Matthew Upson
Cranfield University
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Featured researches published by Matthew Upson.
Agroforestry Systems | 2018
J.H.N. Palma; Josep Crous-Duran; Anil Graves; S. García de Jalón; Matthew Upson; T.S. Oliveira; Joana Amaral Paulo; N. Ferreiro-Domínguez; Gerardo Moreno; Paul J. Burgess
Agroforestry combines perennial woody elements (e.g. trees) with an agricultural understory (e.g. wheat, pasture) which can also potentially be used by a livestock component. In recent decades, modern agroforestry systems have been proposed at European level as land use alternatives for conventional agricultural systems. The potential range of benefits that modern agroforestry systems can provide includes farm product diversification (food and timber), soil and biodiversity conservation and carbon sequestration, both in woody biomass and the soil. Whilst typically these include benefits such as food and timber provision, potentially, there are benefits in the form of carbon sequestration, both in woody biomass and in the soil. Quantifying the effect of agroforestry systems on soil carbon is important because it is one means by which atmospheric carbon can be sequestered in order to reduce global warming. However, experimental systems that can combine the different alternative features of agroforestry systems are difficult to implement and long-term. For this reason, models are needed to explore these alternatives, in order to determine what benefits different combinations of trees and understory might provide in agroforestry systems. This paper describes the integration of the widely used soil carbon model RothC, a model simulating soil organic carbon turnover, into Yield-SAFE, a parameter sparse model to estimate aboveground biomass in agroforestry systems. The improvement of the Yield-SAFE model focused on the estimation of input plant material into soil (i.e. leaf fall and root mortality) while maintaining the original aspiration for a simple conceptualization of agroforestry modeling, but allowing to feed inputs to a soil carbon module based on RothC. Validation simulations show that the combined model gives predictions consistent with observed data for both SOC dynamics and tree leaf fall. Two case study systems are examined: a cork oak system in South Portugal and a poplar system in the UK, in current and future climate.
Plant and Soil | 2013
Matthew Upson; Paul J. Burgess
Geoderma | 2016
Matthew Upson; Paul J. Burgess; J. I. L. Morison
Agroforestry Systems | 2018
Dario A. Fornara; Rodrigo Olave; Paul J. Burgess; Aude Delmer; Matthew Upson; Jim McAdam
AGroFORestry that Will Advance Rural Development | 2015
Paul J. Burgess; Josep Crous-Duran; M. den Herder; C. Dupraz; N. Fagerholm; D. Freese; K. Garnett; Anil Graves; John E. Hermansen; F. Liagre; Jaconette Mirck; Gerardo Moreno; M. R. Mosquera-Losada; J.H.N. Palma; A. Pantera; Tobias Plieninger; Matthew Upson
Archive | 2015
Michael den Herder; Paul J. Burgess; M. R. Mosquera-Losada; Tibor Hartel; Matthew Upson; Iida Viholainen; Adolfo Rosati; Contributors Nathalie Corroyer; John E. Hermansen; Jaconette Mirck; J.H.N. Palma; A. Pantera; Vasilios P. Papanastasis; Tobias Plieninger; Andrea Vityi; Jeroen Watté
Archive | 2016
J.H.N. Palma; Anil Graves; Josep Crous-Duran; Matthew Upson; Joana Amaral Paulo; T.S. Oliveira; S. Garcia de Jálon; Paul J. Burgess
Archive | 2015
Matthew Upson; Paul J. Burgess
Archive | 2015
J.H.N. Palma; Anil Graves; Josep Crous-Duran; Joana Amaral Paulo; Matthew Upson; Christian Dupraz; Marie Gosme; Isabelle Lecomte; Haythem Ben Touhami; Delphine Meziere; Paul J. Burgess
Archive | 2015
Matthew Upson; Paul J. Burgess