Modelling individual tree height to crown base of Norway spruce (Picea abies (L.) Karst.) and European beech (Fagus sylvatica L.)

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F17%3A75001" target="_blank" >RIV/60460709:41320/17:75001 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1371/journal.pone.0186394" target="_blank" >http://dx.doi.org/10.1371/journal.pone.0186394</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1371/journal.pone.0186394" target="_blank" >10.1371/journal.pone.0186394</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Modelling individual tree height to crown base of Norway spruce (Picea abies (L.) Karst.) and European beech (Fagus sylvatica L.)

Popis výsledku v původním jazyce

Height to crown base (HCB)of a tree is an important variable often included as a predictor in various forest models that serve as the fundamental tools for decision-making in forestry. We developed spatially explicit and spatially inexplicit mixed-effects HCB models using measurements from a total 19,404 trees of Norway spruce(Picea abies(L.)Karst.)and European beech(Fagus sylvatica L.)on the permanent sample plots that are located across the Czech Republic. Variables describing site quality,stand density or competition, and species mixing effects were included into the HCB model with use of dominant height(HDOM,basal area of trees larger in diameters than a subject tree (BAL-spatially inexplicit measure)or Hegyis competition index(HCI-spatially explicit measure), and basal area proportion of a species of interest(BAPOR),respectively. The parameters describing sample plot-level random effects were included into the HCB model by applying the mixed-effects modelling approach. Among several functional f

Název v anglickém jazyce

Modelling individual tree height to crown base of Norway spruce (Picea abies (L.) Karst.) and European beech (Fagus sylvatica L.)

Popis výsledku anglicky

Height to crown base (HCB)of a tree is an important variable often included as a predictor in various forest models that serve as the fundamental tools for decision-making in forestry. We developed spatially explicit and spatially inexplicit mixed-effects HCB models using measurements from a total 19,404 trees of Norway spruce(Picea abies(L.)Karst.)and European beech(Fagus sylvatica L.)on the permanent sample plots that are located across the Czech Republic. Variables describing site quality,stand density or competition, and species mixing effects were included into the HCB model with use of dominant height(HDOM,basal area of trees larger in diameters than a subject tree (BAL-spatially inexplicit measure)or Hegyis competition index(HCI-spatially explicit measure), and basal area proportion of a species of interest(BAPOR),respectively. The parameters describing sample plot-level random effects were included into the HCB model by applying the mixed-effects modelling approach. Among several functional f

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

40102 - Forestry

Projekt

—

Návaznosti

O - Projekt operacniho programu

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název periodika

PLoS One

ISSN

1932-6203

e-ISSN

—

Svazek periodika

12

Číslo periodika v rámci svazku

10

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

23

Strana od-do

1-23

Kód UT WoS článku

000413195900061

EID výsledku v databázi Scopus

2-s2.0-85031761755