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Journal of Arid Land
Journal of Arid Land  2023, Vol. 15 Issue (12): 1421-1438    DOI: 10.1007/s40333-023-0072-x
Research article     
Monitoring vegetation drought in the nine major river basins of China based on a new developed Vegetation Drought Condition Index
ZHAO Lili1, LI Lusheng1,*(), LI Yanbin1, ZHONG Huayu2, ZHANG Fang3, ZHU Junzhen3, DING Yibo4
1School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China
2College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China
3University International College, Macau University of Science and Technology, Macao 999078, China
4Yellow River Engineering Consulting Co., Ltd., Zhengzhou 450003, China
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Abstract  

The effect of global climate change on vegetation growth is variable. Timely and effective monitoring of vegetation drought is crucial for understanding its dynamics and mitigation, and even regional protection of ecological environments. In this study, we constructed a new drought index (i.e., Vegetation Drought Condition Index (VDCI)) based on precipitation, potential evapotranspiration, soil moisture and Normalized Difference Vegetation Index (NDVI) data, to monitor vegetation drought in the nine major river basins (including the Songhua River and Liaohe River Basin, Haihe River Basin, Yellow River Basin, Huaihe River Basin, Yangtze River Basin, Southeast River Basin, Pearl River Basin, Southwest River Basin and Continental River Basin) in China at 1-month-12-month (T1-T12) time scales. We used the Pearson's correlation coefficients to assess the relationships between the drought indices (the developed VDCI and traditional drought indices including the Standardized Precipitation Evapotranspiration Index (SPEI), Standardized Soil Moisture Index (SSMI) and Self-calibrating Palmer Drought Severity Index (scPDSI)) and the NDVI at T1-T12 time scales, and to estimate and compare the lag times of vegetation response to drought among different drought indices. The results showed that precipitation and potential evapotranspiration have positive and major influences on vegetation in the nine major river basins at T1-T6 time scales. Soil moisture shows a lower degree of negative influence on vegetation in different river basins at multiple time scales. Potential evapotranspiration shows a higher degree of positive influence on vegetation, and it acts as the primary influencing factor with higher area proportion at multiple time scales in different river basins. The VDCI has a stronger relationship with the NDVI in the Songhua River and Liaohe River Basin, Haihe River Basin, Yellow River Basin, Huaihe River Basin and Yangtze River Basin at T1-T4 time scales. In general, the VDCI is more sensitive (with shorter lag time of vegetation response to drought) than the traditional drought indices (SPEI, scPDSI and SSMI) in monitoring vegetation drought, and thus it could be applied to monitor short-term vegetation drought. The VDCI developed in the study can reveal the law of unclear mechanisms between vegetation and climate, and can be applied in other fields of vegetation drought monitoring with complex mechanisms.

Key words： vegetation drought      Vegetation Drought Condition Index (VDCI)      Normalized Difference Vegetation Index (NDVI)      vegetation dynamics      climate change      China     
Received: 07 February 2023      Published: 31 December 2023
Corresponding Authors: *LI Lusheng (E-mail: lilusheng@ncwu.edu.cn)
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ZHAO Lili
LI Lusheng
LI Yanbin
ZHONG Huayu
ZHANG Fang
ZHU Junzhen
DING Yibo
Cite this article:

ZHAO Lili, LI Lusheng, LI Yanbin, ZHONG Huayu, ZHANG Fang, ZHU Junzhen, DING Yibo. Monitoring vegetation drought in the nine major river basins of China based on a new developed Vegetation Drought Condition Index. Journal of Arid Land, 2023, 15(12): 1421-1438.

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http://jal.xjegi.com/10.1007/s40333-023-0072-x     OR     http://jal.xjegi.com/Y2023/V15/I12/1421

Fig. 1 Topographic and geographic zones in China (a), distribution of meteorological stations in the nine major river basins in China (b), and land cover types in the nine major river basins in China in 2020 (c). SLRB, Songhua River and Liaohe River Basin; HARB, Haihe River Basin; YERB, Yellow River Basin; HURB, Huaihe River Basin; YARB, Yangtze River Basin; SERB, Southeast River Basin; PRB, Pearl River Basin; SWRB, Southwest River Basin; CRB, Continental River Basin.
Fig. 2 Evaluation of the WR fitting performance of the gamma and log-logistic distribution functions at 1-month-12-month (T1-T12) time scales. WR, the integrated result of precipitation, potential evapotranspiration and soil moisture.
Fig. 3 Influence weights of potential evapotranspiration, precipitation and soil moisture in the nine major river basins of China at T1-T12 time scales. SLRB, Songhua River and Liaohe River Basin; HARB, Haihe River Basin; YERB, Yellow River Basin; HURB, Huaihe River Basin; YARB, Yangtze River Basin; SERB, Southeast River Basin; PRB, Pearl River Basin; SWRB, Southwest River Basin; CRB, Continental River Basin.
Fig. 4 Area proportions of regions with different primary influencing factors (potential evapotranspiration, precipitation and soil moisture) in the nine major river basins at T1-T12 scales. (a), SLRB; (b), HARB; (c), YERB; (d), HURB; (e), YARB; (f), SERB; (g), PRB; (h), SWRB; (i), CRB. SLRB, Songhua River and Liaohe River Basin; HARB, Haihe River Basin; YERB, Yellow River Basin; HURB, Huaihe River Basin; YARB, Yangtze River Basin; SERB, Southeast River Basin; PRB, Pearl River Basin; SWRB, Southwest River Basin; CRB, Continental River Basin. The primary influencing factor is the factor with the maximum absolute value of influence coefficient among the potential evapotranspiration, precipitation and soil moisture in each grid.
Fig. 5 Area proportions of regions with different lag times of vegetation (indicated by the Normalized Difference Vegetation Index (NDVI)) response to different drought indices. (a), Vegetation Drought Condition Index (VDCI); (b), Standardized Precipitation Evapotranspiration Index (SPEI); (c), Standardized Soil Moisture Index (SSMI).
Fig. 6 Comparison of the lag times of vegetation (indicated by the NDVI) response to different drought indices (VDCI, SPEI and SSMI) in the nine major river basins. Box boundaries indicate the 25th and 75th percentiles, respectively; whiskers below and above the box indicate the 10th and 90th percentiles, respectively. SLRB, Songhua River and Liaohe River Basin; HARB, Haihe River Basin; YERB, Yellow River Basin; HURB, Huaihe River Basin; YARB, Yangtze River Basin; SERB, Southeast River Basin; PRB, Pearl River Basin; SWRB, Southwest River Basin; CRB, Continental River Basin.
Fig. 7 Spatial distribution of the correlation coefficients between the VDCI and NDVI at T1 (a), T2 (b), T3 (c), T4 (d), T5 (e), T6 (f), T7 (g), T8 (h), T9 (i), T10 (j), T11 (k), and T12 (l) time scales. "Not significant" indicates that the correlation coefficient did not pass the significance test (P>0.05).
Fig. 8 Correlation coefficients between the VDCI and NDVI in the nine major river basins at T1-T4 (a), T5-T8 (b) and T9-T12 (c) time scales. Box boundaries indicate the 25th and 75th percentiles, respectively; whiskers below and above the box indicate the 10th and 90th percentiles, respectively. SLRB, Songhua River and Liaohe River Basin; HARB, Haihe River Basin; YERB, Yellow River Basin; HURB, Huaihe River Basin; YARB, Yangtze River Basin; SERB, Southeast River Basin; PRB, Pearl River Basin; SWRB, Southwest River Basin; CRB, Continental River Basin.
Fig. 9 Area proportions of different land cover types (with the exception of construction land; a) and the correlation coefficients between the VDCI and NDVI at T1 time scale for the major land cover types (b) in the nine major river basins. SLRB, Songhua River and Liaohe River Basin; HARB, Haihe River Basin; YERB, Yellow River Basin; HURB, Huaihe River Basin; YARB, Yangtze River Basin; SERB, Southeast River Basin; PRB, Pearl River Basin; SWRB, Southwest River Basin; CRB, Continental River Basin. For the left panel, area proportion values lower than 3% are not marked in the figure; for the right panel, the major land cover types for each river basin mean that their area proportions in the corresponding river basin are greater than 20%. Box boundaries indicate the 25th and 75th percentiles, respectively; whiskers below and above the box indicate the 10th and 90th percentiles, respectively.
Fig. 10 Variations in the mean correlation coefficients between the drought indices (VDCI, SPEI and SSMI) and NDVI in the nine major river basins at T1-T12 time scales (a-c), and the area proportions of regions with the correlation coefficients between the drought indices (VDCI, SPEI and SSMI) and NDVI passing the significance test (P<0.05) at T1-T12 time scales (d). SLRB, Songhua River and Liaohe River Basin; HARB, Haihe River Basin; YERB, Yellow River Basin; HURB, Huaihe River Basin; YARB, Yangtze River Basin; SERB, Southeast River Basin; PRB, Pearl River Basin; SWRB, Southwest River Basin; CRB, Continental River Basin.
Fig. 11 Correlation coefficients between the drought indices (VDCI, SPEI and SSMI) and NDVI at T1-T12 time scales. Box boundaries indicate the 25th and 75th percentiles, respectively; whiskers below and above the box indicate the 10th and 90th percentiles, respectively.
Fig. 12 Spatial distribution of the correlation coefficients between the VDCI and NDVI as well as between the scPDSI and NDVI in spring (a and e), summer (b and f) and autumn (c and g), as well as at the annual scale (d and h). scPDSI, Self-calibrating Palmer Drought Severity Index. "Not significant" indicates that the correlation coefficient did not pass the significance test (P>0.05).
Fig. 13 Performance of the VDCI in climate-vegetation subregions in China (indicated by the correlation coefficients between the VDCI and NDVI). A, cold temperate coniferous forest; B, temperate coniferous and deciduous broad-leaved mixed forest; C, warm temperate deciduous broad-leaved forest; D, subtropical evergreen broad-leaved forest; E, tropical monsoon forest and rainforest; F, temperate grassland; G, temperate desert; H, alpine vegetation on the Qinghai-Tibet Plateau. Box boundaries indicate the 25th and 75th percentiles, respectively; whiskers below and above the box indicate the 10th and 90th percentiles, respectively.
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