TY  - JOUR
AU  - Vuković Vimić, Ana
AU  - Djurdjević, Vladimir
AU  - Ranković-Vasić, Zorica
AU  - Nikolić, Dragan
AU  - Ćosić, Marija
AU  - Lipovac, Aleksa
AU  - Cvetković, Bojan
AU  - Sotonica, Dunja
AU  - Vojvodić, Dijana
AU  - Vujadinović Mandić, Mirjam
PY  - 2022
UR  - https://www.mdpi.com/2073-4433/13/8/1337
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/6167
AB  - The Integrated Agrometeorological Prediction System (IAPS) was a two-year project for the development of the long term forecast (LRF) for agricultural producers. Using LRF in decision-making, to reduce the risks and seize the opportunities, represents short-term adaptation to climate change. High-resolution ensemble forecasts (51 forecasts) were made for a period of 7 months and were initiated on the first day of each month. For the initial testing of the capacity of LRF to provide useful information for producers, 2017 was chosen as the test year as it had a very hot summer and severe drought, which caused significant impacts on agricultural production. LRF was very useful in predicting the variables which bear the memory of the longer period, such are growing degree days for the prediction of dates of the phenophases’ occurrences and the soil moisture of deeper soil layers as an indicator for the drought. Other project activities included field observations, communication with producers, web portal development, etc. Our results showed that the selected priority forecasting products were also identified by the producers as being the highest weather-related risks, the operational forecast implementation with the products designed for the use in agricultural production is proven to be urgent and necessary for decision-making, and required investments are affordable. The total cost of the full upgrade of agrometeorological climate services to meet current needs (including monitoring, seamless forecasting system development and the development of tools for information dissemination) was found to be about three orders of magnitude lower than the assessed losses in agricultural production in the two extreme years over the past decade.
T2  - Atmosphere
T2  - Atmosphere
T1  - Enhancing Capacity for Short-Term Climate Change Adaptations in Agriculture in Serbia: Development of Integrated Agrometeorological Prediction System
IS  - 8
SP  - 1337
VL  - 13
DO  - 10.3390/atmos13081337
ER  - 

@article{
author = "Vuković Vimić, Ana and Djurdjević, Vladimir and Ranković-Vasić, Zorica and Nikolić, Dragan and Ćosić, Marija and Lipovac, Aleksa and Cvetković, Bojan and Sotonica, Dunja and Vojvodić, Dijana and Vujadinović Mandić, Mirjam",
year = "2022",
abstract = "The Integrated Agrometeorological Prediction System (IAPS) was a two-year project for the development of the long term forecast (LRF) for agricultural producers. Using LRF in decision-making, to reduce the risks and seize the opportunities, represents short-term adaptation to climate change. High-resolution ensemble forecasts (51 forecasts) were made for a period of 7 months and were initiated on the first day of each month. For the initial testing of the capacity of LRF to provide useful information for producers, 2017 was chosen as the test year as it had a very hot summer and severe drought, which caused significant impacts on agricultural production. LRF was very useful in predicting the variables which bear the memory of the longer period, such are growing degree days for the prediction of dates of the phenophases’ occurrences and the soil moisture of deeper soil layers as an indicator for the drought. Other project activities included field observations, communication with producers, web portal development, etc. Our results showed that the selected priority forecasting products were also identified by the producers as being the highest weather-related risks, the operational forecast implementation with the products designed for the use in agricultural production is proven to be urgent and necessary for decision-making, and required investments are affordable. The total cost of the full upgrade of agrometeorological climate services to meet current needs (including monitoring, seamless forecasting system development and the development of tools for information dissemination) was found to be about three orders of magnitude lower than the assessed losses in agricultural production in the two extreme years over the past decade.",
journal = "Atmosphere, Atmosphere",
title = "Enhancing Capacity for Short-Term Climate Change Adaptations in Agriculture in Serbia: Development of Integrated Agrometeorological Prediction System",
number = "8",
pages = "1337",
volume = "13",
doi = "10.3390/atmos13081337"
}

Vuković Vimić, A., Djurdjević, V., Ranković-Vasić, Z., Nikolić, D., Ćosić, M., Lipovac, A., Cvetković, B., Sotonica, D., Vojvodić, D.,& Vujadinović Mandić, M.. (2022). Enhancing Capacity for Short-Term Climate Change Adaptations in Agriculture in Serbia: Development of Integrated Agrometeorological Prediction System. in Atmosphere, 13(8), 1337.
https://doi.org/10.3390/atmos13081337

Vuković Vimić A, Djurdjević V, Ranković-Vasić Z, Nikolić D, Ćosić M, Lipovac A, Cvetković B, Sotonica D, Vojvodić D, Vujadinović Mandić M. Enhancing Capacity for Short-Term Climate Change Adaptations in Agriculture in Serbia: Development of Integrated Agrometeorological Prediction System. in Atmosphere. 2022;13(8):1337.
doi:10.3390/atmos13081337 .

Vuković Vimić, Ana, Djurdjević, Vladimir, Ranković-Vasić, Zorica, Nikolić, Dragan, Ćosić, Marija, Lipovac, Aleksa, Cvetković, Bojan, Sotonica, Dunja, Vojvodić, Dijana, Vujadinović Mandić, Mirjam, "Enhancing Capacity for Short-Term Climate Change Adaptations in Agriculture in Serbia: Development of Integrated Agrometeorological Prediction System" in Atmosphere, 13, no. 8 (2022):1337,
https://doi.org/10.3390/atmos13081337 . .

TY  - JOUR
AU  - Vuković Vimić, Ana
AU  - Đurđević, Vladimir
AU  - Ranković Vasić, Zorica
AU  - Nikolić, Dragan
AU  - Ćosić, Marija
AU  - Lipovac, Aleksa
AU  - Cvetković, Bojan
AU  - Sotonica, Dunja
AU  - Vojvodić, Dijana
AU  - Vujadinovic Mandić, Mirjam
PY  - 2022
UR  - https://www.mdpi.com/2073-4433/13/8/1337
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/6722
AB  - The Integrated Agrometeorological Prediction System (IAPS) was a two-year project for the development of the long term forecast (LRF) for agricultural producers. Using LRF in decision-making, to reduce the risks and seize the opportunities, represents short-term adaptation to climate change. High-resolution ensemble forecasts (51 forecasts) were made for a period of 7 months and were initiated on the first day of each month. For the initial testing of the capacity of LRF to provide useful information for producers, 2017 was chosen as the test year as it had a very hot summer and severe drought, which caused significant impacts on agricultural production. LRF was very useful in predicting the variables which bear the memory of the longer period, such are growing degree days for the prediction of dates of the phenophases’ occurrences and the soil moisture of deeper soil layers as an indicator for the drought. Other project activities included field observations, communication with producers, web portal development, etc. Our results showed that the selected priority forecasting products were also identified by the producers as being the highest weather-related risks, the operational forecast implementation with the products designed for the use in agricultural production is proven to be urgent and necessary for decision-making, and required investments are affordable. The total cost of the full upgrade of agrometeorological climate services to meet current needs (including monitoring, seamless forecasting system development and the development of tools for information dissemination) was found to be about three orders of magnitude lower than the assessed losses in agricultural production in the two extreme years over the past decade.
PB  - MDPI
T1  - Enhancing Capacity for Short-Term Climate Change Adaptations in Agriculture in Serbia: Development of Integrated Agrometeorological Prediction System
IS  - 8
VL  - 13
DO  - 10.3390/atmos13081337
ER  - 

@article{
author = "Vuković Vimić, Ana and Đurđević, Vladimir and Ranković Vasić, Zorica and Nikolić, Dragan and Ćosić, Marija and Lipovac, Aleksa and Cvetković, Bojan and Sotonica, Dunja and Vojvodić, Dijana and Vujadinovic Mandić, Mirjam",
year = "2022",
abstract = "The Integrated Agrometeorological Prediction System (IAPS) was a two-year project for the development of the long term forecast (LRF) for agricultural producers. Using LRF in decision-making, to reduce the risks and seize the opportunities, represents short-term adaptation to climate change. High-resolution ensemble forecasts (51 forecasts) were made for a period of 7 months and were initiated on the first day of each month. For the initial testing of the capacity of LRF to provide useful information for producers, 2017 was chosen as the test year as it had a very hot summer and severe drought, which caused significant impacts on agricultural production. LRF was very useful in predicting the variables which bear the memory of the longer period, such are growing degree days for the prediction of dates of the phenophases’ occurrences and the soil moisture of deeper soil layers as an indicator for the drought. Other project activities included field observations, communication with producers, web portal development, etc. Our results showed that the selected priority forecasting products were also identified by the producers as being the highest weather-related risks, the operational forecast implementation with the products designed for the use in agricultural production is proven to be urgent and necessary for decision-making, and required investments are affordable. The total cost of the full upgrade of agrometeorological climate services to meet current needs (including monitoring, seamless forecasting system development and the development of tools for information dissemination) was found to be about three orders of magnitude lower than the assessed losses in agricultural production in the two extreme years over the past decade.",
publisher = "MDPI",
title = "Enhancing Capacity for Short-Term Climate Change Adaptations in Agriculture in Serbia: Development of Integrated Agrometeorological Prediction System",
number = "8",
volume = "13",
doi = "10.3390/atmos13081337"
}

Vuković Vimić, A., Đurđević, V., Ranković Vasić, Z., Nikolić, D., Ćosić, M., Lipovac, A., Cvetković, B., Sotonica, D., Vojvodić, D.,& Vujadinovic Mandić, M.. (2022). Enhancing Capacity for Short-Term Climate Change Adaptations in Agriculture in Serbia: Development of Integrated Agrometeorological Prediction System. 
MDPI., 13(8).
https://doi.org/10.3390/atmos13081337

Vuković Vimić A, Đurđević V, Ranković Vasić Z, Nikolić D, Ćosić M, Lipovac A, Cvetković B, Sotonica D, Vojvodić D, Vujadinovic Mandić M. Enhancing Capacity for Short-Term Climate Change Adaptations in Agriculture in Serbia: Development of Integrated Agrometeorological Prediction System. 2022;13(8).
doi:10.3390/atmos13081337 .

Vuković Vimić, Ana, Đurđević, Vladimir, Ranković Vasić, Zorica, Nikolić, Dragan, Ćosić, Marija, Lipovac, Aleksa, Cvetković, Bojan, Sotonica, Dunja, Vojvodić, Dijana, Vujadinovic Mandić, Mirjam, "Enhancing Capacity for Short-Term Climate Change Adaptations in Agriculture in Serbia: Development of Integrated Agrometeorological Prediction System", 13, no. 8 (2022),
https://doi.org/10.3390/atmos13081337 . .