A1 Journal article (refereed)
A bark beetle infestation predictive model based on satellite data in the frame of decision support system TANABBO (2020)


Duriaciova, R.; Munko, M.; Barka, I.; Koren, M.; Resnerova, K.; Holusa, J.; Blazenec, M,; Potterf, M.; Jakus, R. (2020). A bark beetle infestation predictive model based on satellite data in the frame of decision support system TANABBO. iForest - Biogeosciences and Forestry, 13 (3), 215-223. DOI: 10.3832/ifor3271-013


JYU authors or editors


Publication details

All authors or editors: Duriaciova, R.; Munko, M.; Barka, I.; Koren, M.; Resnerova, K.; Holusa, J.; Blazenec, M,; Potterf, M.; Jakus, R.

Journal or series: iForest - Biogeosciences and Forestry

eISSN: 1971-7458

Publication year: 2020

Volume: 13

Issue number: 3

Pages range: 215-223

Publisher: Societa Italiana di Selvicoltura ed Ecologia Forestale (SISEF)

Publication country: Italy

Publication language: English

DOI: http://doi.org/10.3832/ifor3271-013

Open Access: Publication published in an open access channel

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/69815


Abstract

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) against beetle infestations in managed forests in the Bohemian Forest in the Czech Republic (Central Europe) in yearly time steps from 2007 to 2010. The predictive models of susceptibility to bark beetle attack had a high degree of reliability (area under the ROC curve - AUC: 0.75-0.82). We conclude that spot initiation and spot spreading prediction modules included within the TANABBO model have the potential to help forest managers to plan sanitation felling in managed forests under pressure of bark beetle outbreak.


Keywords: beetles; forest ecosystems

Free keywords: spatial predictive model; bark beetle infestation; GIS; ROC Curve; Norway Spruce


Contributing organizations


Ministry reporting: Yes

Reporting Year: 2020


Last updated on 2020-18-08 at 13:26