primary production and energy partitioning in three different ecosystems based on eddy covariance time series analysis V. Cicuéndez et al. 10.3389/ffgc.2023.1017365
- Carbon and water vapor exchanges coupling for different irrigated and rainfed conditions on Andean potato agroecosystems F. Martínez-Maldonado et al. 10.1007/s00704-024-05034-1
- Multiple sources of uncertainties in satellite retrieval of terrestrial actual evapotranspiration M. Cao et al. 10.1016/j.jhydrol.2021.126642
- A satellite view of the exceptionally warm summer of 2022 over Europe J. Martins et al. 10.5194/nhess-24-1501-2024
- Net fluxes of broadband shortwave and photosynthetically active radiation complement NDVI and near infrared reflectance of vegetation to explain gross photosynthesis variability across ecosystems and climate K. Mallick et al. 10.1016/j.rse.2024.114123
- Improved estimation of global gross primary productivity during 1981–2020 using the optimized P model Z. Zhang et al. 10.1016/j.scitotenv.2022.156172
- Modelling evaporation with local, regional and global BROOK90 frameworks: importance of parameterization and forcing I. Vorobevskii et al. 10.5194/hess-26-3177-2022
- Pinus tabulaeformis Forests Have Higher Carbon Sequestration Potential Than Larix principis-rupprechtii Forests in a Dryland Mountain Ecosystem, Northwest China C. Han et al. 10.3390/f13050739
- Land Cover Control on the Drivers of Evaporation and Sensible Heat Fluxes: An Observation‐Based Synthesis for the Netherlands F. Jansen et al. 10.1029/2022WR034361
- Evaluation of Environmental Controls on Terrestrial Net Ecosystem Exchange of CO2: A Global Perspective From the FLUXNET Sites Z. Kong et al. 10.1029/2022JD037217
- Satellite-based assessment of water use and leaf area efficiencies of dryland conifer forests along an aridity gradient M. Dubinin et al. 10.1016/j.scitotenv.2023.165977
- Understanding and reducing the uncertainties of land surface energy flux partitioning within CMIP6 land models K. Yuan et al. 10.1016/j.agrformet.2022.108920
- Greening-induced increase in evapotranspiration over Eurasia offset by CO2-induced vegetational stomatal closure X. Zhang et al. 10.1088/1748-9326/ac3532
- Satellite remote sensing reveals the footprint of biodiversity on multiple ecosystem functions across the NEON eddy covariance network U. Gomarasca et al. 10.1088/2752-664X/ad87f9
Latest update: 26 Dec 2024
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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