MODIS-based evaluation of agricultural drought, water use efficiency and post-drought in Iran; considering the influence of heterogeneous climatic regions

Fathi-Taperasht, Amin; Shafizadeh-Moghadam, Hossein; Kouchakzadeh, M

doi:10.1016/j.jclepro.2022.133836

Cited by 14 publications

(1 citation statement)

References 62 publications

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“…Our findings align with existing literature emphasizing the regional relationships between plant abundance and climatic patterns that shape ecosystems [37,96,97]. Moreover, vegetation systems adapted to arid regions demonstrate greater drought tolerance and lower sensitivity of GPP [37,97,116]. However, the association between ecosystem WUE and drought exhibits notable variation across different vegetation types and environmental contexts.…”

Section: Response Of Gpp and Wue To Drought Across Different Climate ...supporting

confidence: 87%

Response of Ecosystem Carbon–Water Fluxes to Extreme Drought in West Asia

Alsafadi,

Bashir,

Mohammed

et al. 2024

Remote Sensing

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Global warming has resulted in increases in the intensity, frequency, and duration of drought in most land areas at the regional and global scales. Nevertheless, comprehensive understanding of how water use efficiency (WUE), gross primary production (GPP), and actual evapotranspiration (AET)-induced water losses respond to exceptional drought and whether the responses are influenced by drought severity (DS) is still limited. Herein, we assess the fluctuation in the standardized precipitation evapotranspiration index (SPEI) over the Middle East from 1982 to 2017 to detect the drought events and further examine standardized anomalies of GPP, WUE, and AET responses to multiyear exceptional droughts, which are separated into five groups designed to characterize the severity of extreme drought. The intensification of the five drought events (based on its DS) increased the WUE, decreased the GPP and AET from D5 to D1, where both the positive and negative variance among the DS group was statistically significant. The results showed that the positive values of standardized WUE with the corresponding values of the negative GPP and AET were dominant (44.3% of the study area), where the AET values decreased more than the GPP, and the WUE fluctuation in this region is mostly controlled by physical processes, i.e., evaporation. Drought’s consequences on ecosystem carbon-water interactions ranged significantly among eco-system types due to the unique hydrothermal conditions of each biome. Our study indicates that forthcoming droughts, along with heightened climate variability, pose increased risks to semi-arid and sub-humid ecosystems, potentially leading to biome restructuring, starting with low-productivity, water-sensitive grasslands. Our assessment of WUE enhances understanding of water-carbon cycle linkages and aids in projecting ecosystem responses to climate change.

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Section: Response Of Gpp and Wue To Drought Across Different Climate ...supporting

confidence: 87%

Response of Ecosystem Carbon–Water Fluxes to Extreme Drought in West Asia

Alsafadi,

Bashir,

Mohammed

et al. 2024

Remote Sensing

View full text Add to dashboard Cite

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Propagation process‐based agricultural drought typology and its copula‐based risk

Li,

Liu,

Peng

et al. 2024

Irrigation and Drainage

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Determining the risks associated with different drought event types can be beneficial for related scientific research and management strategies. In this study, we proposed an agricultural drought event pair and typology based on the governing drought propagation processes in the Yellow River basin at the catchment scale. In total, seven agricultural drought event pairs were distinguished, namely single meteorological drought event pair (MDonly), single soil moisture drought event pair (SDonly), single agricultural drought event pair (ADonly), soil moisture and meteorological drought event pair (SDMD), agricultural and meteorological drought event pair (ADMD), agricultural and soil moisture drought event pair (ADSD) and agricultural, soil moisture and meteorological drought event pair (ASMD). The SDMD and ADMD events had the highest copula‐based risk probabilities with the shortest joint return periods. Six agricultural drought types were distinguished in this study, namely classical rainfall deficit, rain‐to‐snow‐season, wet‐to‐dry‐season, cold snow season, warm snow season and composite drought events. The classical rainfall deficit, wet‐to‐dry season and composite drought events were the major agricultural drought types in the Yellow River basin. The agricultural drought typology results of the present study provide a comprehensive understanding of drought propagation and improvement of drought forecasting and management.

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