M
Mathew Williams
Researcher at University of Edinburgh
Publications - 283
Citations - 16393
Mathew Williams is an academic researcher from University of Edinburgh. The author has contributed to research in topics: Leaf area index & Eddy covariance. The author has an hindex of 62, co-authored 265 publications receiving 13793 citations. Previous affiliations of Mathew Williams include Marine Biological Laboratory & Natural Environment Research Council.
Papers
More filters
Journal ArticleDOI
Upscaling leaf area index in an Arctic landscape through multiscale observations
TL;DR: In this article, the authors describe a series of measurements to quantify the spatial distribution of LAI in a sub-Arctic landscape and then describe the upscaling process and its associated errors.
Journal ArticleDOI
Seasonal bryophyte productivity in the sub-Arctic: a comparison with vascular plants
Lorna E. Street,Paul C. Stoy,Martin Sommerkorn,Benjamin J. Fletcher,Victoria L. Sloan,Timothy C. Hill,Mathew Williams +6 more
TL;DR: This study implies that models of C dynamics in the Arctic must include a bryophyte component if they are intended to predict the effects in the timing of the growing season, or of changes in vegetation composition, on Arctic C balance, and finds that seasonal changes in brysophyte photosynthetic capacity are important in determining ΣPB for both bryphyte species.
Journal ArticleDOI
Global evaluation of gross primary productivity in the JULES land surface model v3.4.1
Darren Slevin,Simon F. B. Tett,Jean-François Exbrayat,A. Anthony Bloom,A. Anthony Bloom,Mathew Williams +5 more
TL;DR: In this paper, the authors evaluated the ability of the JULES land surface model (LSM) to simulate gross primary productivity (GPP) on regional and global scales for 2001-2010.
Journal ArticleDOI
Forest loss maps from regional satellite monitoring systematically underestimate deforestation in two rapidly changing parts of the Amazon
TL;DR: In this paper, the authors demonstrate that Global Forest Watch (GFW) provides robust indicators of forest loss at least for larger-scale forest change, but under-predicts losses driven by small-scale disturbances (< 2 ha), even though these are much larger than its minimum mapping unit (0.09 ha).
Book ChapterDOI
Leaf to Landscape
TL;DR: Diverse adaptations to permit photosynthetic carbon assimilation and utilization at the leaf and canopy level among different environments, as well as the synchronization of downstream metabolic processing of this carbon for growth and other functions, can be considered important drivers of biological diversity from a functional perspective.