TY  - JOUR
AU  - Miletić, Stefan
AU  - Beloica, Jelena
AU  - Perović, Veljko
AU  - Miljković, Predrag
AU  - Lukić, Sara
AU  - Obradović, Snežana
AU  - Čakmak, Dragan
AU  - Belanović Simić, Snežana
PY  - 2023
UR  - http://radar.ibiss.bg.ac.rs/handle/123456789/6479
AB  - This paper aims to improve the methodology
and results accuracy of MEDALUS model for
assessing land degradation sensitivity through the
application of different data detail levels and by introducing
the application of Ellenberg indices in metrics
related to vegetation drought sensitivity assessment.
For that purpose, the MEDALUS model was applied
at 2 levels of detail. Level I (municipality level)
implied the use of available large-scale databases and
level II (watershed) contains more detailed information
about vegetation used in the calculation of the
VQI and MQI factors (Fig. S6). The comparison
was made using data based on CORINE Land Cover
(2012) and forest inventory data, complemented with
object-based classification. Results showed that data
based on forest inventory data with the application
of Ellenberg’s indices and object-based classification
have one class more, critical (C1 and C2) and that
the percentage distribution of classes is different in
both quantitative (area size of class sensitivity) and
qualitative (aggregation and dispersion of sensitivity
classes). The use of data from Forest Management
Plans and the application of Ellenberg’s indices affect
the quality of the results and find its application in the
model, especially if these results are used for monitoring
and land area management on fine scales. Remote
sensed data images (Sentinel-2B) were introduced
into the methodology as a very important environmental
monitoring tool and model results validation.
PB  - Dordrecht: Springer
T2  - Environmental Monitoring and Assessment
T1  - Environmental sensitivity assessment and land degradation in southeastern Serbia: application of modifed MEDALUS model
VL  - 195
DO  - 10.1007/s10661-023-11761-1
SP  - 1241
ER  - 

@article{
author = "Miletić, Stefan and Beloica, Jelena and Perović, Veljko and Miljković, Predrag and Lukić, Sara and Obradović, Snežana and Čakmak, Dragan and Belanović Simić, Snežana",
year = "2023",
abstract = "This paper aims to improve the methodology
and results accuracy of MEDALUS model for
assessing land degradation sensitivity through the
application of different data detail levels and by introducing
the application of Ellenberg indices in metrics
related to vegetation drought sensitivity assessment.
For that purpose, the MEDALUS model was applied
at 2 levels of detail. Level I (municipality level)
implied the use of available large-scale databases and
level II (watershed) contains more detailed information
about vegetation used in the calculation of the
VQI and MQI factors (Fig. S6). The comparison
was made using data based on CORINE Land Cover
(2012) and forest inventory data, complemented with
object-based classification. Results showed that data
based on forest inventory data with the application
of Ellenberg’s indices and object-based classification
have one class more, critical (C1 and C2) and that
the percentage distribution of classes is different in
both quantitative (area size of class sensitivity) and
qualitative (aggregation and dispersion of sensitivity
classes). The use of data from Forest Management
Plans and the application of Ellenberg’s indices affect
the quality of the results and find its application in the
model, especially if these results are used for monitoring
and land area management on fine scales. Remote
sensed data images (Sentinel-2B) were introduced
into the methodology as a very important environmental
monitoring tool and model results validation.",
publisher = "Dordrecht: Springer",
journal = "Environmental Monitoring and Assessment",
title = "Environmental sensitivity assessment and land degradation in southeastern Serbia: application of modifed MEDALUS model",
volume = "195",
doi = "10.1007/s10661-023-11761-1",
pages = "1241"
}

Miletić, S., Beloica, J., Perović, V., Miljković, P., Lukić, S., Obradović, S., Čakmak, D.,& Belanović Simić, S.. (2023). Environmental sensitivity assessment and land degradation in southeastern Serbia: application of modifed MEDALUS model. in Environmental Monitoring and Assessment
Dordrecht: Springer., 195, 1241.
https://doi.org/10.1007/s10661-023-11761-1

Miletić S, Beloica J, Perović V, Miljković P, Lukić S, Obradović S, Čakmak D, Belanović Simić S. Environmental sensitivity assessment and land degradation in southeastern Serbia: application of modifed MEDALUS model. in Environmental Monitoring and Assessment. 2023;195:1241.
doi:10.1007/s10661-023-11761-1 .

Miletić, Stefan, Beloica, Jelena, Perović, Veljko, Miljković, Predrag, Lukić, Sara, Obradović, Snežana, Čakmak, Dragan, Belanović Simić, Snežana, "Environmental sensitivity assessment and land degradation in southeastern Serbia: application of modifed MEDALUS model" in Environmental Monitoring and Assessment, 195 (2023):1241,
https://doi.org/10.1007/s10661-023-11761-1 . .

TY  - CHAP
AU  - Beloica, Jelena
AU  - Čakmak, Dragan
AU  - Caković, Milica
AU  - Novaković, Angelina
AU  - Stojkanović, Ana
PY  - 2022
UR  - http://radar.ibiss.bg.ac.rs/handle/123456789/5706
AB  - Mathematical models are an important tool for assessing the degree of degradation of natural ecosystems caused by anthropogenic impact to provide relevant information to decision-makers to improve the quality of the environment globally, regionally and locally. The paper presents various methods for assessing the susceptibility of soil to acidification. Methods and models are presented concerning the complexity of available databases and the model's applicability scope. The process of acidification of natural ecosystems has reached a global scale after several ecological catastrophes caused by increased emissions of acid oxides in the 1970s. To overcome this problem, the LRTAP conventions with eight protocols has been established to control and reduce emissions of pollutants to preserve the quality of the environment and natural ecosystems. Through the LRTAP convention protocols, different mathematical models have been developed to assess the impact of air pollution on natural ecosystems. Within the framework of this convention, the concept of forest ecosystem monitoring (ICPF) and "Critical Loads" concept has been established to define maximum concentrations of air pollutants at which the structure and functions of terrestrial and aquatic ecosystems remain stable in the long run. This concept and its models have been intensively upgraded since the 1980s, and the latest requirements in the development of dynamic models go in implementation in integrated assessment models and so-called "Scenario Analysis". t should also be born in mind that good predictable capabilities of the model require relevant formulations of ecosystem processes, which can be established only based on quality databasis in longer time series. It is very difficult to validate the output data of models dealing with natural processes. To overcome this problem to a certain extant, it is very important to support further ecosystem monitoring on different scales and scopes and to apply a multi-model approach to explain a natural phenomenon.
PB  - Belgrade: Faculty of Forestry
T2  - Procena degradacije zemljišta: metode i modeli
T1  - Методе и модели за процену осетљивости земљишта на процес ацидификације
T1  - Methods and models for assessing the sensitivity of soil to the acidification
SP  - 352
EP  - 380
UR  - https://hdl.handle.net/21.15107/rcub_ibiss_5706
ER  - 

@inbook{
author = "Beloica, Jelena and Čakmak, Dragan and Caković, Milica and Novaković, Angelina and Stojkanović, Ana",
year = "2022",
abstract = "Mathematical models are an important tool for assessing the degree of degradation of natural ecosystems caused by anthropogenic impact to provide relevant information to decision-makers to improve the quality of the environment globally, regionally and locally. The paper presents various methods for assessing the susceptibility of soil to acidification. Methods and models are presented concerning the complexity of available databases and the model's applicability scope. The process of acidification of natural ecosystems has reached a global scale after several ecological catastrophes caused by increased emissions of acid oxides in the 1970s. To overcome this problem, the LRTAP conventions with eight protocols has been established to control and reduce emissions of pollutants to preserve the quality of the environment and natural ecosystems. Through the LRTAP convention protocols, different mathematical models have been developed to assess the impact of air pollution on natural ecosystems. Within the framework of this convention, the concept of forest ecosystem monitoring (ICPF) and "Critical Loads" concept has been established to define maximum concentrations of air pollutants at which the structure and functions of terrestrial and aquatic ecosystems remain stable in the long run. This concept and its models have been intensively upgraded since the 1980s, and the latest requirements in the development of dynamic models go in implementation in integrated assessment models and so-called "Scenario Analysis". t should also be born in mind that good predictable capabilities of the model require relevant formulations of ecosystem processes, which can be established only based on quality databasis in longer time series. It is very difficult to validate the output data of models dealing with natural processes. To overcome this problem to a certain extant, it is very important to support further ecosystem monitoring on different scales and scopes and to apply a multi-model approach to explain a natural phenomenon.",
publisher = "Belgrade: Faculty of Forestry",
journal = "Procena degradacije zemljišta: metode i modeli",
booktitle = "Методе и модели за процену осетљивости земљишта на процес ацидификације, Methods and models for assessing the sensitivity of soil to the acidification",
pages = "352-380",
url = "https://hdl.handle.net/21.15107/rcub_ibiss_5706"
}

Beloica, J., Čakmak, D., Caković, M., Novaković, A.,& Stojkanović, A.. (2022). Методе и модели за процену осетљивости земљишта на процес ацидификације. in Procena degradacije zemljišta: metode i modeli
Belgrade: Faculty of Forestry., 352-380.
https://hdl.handle.net/21.15107/rcub_ibiss_5706

Beloica J, Čakmak D, Caković M, Novaković A, Stojkanović A. Методе и модели за процену осетљивости земљишта на процес ацидификације. in Procena degradacije zemljišta: metode i modeli. 2022;:352-380.
https://hdl.handle.net/21.15107/rcub_ibiss_5706 .

Beloica, Jelena, Čakmak, Dragan, Caković, Milica, Novaković, Angelina, Stojkanović, Ana, "Методе и модели за процену осетљивости земљишта на процес ацидификације" in Procena degradacije zemljišta: metode i modeli (2022):352-380,
https://hdl.handle.net/21.15107/rcub_ibiss_5706 .