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Spatiotemporal variability of vegetation response to meteorological drought on the Korean Peninsula
- Source :
- Hydrology Research, Vol 54, Iss 12, Pp 1625-1640 (2023)
- Publication Year :
- 2023
- Publisher :
- IWA Publishing, 2023.
-
Abstract
- To assess vegetation drought, it is important to understand the relationship between climate and vegetation and to accurately measure the response of vegetation activity to meteorological drought. In this study, we used the vegetation health index (VHI) to investigate the propagation time and time-lag of vegetation response to different meteorological drought indices, including the standardized precipitation index (SPI), evaporative demand drought index (EDDI), standardized precipitation–evapotranspiration index (SPEI), and copula-based joint drought index (CJDI). Using correlation analyses of meteorological drought indices with different time-scales and time-lags and VHIs with different weights, we determined which meteorological drought indices and their corresponding time-scales and time-lags best represent the effects of meteorological drought on vegetation activity on the Korean Peninsula. We also evaluated the relative roles of normalized difference vegetation index (NDVI) and land surface temperature (LST) in quantifying vegetation response to meteorological drought. The meteorological drought index for monitoring vegetation response to meteorological drought on the Korean Peninsula was best applied using EDDI in January–May and SPEI in June–December. Vegetation health was dominated by LST in January–September, with a higher impact of NDVI in November–December. We expect these results to provide useful information for vegetation drought monitoring. HIGHLIGHTS Quantifying vegetation response to meteorological drought based on correlation analysis.; Identifying meteorological drought indices that are most closely related to vegetation activity.; Estimating the propagation time and time-lag of meteorological drought on vegetation drought.; Evaluating the relative contribution of NDVI and LST to VHI.;
Details
- Language :
- English
- ISSN :
- 19989563 and 22247955
- Volume :
- 54
- Issue :
- 12
- Database :
- Directory of Open Access Journals
- Journal :
- Hydrology Research
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.5235478e729942cb9b3c9354064bb477
- Document Type :
- article
- Full Text :
- https://doi.org/10.2166/nh.2023.237