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

Catia’s research background is in theoretical and computational solid state physics. She obtained an MSc in Physics from the University of Modena (Italy) in 1990 and a PhD in Physics from the University of Ferrara (Italy) in 1994. From 1994 to 2001 she conducted research 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). During these years her research activity was mainly devoted to the development of ab-initio computational methods for electronic structure calculations and the investigation of the electronic properties of low-dimensional systems.

Current role

Research Scientist

Catia’s main research activities are related to the development of mathematical models of forest structure and growth. She is currently working on the 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. 

She is the main developer of the stand level M1 growth and yield model, which underpins the current GB Forecast System and FR’s forest carbon accounting models. She also contributes to the development of empirical relationships describing fundamental tree properties. While her main current responsibilities are within the growth and yield modelling research area, she is also interested in supporting the development of process-based models and in the past she has led a modelling study of rainfall interception in conifer and broadleaf canopies.

Catia is also contributing to the formulation of a Forest Research Strategy for Growth, Yield and Carbon modelling research and development and supporting data acquisition.

Current projects

Modelling mixed age and mixed species stands

Project leader

  • Development of mathematical models describing growth, mortality and effect of management interventions in complex stands.
  • Contribute to the design and establishment of a network of sample plots in uneven age and mixed species stands in support of model development.

Forest mensuration modelling and forecasting

Research scientist

  • Development of improved growth and yield models
  • Development of empirical models of tree properties
  • Forest ecosystem modelling
  • Data analysis

Main recent publications and knowledge exchange activities

Peer-reviewed journal articles

Arcangeli, C., Klopf, M., Hale, S. E., Jenkins, T.A.R. and  Hasenauer, H. (2014). The uniform height curve method for height-diameter modelling: an application to Sitka spruce in Britain. Forestry, 87, 177-186.

Monastra, S., Manghi, F., Rozzi, C., 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-polyacetylene: a density-functional study. J. Mol. Struct. (TheoChem) 531 211-222.

Project Reports

Matthews R. and Arcangeli C. (2016). Strategic review of tree and stand modelling research. Report to the Research Strategy Management Board, Forest Research, February 2016.

Arcangeli C., Matthews R. and Mackie E. (2015) Strategic review of tree and stand modelling research. Interim report to the Research Strategy Management Board, Forest Research, October 2015.

Mackie E., Arcangeli C. and Matthews R. (2015). Strategic review of mensuration sample plot data acquisition. Interim report to the Research Strategy Management Board, Forest Research, October 2015.

Lafont S., Arcangeli C., Hale S. and McKay H. (2008) Selection of an uneven-aged/ mixed species model for use in British forestry. Report to the Steering Group of the Modelling mixed aged and mixed species stands project, Forest Research.

Brewer A., Arcangeli C. and Baldwin M. (2007) Evaluation of the M1 growth and yield forestry model.  Summary Report, Forest Research.

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.

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.

Arcangeli, C. and Matthews, R. (2002). Report on thinning models. Summary report, Forest Research.

Books and Book Chapters

Arcangeli C., Matthews R.W., Knowles L. and Kimberley M. (2006). Modelling changes in stand stocking and production from thinnings under different silvicultural regimes. Proceeding of the Edinburgh 2005 IUFRO conference on “Sustainable forestry in theory and practice” Edinburgh, 6-8 April 2005.

Software and associated manuals

Hale, S., Jenkins, T. and Arcangeli, C. (2014) MOSES_GB v 1.0 – User Guide. Forest Research.

Jenkins, T., Arcangeli, C., Henshall, P. and Matthews, R. (2010) M1 Yield Model, Research Interface User Guide. Forest Research.

Scientific conferences

Bianchi, S., Hale, S., Arcangeli, C., Cahalan, C., Henshall, P., Kerr, G. and Jenkins, T. (2015), Preliminary Sitka spruce (Picea Sitchensis) early growth model for MOSES_GB.  Poster presented at the 2015 IUFRO Conference on “Ecology, silviculture and management of spruce species in mixed forests” Alberta, Canada, 11-13 August 2015.

Hale, S., Arcangeli, C., Jenkins, T., Klopf, M., Thurnher, C. and Hasenauer, H. (2012). MOSES_GB: a growth simulator for mixed age and mixes species forest stands in Britain. Poster presented at the Ediburgh 2012 IUFRO International Conference  on “Managing forests for ecosystems services: can spruce forests show the way?” Edinburgh, Scotland,  8-11 October 2012.

Arcangeli, C., Matthews, R., Knowles, L., and Kimberley, M. (2005) New models to support new silviculture. Poster presented at the IUFRO conference on “Sustainable Forestry in Theory and Practice”, Edinburgh, 5 -8 April 2005.

Arcangeli, C. and Evans, S. P. (2004) Modelling canopy rainfall interception at the daily time step using the Gash analytical model. Poster presented at the International Conference on Modelling Forest Production, Vienna, Austria, 19-21 April 2004.

Other oral presentations

Arcangeli, C. (2011). M1 growth and yield model. Forest Research Modellers meeting, Northern Research Station, 17th May 2011.

Arcangeli, C. (2010) Modelling Mixed Aged and Mixed Species Stand in GB. Steering Group of the Modelling Mixed Age and Mixed Species Stands project, Alice Holt, 4th May 2010.

Arcangeli, C. (2007) Modelling Rainfall Interception. Forest Research Update seminar, Alice Holt, 20th April 2007.

Arcangeli, C. (2006) M1 growth and yield model: example of model prediction for a Douglas fir stand. ICF mensuration day, Hayes Wood, Clinton Devon Estate, 12th July 2006.

Arcangeli, C. (2004) Thinning models. Operational Support Unit meeting, Silvan House, 23rd September 2004.