Examining the link between vegetation leaf area and land–atmosphere exchange of water, energy, and carbon fluxes using FLUXNET data
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Published:2020-09-04
Issue:17
Volume:17
Page:4443-4457
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ISSN:1726-4189
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Container-title:Biogeosciences
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language:en
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Short-container-title:Biogeosciences
Author:
Hoek van Dijke Anne J.ORCID, Mallick KaniskaORCID, Schlerf Martin, Machwitz Miriam, Herold Martin, Teuling Adriaan J.ORCID
Abstract
Abstract. Vegetation regulates the exchange of water, energy, and carbon fluxes
between the land and the atmosphere. This regulation of surface fluxes
differs with vegetation type and climate, but the effect of vegetation on
surface fluxes is not well understood. A better knowledge of how and when
vegetation influences surface fluxes could improve climate models and the
extrapolation of ground-based water, energy, and carbon fluxes. We aim to
study the link between vegetation and surface fluxes by combining the yearly
average MODIS leaf area index (LAI) with flux tower measurements of water
(latent heat), energy (sensible heat), and carbon (gross primary
productivity and net ecosystem exchange). We show that the correlation
of the LAI with water and energy fluxes depends on the vegetation type and
aridity. Under water-limited conditions, the link between the LAI and the water and
energy fluxes is strong, which is in line with a strong stomatal or
vegetation control found in earlier studies. In energy-limited forest we
found no link between the LAI and water and energy fluxes. In contrast to water
and energy fluxes, we found a strong spatial correlation between the LAI and
gross primary productivity that was independent of vegetation type and
aridity. This study provides insight into the link between vegetation and
surface fluxes. It indicates that for modelling or extrapolating surface
fluxes, the LAI can be useful in savanna and grassland, but it is only of
limited use in deciduous broadleaf forest and evergreen needleleaf forest to
model variability in water and energy fluxes.
Publisher
Copernicus GmbH
Subject
Earth-Surface Processes,Ecology, Evolution, Behavior and Systematics
Reference83 articles.
1. Asner, G. P., Scurlock, J. M. O., and Hicke, J. A.: Global synthesis of leaf
area index observations: implications for ecological and remote sensing
studies, Global Ecol. Biogeogr., 12, 191–205,
https://doi.org/10.1046/j.1466-822X.2003.00026.x, 2003. 2. Baldocchi, D., Falge, E., Gu, L., Olson, R., Hollinger, D., Running, S.,
Anthoni, P., Bernhofer, C., Davis, K., Evans, R., Fuentes, J., Goldstein,
A., Katul, G., Law, B., Lee, X., Malhi, Y., Meyers, T., Munger, W., Oechel,
W., Paw, U. K. T., Pilegaard, K., Schmid, H. P., Valentini, R., Verma, S.,
Vesala, T., Wilson, K., and Wofsy, S.: FLUXNET: A New Tool to Study the
Temporal and Spatial Variability of Ecosystem-Scale Carbon Dioxide, Water
Vapor, and Energy Flux Densities, B. Am. Meteorol. Soc., 82, 2415–2434,
https://doi.org/10.1175/1520-0477(2001)082<2415:FANTTS>2.3.CO;2, 2001. 3. Barcza, Z., Kern, A., Haszpra, L., and Kljun, N.: Spatial representativeness
of tall tower eddy covariance measurements using remote sensing and
footprint analysis, Agr. Forest Meteorol., 149, 795–807,
https://doi.org/10.1016/j.agrformet.2008.10.021, 2009. 4. Bates, C. G. and Henry, A. J.: Second phase of streamflow experiment at
Wagon Wheel Gap, Colo, Mon. Weather Rev., 56, 79–80,
https://doi.org/10.1175/1520-0493(1928)56<79:sposea>2.0.co;2, 1928. 5. Beer, C., Reichstein, M., Ciais, P., Farquhar, G. D., and Papale, D.: Mean
annual GPP of Europe derived from its water balance, Geophys. Res. Lett.,
34, L05401, https://doi.org/10.1029/2006gl029006, 2007.
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