Terrestrial ecosystem response to flash droughts over India

Poonia, Vikas; Goyal, Manish Kumar; Jha, Srinidhi; Dubey, Saket

doi:10.1016/j.jhydrol.2021.127402

Cited by 38 publications

(26 citation statements)

References 79 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, improving our understanding of the unique characteristics of ecosystem responses to flash droughts is crucial to establishing effective early warning and alerting systems. Previous studies have attempted to estimate the impacts of flash droughts based on the total reduction of GPP or crop production at a country level [21][22][23]; however, ecosystem dynamics during flash droughts are not well understood especially for Europe.…”

Section: Discussionmentioning

confidence: 99%

“…Earlier studies have recorded severe drought-induced vegetation stress and mortality during flash drought events, such as the 2012 central US flash drought, by analysing changes in vegetation conditions through satellite observations [19][20][21]. Significant changes in vegetation conditions following flash droughts have also been witnessed in India and China [22,23]. However, despite the clear evidence of the severity of flash drought impacts on ecosystems, our understanding of the ecological impacts of flash droughts remains incomplete.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Flash drought drives rapid vegetation stress in arid regions in Europe

Sungmin

Park

2023

Environ. Res. Lett.

View full text Add to dashboard Cite

Flash droughts are characterised by rapid onset, combined with the potential to severely impact agriculture and ecosystems. However, assessments of the ecological impacts of flash droughts, especially in Europe, are largely lacking. Here we investigate ecosystem responses to flash droughts in Europe between 2001 and 2019 using diverse observational data, including gross primary production (GPP) and leaf area index (LAI). We find that in arid regions an abrupt transition to water-stressed conditions occurs within a few weeks, which negatively affects vegetation status and reduces carbon uptake in the initial stages of drought; normalised anomalies of LAI and GPP decrease to about -0.5. By contrast, vegetation in humid regions is not as severely affected, given that soil moisture recovers relatively quickly. We also show that soil moisture status before the onset of drought significantly impacts the timing (1 to 5 pentads) and degree (-0.33 to -0.71 of normalised LAI/GPP anomalies) of drought-induced vegetation stress, particularly in arid regions. Our results highlight the regional characteristics of flash drought impacts for more informative monitoring and early warning systems.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Flash drought drives rapid vegetation stress in arid regions in Europe

Sungmin

Park

2023

Environ. Res. Lett.

View full text Add to dashboard Cite

show abstract

“…Some other performance measurement methods such as BIAS, mean absolute percentage of error (MAPE) and root mean square error (RMSE) could also be applied to proposed models to find their adequacy (Najafzadeh & Saberi-Movahed 2019;Najafzadeh & Oliveto 2020). Based on some recent investigations, the projected climate data could also be utilized against the analysis of drought risk management and flash drought analyses (Poonia et al 2022) over the study region. The blockchain technology-based framework could be used to improve the…”

Section: Discussionmentioning

confidence: 99%

Assessment of CMIP5 and CORDEX-SA experiments in representing multiscale temperature climatology over central India

Vishwakarma

Choudhary

Chauhan

2022

Water Practice and Technology

View full text Add to dashboard Cite

The central India region has been seriously affected by repeated droughts in recent decades due to climate change, which is the main reason for conducting this research. It is still uncertain how the numerous climate models could precisely estimate the future climate for central India. The study mainly focuses on the forcing global climate models (GCMs) and the regional climate models (RCMs). The models have been checked using the coefficient of correlation (r2), Nash Sutcliffe efficiency (NSE) and an improved method, Skill score (SS). The performance is also spatially checked on ArcGIS using the kriging interpolation. The bias-corrected GCMs performed more authentic than the CORDEX RCMs in signifying maximum and minimum temperatures for the Bundelkhand region in central India. Bias-corrected GCMs, EC-EARTH, CCSM4 and GFDL-ESM-2M affirmed the best models on multiple time scales for maximum and minimum temperature in the study region. Maximum NSE and r2 have been observed for seasonal minimum temperature. GCM-EC-EARTH has shown 97% to 98% accuracy, while GCM-GFDL-ESM-2M has demonstrated 84% to 97% accuracy among other selected models. The research outcomes will also assist policymakers in developing strategies and policies for the future climate of central India with the help of more precise projected climatic data.

show abstract

“…South Korea is a part of East Asia located between Japan and China at 33-43 • N latitude and 124-131 • E longitude, and the total area of the country is 100,210 km 2 . Figure 1 shows the administrative boundaries, elevation, and meteorological stations (70) used in this study.…”

Section: Study Area and Datamentioning

confidence: 99%

“…Drought is one of the most frequently occurring and severe hydrometeorological phenomena, resulting from a decrease in rainfall from normal conditions, causing water scarcity for various water-dependent activities [1,2]. Drought is a costly and destructive hazard with an extensive impact on the environment, socioeconomics, and populations around the globe [3,4].…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Rainfall Variability and Drought Assessment during Past Five Decades in South Korea Using SPI and SPEI

et al. 2022

View full text Add to dashboard Cite

About 41% of the earth is drought-affected, which has impacted nearly 2 billion people, and it is expected that more than 90% of terrestrial areas will be degraded by 2050. To evade and mitigate the harmful impacts of drought, it is necessary to study the rainfall variability and assess the drought trend at a global and regional level. This study utilized 70 meteorological stations in South Korea to evaluate the rainfall variability, drought, and its trend during the past five decades using the standardized precipitation evapotranspiration index (SPEI) and the standardized precipitation index (SPI). Rainfall data normality was assessed with mean, standard deviation, skewness, and kurtosis. The highest amount of rainfall was observed in the months of June, July, and August. The SPI and SPEI 12-month results revealed that 1982, 1988, 2008, 2015, and 2017 were dry years throughout the country, while from 2013 to 2017 mixed drought events were observed for the 6-month time series. The Mann-Kendall trend test was applied to the 1- and 12-month time series, and the results revealed that the months of January, March, April, May, June, and August had a significant negative trend, which means drought is increasing in these months, while the months of September, October, and December had a significant positive trend, which means wetter conditions prevailed in these months during the study period. It was observed in the 12-month time series that only two met stations had a significant negative trend, while only one had a significant positive trend. It was found that January and March were the driest months, and October was the wettest month. The detected drought events in this research are consistent with ENSO events. We have observed differences in drought characteristics (duration and frequency) for both indices. Climatic data revealed that South Korea has faced drought conditions (rainfall deficit) due to a shortened monsoon season. This study can provide guidance on water management strategies under the changing pattern of drought in South Korea.

show abstract

Terrestrial ecosystem response to flash droughts over India

Cited by 38 publications

References 79 publications

Flash drought drives rapid vegetation stress in arid regions in Europe

Flash drought drives rapid vegetation stress in arid regions in Europe

Assessment of CMIP5 and CORDEX-SA experiments in representing multiscale temperature climatology over central India

Spatiotemporal Rainfall Variability and Drought Assessment during Past Five Decades in South Korea Using SPI and SPEI

Contact Info

Product

Resources

About