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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

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

Popis výsledku anglicky

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

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

40102 - Forestry

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Forest Systems

ISSN

2171-5068

e-ISSN

—

Svazek periodika

28

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

18

Strana od-do

1-18

Kód UT WoS článku

000470713900006

EID výsledku v databázi Scopus

2-s2.0-85072571706