Nalazite se na CroRIS probnoj okolini. Ovdje evidentirani podaci neće biti pohranjeni u Informacijskom sustavu znanosti RH. Ako je ovo greška, CroRIS produkcijskoj okolini moguće je pristupi putem poveznice www.croris.hr
izvor podataka: crosbi

Can Agrometeorological Indices of Adverse Weather Conditions Help to Improve Yield Prediction by Crop Models? (CROSBI ID 211896)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Lalić, Branislava ; Eitzinger, Josef ; Thaler, Sabina ; Vučetić, Višnjica ; Nejedlik, Pavol ; Eckersten, Henrik ; Jačimović, Goran ; Nikolić-Đorić, Emilija Can Agrometeorological Indices of Adverse Weather Conditions Help to Improve Yield Prediction by Crop Models? // Atmosphere, 5 (2014), 4; 1020-1041. doi: 10.3390/atmos5041020

Podaci o odgovornosti

Lalić, Branislava ; Eitzinger, Josef ; Thaler, Sabina ; Vučetić, Višnjica ; Nejedlik, Pavol ; Eckersten, Henrik ; Jačimović, Goran ; Nikolić-Đorić, Emilija

engleski

Can Agrometeorological Indices of Adverse Weather Conditions Help to Improve Yield Prediction by Crop Models?

Extreme weather event (EWE) impact on crop production is random in time and space and depends on factors such as severity, previous agrometeorological conditions and plant vulnerability at a specific crop development stage. Any exclusion or improper treatment of any of these factors for yield prediction by crop models can produce significant under- or over-estimation of yield. Inherent uncertainty of soil-plant-atmosphere system increases in presence of EWE implying only consideration of probability of yield realisation scenario instead of certain event itself. Assessment of errors and level of uncertainties in simulations can therefore lead to more efficient use of crop models in presence of EWE, rather than its reduction or elimination. However, a completely statistical "event scenario" approach, based on correlations between agrometeorological indices and long term crop yield and EWE data series, can produce typical scenarios for certain location, crop type and EWE pattern and therefore improve yield forecasting in presence of EWE.

extreme weather event; crop models; plant vulnerability; yields

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

Podaci o izdanju

5 (4)

2014.

1020-1041

objavljeno

2073-4433

10.3390/atmos5041020

Povezanost rada

Geologija

Poveznice
Indeksiranost