Monitoring of defoliation in forest stands of the Czech Republic and its comparison with results of defoliation monitoring in other European countries

Fabiánek, P.; Hellebrandová, Kateřina Neudertová; Čapek, Miroslav

doi:10.17221/84/2011-jfs

Cited by 7 publications

(4 citation statements)

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“…Due to the mining activities and coal burning power plants that were built in the immediate vicinity of the mined area, this region is one of the most contaminated areas of the Czech Republic where high levels of trace elements have been detected [31,32]. The soil was sampled from natural Norway spruce forest stands which surround the open-cast lignite mines in Sokolov, but have not been directly affected by the mining activities.…”

Section: Study Sites and Soil Samplesmentioning

confidence: 99%

Modelling Diverse Soil Attributes with Visible to Longwave Infrared Spectroscopy Using PLSR Employed by an Automatic Modelling Engine

et al. 2017

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Abstract:The study tested a data mining engine (PARACUDA ® ) to predict various soil attributes (BC, CEC, BS, pH, C org , Pb, Hg, As, Zn and Cu) using reflectance data acquired for both optical and thermal infrared regions. The engine was designed to utilize large data in parallel and automatic processing to build and process hundreds of diverse models in a unified manner while avoiding bias and deviations caused by the operator(s). The system is able to systematically assess the effect of diverse preprocessing techniques; additionally, it analyses other parameters, such as different spectral resolutions and spectral coverages that affect soil properties. Accordingly, the system was used to extract models across both optical and thermal infrared spectral regions, which holds significant chromophores. In total, 2880 models were evaluated where each model was generated with a different preprocessing scheme of the input spectral data. The models were assessed using statistical parameters such as coefficient of determination (R 2 ), square error of prediction (SEP), relative percentage difference (RPD) and by physical explanation (spectral assignments). It was found that the smoothing procedure is the most beneficial preprocessing stage, especially when combined with spectral derivation (1st or 2nd derivatives). Automatically and without the need of an operator, the data mining engine enabled the best prediction models to be found from all the combinations tested. Furthermore, the data mining approach used in this study and its processing scheme proved to be efficient tools for getting a better understanding of the geochemical properties of the samples studied (e.g., mineral associations).

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Section: Study Sites and Soil Samplesmentioning

confidence: 99%

Modelling Diverse Soil Attributes with Visible to Longwave Infrared Spectroscopy Using PLSR Employed by an Automatic Modelling Engine

et al. 2017

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“…Įvertinant foninės koncentracijos įtaką medžių būklei, buvo stebimas paprastasis uosis (1 matavimo vieta), kuris liepos mėnesį neteko 25 %, o rugpjūtį 45 % lapų (5 pav.). Sunkiasvorių transporto priemonių ribojimo kelio ruožuose defoliacijos procesai yra silpnesni, tačiau netgi nedidelės azoto dioksido koncentracijos (~3 µg/m 3 ) paveikia medžių lajas negrįž-tamai (Pavlov et al 2009;Fabiánek et al 2012;Marco et al 2014). Medžių lapijos pokytis ir negrįžtamas procesas 2 pav.…”

Section: Rezultatai Ir Jų Analizėunclassified

Influence of Nitrogen Dioxide on Defoliation Process Within the Traffic Areas of Different Intensity / Azoto Dioksido Įtaka Defoliacijos Procesui Skirtingo Intensyvumo Eismo Zonose

Aleksandravičiūtė

Šerevičienė

2016

Mokslas – Lietuvos Ateitis

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2016 © Straipsnio autoriai. Leidėjas VGTU leidykla "Technika". Šis straipsnis yra atvirosios prieigos straipsnis, turintis Kūrybinių bendrijų (Creative Commons) licenciją (CC BY-NC 4.0), kuri leidžia neribotą straipsnio ar jo dalių panaudą su privaloma sąlyga nurodyti autorių ir pirminį šaltinį. Straipsnis ar jo dalys negali būti naudojami komerciniams tikslams. Santrauka. Transporto sukeliama oro tarša yra viena iš aktualiausių problemų šalyje. Vienas iš transporto išmetamų į aplinką teršalų yra azoto dioksidas, kuris neigiamai veikia augalų lapiją. Esant 30 µg/m 3 koncentracijai azoto dioksido, suintensyvėja defoliacijos procesas, sulėtėja medžių augimas, atsiranda nespecifinės lapų chlorozės požymių. Tyrimo tikslas − ištirti NO 2 koncentracijas ir įvertinti defoliacijos proceso intensyvumą skirtingo intensyvumo eismo zonose. Azoto dioksido kiekiui nustatyti naudojami difuziniai ėmikliai, kurie eksponuojami po 2 savaites ir tiriami laboratorijoje. Lajos defoliacija nustatoma lyginant tiriamą medį su etaloniniu medžiu, kuris turi visus (100 %) lapus. Mieste pagrindinis azoto dioksido šaltinis yra pravažiuojantis transportas, todėl tyrimo rezultatai atspindės esamą situaciją. MOKSLAS -LIETUVOS ATEITIS SCIENCE -FUTURE OF LITHUANIAReikšminiai žodžiai: azoto dioksidas, defoliacija, oro tarša, automobilių transportas, eismo intensyvumas, medžių laja.

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“…It essentially reveals the actual condition of forests and is considered to be an indicator of the balance between a tree and its environment [ 34 ]. Stand age has a significant impact on the occurrence of defoliation [ 35 , 36 , 37 ]. In line with this, large and old trees should show increasing mortality, while the mortality of young trees should show a decreasing rate [ 38 ].…”

Section: Introductionmentioning

confidence: 99%

Impact of an Extremely Dry Period on Tree Defoliation and Tree Mortality in Serbia

Češljar

Jovanovic

Brašanac-Bosanac

et al. 2022

Plants

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This paper presents research results on forest decline in Serbia. The results were obtained through monitoring defoliation of 34 tree species at 130 sample plots during the period from 2004 to 2018. This research aimed to determine whether the occurrence of defoliation and tree mortality were caused by drought. Defoliation was assessed in 5% steps according to the International Co-operative Programme on Assessment and Monitoring of Air Pollution Effects on Forests (ICP Forests) methodology. All the trees recorded as dead were singled out, and annual mortality rates were calculated. To determine changes in air temperature and precipitation regimes during the study period, we processed and analysed climatic data related to air temperature and precipitation throughout the year and in the growing season at 28 main weather stations in Serbia. Tree mortality patterns were established by classifying trees into three groups. The first group of trees exhibited a gradual increase in defoliation during the last few years of monitoring, with dying as the final outcome. The second group was characterised by sudden death of trees. The third group of trees reached a higher degree of defoliation immediately after the first monitoring year, and the trees died after several years. Tree mortality rates were compared between years using the Standardised Precipitation Evaporation Index (SPI) and the Standardised Precipitation Evapotranspiration Index (SPEI), the most common methods used to monitor drought. The most intensive forest decline was recorded during the period from 2013 to 2016, when the largest percentage of the total number of all trees died. According to the annual mortality rates calculated for the three observation periods (2004–2008, 2009–2013, and 2014–2018) the highest forest decline rate was recorded in the period from 2014 to 2018, with no statistically significant difference between broadleaved and coniferous tree species. As the sample of coniferous species was small, the number of sample plots should be increased in order to achieve better systematic forest condition monitoring in Serbia. The analysis of the relationship between defoliation and climatic parameters proved the correlation between them. It was noted that the forest decline in Serbia was preceded by an extremely dry period with high temperatures from 2011 to 2013, supporting the hypothesis that it was caused by drought. We therefore conclude that these unfavourable climatic conditions had serious and long-term consequences on forest ecosystems in Serbia.

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Monitoring of defoliation in forest stands of the Czech Republic and its comparison with results of defoliation monitoring in other European countries

Cited by 7 publications

References 0 publications

Modelling Diverse Soil Attributes with Visible to Longwave Infrared Spectroscopy Using PLSR Employed by an Automatic Modelling Engine

Modelling Diverse Soil Attributes with Visible to Longwave Infrared Spectroscopy Using PLSR Employed by an Automatic Modelling Engine

Influence of Nitrogen Dioxide on Defoliation Process Within the Traffic Areas of Different Intensity / Azoto Dioksido Įtaka Defoliacijos Procesui Skirtingo Intensyvumo Eismo Zonose

Impact of an Extremely Dry Period on Tree Defoliation and Tree Mortality in Serbia

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