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

Forest Systems

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Field Value
 
Title Modelling approaches for mixed forests dynamics prognosis. Research gaps and opportunities
 
Creator Bravo, Felipe
Fabrika, Marek
Ammer, Christian
Barreiro, Susana
Bielak, Kamil
Coll, Lluis
Fonseca, Teresa
Kangur, Ahto
Löf, Magnus
Merganičová, Katarina
Pach, Maciej
Pretzsch, Hans
Stojanović, Dejan
Schuler, Laura
Peric, Sanja
Rötzer, Thomas
del Río, Miren
Dodan, Martina
Bravo-Oviedo, Andrés
 
Description 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.
 
Publisher INIA
 
Contributor COST Action FP1206 EuMIXFOR
Spanish Ministry of Economy and Competitiveness
 
Date 2019-06-07
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
 
Format application/pdf
text/html
application/xml
 
Identifier http://revistas.inia.es/index.php/fs/article/view/14342
10.5424/fs/2019281-14342
 
Source Forest Systems; Vol 28, No 1 (2019); eR002
Forest Systems; Vol 28, No 1 (2019); eR002
2171-9845
 
Language eng
 
Relation http://revistas.inia.es/index.php/fs/article/view/14342/4382
http://revistas.inia.es/index.php/fs/article/view/14342/4373
http://revistas.inia.es/index.php/fs/article/view/14342/4372
 
Rights info:eu-repo/semantics/openAccess
Copyright (c) 2019 Forest Systems
 

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