Modelling approaches for mixed forests dynamics prognosis. Research gaps and opportunities

• Bravo, Felipe ^[10] ; Fabrika, Marek ^[11] ; Ammer, Christian ^[1] ; Barreiro, Susana ^[12] ; Bielak, Kamil ^[2] ; Coll, Lluis ^[3] ; Fonseca, Teresa ^[4] ; Kangur, Ahto ^[5] ; Löf, Magnus ^[13] ; Merganičová, Katarina ^[6] ; Pach, Maciej ^[14] ; Pretzsch, Hans ^[7] ; Stojanović, Dejan ^[15] ; Schuler, Laura ^[16] ; Peric, Sanja ^[8] ; Rötzer, Thomas ^[7] ; del Río, Miren ^[9] ; Dodan, Martina ^[8] ; Bravo-Oviedo, Andrés ^[9]
  1. [1] University of Göttingen

     University of Göttingen

     Landkreis Göttingen, Alemania

     
  2. [2] Warsaw University of Life Sciences

     Warsaw University of Life Sciences

     Warszawa, Polonia

     
  3. [3] Universitat de Lleida

     Universitat de Lleida

     Lérida, España

     
  4. [4] Universidade de Trás-os-Montes e Alto Douro

     Universidade de Trás-os-Montes e Alto Douro

     Vila Real (São Pedro), Portugal

     
  5. [5] Estonian University of Life Sciences

     Estonian University of Life Sciences

     Tartu linn, Estonia

     
  6. [6] Czech University of Life Sciences Prague

     Czech University of Life Sciences Prague

     Chequia

     
  7. [7] Technical University Munich

     Technical University Munich

     Kreisfreie Stadt München, Alemania

     
  8. [8] Croatian Forest Research Institute

     Croatian Forest Research Institute

     Croacia

     
  9. [9] Universidad de Valladolid

     Universidad de Valladolid

     Valladolid, España

     
  10. [10] Instituto Universitario de Investigación en Gestión Forestal Sostenible (iuFOR) Universidad de Valladolid & INIA. Departamento de Producción Vegetal y Recursos Forestales, E.T.S. Ingenierías Agrarias Universidad de Valladolid Campus de Palencia Spain
  11. [11] Department of Forest Management and Geodesy, Faculty of Forestry, Technical University in Zvolen.
  12. [12] Forest Research Center, School of Agriculture, University of Lisbon, Lisbon. Forest Ecology and Forest Management Group, Wageningen University and Research; Droevendaalsesteeg 3a, 6708PB Wageningen, The Netherlands.
  13. [13] Inst för sydsvensk skogsvetenskap - SLU , Alnarp.
  14. [14] Department of Silviculture, Institute of Forest Ecology and Silviculture, University of Agriculture, Krakow.
  15. [15] Institute of Lowland Forestry and Environment, University of Novi Sad, Novi Sad.
  16. [16] Institute of Terrestrial Ecosystems, ETH Zurich.

  Mostrar afiliaciones +
• Localización: Forest systems, ISSN 2171-5068, ISSN-e 2171-9845, Vol. 28, Nº. 1, 2019
• Idioma: inglés
• Enlaces
  • Texto completo (pdf)
• Dialnet Métricas: 2 Citas
• Resumen

  • Aim of study: Modelling of forest growth and dynamics has focused mainly on pure stands. Mixed-forest management lacks systematic procedures to forecast the impact of silvicultural actions. The main objective of the present work is to review current knowledge and forest model developments that can be applied to mixed forests.Material and methods: Primary research literature was reviewed to determine the state of the art for modelling tree species mixtures, focusing mainly on temperate forests.Main results: The essential principles for predicting stand growth in mixed forests were identified. Forest model applicability in mixtures was analysed. Input data, main model components, output and viewers were presented. Finally, model evaluation procedures and some of the main model platforms were described.Research highlights: Responses to environmental changes and management activities in mixed forests can differ from pure stands. For greater insight into mixed-forest dynamics and ecology, forest scientists and practitioners need new theoretical frameworks, different approaches and innovative solutions for sustainable forest management in the context of environmental and social changes.Keywords: dynamics, ecology, growth, yield, empirical, classification.