R
Robert Clement
Researcher at University of Edinburgh
Publications - 64
Citations - 12731
Robert Clement is an academic researcher from University of Edinburgh. The author has contributed to research in topics: Eddy covariance & Sensible heat. The author has an hindex of 40, co-authored 61 publications receiving 11975 citations. Previous affiliations of Robert Clement include University of Exeter & University of Nebraska–Lincoln.
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Carbon dioxide exchange of a Sitka spruce plantation in Scotland over five years
TL;DR: In this article, the authors presented the carbon exchange measurement methodology, results, and modeling associated with a five-year experiment at a plantation forest in Scotland, UK, as part of a European initiative to develop and verify vegetation carbon exchange models.
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Quantifying landscape‐level methane fluxes in subarctic Finland using a multiscale approach
Iain P. Hartley,Timothy C. Hill,T. J. Wade,Robert Clement,John Moncrieff,A. Prieto-Blanco,Mathias Disney,Brian Huntley,Mathew Williams,Nicholas J K Howden,Philip A. Wookey,Robert Baxter +11 more
TL;DR: Given the strong temperature sensitivity of the dominant lawn fluxes, and the fact that lawns are unlikely to dry out, climate warming may substantially increase CH 4 emissions in northern Finland, and in aapa mire regions in general.
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Carbon balance gradient in European forests: should we doubt 'surprising' results? A reply to Piovesan & Adams
Paul G. Jarvis,A. J. Dolman,Ernst Detlef Schulze,Giorgio Matteucci,Andrew S. Kowalski,Andrew S. Kowalski,Reinhart Ceulemans,Corinna Rebmann,Eddy Moors,André Granier,Patrick Gross,N.O. Jensen,Kim Pilegaard,Anders Lindroth,Achim Grelle,Ch. Bernhofer,Thomas Grünwald,Marc Aubinet,Timo Vesala,Üllar Rannik,Paul Berbigier,Denis Loustau,J. Guômundsson,A. Ibrom,K. Morgenstern,Robert Clement,John Moncrieff,Leonardo Montagnani,Stefano Minerbi,Riccardo Valentini +29 more
TL;DR: In this article, the authors respond to the Forum contribution by Piovesan & Adams (2000) who criticized the results obtained by the EUROFLUX network on carbon fluxes of several European forests.
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Stable gap-filling for longer eddy covariance data gaps: A globally validated machine-learning approach for carbon dioxide, water, and energy fluxes
TL;DR: Random Forest Robust (RFR) as mentioned in this paper can accommodate a wide range of data gap sizes, multiple flux types (i.e. CO2, water and energy fluxes).
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The utility of MODIS-sPRI for investigating the photosynthetic light-use efficiency in a Mediterranean deciduous forest
TL;DR: In this paper, the authors investigated the utility of MODIS-derived sPRI and its relationship to photosynthetic light-use efficiency (LUE) calculated from eddy covariance tower data.