Modelling approaches for mixed forests dynamics prognosis. Research gaps and opportunities
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F19%3A81251" target="_blank" >RIV/60460709:41320/19:81251 - isvavai.cz</a>
Result on the web
<a href="http://revistas.inia.es/index.php/fs/article/view/14342" target="_blank" >http://revistas.inia.es/index.php/fs/article/view/14342</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5424/fs/2019281-14342" target="_blank" >10.5424/fs/2019281-14342</a>
Alternative languages
Result language
angličtina
Original language name
Modelling approaches for mixed forests dynamics prognosis. Research gaps and opportunities
Original language 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, fore
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
40102 - Forestry
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Forest Systems
ISSN
2171-5068
e-ISSN
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Volume of the periodical
28
Issue of the periodical within the volume
1
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
18
Pages from-to
1-18
UT code for WoS article
000470713900006
EID of the result in the Scopus database
2-s2.0-85072571706