in eastern austria, alfalfa is usually grown as a rainfed crop in crop rotations in organic farming systems, where yearto- year rainfall fluctuations cause different levels of drought stress. to identify the suitability of different alfalfa genotypes and drought tolerance indices, 18 contrasting alfalfa genotypes were evaluated under irrigated and rainfed conditions at the research station of t...

Objective: In order to study genetic variation and effect of drought stress on grain yield and some morphological traits in chickpea, an experiment was conducted on 64 genotypes during 2013-2014 cropping season at deputy of Kermanshah Sararood Dry Land Agricultural Research Institute, located on the western part of Iran. Methods: The experimental design was a randomized lattice design with tow ...

Objective: In order to study genetic variation and effect of drought stress on grain yield and some morphological traits in chickpea, an experiment was conducted on 64 genotypes during 2013-2014 cropping season at deputy of Kermanshah Sararood Dry Land Agricultural Research Institute, located on the western part of Iran. Methods: The experimental design was a randomized lattice design with tow ...

Drought monitoring is a fundamental component of drought risk management. It is normally performed usingvarious drought indices that are effectively continuous functions of rainfall and other hydrometeorological variables.In many instances, drought indices are used for monitoring purposes. Geostatistical methods allow the interpolationof spatially referenced data and the prediction of values fo...

Current methods for climate change assessment ignore the significant differences in uncertainty model projections of two key constituents drought, precipitation, and evapotranspiration. We present here a new basis assessing future drought using simulations that addresses this limitation. The method estimates Standardized Precipitation Evapotranspiration Index (SPEI) two-stage process. first sta...

Long-term streamflow data are vital for analysis of hydrological droughts. Using an artificial neural network (ANN) model and nine tree-ring indices, this study reconstructed the annual streamflow of the Sacramento River for the period from 1560 to 1871. Using the reconstructed streamflow data, the copula method was used for bivariate drought analysis, deriving a hydrological drought return per...

In recent decades, the area and proportion of planted forests have increased; thus, understanding the responses of planted and natural forests to drought are crucial because it forms the basis for forest risk assessments and management strategies. In this study, we combined the moderate-resolution imaging spectroradiometer (MODIS) enhanced vegetation index (EVI), meteorological aridity indices,...

The reliability of standard meteorological drought indices based on measurements of precipitation is limited by the spatial distribution and quality of currently available rainfall data. Furthermore, they reflect only one component of the surface hydrologic cycle, and they cannot readily capture nonprecipitation-based moisture inputs to the land surface system (e.g., irrigation) that may temper...