Mass outbreaks and factors related to the spatial dynamics of spruce bark beetle (Ips typographus) dieback considering diverse management regimes in the Białowieża forest

Kamińska, Agnieszka; Lisiewicz, Maciej; Kraszewski, Bartłomiej; Stereńczak, Krzysztof

doi:10.1016/j.foreco.2021.119530

Cited by 28 publications

(4 citation statements)

References 45 publications

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“…Furthermore, pine has been susceptible to disturbances in recent years, which may have led to misclassifications (Hemmerling et al, 2021). Another species with share lower in our map than reported is spruce (3.6% vs 5.3%), which, in recent years is exposed to significant disturbances and dieback, particularly in the Western Carpathian mountains and Białowieża forest (Grodzki, 2010;Bałazy, 2020;Kamińska et al, 2021). Consequently, the share of spruce is also decreasing.…”

Section: Tree Species Distribution and Accuracymentioning

confidence: 68%

Map of forest tree species for Poland based on Sentinel-2 data

Grabska-Szwagrzyk,

Tiede,

Sudmanns

et al. 2024

Preprint

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Abstract. Accurate information on forest tree species composition is vital for various scientific applications, as well as for forest inventory and management purposes. Country-wide, detailed species maps are a valuable resource for environmental management, conservation, research, and planning. Here, we performed the classification of 16 dominant tree species/genera in Poland using time series of Sentinel-2 imagery. To generate comprehensive spectral-temporal information, we created Sentinel-2 seasonal aggregations known as Spectral-Temporal Metrics (STMs) within Google Earth Engine (GEE). STMs were computed for short periods of 15–30 days during spring, summer, and autumn, covering multi-annual observations from years 2018 to 2021. The Polish Forest Data Bank served as reference data, and, to obtain robust samples with pure stands only, it was validated through automated and visual inspection based on very high resolution orthoimagery, resulting in 4500 polygons, serving as training and test data. The forest mask was derived from available land cover datasets in GEE, namely ESA World Cover and Dynamic World. Additionally, we incorporated various topographic and climatic variables from GEE to enhance classification accuracy. The Random Forest algorithm was employed for the classification process, and an area-adjusted accuracy assessment was conducted through cross-validation and test datasets. The results demonstrate that the country-wide forest stand species mapping achieved an accuracy exceeding 80 %, however it varies greatly depending on species, region and observation frequency. We provide freely accessible resources including the forest tree species map, training and test data: https://doi.org/10.5281/zenodo.10180469 (Grabska-Szwagrzyk, 2023).

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Section: Tree Species Distribution and Accuracymentioning

confidence: 68%

Map of forest tree species for Poland based on Sentinel-2 data

Grabska-Szwagrzyk,

Tiede,

Sudmanns

et al. 2024

Preprint

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“…However, in the Polish part of the Białowie ża Forest, the spread of the I. typographus outbreak was estimated by mapping dead spruce stands on a tree level using airborne hyperspectral and laser scanning data obtained from HySpex VNIR-1800 camera and Riegl LMS-Q680i scanner [15,16]. The detailed use of remote sensing data showed that, in just five years (2015-2019), the pest was so destructive that it nearly eliminated Norway spruce as a major tree species in the Białowie ża forest [17]. In addition, satellite optical and thermal data of Landsat-8 were also used to investigate the early stage of I. typographus infestation in the Bavarian Forest National Park in south-eastern Germany along the border with the Czech Republic (between 13 • 12 9" E and 49 • 3 19" N) [18].…”

Section: Discussionmentioning

confidence: 99%

Remote Sensing Assessment of the Expansion of Ips typographus Attacks in the Chuprene Reserve, Western Balkan Range

Georgiev

Георгиева

Dimitrov

et al. 2022

Forests

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The Chuprene Reserve was created in 1973 to preserve the natural coniferous forests in the Western Balkan Range in Bulgaria. The first infestations by European spruce bark beetle (Ips typographus) were registered in Norway spruce (Picea abies) stands in the mid-1980s. The aim of this study is to assess the damages caused by I. typographus in the Chuprene Reserve using remote sensing techniques – unmanned aerial vehicle (UAV) images, airborne images, and satellite images of European Space Imaging (EUSI), combined with terrestrial verification. High-resolution images in four bands of the electromagnetic spectrum and in a standard RGB channel were taken in 2017 via a multispectral camera ‘Parrot Sequoia’, integrated with a specialized professional UAV system eBee ‘Flying Wing’. The health status of Norway spruce stands in the reserve was assessed with the normalized difference vegetation index, based on the digital mixing of imagery captured in the red and near infrared range. The dynamic of bark beetle attacks was studied in GIS on the basis of maps generated from photographic surveys, airborne images taken in 2011 and 2015, and satellite images from 2020. In the UAV-captured area (314.0 ha), the size of Norway spruce stands attacked by I. typographus increased from 7.6 ha (2.4%) in 2011 to 44.9 ha (14.3%) in 2020. The satellite images showed that on the entire territory of the Chuprene Reserve (1451.9 ha), I. typographus killed spruce trees on 137.4 ha, which is 9.6% of the total area.

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“…Ips typographus is one of the most destructive xylophagous insect pests of Norway spruce species in Europe (Kaminska et al, 2021). Its outbreaks are usually caused by disturbances or extreme weather conditions (Wermelinger, 2004).…”

Section: Discussionmentioning

confidence: 99%

Early detection of Ips typographus infestations by using Sentinel-2 satellite images in windthrow affected Norway spruce forests in Smolyan region, Bulgaria

Георгиев¹,

Георгиева²,

Belilov³

et al. 2022

SBAL

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Strong winds uprooted more than 100 thousand m3 of coniferous trees in natural forest stands nearby the town of Smolyan (the Western Rhodopes) in January 2018. Although damaged trees were quickly removed from the stands, the European spruce bark beetle (Ips typographus) attacked the healthy Norway spruce trees near the windthrow areas in August 2020. Our hypothesis was that the trees were infested by the pest in previous years when no symptoms of attacks were observed. This study was conducted in three spruce stands, located near the windthrow areas and attacked by I. typographus, and in three control (healthy) stands located 5-10 km from the affected areas. We used satellite images captured by Sentinel-2 in September 2017-2020. It was established that in September 2017 (a year before the windthrow), the mean values of the Normalized difference vegetation index (NDVI) in the attacked stands were concentrated between 0.60 and 0.75 (with a maximum at 0.70), indicating that the trees were in good health. During the period 2018-2020 the distribution of mean values of NDVI was stretched between 0.35 and 0.75, which is an indication of evidence of pest attacks on the individual trees. The detail comparison of pixel values of the NDVI in the attacked and control sample plots was made on the base of images captured on 27.06.2020. The mean NDVI values in the three control plots (0.74-0.79) were much higher than the mean values in the sample plots attacked by the pest (0.57-0.65). These results showed that the values of NDVI based on satellite remote sensing data of Sentinel-2 can be used for early detection of I. typographus infestations in spruce stands around the windthrows. These data are important for rapid planning and implementing the sanitary feelings that reduce the pest population.

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Mass outbreaks and factors related to the spatial dynamics of spruce bark beetle (Ips typographus) dieback considering diverse management regimes in the Białowieża forest

Cited by 28 publications

References 45 publications

Map of forest tree species for Poland based on Sentinel-2 data

Map of forest tree species for Poland based on Sentinel-2 data

Remote Sensing Assessment of the Expansion of Ips typographus Attacks in the Chuprene Reserve, Western Balkan Range

Early detection of Ips typographus infestations by using Sentinel-2 satellite images in windthrow affected Norway spruce forests in Smolyan region, Bulgaria

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Mass outbreaks and factors related to the spatial dynamics of spruce bark beetle (Ips typographus) dieback considering diverse management regimes in the Białowieża forest

Cited by 28 publications

References 45 publications

Map of forest tree species for Poland based on Sentinel-2 data

Map of forest tree species for Poland based on Sentinel-2 data

Remote Sensing Assessment of the Expansion of Ips typographus Attacks in the Chuprene Reserve, Western Balkan Range

Early detection of Ips typographus infestations by using Sentinel-2 satellite images in windthrow affected Norway spruce forests in Smolyan region,&nbsp;Bulgaria

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Early detection of Ips typographus infestations by using Sentinel-2 satellite images in windthrow affected Norway spruce forests in Smolyan region, Bulgaria