Grassland Model Based Evaluation of Drought Indices: A Case Study from the Slovenian Alpine Region

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