TY  - JOUR
AU  - Milanović, Slobodan
AU  - Trailović, Zoran
AU  - Milanović, Slađan D.
AU  - Hochbichler, Eduard
AU  - Kirisits, Thomas
AU  - Immitzer, Markus
AU  - Cermak, Petr
AU  - Pokorny, Radek
AU  - Jankovsky, Libor
AU  - Jaafari, Abolfazl
PY  - 2023
UR  - https://omorika.sfb.bg.ac.rs/handle/123456789/1434
AB  - Forest fires are becoming a serious concern in Central European countries such as Austria (AT) and the Czech Republic (CZ). Mapping fire ignition probabilities across countries can be a useful tool for fire risk mitigation. This study was conducted to: (i) evaluate the contribution of the variables obtained from open-source datasets (i.e., MODIS, OpenStreetMap, and WorldClim) for modeling fire ignition probability at the country level; and (ii) investigate how well the Random Forest (RF) method performs from one country to another. The importance of the predictors was evaluated using the Gini impurity method, and RF was evaluated using the ROC-AUC and confusion matrix. The most important variables were the topographic wetness index in the AT model and slope in the CZ model. The AUC values in the validation sets were 0.848 (AT model) and 0.717 (CZ model). When the respective models were applied to the entire dataset, they achieved 82.5% (AT model) and 66.4% (CZ model) accuracy. Cross-comparison revealed that the CZ model may be successfully applied to the AT dataset (AUC = 0.808, Acc = 82.5%), while the AT model showed poor explanatory power when applied to the CZ dataset (AUC = 0.582, Acc = 13.6%). Our study provides insights into the effect of the accuracy and completeness of open-source data on the reliability of national-level forest fire probability assessment.
T2  - Sustainability
T1  - Country-Level Modeling of Forest Fires in Austria and the Czech Republic: Insights from Open-Source Data
IS  - 6
VL  - 15
DO  - 10.3390/su15065269
UR  - conv_1691
ER  - 

@article{
author = "Milanović, Slobodan and Trailović, Zoran and Milanović, Slađan D. and Hochbichler, Eduard and Kirisits, Thomas and Immitzer, Markus and Cermak, Petr and Pokorny, Radek and Jankovsky, Libor and Jaafari, Abolfazl",
year = "2023",
abstract = "Forest fires are becoming a serious concern in Central European countries such as Austria (AT) and the Czech Republic (CZ). Mapping fire ignition probabilities across countries can be a useful tool for fire risk mitigation. This study was conducted to: (i) evaluate the contribution of the variables obtained from open-source datasets (i.e., MODIS, OpenStreetMap, and WorldClim) for modeling fire ignition probability at the country level; and (ii) investigate how well the Random Forest (RF) method performs from one country to another. The importance of the predictors was evaluated using the Gini impurity method, and RF was evaluated using the ROC-AUC and confusion matrix. The most important variables were the topographic wetness index in the AT model and slope in the CZ model. The AUC values in the validation sets were 0.848 (AT model) and 0.717 (CZ model). When the respective models were applied to the entire dataset, they achieved 82.5% (AT model) and 66.4% (CZ model) accuracy. Cross-comparison revealed that the CZ model may be successfully applied to the AT dataset (AUC = 0.808, Acc = 82.5%), while the AT model showed poor explanatory power when applied to the CZ dataset (AUC = 0.582, Acc = 13.6%). Our study provides insights into the effect of the accuracy and completeness of open-source data on the reliability of national-level forest fire probability assessment.",
journal = "Sustainability",
title = "Country-Level Modeling of Forest Fires in Austria and the Czech Republic: Insights from Open-Source Data",
number = "6",
volume = "15",
doi = "10.3390/su15065269",
url = "conv_1691"
}

Milanović, S., Trailović, Z., Milanović, S. D., Hochbichler, E., Kirisits, T., Immitzer, M., Cermak, P., Pokorny, R., Jankovsky, L.,& Jaafari, A.. (2023). Country-Level Modeling of Forest Fires in Austria and the Czech Republic: Insights from Open-Source Data. in Sustainability, 15(6).
https://doi.org/10.3390/su15065269
conv_1691

Milanović S, Trailović Z, Milanović SD, Hochbichler E, Kirisits T, Immitzer M, Cermak P, Pokorny R, Jankovsky L, Jaafari A. Country-Level Modeling of Forest Fires in Austria and the Czech Republic: Insights from Open-Source Data. in Sustainability. 2023;15(6).
doi:10.3390/su15065269
conv_1691 .

Milanović, Slobodan, Trailović, Zoran, Milanović, Slađan D., Hochbichler, Eduard, Kirisits, Thomas, Immitzer, Markus, Cermak, Petr, Pokorny, Radek, Jankovsky, Libor, Jaafari, Abolfazl, "Country-Level Modeling of Forest Fires in Austria and the Czech Republic: Insights from Open-Source Data" in Sustainability, 15, no. 6 (2023),
https://doi.org/10.3390/su15065269 .,
conv_1691 .

TY  - JOUR
AU  - Milanović, Slobodan
AU  - Kaczmarowski, Jan
AU  - Ciesielski, Mariusz
AU  - Trailović, Zoran
AU  - Mielcarek, Milosz
AU  - Szczygiel, Ryszard
AU  - Kwiatkowski, Miroslaw
AU  - Balazy, Radomir
AU  - Zasada, Michal
AU  - Milanović, Slađan D.
PY  - 2023
UR  - https://omorika.sfb.bg.ac.rs/handle/123456789/1429
AB  - In recent years, forest fires have become an important issue in Central Europe. To model the probability of the occurrence of forest fires in the Lower Silesian Voivodeship of Poland, historical fire data and several types of predictors were collected or generated, including topographic, vegetation, climatic, and anthropogenic features. The main objectives of this study were to determine the importance of the predictors of forest fire occurrence and to map the probability of forest fire occurrence. The H2O driverless artificial intelligence (DAI) cloud platform was used to model forest fire probability. The gradient boosted machine (GBM) and random forest (RF) methods were applied to assess the probability of forest fire occurrence. Evaluation the importance of the variables was performed using the H2O platform permutation method. The most important variables were the presence of coniferous forest and the distance to agricultural land according to the GBM and RF methods, respectively. Model validation was conducted using receiver operating characteristic (ROC) analysis. The areas under the curve (AUCs) of the ROC plots from the GBM and RF models were 83.3% and 81.3%, respectively. Based on the results obtained, the GBM model can be recommended for the mapping of forest fire occurrence in the study area.
T2  - Forests
T1  - Modeling and Mapping of Forest Fire Occurrence in the Lower Silesian Voivodeship of Poland Based on Machine Learning Methods
IS  - 1
VL  - 14
DO  - 10.3390/f14010046
UR  - conv_1680
ER  - 

@article{
author = "Milanović, Slobodan and Kaczmarowski, Jan and Ciesielski, Mariusz and Trailović, Zoran and Mielcarek, Milosz and Szczygiel, Ryszard and Kwiatkowski, Miroslaw and Balazy, Radomir and Zasada, Michal and Milanović, Slađan D.",
year = "2023",
abstract = "In recent years, forest fires have become an important issue in Central Europe. To model the probability of the occurrence of forest fires in the Lower Silesian Voivodeship of Poland, historical fire data and several types of predictors were collected or generated, including topographic, vegetation, climatic, and anthropogenic features. The main objectives of this study were to determine the importance of the predictors of forest fire occurrence and to map the probability of forest fire occurrence. The H2O driverless artificial intelligence (DAI) cloud platform was used to model forest fire probability. The gradient boosted machine (GBM) and random forest (RF) methods were applied to assess the probability of forest fire occurrence. Evaluation the importance of the variables was performed using the H2O platform permutation method. The most important variables were the presence of coniferous forest and the distance to agricultural land according to the GBM and RF methods, respectively. Model validation was conducted using receiver operating characteristic (ROC) analysis. The areas under the curve (AUCs) of the ROC plots from the GBM and RF models were 83.3% and 81.3%, respectively. Based on the results obtained, the GBM model can be recommended for the mapping of forest fire occurrence in the study area.",
journal = "Forests",
title = "Modeling and Mapping of Forest Fire Occurrence in the Lower Silesian Voivodeship of Poland Based on Machine Learning Methods",
number = "1",
volume = "14",
doi = "10.3390/f14010046",
url = "conv_1680"
}

Milanović, S., Kaczmarowski, J., Ciesielski, M., Trailović, Z., Mielcarek, M., Szczygiel, R., Kwiatkowski, M., Balazy, R., Zasada, M.,& Milanović, S. D.. (2023). Modeling and Mapping of Forest Fire Occurrence in the Lower Silesian Voivodeship of Poland Based on Machine Learning Methods. in Forests, 14(1).
https://doi.org/10.3390/f14010046
conv_1680

Milanović S, Kaczmarowski J, Ciesielski M, Trailović Z, Mielcarek M, Szczygiel R, Kwiatkowski M, Balazy R, Zasada M, Milanović SD. Modeling and Mapping of Forest Fire Occurrence in the Lower Silesian Voivodeship of Poland Based on Machine Learning Methods. in Forests. 2023;14(1).
doi:10.3390/f14010046
conv_1680 .

Milanović, Slobodan, Kaczmarowski, Jan, Ciesielski, Mariusz, Trailović, Zoran, Mielcarek, Milosz, Szczygiel, Ryszard, Kwiatkowski, Miroslaw, Balazy, Radomir, Zasada, Michal, Milanović, Slađan D., "Modeling and Mapping of Forest Fire Occurrence in the Lower Silesian Voivodeship of Poland Based on Machine Learning Methods" in Forests, 14, no. 1 (2023),
https://doi.org/10.3390/f14010046 .,
conv_1680 .

TY  - JOUR
AU  - Milanović, Slobodan
AU  - Mihailović, Dragutin T.
AU  - Lakićević, Milena
AU  - Đurđević, Vladimir
AU  - Malinović-Milićević, S.
AU  - Milanović, Slađan D.
AU  - Trailović, Zoran
PY  - 2023
UR  - https://omorika.sfb.bg.ac.rs/handle/123456789/1446
AB  - The impact of climate change on insect pests is an emerging topic in forestry and forest science. This study investigates the relationships between two broadleaved forest pests – spongy moth (Lymantria dispar L.) and brown-tail moth (Euproctis chrysorrhoea L.) – and oaks (Quercus sp.) as their hosts. Oak forests cover almost one-third of the total forest area of Serbia and are ecologicallyvery valuable, but at the same time vulnerable, as being affected in adverse ways by several primary pests and pa-
PB  - Osterreichischer Agrarverlag GmbH
T2  - Austrian Journal of Forest Science
T1  - Auswirkungen von UV-Strahlung und Temperatur auf den Schwammspinner und den Goldafter in Serbien
T1  - Impact of UV radiation and temperature on the spongy moth and the brown-tail moth in Serbia
EP  - 20
IS  - 1
SP  - 1
DO  - 10.53203/fs.2301.1
UR  - conv_1890
ER  - 

@article{
author = "Milanović, Slobodan and Mihailović, Dragutin T. and Lakićević, Milena and Đurđević, Vladimir and Malinović-Milićević, S. and Milanović, Slađan D. and Trailović, Zoran",
year = "2023",
abstract = "The impact of climate change on insect pests is an emerging topic in forestry and forest science. This study investigates the relationships between two broadleaved forest pests – spongy moth (Lymantria dispar L.) and brown-tail moth (Euproctis chrysorrhoea L.) – and oaks (Quercus sp.) as their hosts. Oak forests cover almost one-third of the total forest area of Serbia and are ecologicallyvery valuable, but at the same time vulnerable, as being affected in adverse ways by several primary pests and pa-",
publisher = "Osterreichischer Agrarverlag GmbH",
journal = "Austrian Journal of Forest Science",
title = "Auswirkungen von UV-Strahlung und Temperatur auf den Schwammspinner und den Goldafter in Serbien, Impact of UV radiation and temperature on the spongy moth and the brown-tail moth in Serbia",
pages = "20-1",
number = "1",
doi = "10.53203/fs.2301.1",
url = "conv_1890"
}

Milanović, S., Mihailović, D. T., Lakićević, M., Đurđević, V., Malinović-Milićević, S., Milanović, S. D.,& Trailović, Z.. (2023). Auswirkungen von UV-Strahlung und Temperatur auf den Schwammspinner und den Goldafter in Serbien. in Austrian Journal of Forest Science
Osterreichischer Agrarverlag GmbH.(1), 1-20.
https://doi.org/10.53203/fs.2301.1
conv_1890

Milanović S, Mihailović DT, Lakićević M, Đurđević V, Malinović-Milićević S, Milanović SD, Trailović Z. Auswirkungen von UV-Strahlung und Temperatur auf den Schwammspinner und den Goldafter in Serbien. in Austrian Journal of Forest Science. 2023;(1):1-20.
doi:10.53203/fs.2301.1
conv_1890 .

Milanović, Slobodan, Mihailović, Dragutin T., Lakićević, Milena, Đurđević, Vladimir, Malinović-Milićević, S., Milanović, Slađan D., Trailović, Zoran, "Auswirkungen von UV-Strahlung und Temperatur auf den Schwammspinner und den Goldafter in Serbien" in Austrian Journal of Forest Science, no. 1 (2023):1-20,
https://doi.org/10.53203/fs.2301.1 .,
conv_1890 .

TY  - JOUR
AU  - Milanović, Slobodan
AU  - Mihailović, Dragutin T.
AU  - Lakićević, Milena
AU  - Đurđević, Vladimir
AU  - Malinović-Milicević, Slavica
AU  - Milanović, Slađan D.
AU  - Trailović, Zoran
PY  - 2023
UR  - https://omorika.sfb.bg.ac.rs/handle/123456789/1438
AB  - The impact of climate change on insect pests is an emerging topic in forestry and forest science. This study investigates the relationships between two broadleaved forest pests - spongy moth (Lymantria dispar L.) and brown-tail moth (Euproctis chry-sorrhoea L.) - and oaks (Quercus sp.) as their hosts. Oak forests cover almost one-third of the total forest area of Serbia and are ecologicallyvery valuable, but at the same time vulnerable, as being affected in adverse ways by several primary pests and pathogens. Since 1862, Serbia experienced several extremely large outbreaks of spongy moth with more than a hundred thousand hectares completely defoliated each time, while brown-tail moth occurred periodically with a much lower spatial extent. The aim of this research was to investigate the effect of UV radiation (UVR) and air tempe-rature on spongy moth and brown-tail moth in Serbian forests. We used simulations of the coupled regional climate model EBU-POM (Eta Belgrade University-Princeton Ocean Model) for the A1B scenario for the period 2001-2030 as main input and diffe-rent statistical methods to explore relationships between observations of pest spread and climate change impacts. Our results suggest(i) increasing the areas affected by spongy moth due to its sensitivity on UVR in May, and(ii) altitudinal spreading of brown-tail moth population up to 800 - 1000 m.This research indicates that in situ forest observations in Serbia are not only affected by climate change, but also by the combined effect of climate on forest pests. For fur-ther research, we recommend exploring other forest stressors or dieback phenomena in European forests by applying the same or similar regional climate model dataset.
T2  - Austrian Journal of Forest Science
T1  - Impact of UV radiation and temperature on the spongy moth and the brown-tail moth in Serbia
EP  - 20
IS  - 1
SP  - 1
VL  - 140
UR  - conv_1697
ER  - 

@article{
author = "Milanović, Slobodan and Mihailović, Dragutin T. and Lakićević, Milena and Đurđević, Vladimir and Malinović-Milicević, Slavica and Milanović, Slađan D. and Trailović, Zoran",
year = "2023",
abstract = "The impact of climate change on insect pests is an emerging topic in forestry and forest science. This study investigates the relationships between two broadleaved forest pests - spongy moth (Lymantria dispar L.) and brown-tail moth (Euproctis chry-sorrhoea L.) - and oaks (Quercus sp.) as their hosts. Oak forests cover almost one-third of the total forest area of Serbia and are ecologicallyvery valuable, but at the same time vulnerable, as being affected in adverse ways by several primary pests and pathogens. Since 1862, Serbia experienced several extremely large outbreaks of spongy moth with more than a hundred thousand hectares completely defoliated each time, while brown-tail moth occurred periodically with a much lower spatial extent. The aim of this research was to investigate the effect of UV radiation (UVR) and air tempe-rature on spongy moth and brown-tail moth in Serbian forests. We used simulations of the coupled regional climate model EBU-POM (Eta Belgrade University-Princeton Ocean Model) for the A1B scenario for the period 2001-2030 as main input and diffe-rent statistical methods to explore relationships between observations of pest spread and climate change impacts. Our results suggest(i) increasing the areas affected by spongy moth due to its sensitivity on UVR in May, and(ii) altitudinal spreading of brown-tail moth population up to 800 - 1000 m.This research indicates that in situ forest observations in Serbia are not only affected by climate change, but also by the combined effect of climate on forest pests. For fur-ther research, we recommend exploring other forest stressors or dieback phenomena in European forests by applying the same or similar regional climate model dataset.",
journal = "Austrian Journal of Forest Science",
title = "Impact of UV radiation and temperature on the spongy moth and the brown-tail moth in Serbia",
pages = "20-1",
number = "1",
volume = "140",
url = "conv_1697"
}

Milanović, S., Mihailović, D. T., Lakićević, M., Đurđević, V., Malinović-Milicević, S., Milanović, S. D.,& Trailović, Z.. (2023). Impact of UV radiation and temperature on the spongy moth and the brown-tail moth in Serbia. in Austrian Journal of Forest Science, 140(1), 1-20.
conv_1697

Milanović S, Mihailović DT, Lakićević M, Đurđević V, Malinović-Milicević S, Milanović SD, Trailović Z. Impact of UV radiation and temperature on the spongy moth and the brown-tail moth in Serbia. in Austrian Journal of Forest Science. 2023;140(1):1-20.
conv_1697 .

Milanović, Slobodan, Mihailović, Dragutin T., Lakićević, Milena, Đurđević, Vladimir, Malinović-Milicević, Slavica, Milanović, Slađan D., Trailović, Zoran, "Impact of UV radiation and temperature on the spongy moth and the brown-tail moth in Serbia" in Austrian Journal of Forest Science, 140, no. 1 (2023):1-20,
conv_1697 .

TY  - JOUR
AU  - Milanović, Slobodan
AU  - Miletić, Zoran
AU  - Marković, Čedomir
AU  - Seslija Jovanović, Darka
AU  - Trailović, Zoran
AU  - Jankovsky, Libor
AU  - Lazarević, Jelica
PY  - 2022
UR  - https://omorika.sfb.bg.ac.rs/handle/123456789/1283
AB  - Pest resistance of trees should be taken into account in future forest strategy planning and predicting risks of defoliation. The gypsy moth (GM) (Lymantria dispar L.) is a serious forest pest with outbreaking population dynamics. To estimate defoliation risk of the most widely distributed tree species in Balkan Peninsula and Europe (Turkey oak Quercus cerris L., European beech Fagus sylvatica L. and hornbeam Carpinus betulus L.), we carried out laboratory feeding trials and investigated their acceptability and suitability for GM development. We determined morphological and chemical attributes of these hosts as well as larval host preference, growth and nutritional indices. Preference, growth, and efficiency of food conversion into biomass were ranked in the order: Turkey oak  gt  European beech  gt  hornbeam. Hornbeam was the most avoided and showed the lowest conversion efficiency although, comparing to optimal oak host, its leaves were less tough, contained more water and exhibited similar values of nitrogen (index of protein content) and C/N ratio (index of investment into carbon based plant defense). We suggest that hornbeam and beech leaf chemical profiles should be further studied to reveal specific compounds that impose high metabolic cost to GM larvae. Moreover, additional research are needed to understand how intermediate hosts in natural populations affect GM outbreaks.
T2  - Forests
T1  - Suitability of Turkey Oak, European Beech, and Hornbeam to Gypsy Moth Feeding
IS  - 7
VL  - 13
DO  - 10.3390/f13071006
UR  - conv_1651
ER  - 

@article{
author = "Milanović, Slobodan and Miletić, Zoran and Marković, Čedomir and Seslija Jovanović, Darka and Trailović, Zoran and Jankovsky, Libor and Lazarević, Jelica",
year = "2022",
abstract = "Pest resistance of trees should be taken into account in future forest strategy planning and predicting risks of defoliation. The gypsy moth (GM) (Lymantria dispar L.) is a serious forest pest with outbreaking population dynamics. To estimate defoliation risk of the most widely distributed tree species in Balkan Peninsula and Europe (Turkey oak Quercus cerris L., European beech Fagus sylvatica L. and hornbeam Carpinus betulus L.), we carried out laboratory feeding trials and investigated their acceptability and suitability for GM development. We determined morphological and chemical attributes of these hosts as well as larval host preference, growth and nutritional indices. Preference, growth, and efficiency of food conversion into biomass were ranked in the order: Turkey oak  gt  European beech  gt  hornbeam. Hornbeam was the most avoided and showed the lowest conversion efficiency although, comparing to optimal oak host, its leaves were less tough, contained more water and exhibited similar values of nitrogen (index of protein content) and C/N ratio (index of investment into carbon based plant defense). We suggest that hornbeam and beech leaf chemical profiles should be further studied to reveal specific compounds that impose high metabolic cost to GM larvae. Moreover, additional research are needed to understand how intermediate hosts in natural populations affect GM outbreaks.",
journal = "Forests",
title = "Suitability of Turkey Oak, European Beech, and Hornbeam to Gypsy Moth Feeding",
number = "7",
volume = "13",
doi = "10.3390/f13071006",
url = "conv_1651"
}

Milanović, S., Miletić, Z., Marković, Č., Seslija Jovanović, D., Trailović, Z., Jankovsky, L.,& Lazarević, J.. (2022). Suitability of Turkey Oak, European Beech, and Hornbeam to Gypsy Moth Feeding. in Forests, 13(7).
https://doi.org/10.3390/f13071006
conv_1651

Milanović S, Miletić Z, Marković Č, Seslija Jovanović D, Trailović Z, Jankovsky L, Lazarević J. Suitability of Turkey Oak, European Beech, and Hornbeam to Gypsy Moth Feeding. in Forests. 2022;13(7).
doi:10.3390/f13071006
conv_1651 .

Milanović, Slobodan, Miletić, Zoran, Marković, Čedomir, Seslija Jovanović, Darka, Trailović, Zoran, Jankovsky, Libor, Lazarević, Jelica, "Suitability of Turkey Oak, European Beech, and Hornbeam to Gypsy Moth Feeding" in Forests, 13, no. 7 (2022),
https://doi.org/10.3390/f13071006 .,
conv_1651 .