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 and is one of the main developers of improved mathematical models of forest growth and yields.

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 has also made a major contribution to the formulation of a Strategy for the Forestry Commission and Forest Research on development of models of Growth, Yield and Carbon balance, including 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;
    Contribution 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;
    Leading the 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.

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.

Software and associated manuals

Hale, S., Jenkins, T. and Arcangeli, C. (2014) MOSES_GB v1.0 – User Guide. Forest Research.

Arcangeli, C.  and Matthews, R. (2010)  M1 Yield Model v1.0.  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.

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.

Full publication list from 2000