GHG Research Scientist
Tel: +44 (0)131 0300 5900
Tel direct: +44 (0)300 067 5999
Fax: +44 (0)131 445 5124
Northern Research Station
Midlothian EH25 9SY
Georgios studied for a BSc in Forestry with the Department of Forestry of the TEI of Kavala, Greece (1996-2000). He then studied for an MSc in Resource Management (2001-2002) and a PhD (2002-2007) in Forest Ecophysiology and process-based modelling with the University of Edinburgh. He first joint Forest Research in 2006 as a junior researcher for a period of four years working on modelling climate change adaptation on ecological species suitability and process-based modelling of forest carbon sequestration. From 2010 to 2013 Georgios did his post-doctoral studies at the University of Edinburgh working on modelling soil-plant-atmosphere interaction in Arctic tundra. In 2013 Georgios re-joined Forest Research initially for one year and a half working as Tree Ecophysiologist for the EU project ThermoLiDAR, supporting ecophysiological data collection and process-based modelling. Since February 2015 Georgios is working for the GREENHOUSE project as a Greenhouse gases Research Scientists.
GHG Research Scientist
Providing scientific input to the GREENHOUSE project and Managing Forest Carbon programme. Organising and managing field and laboratory work on the impacts of forestry practises on site carbon flux.
- Overall responsibility for site management and maintenance of an eddy covariance flux tower at Harwood forest, Northumberland. Data QA and analysis.
- Oversight of maintaining and servicing equipment.
- Support process-based modelling activities within the ManForC group and Climate Change science program.
- Associate member of the Institute of Chartered Foresters
Main recent publications
Lonsdale, J., Xenakis, G., Perks, M. Mencuccini, M. (2015). A comparison of methods for quantifying standing carbon in UK Scots pine forests. iForest, doi: 10.3832/ifor1403-008.
Xenakis, G. and Williams, M., (2014). Comparing microbial and chemical kinetics for modelling soil organic carbon decomposition using the DecoChem v1.0 and DecoBio v1.0 models, Geoscientific Model Development. 7, 1519-1533.
Black, K., Creamer, R., Xenakis, G., and Cook, S., (2014). Improving forest soil carbon models using spatial data and GIS approaches. Geoderma, 232-234, 487-499.
Xenakis, G., Ray, D., Mencuccini, M., (2011). Effects of climate and site characteristics on Scots pine growth in Scotland. European Journal of Forest Research. 131, 427-439.
Black, K., Xenakis, G., Ray, D. (2010). Climate change impacts and adaptive strategies. Irish Forestry, 67, 66 – 85.
Minunno, F., Xenakis, G., Perks, M. and Mencuccini, M. (2010). Calibration and validation of a simplified process-based model for the prediction of carbon balance of Scottish Sitka spruce plantations. Canadian Journal of Forest Research, 40, 2411-2426.
Ray, D., Xenakis, G., Tene, A. and Black, K. (2009). Developing a site classification system to assess the impact of climate change on species selection in Ireland. Irish Forestry, 66, 101 - 122.
Ray, D., Xenakis, G., Semmler, T. and Black, K. (2008). The impact of climate change on forests in Ireland and some options for adaptation. Proceedings of the conference “Forestry, Carbon and Climate Change – local and international perspectives”. 19 September 2007, Glenview Hotel, Co Wicklow, Ireland, COFORD
Xenakis, G., Ray, D., Mencuccini, M., (2008). Sensitivity and uncertainty analysis from a coupled 3-PG and soil organic matter decomposition model. Ecological Modelling, 219, 1 - 16
Xenakis, G., 2007. Assessment of carbon sequestration and timber production of Scots pine across Scotland using the process-based model 3-PGN. PhD thesis. The University of Edinburgh.