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 Bibliografske baze podataka

Pregled bibliografske jedinice broj: 731763

Časopis

Autori: Lalić, Branislava; Eitzinger, Josef; Thaler, Sabina; Vučetić, Višnjica; Nejedlik, Pavol; Eckersten, Henrik; Jačimović, Goran; Nikolić-Đorić, Emilija
Naslov: Can Agrometeorological Indices of Adverse Weather Conditions Help to Improve Yield Prediction by Crop Models?
( Can Agrometeorological Indices of Adverse Weather Conditions Help to Improve Yield Prediction by Crop Models? )
Izvornik: Atmosphere (2073-4433) 5 (2014), 4; 1020-1041
Vrsta rada: članak
Ključne riječi: extreme weather event; crop models; plant vulnerability; yields
( extreme weather event; crop models; plant vulnerability; yields )
Sažetak:
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.
Projekt / tema: 004-1193086-3035
Izvorni jezik: eng
Rad je indeksiran u
bazama podataka:
Current Contents Connect (CCC)
Scopus
SCI-EXP, SSCI i/ili A&HCI
Science Citation Index Expanded (SCI-EXP) (sastavni dio Web of Science Core Collectiona)
Kategorija: Znanstveni
Znanstvena područja:
Geologija
Puni text rada: 731763.atmosphere-05-01020.pdf (tekst priložen 22. Tra. 2015. u 10:39 sati)
URL Internet adrese: http://www.mdpi.com/2073-4433/5/4/1020
Broj citata:
Altmetric:
DOI: 10.3390/atmos5041020
URL cjelovitog teksta:
Časopis izlazi u samo elektroničkom izdanju: DA
Google Scholar: Can Agrometeorological Indices of Adverse Weather Conditions Help to Improve Yield Prediction by Crop Models?
Upisao u CROSBI: Višnjica Vučetić (vucetic@cirus.dhz.hr), 20. Stu. 2014. u 11:17 sati



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