Effects of inhomogeneities within the flux footprint on the interpretation of seasonal, annual, and interannual ecosystem carbon exchange

A Griebel; LT Bennett; D Metzen; J Cleverly; G Burba; SK Arndt

Journal article

Effects of inhomogeneities within the flux footprint on the interpretation of seasonal, annual, and interannual ecosystem carbon exchange

A Griebel, LT Bennett, D Metzen, J Cleverly, G Burba, SK Arndt

Agricultural and Forest Meteorology | Published : 2016

DOI: 10.1016/j.agrformet.2016.02.002

Abstract

Carbon flux measurements using the eddy covariance method rely on several assumptions, including reasonably flat terrain and homogeneous vegetation cover. An increasing number of flux sites are located over partially or completely inhomogeneous areas, but the implication of such inhomogeneities on carbon budgets, and particularly the influence of year-to-year variations in wind patterns on annual budgets, remains unclear. Moreover, directional homogeneity of climatic drivers of carbon fluxes is often assumed, although climatic variables vary with wind direction at many locations. In this study, we examined the directional flux characteristics, incorporating the combined effects of variable s..

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University of Melbourne Researchers

Lauren Bennett Author

Stefan Arndt Author

Related Projects (2)

IFER CHILD PROJECT: CARBON - UNDERSTANDING & MANAGING VICTORIA'S FOREST CARBON 2013-16

MEGA-MOBILE ECOSYSTEM GAS-EXCHANGE ANALYSER FOR AUSTRALIAN LANDSCAPES

This Mobile Ecosystem Gas-exchange Analyser will be able to continuously monitor water, energy, carbon and nitrogen exchange in a multitude ..

Grants

Awarded by Department of Environment, Land, Water and Planning, State Government of Victoria

Funding Acknowledgements

The study was supported by the integrated Forest Ecosystem Research program, which is funded by the Victorian Department of Environment, Land, Water and Planning, and by the Australian Research Council (ARC) grant LE0882936. The Wombat Flux site is supported by Australia's Terrestrial Ecosystem Research Network (TERN) and is part of the TERN OzFlux and Supersite networks. We are grateful for the ongoing support of the OzFlux community and the efforts from numerous individuals who were involved in data collection and data quality control, with special thanks to Peter Isaak, Eva van Gorsel and Jason Beringer. Further, we would like to thank Ian McHugh and Darren Hocking from Monash University for their excellent technical assistance, as well as Carlslaw & Ropkins for the openair R package, and two anonymous reviewers for substantially improving the manuscript. The authors declare no conflict of interest.