Modified version for SPEI to evaluate and modeling the agricultural drought severity

Zarei, Amin; Moghimi, Mohammad Mehdi

doi:10.1007/s00484-019-01704-2

Cited by 48 publications

(15 citation statements)

References 32 publications

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“…Some investigations have warned against ignoring evapotranspiration in drought analysis (Vicente‐Serrano et al ., ; Sun et al ., ; Zhang et al ., ). Some studies have considered ET 0 to characterize the drought conditions in Iran (Zarei et al ., ; Zarei and Moghimi, ). However, the influence of ET 0 inclusion is less studied.…”

Section: Introductionmentioning

confidence: 99%

Drought trend, frequency and extremity across a wide range of climates over Iran

Nouri

Homaee

2020

Meteorological Applications

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This study was conducted to assess drought trend, frequency and extremity during 1966-2012 over widely different climatic regimes in Iran. Two drought indicators, i.e. the standardized precipitation index (SPI) and the standardized precipitation evapotranspiration index (SPEI), were employed to characterize the droughts at 3, 6, 12 and 24 month time scales. In addition, the Mann-Kendall test was used for trend analysis. There was a declining (drying) trend in the SPI and SPEI at 76% and 85% or more, respectively, of the investigated sites. The SPIs were not well correlated with the SPEIs over the hyper-arid/arid regions, demonstrating the significance of reference evapotranspiration (ET 0 ) inclusion for drought identification over these water-limited areas. Furthermore, the SPEI appears not to be calculated reliably using temperature-based ET 0 equations and also when wind speed data are missing at hyper-arid/arid sites. More frequent droughts were detected during 1998-2012, which can be attributed to more recurrent La Niña events in this period. Seasonally, a greater increment in drought frequency at 3 and 6 month time scales was found in the March-April-May period. The most extended droughts and the most intensive dry months were also captured over 1998-2012 for most locations. In the majority of cases, it seems that the La Niña events caused long and severe droughts. The drought frequency increment and the most extreme drought incidences seem to have adversely impacted the agricultural sector over the studied areas. Consequently, there is a need for adaptation to negate the influences of frequent intensive dry episodes in Iran.

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Section: Introductionmentioning

confidence: 99%

Drought trend, frequency and extremity across a wide range of climates over Iran

Nouri

Homaee

2020

Meteorological Applications

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“…Drought is a climatic phenomenon defined by the shortage of precipitation in a region in comparison with its past mean precipitation (Ghorbani et al, 2018). Drought has negative impacts on environments, agriculture, and water resources, especially in regions located between 15 and 45 degrees of latitudes like Iran (Mousavi, 2005; Zarei & Moghimi, 2019). Global warming is intensely affecting the regional and global hydrological cycle and is increasing the frequency of drought events worldwide (Allen & Ingram, 2002; Donat et al, 2016; Sheffield & Wood, 2008; Sun et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Past and future drought trends, duration, and frequency in the semi‐arid Urmia Lake Basin under a changing climate

Mirgol

Nazari

Etedali

et al. 2021

Meteorological Applications

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Although the Urmia Lake has undergone remarkable drought conditions within the past decades mainly due to climate change, drought studies covering the entire Urmia Lake Basin and all drought aspects are lacking. The present study investigated the spatial and temporal drought conditions in the Urmia Lake Basin for the past and future (2021-2050 and 2051-2080) periods using five general circulation models (GCMs) under the IPCC (Intergovernmental Panel on Climate Change) scenarios RCP 2.6, RCP 4.5, and RCP 8.5. The standardized precipitation index (SPI) and standardized precipitation and evapotranspiration index (SPEI) were compared. The SPEI predicted more drought events than the SPI, and it seemed to be a more suitable drought index than the SPI for the basin. In general, the future periods would encounter less drought conditions in terms of significant drought trends and duration than the observed period under all scenarios, but the frequency of quarterly severe drought events in the future periods would be higher than in the observed period. Furthermore, the stations Urmia (western bank) and Tabriz and Maragheh (eastern banks) would face the highest frequency of different types of quarterly drought events in the future periods compared with the observed period. The predicted high frequencies of drought events for the future periods can intensify the current low water level situation of the Urmia Lake, which seriously threatens all types of ecosystems in the basin. Therefore, serious actions need to be taken into account for efficient ecosystem and water resources management in the basin.

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“…Here, in order to analyze historical drought patterns for wild blueberry fields in Maine, we adopted the SPEI over other drought indices as it is determined based on precipitation, temperature, and potential evapotranspiration [19]. Moreover, the SPEI would be the most useful index to determine the water conditions (dry/wet) and drought severity of an agricultural system during both the short period and long period [19,20]. This is because the SPEI's multi-scalar character enables it to detect, monitor, and analyze droughts more effectively, as it can quantify the water conditions (dry/wet) and the drought severity according to its duration and intensity [19].…”

Section: Introductionmentioning

confidence: 99%

Is Drought Increasing in Maine and Hurting Wild Blueberry Production?

Barai

Tasnim

Rahimzadeh-Bajgiran

et al. 2021

Climate

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A few severe drought events occurred in the Northeast (NE) USA in recent decades and caused significant economic losses, but the temporal pattern of drought incidents and their impacts on agricultural systems have not been well assessed. Here, we analyzed historical changes and patterns of drought using a drought index (standardized precipitation-evapotranspiration index (SPEI)), and assessed drought impacts on remotely sensed vegetation indices (enhanced vegetation index (EVI) and normalized difference vegetation index (NDVI)) and production (yield) of the wild blueberry fields in Maine, USA. We also analyzed the impact of short- and long-term water conditions of the growing season on the wild blueberry vegetation condition and production. No significant changes in the SPEI were found in the past 71 years, despite a significant warming pattern. There was also a significant relationship between the relatively long-term SPEI and the vegetation indices (EVI and NDVI), but not the short-term SPEI (one year). This suggests that the crop vigor of wild blueberries is probably determined by water conditions over a relatively long term. There were also significant relationships between 1-year water conditions (SPEI) and yield for a non-irrigated field, and between 4-year-average SPEI and the yield of all fields in Maine. The vegetation indices (EVI and NDVI) are not good predictors of wild blueberry yield, possibly because wild blueberry yield does not only depend on crop vigor, but also on other important variables such as pollination. We also compared an irrigated and a non-irrigated wild blueberry field at the same location (Deblois, Maine) where we found that irrigation decoupled the relationship between the SPEI and NDVI or EVI.

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Modified version for SPEI to evaluate and modeling the agricultural drought severity

Cited by 48 publications

References 32 publications

Drought trend, frequency and extremity across a wide range of climates over Iran

Drought trend, frequency and extremity across a wide range of climates over Iran

Past and future drought trends, duration, and frequency in the semi‐arid Urmia Lake Basin under a changing climate

Is Drought Increasing in Maine and Hurting Wild Blueberry Production?

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