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Grassland model based evaluation of drought indices : A case study from the Slovenian alpine region
ID Pogačar, Tjaša (Author), ID Žnidaršič, Zala (Author), ID Vlahović, Živa (Author), ID Črepinšek, Zalika (Author), ID Sušnik, Andreja (Author)

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Abstract
Considering that the relationships between agrometeorological drought indices and the impact of agricultural drought in Slovenia are not yet well understood, the aim of this study was to make an indicative evaluation of the success of selected drought indices, addressing topsoil layer and vegetation condition, in detecting drought in agriculture. In this study, the performance of two established drought indices—the SPEI (standardised precipitation evapotranspiration index) and the VHI (vegetation health index)—was evaluated with respect to yield values calculated with the LINGRA-N model, specifically, the ratio between actual and potential transpiration, also known as drought factor (TRANRF), actual root zone water content (SMACT), leaf area index (LAI), reserve dry weight (WRE), and root dry weight (WRT). The two grassland species selected for analysis were Dactylis glomerata L. (dg) and Lolium perenne L. (lp). For the period 2002–2020 or 2015–2020, three farm sites in Slovenia were considered for evaluation, with two farms at a higher altitude site and one farm at a lower altitude site in the Alpine region. Evaluation of the yield data with the drought indices showed that the r2 values of the linear regression for the selected years with the highest drought impacts (2003, 2013, and 2017) were highest between the two SPEI indices (SPEI-2, SPEI-3) and the model variables TRANRF, SMACT, and WRT, with r2 higher than 0.5 and statistically significant for the lower situated farm in 2013. For 2003 and 2017, the r2 values were less significant as well as for the model variable WRE for all three years selected for analysis (2003, 2013, and 2017).

Language:English
Keywords:yield modelling, agrometeorology, drought, SPEI, standardised precipitation evapotranspiration index, LINGRA-N model, VHI, vegetation health index, Dactylis glomerata, Lolium perenne, grasslands
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:BF - Biotechnical Faculty
Publication status:Published
Publication version:Version of Record
Publication date:13.04.2022
Year:2022
Number of pages:18 str.
Numbering:Vol. 12, Iss. 4
PID:20.500.12556/RUL-136219 This link opens in a new window
UDC:551.5
ISSN on article:2073-4395
DOI:10.3390/agronomy12040936 This link opens in a new window
COBISS.SI-ID:105352963 This link opens in a new window
Publication date in RUL:20.04.2022
Views:607
Downloads:97
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Record is a part of a journal

Title:Agronomy
Shortened title:Agronomy
Publisher:MDPI
ISSN:2073-4395
COBISS.SI-ID:522953241 This link opens in a new window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:13.04.2022

Secondary language

Language:Slovenian
Keywords:agrometeorologija, modeliranje, pridelek, trave, suša, vegetacijski indeks, standardiziran padavinski indeks, evapotranspiracija, pridelek

Projects

Funder:Other - Other funder or multiple funders
Funding programme:Alpine Space Programme (2018–2021)
Name:Alpine Drought Observatory project
Acronym:ADO

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