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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.

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TRY plant trait database : Enhanced coverage and open access

Jens Kattge, +754 more
- 01 Jan 2020 - 
TL;DR: The extent of the trait data compiled in TRY is evaluated and emerging patterns of data coverage and representativeness are analyzed to conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements.
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Net primary production of forests: a constant fraction of gross primary production?

Richard H. Waring, +2 more
- 01 Feb 1998 - 
TL;DR: The constancy of the NPP/GPP ratio supports the possibility of greatly simplifying forest growth models and provides an incentive to renew efforts to understand the environmental factors affecting partitioning of NPP above and belowground.
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Modelling the soil-plant-atmosphere continuum in a Quercus-Acer stand at Harvard Forest : the regulation of stomatal conductance by light, nitrogen and soil/plant hydraulic properties

Mathew Williams, +13 more
- 01 Aug 1996 - 
TL;DR: In this paper, a multi-layer model of C 3canopy processes that effectively simulates hourly CO 2 and latent energy (LE) fluxes in a mixed deciduous Quercus-Acer (oak-maple) stand in central Massachusetts, USA is described.
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An improved analysis of forest carbon dynamics using data assimilation

Mathew Williams, +4 more
- 01 Jan 2005 - 
TL;DR: In this paper, an ensemble Kalman filter (EnKF) was used to link a series of measurements with a simple box model of C transformations, and the assimilation process reduced the uncertainties associated with using data or model alone and the forecasts of NEE were statistically unbiased estimates.
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Long‐term ecosystem level experiments at Toolik Lake, Alaska, and at Abisko, Northern Sweden: generalizations and differences in ecosystem and plant type responses to global change

M.T. van Wijk, +16 more
- 01 Jan 2004 - 
TL;DR: In this paper, a meta-analysis performed on the results of long-term ecosystem-level experiments near Toolik Lake, Alaska, and Abisko, Sweden was performed to quantified aboveground biomass responses of different arctic and subarctic ecosystems to experimental fertilization, warming and shading.