Dynamic Patterns of Trees Species in Miombo Forest and Management Perspectives for Sustainable ProductionCase Study in Huambo Province, Angola

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F18%3A78172" target="_blank" >RIV/60460709:41320/18:78172 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.3390/f9060321" target="_blank" >http://dx.doi.org/10.3390/f9060321</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/f9060321" target="_blank" >10.3390/f9060321</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Dynamic Patterns of Trees Species in Miombo Forest and Management Perspectives for Sustainable ProductionCase Study in Huambo Province, Angola

Popis výsledku v původním jazyce

This paper aims to assess important forest parameters, including tree density, diameter at breast height (DBH), and age distribution, investigate the dynamic growth of miombo tree species, and employ this information to design a management framework in miombo forests. The delineation of the management zones was based on unsupervised land cover classification that began with three zones where ground data was collected and increased to five zones. Eighteen circular plots (25,2 m radius) were randomly distributed over the study areas to assess the current situation and potential growth patterns for each species. The patterns of the six most representative tree species of miombo in Angola were described and we used KORFiT 2,4 software to fit data and develop growth curves for at least three miombo species. Growth function fitness was evaluated by root mean squared error (RMSE), coefficient of determination (R-2), significance of the parameters (p less than 0,05), and Akaike s information criterion (AIC).

Název v anglickém jazyce

Dynamic Patterns of Trees Species in Miombo Forest and Management Perspectives for Sustainable ProductionCase Study in Huambo Province, Angola

Popis výsledku anglicky

This paper aims to assess important forest parameters, including tree density, diameter at breast height (DBH), and age distribution, investigate the dynamic growth of miombo tree species, and employ this information to design a management framework in miombo forests. The delineation of the management zones was based on unsupervised land cover classification that began with three zones where ground data was collected and increased to five zones. Eighteen circular plots (25,2 m radius) were randomly distributed over the study areas to assess the current situation and potential growth patterns for each species. The patterns of the six most representative tree species of miombo in Angola were described and we used KORFiT 2,4 software to fit data and develop growth curves for at least three miombo species. Growth function fitness was evaluated by root mean squared error (RMSE), coefficient of determination (R-2), significance of the parameters (p less than 0,05), and Akaike s information criterion (AIC).

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

40102 - Forestry

Projekt

<a href="/cs/project/QJ1520187" target="_blank" >QJ1520187: Vývoj bezpilotních prostředků pro monitoring v lesním hospodářství</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název periodika

FORESTS

ISSN

1999-4907

e-ISSN

—

Svazek periodika

9

Číslo periodika v rámci svazku

6

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

28

Strana od-do

1-28

Kód UT WoS článku

000436277900038

EID výsledku v databázi Scopus

2-s2.0-85048171189