Species diversity of forest stands estimation algorithm using RGB images of the tree crowns

Kotlarz, Jan; Kacprzak, Mariusz

doi:10.14313/par_223/63

Cited by 5 publications

(4 citation statements)

References 16 publications

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“…Each record of the forest division contains 398 parameters from the aforenamed categories. To create a representative sample of all forest stands in Poland, a supervised classification was performed using the ISOCLASS algorithm [20] in the 398-dimensional space. This resulted in the formation of 9 classes, collectively encompassing over 98% of all forest stands.…”

Section: Data Samplementioning

confidence: 99%

Estimation of the Short-Term Impact of Climate-Change-Related Factors on Wood Supply in Poland in 2023–2025

Kotlarz,

Bejger

2024

Forests

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In this study, we analyzed in situ data from the years 2018–2022 encompassing entire forest plantations in Poland. Based on data regarding stand density and the occurrence of fungal, water-related, climate-related, fire, and insect factors that may intensify with climate changes, we determined the correlation between their occurrence and the decline in wood increments for six tree species: pine, birch, oak, spruce, beech, and alder. Subsequently, we identified age intervals in which the species–factor interaction exhibited statistically significant effects. Next, we developed neural network models for short-term wood increment predictions. Utilizing these models, we estimated a reduction in wood supply harvested in accordance with the plans for the years 2023–2025 assuming a tenfold greater intensity of factors than in 2022. Findings indicate: birch: water-related factors may reduce wood production by 0.1%–0.2%. This aligns with previous research linking drought to birch wood decline, highlighting its sensitivity to water-related issues. Oak: fungal and insect factors could decrease wood production by up to 0.1%. Prior studies emphasize the significant influence of fungal diseases on oak health and regeneration, as well as the impact of insect infestation on wood production. Alder: water-related factors may lead to a slight reduction in wood production, approximately 0.02%. The impact is significant within specific age ranges, indicating potential effects on harvesting. Pine: water- and climate-related factors may result in up to a 0.05% reduction in wood production. Pine, a key forest-forming species in Poland, is notably sensitive to these factors, especially as it nears harvesting age. Spruce: insects, fungi, and climate-related factors could lead to a reduction in wood production of up to 0.2%–0.3%. Analyses demonstrate sensitivity, resulting in a noticeable growth differential compared to the typical rate. Short-term predictions based on neural networks were developed, acknowledging their suitability for short-term forecasts due to uncertainties regarding long-term factor impacts. Additionally, our study discussed modeling wood increments in divisions well below the harvesting time, emphasizing that the influence of current and 2023–2025 factors on wood increments and supply may only manifest several decades from now. These results imply important indications for the economic and financial performance of the wood industry.

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Section: Data Samplementioning

confidence: 99%

Estimation of the Short-Term Impact of Climate-Change-Related Factors on Wood Supply in Poland in 2023–2025

Kotlarz,

Bejger

2024

Forests

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“…The Shannon-Wiener index was calculated to determine the taxonomic diversity of each habitat. It was estimated from the number of taxa and the evenness of occurrence of individual taxon in a given habitat (Kacprzak and Kotlarz, 2017) [30].…”

Section: Ciliata Communitiesmentioning

confidence: 99%

The Effect of Peatland Restoration on Ciliate Communities: Long-Term Analyses

Mieczan,

Bartkowska,

Bronowicka-Mielniczuk

et al. 2023

Water

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Peatlands are extremely valuable ecosystems of enormous biological diversity, mainly due to their specific geological and hydrological conditions. One of the most important threats facing these habitats is overgrowth resulting from intensifying succession processes. Due to the fact that peatlands are endangered or vanishing, attempts are made to restore their original natural assets. The aim of the present study was to determine the effect of active conservation of peatland ecosystems, in the form of removal of birch trees, on communities of ciliates. The subject of the research was the Durne Bagno peat bog, located in Polesie National Park in eastern Poland. Analysis of the results of long-term research (nine years) showed that active conservation measures affect the physical, chemical, and hydrological properties of peatlands. In the habitat where birch trees were cut down, the water level, temperature, and chlorophyll a concentration in the vast majority of cases were higher than in the area with Betula L. Changes in habitat conditions are reflected in the taxonomic composition and abundance of ciliates. In the habitat from which birch trees were removed, ciliate abundance was higher than in areas where birch remained. The total number of taxa in the habitats was the same, but there were seasonal differences. The most taxa were recorded in spring and summer and the fewest in autumn. Thus, analysis of the results indicates that ciliates are an appropriate indicator group of species for biomonitoring of peatland restoration.

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“…W zadaniach związanych z monitoringiem środowiska naturalnego stosowane są sensory wykorzystujące promieniowanie elektromagnetyczne [1][2][3], fale akustyczne [4] i zapachy [5]. Umiejscowienie sensorów używanych w tym procesie na nośnikach satelitarnych (Landsat [6], Eumetsat [7]), rakietach sondujących [8], balonach stratosferycznych [9], platformach lotniczych [3,10] jest często kosztowne, wymaga przeprowadzenia procedury planującej i przeprowadzającej kampanię pomiarową.…”

Section: Wprowadzenieunclassified

The Use of Rolling Stock as a Carrier of Sensors in the Field of Environmental Monitoring

Kotlarz¹,

Szypulski²,

Kubiak

et al. 2019

PAR

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Streszczenie: Rozwój rynku IoT w Polsce może stać się czynnikiem upowszechniającym monitoring środowiska naturalnego i zwiększającym automatyzację tego działania. Pomiary wykonywane obecnie albo z użyciem zobrazowań niskorozdzielczych (dane satelitarne), albo punktowych (in situ) są obarczone błędami wynikającymi ze zbyt małej szczegółowości danych lub niskich rozdzielczości czasowych. Często kampanie pomiarowe są czasochłonne i generują wysokie koszty. Od wielu lat, zarówno w Europie, jak i w Ameryce Północnej, prowadzone są badania mające na celu umożliwienie użycia sensorów umiejscowionych na kolejowych platformach mobilnych (lokomotywy, wagony) w monitoringu środowiskowym. W publikacji przedstawiamy możliwość implementacji sensorów akustycznych, obrazowych oraz skaningu laserowego. Przedstawiamy przykłady zastosowań oraz odpowiadamy na pytanie o możliwość ich implementacji w Polsce.

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Species diversity of forest stands estimation algorithm using RGB images of the tree crowns

Cited by 5 publications

References 16 publications

Estimation of the Short-Term Impact of Climate-Change-Related Factors on Wood Supply in Poland in 2023–2025

Estimation of the Short-Term Impact of Climate-Change-Related Factors on Wood Supply in Poland in 2023–2025

The Effect of Peatland Restoration on Ciliate Communities: Long-Term Analyses

The Use of Rolling Stock as a Carrier of Sensors in the Field of Environmental Monitoring

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