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The efficiency of the Standardized Evapotranspiration Deficit Index (SEDI) in assessing the impact of drought on vegetation cover

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Abstract

It is important to choose an indicator that can optimally demonstrate the effects of drought intensity on soil moisture access, evapotranspiration and the changes in vegetation cover at a regional scale. Therefore, herein, SEDI was developed by the fit of the experimental distribution of Gringorten on evapotranspiration deficit based on TerraClimate data at the time scales of 1, 3, 6 and 12 months, and its relationship with Standardized Precipitation-Evapotranspiration Index (SPEI), Standardized Precipitation Index (SPI), Standardized Soil Moisture Index (SSMI), Normalized Ecosystem Drought Index (NEDI) and Normalized Difference Vegetation Index (NDVI) were investigated. The results indicated that SEDI has the highest significant correlation (above 95%) with NEDI and SPEI, especially for the 1-month time scale. This index also revealed the lowest correlation (less than 25%) with SPI on short-term time scales. The relationship between SEDI and SSMI indicated the high sensitivity of SEDI to the cumulative reduction of low amounts of soil moisture. According to the findings, the 6-month SEDI with NDVI showed the highest correlation with a 1-month delay (r = 0.64) and the best fit between them occurred in wet months. However, in the dry months, the relationship between SEDI with NDVI was affected via water availability stresses, grazing intensity and pest infestation. Finally, the use of SEDI at a regional scale, especially in arid and semi-arid regions like Lorestan, could be recognized as an important index in depicting the effects of drought on vegetation cover, due to the use of the actual evapotranspiration factor.

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Notes

  1. Root mean square error.

References

  • Abatzoglou, J. T., Dobrowski, S. Z., Parks, S. A., & Hegewisch, K. C. (2018). TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958–2015. Scientific Data, 5(1), 1–12.

    Article  Google Scholar 

  • Adnan, S., Ullah, K., & Shouting, G. (2016). Investigations into precipitation and drought climatologies in South Central Asia with special focus on Pakistan over the period 1951–2010. Journal of Climate, 29(16), 6019–6035.

    Article  Google Scholar 

  • Anderson, M. C., Hain, C., Wardlow, B., Pimstein, A., Mecikalski, J. R., & Kustas, W. P. (2011). Evaluation of drought indices based on thermal remote sensing of evapotranspiration over the continental United States. Journal of Climate, 24(8), 2025–2044.

    Article  Google Scholar 

  • Chang, K.-Y., Xu, L., & Starr, G. (2018). A drought indicator reflecting ecosystem responses to water availability: The normalized ecosystem drought index. Agricultural and Forest Meteorology, 250, 102–117.

    Article  Google Scholar 

  • Danandeh Mehr, A., Sorman, A. U., Kahya, E., & Hesami Afshar, M. (2020). Climate change impacts on meteorological drought using SPI and SPEI: Case study of Ankara. Turkey. Hydrological Sciences Journal, 65(2), 254–268.

    Article  Google Scholar 

  • Das, P. K., Chandra, S., Das, D. K., Midya, S. K., Paul, A., Bandyopadhyay, S., & Dadhwal, V. K. (2020). Understanding the interactions between meteorological and soil moisture drought over Indian region. Journal of Earth System Science, 129(1), 1–17.

    Article  Google Scholar 

  • Didan, K. (2015). MOD13Q1 MODIS/Terra vegetation indices 16-day L3 global 250m SIN grid V006. NASA EOSDIS Land Processes DAAC, 10.

  • Farahmand, A., & AghaKouchak, A. (2015). A generalized framework for deriving nonparametric standardized drought indicators. Advances in Water Resources, 76, 140–145.

    Article  Google Scholar 

  • Fiorillo, F., Leone, G., Pagnozzi, M., & Esposito, L. (2021). Long-term trends in karst spring discharge and relation to climate factors and changes. Hydrogeology Journal, 29(1), 347–377.

    Article  Google Scholar 

  • Guo, S. (1990). A discussion on unbiased plotting positions for the general extreme value distribution. Journal of Hydrology, 121(1–4), 33–44.

    Article  Google Scholar 

  • Javadinejad, S., Dara, R., & Jafary, F. (2020). Evaluation of hydro-meteorological drought indices for characterizing historical and future droughts and their impact on groundwater. Resources Environment and Information Engineering, 2(1), 71–83.

    Article  Google Scholar 

  • Kavian, A., Bahrami, M., & Rouhani, H. (2017). Comparison of potential evapotranspiration estimation methods in stream flow modeling using SWAT in Taleghan Watershed.

  • Kim, D., Lee, W. S., Kim, S. T., & Chun, J. A. (2019). Historical drought assessment over the contiguous United States using the generalized complementary principle of evapotranspiration. Water Resources Research, 55(7), 6244–6267.

    Article  Google Scholar 

  • Kim, D., & Rhee, J. (2016). A drought index based on actual evapotranspiration from the Bouchet hypothesis. Geophysical Research Letters, 43(19), 10:277–210.

  • Li, L., She, D., Zheng, H., Lin, P., & Yang, Z.-L. (2020). Elucidating diverse drought characteristics from two meteorological drought indices (SPI and SPEI) in China. Journal of Hydrometeorology, 21(7), 1513–1530.

    Article  Google Scholar 

  • Moqbeli Dameneh, M., & Sanaeinejad, S. H. (2018). Estimate of potential evapotranspiration in Freiman using the priestiley-taylor method and remote sensing technique. Journal of RS and GIS for Natural Resources9(3), 72-84. https://www.sid.ir/en/journal/ViewPaper.aspx?ID=668259

  • Narasimhan, B., & Srinivasan, R. (2005). Development and evaluation of Soil Moisture Deficit Index (SMDI) and Evapotranspiration Deficit Index (ETDI) for agricultural drought monitoring. Agricultural and Forest Meteorology, 133(1–4), 69–88.

    Article  Google Scholar 

  • Pathak, A. A., & Dodamani, B. (2019a). Comparison of meteorological drought indices for different climatic regions of an Indian river basin. Asia-Pacific Journal of Atmospheric Sciences, 1–14.

  • Pathak, A. A., & Dodamani, B. (2019b). Trend analysis of groundwater levels and assessment of regional groundwater drought: Ghataprabha River Basin. India. Natural Resources Research, 28(3), 631–643.

    Article  Google Scholar 

  • Rouse, J., Haas, R. H., Schell, J. A., & Deering, D. W. (1974). Monitoring vegetation systems in the Great Plains with ERTS. NASA Special Publication, 351(1974), 309.

    Google Scholar 

  • Selaman, O. S., Said, S., & Putuhena, F. (2007). Flood frequency analysis for Sarawak using Weibull, Gringorten and L-moments formula. Journal of the Institute of Engineering, 68, 43–52.

    Google Scholar 

  • Sharafi, L., Zarafshani, K., Keshavarz, M., Azadi, H., & Van Passel, S. (2020). Drought risk assessment: Towards drought early warning system and sustainable environment in western Iran. Ecological Indicators, 114, 106276.

  • Shiravand, H., Khaledi, S., Behzadi, S., & Shokri, S. H. A. (2020). Monitoring and assessing the changes in the coverage and decline of oak forests in Lorestan Province using Satellite Images and BFAST Model.

  • Tadese, M., Kumar, L., & Koech, R. (2020). Long-term variability in potential evapotranspiration, water availability and drought under climate change scenarios in the Awash River Basin. Ethiopia. Atmosphere, 11(9), 883.

    Article  Google Scholar 

  • Tigkas, D., Vangelis, H., & Tsakiris, G. (2012). Drought and climatic change impact on streamflow in small watersheds. Science of the Total Environment, 440, 33–41.

    Article  CAS  Google Scholar 

  • Tigkas, D., Vangelis, H., & Tsakiris, G. (2017). An enhanced effective reconnaissance drought index for the characterisation of agricultural drought. Environmental Processes, 4(1), 137–148.

    Article  Google Scholar 

  • Tigkas, D., Vangelis, H., & Tsakiris, G. (2020). Implementing crop evapotranspiration in RDI for farm-level drought evaluation and adaptation under climate change conditions. Water Resources Management, 34(14), 4329–4343.

    Article  Google Scholar 

  • Tsakiris, G., Pangalou, D., & Vangelis, H. (2007). Regional drought assessment based on the Reconnaissance Drought Index (RDI). Water Resources Management, 21(5), 821–833.

    Article  Google Scholar 

  • Vasiliades, L., & Loukas, A. (2009). Hydrological response to meteorological drought using the Palmer drought indices in Thessaly. Greece. Desalination, 237(1–3), 3–21.

    Article  CAS  Google Scholar 

  • Vicente-Serrano, S. M., Beguería, S., & López-Moreno, J. I. (2010). A multiscalar drought index sensitive to global warming: The standardized precipitation evapotranspiration index. Journal of Climate, 23(7), 1696–1718.

    Article  Google Scholar 

  • Vicente-Serrano, S. M., Miralles, D. G., Domínguez-Castro, F., Azorin-Molina, C., El Kenawy, A., McVicar, T. R., & Peña-Gallardo, M. (2018). Global assessment of the Standardized Evapotranspiration Deficit Index (SEDI) for drought analysis and monitoring. Journal of Climate, 31(14), 5371–5393.

    Article  Google Scholar 

  • Zhang, X., Li, M., Ma, Z., Yang, Q., Lv, M., & Clark, R. (2019). Assessment of an evapotranspiration deficit drought index in relation to impacts on ecosystems. Advances in Atmospheric Sciences, 36(11), 1273–1287.

    Article  Google Scholar 

  • Zhang, Y., Li, W., Chen, Q., Pu, X., & Xiang, L. (2017). Multi-models for SPI drought forecasting in the north of Haihe River Basin, China. Stochastic Environmental Research and Risk Assessment, 31(10), 2471–2481.

    Article  Google Scholar 

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Correspondence to Mahdi Soleimani-Motlagh.

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Soleimani-Motlagh, M., Soleimani-Sardo, M. & Mossivand, A.M. The efficiency of the Standardized Evapotranspiration Deficit Index (SEDI) in assessing the impact of drought on vegetation cover. Environ Monit Assess 194, 299 (2022). https://doi.org/10.1007/s10661-022-09972-z

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