Copulas modelling of maize yield losses – drought compound events using the multiple remote sensing indices over the Danube River Basin

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F23%3A95228" target="_blank" >RIV/60460709:41210/23:95228 - isvavai.cz</a>

Alternative codes found

RIV/86652079:_____/23:00571057

Result on the web

<a href="https://www.sciencedirect.com/science/article/pii/S0378377423000823" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0378377423000823</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.agwat.2023.108217" target="_blank" >10.1016/j.agwat.2023.108217</a>

Result language

angličtina

Original language name

Copulas modelling of maize yield losses – drought compound events using the multiple remote sensing indices over the Danube River Basin

Original language description

Danube countries have witnessed numerous waves of drought events, causing significant agro-economic loss, but three consecutive dry years amplified the debate on how to deal with future drought risk. The European drought of 2022 has shown how important it is to look at food security from an environmental droughts risk assessment approach. The coupling drought–yield losses framework derives from the understanding that all land systems are connected through coupled human and natural systems, and these social, ecological, and agro-economic impacts are the result. Maize is considered a commodity and a staple food in Europe with the largest market share in global maize exports. Drought–heat stress, war and subsequent limitations on Ukrainian trade have created a shortage of maize supply in 2022 over Europe. This study focused on eighteen countries where maize production becomes highly susceptible to drought in the Danube River Basin (DRB; Austria, Bosnia and Herzegovina, Bulgaria, Croatia, the Czech Republic, Hungary, Montenegro, Romania, Serbia, Slovakia, and Slovenia). To understand the coupling drought–yield losses mechanism, time series of maize yield datasets and multiple remote sensing indices were used on arable lands for 278 districts at a high spatial resolution. The main objective of this study was to determine which regions respond to the changes in the rate of evapotranspiration and soil moisture and in which period and how much maize production is affected. The time series of the two-band enhanced vegetation index (EVI2), the evaporative stress index (ESI), and the relative water availability (AWR) were calculated. The spatial evolution of the ESI for 4-week and 12-week time windows, EVI2, and relative soil saturation at the topsoil and rootzone layers demonstrate the progress of agricultural drought under varying agroclimatic conditions and its impacts on maize yields. Our study adopted a novel mechanism-based risk assessment approach using a four-variate C-vine copula in the perspective of modelling yield losses. To assess how much maize production can be limited by drought stress, the weekly dynamics of the strength of bivariate linkage of eight compound modes were provided. The return periods of drought–yield losses signatures in the study region were less than 4 years. The highest chances (once every 2.50–2.86 years) of the occurrence of drought–yield losses signature occurred in Romania, Bulgaria, Slovakia, Bosnia and Herzegovina. The availability of soil water is one of the crucial indicators (AWR40) that explain the high degree of yield variability. This is an alarming finding given the expected or increasing year-to-year variability in soil moisture in these regions. The joint cumulative distribution function (FCROP, ESI, AWR40, AWR100) suggests that shorter-term ESI will be most beneficial for maize yield estimation in agricultural districts where crop productivity is primarily impaired by warmer and drier events. This combination of effects can cause short-term compound hot and dry extremes characterized by rapid onset, severe intensity, and devastating impacts on crop production. Droughts between 2015 and 2022 challenged governments across the Danube basin and highlighted the need for intergovernmental interactions and coordination. For the DRB area, user-oriented drought monitoring portals are already providing real-time information about drought occurrences and intensity to practitioners, but drought-yield loss assessments for such predictions for most of the region have been lacking.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10509 - Meteorology and atmospheric sciences

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2023

Confidentiality

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

Name of the periodical

AGRICULTURAL WATER MANAGEMENT

ISSN

0378-3774

e-ISSN

1873-2283

Volume of the periodical

280

Issue of the periodical within the volume

APR 30 2023

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

21

Pages from-to

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UT code for WoS article

000953214600001

EID of the result in the Scopus database

2-s2.0-85147548036