Catia Arcangeli, MSc, PhD

Research Scientist

Catia Arcangeli

Email: catia.arcangeli@forestry.gsi.gov.uk

Tel: +44 (0)300 067 5600
Tel direct: +44 (0)300 067 5611
Fax: +44 (0)1420 23653

Address:
Forest Research
Alice Holt Lodge
Farnham
Surrey GU10 4LH
UK

Catia graduated in Physics at the University of Modena (Italy) in 1990 and in 1994 she completed her Ph.D. in Physics at the University of Ferrara (Italy).

From 1994 to 2001 she conducted research in the field of theoretical and computational solid state physics at the Department of Chemistry, University of Konstanz, Konstanz (Germany) (1994-1995), at the Max-Planck Institut für Festkörperforschung, Stuttgart (Germany) (1995-1999) and at the Department of Physics, University of Modena and Reggio Emilia, Modena (Italy) (1999-2001). Her research activity was mainly devoted to the development of ab-initio computational methods for electronic structure calculations and to the investigation of electronic properties of low-dimensional systems (semiconductors and metals surfaces, interfaces and multilayers).

Catia joined Forest Research in 2001 to work on the development of forest growth and yield models.

Current role

Research Scientist

Current programmes

Alternative management approaches

  • Development of an individual-tree growth model for forecasting tree growth in irregular and mixed species forest stands, such as those resulting from the application of continuous cover silviculture. This work is in collaboration with the Institute of Silviculture at the University of Natural Resources and Applied Life Science (BOKU), Vienna, Austria.

Modelling and forecasting forest resources (including software development)

  • Development of improved growth and yield models at the stand level for all main UK species, able to adapt to real stand conditions and variable silvicultural treatments and management regimes
  • Support the integration of the M1 growth and yield model at the core of the present forecast system
  • Advise on the application and implementation of the M1 growth and yield model.

Research areas


Main recent publications

Arcangeli, C., Wilkinson, M., Williams, M., Morgan, G., and Taylor, P. (2006). Modelling Canopy rainfall interception. Final Report Programme No. FF0304UK01 “Forest Focus – UK 2003-2004” Request No. UK7 – An evaluation of the benefit of increased sampling of trees and forest canopy rainfall interception to improve modelling of catchment water dynamics.

Arcangeli, C., Matthews, R.W., Knowles, L. and Kimberley M. (2006). Modelling changes in stand stocking and production from thinnings under different silvicultural regimes. In: Reynolds, Keith M., (ed). (2006).  Sustainable forestry in theory and practice: recent advances in inventory and monitoring, statistics and modeling, information and knowledge management, and policy science , Gen. Tech. Rep. PNW-GTR-688. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. [CD-ROM]. IUFRO conference on Sustainable Forestry, 5-8 April 2005.

Evans, S.P., Randle, T., Henshall, P., Arcangeli, C., Pellenq, J., Lafont, S. and Vials, C. (2004). Recent advances in mechanistic modelling of forest stands and catchments, Forest Research Annual Report 2003-2004.

Evans, S.P., Randle, T., Henshall, P., Arcangeli, C., Pellenq, J., Lafont, S. and Vials, C. (2004). Recent advances in mechanistic modelling of forest stands and catchments, Forest Research Annual Report 2003-2004.

Monastra, S., Manghi, F., Rozzi, C. A., Arcangeli, C., Wetli, E., Neff, H.-J., Greber, T. and Osterwalder, J. (2002). Quenching of majority-channel  quasiparticle excitation in Cobalt. Phys. Rev. Lett. 88.

Tank, R.W. and Arcangeli, C. (2000). An Introduction to third-generation LMTO method. Physica Status Solidi (B) 217 89-130.

Springborg, M. and Arcangeli, C.  (2000). Charged trans-poyacetylene: a density functional study. J. Mol. Struct. (TheoChem)  531 211-222.