A bark beetle infestation predictive model based on satellite data in the frame of decision support system TANABBO

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F20%3A84916" target="_blank" >RIV/60460709:41320/20:84916 - isvavai.cz</a>

Výsledek na webu

<a href="https://iforest.sisef.org/abstract/?id=ifor3271-013" target="_blank" >https://iforest.sisef.org/abstract/?id=ifor3271-013</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3832/ifor3271-013" target="_blank" >10.3832/ifor3271-013</a>

Jazyk výsledku

angličtina

Název v původním jazyce

A bark beetle infestation predictive model based on satellite data in the frame of decision support system TANABBO

Popis výsledku v původním jazyce

The European spruce bark beetle Ips typographus L. causes significant economic losses in managed coniferous forests in Central and Northern Europe. New infestations either occur in previously undisturbed forest stands (i.e., spot initiation) or depend on proximity to previous years infestations (i.e., spot spreading). Early identification of newly infested trees over the forested landscape limits the effective control measures. Accurate forecasting of the spread of bark beetle infestation is crucial to plan efficient sanitation felling of infested trees and prevent further propagation of beetle-induced tree mortality. We created a predictive model of subsequent year spot initiation and spot spreading within the TANABBO decision support system. The algorithm combines open-access Landsat-based vegetation change time-series data, a digital terrain model, and forest stand characteristics. We validated predicted susceptibility to bark beetle attack (separately for spot initiation and spot spreading) again

Název v anglickém jazyce

A bark beetle infestation predictive model based on satellite data in the frame of decision support system TANABBO

Popis výsledku anglicky

The European spruce bark beetle Ips typographus L. causes significant economic losses in managed coniferous forests in Central and Northern Europe. New infestations either occur in previously undisturbed forest stands (i.e., spot initiation) or depend on proximity to previous years infestations (i.e., spot spreading). Early identification of newly infested trees over the forested landscape limits the effective control measures. Accurate forecasting of the spread of bark beetle infestation is crucial to plan efficient sanitation felling of infested trees and prevent further propagation of beetle-induced tree mortality. We created a predictive model of subsequent year spot initiation and spot spreading within the TANABBO decision support system. The algorithm combines open-access Landsat-based vegetation change time-series data, a digital terrain model, and forest stand characteristics. We validated predicted susceptibility to bark beetle attack (separately for spot initiation and spot spreading) again

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

40102 - Forestry

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

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

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název periodika

IForest

ISSN

1971-7458

e-ISSN

—

Svazek periodika

13

Číslo periodika v rámci svazku

2020

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

9

Strana od-do

215-223

Kód UT WoS článku

000542627300001

EID výsledku v databázi Scopus

2-s2.0-85086336794