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Grid based monitoring and forecasting system of cropping conditions and risks by agrometeorological indicators in Austria Agricultural Risk Information System ARIS

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F24%3A00587769" target="_blank" >RIV/86652079:_____/24:00587769 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://www.sciencedirect.com/science/article/pii/S2405880724000335?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2405880724000335?via%3Dihub</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.cliser.2024.100478" target="_blank" >10.1016/j.cliser.2024.100478</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Grid based monitoring and forecasting system of cropping conditions and risks by agrometeorological indicators in Austria Agricultural Risk Information System ARIS

  • Popis výsledku v původním jazyce

    ARIS (Agricultural Risk Information System) is a GIS (Geographical Information System)-based modelling system (applicable for hind-casting, weather observations and forecasting as well as climate scenario projections) for a number of weather-related abiotic and biotic cropping risks, crop management and growing conditions. In our study we demonstrate and describe the functionality and characteristics of ARIS on Austrian conditions and domain. ARIS indicators can be applied for different time periods on a daily base and a spatial grid of 1 km for weather/climate conditions (0,5 km for soil conditions based on the available Austrian soil map). The currently implemented indicators for general cropping conditions or risks are based on daily weather variables, partly combined with soil wetness, regardless other potential (not weather related) limitations. Crop specific risk indicators are based on algorithms for phenological development of currently 5 main crops and include especially the soil-crop water balance and combined drought and heat stress effects. Biotic indicators include pests and diseases of importance for Austrian conditions. ARIS allows the combined assessment of abiotic and biotic risks during crop growing seasons and thus provides a wide set of information for decision support or strategic planning for stakeholders in the agricultural sector. The system has the potential to be adapted for diverse agroecosystems or be extended by further weather related abiotic or biotic indicators or crop types, if the necessary (grid based) input data formats are available.

  • Název v anglickém jazyce

    Grid based monitoring and forecasting system of cropping conditions and risks by agrometeorological indicators in Austria Agricultural Risk Information System ARIS

  • Popis výsledku anglicky

    ARIS (Agricultural Risk Information System) is a GIS (Geographical Information System)-based modelling system (applicable for hind-casting, weather observations and forecasting as well as climate scenario projections) for a number of weather-related abiotic and biotic cropping risks, crop management and growing conditions. In our study we demonstrate and describe the functionality and characteristics of ARIS on Austrian conditions and domain. ARIS indicators can be applied for different time periods on a daily base and a spatial grid of 1 km for weather/climate conditions (0,5 km for soil conditions based on the available Austrian soil map). The currently implemented indicators for general cropping conditions or risks are based on daily weather variables, partly combined with soil wetness, regardless other potential (not weather related) limitations. Crop specific risk indicators are based on algorithms for phenological development of currently 5 main crops and include especially the soil-crop water balance and combined drought and heat stress effects. Biotic indicators include pests and diseases of importance for Austrian conditions. ARIS allows the combined assessment of abiotic and biotic risks during crop growing seasons and thus provides a wide set of information for decision support or strategic planning for stakeholders in the agricultural sector. The system has the potential to be adapted for diverse agroecosystems or be extended by further weather related abiotic or biotic indicators or crop types, if the necessary (grid based) input data formats are available.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    10509 - Meteorology and atmospheric sciences

Návaznosti výsledku

  • Projekt

    <a href="/cs/project/EH22_008%2F0004635" target="_blank" >EH22_008/0004635: AdAgriF - Pokročilé metody redukce emisí a sekvestrace skleníkových plynů v zemědělské a lesní krajině pro mitigaci změny klimatu</a><br>

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2024

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    Climate Services

  • ISSN

    2405-8807

  • e-ISSN

    2405-8807

  • Svazek periodika

    34

  • Číslo periodika v rámci svazku

    APR

  • Stát vydavatele periodika

    NL - Nizozemsko

  • Počet stran výsledku

    17

  • Strana od-do

    100478

  • Kód UT WoS článku

    001238524900001

  • EID výsledku v databázi Scopus

    2-s2.0-85191993862