干旱区科学2023,Vol.15Issue(12) :1421-1438.DOI:10.1007/s40333-023-0072-x

Monitoring vegetation drought in the nine major river basins of China based on a new developed Vegetation Drought Condition Index

ZHAO Lili LI Lusheng LI Yanbin ZHONG Huayu ZHANG Fang ZHU Junzhen DING Yibo
干旱区科学2023,Vol.15Issue(12) :1421-1438.DOI:10.1007/s40333-023-0072-x

Monitoring vegetation drought in the nine major river basins of China based on a new developed Vegetation Drought Condition Index

ZHAO Lili 1LI Lusheng 1LI Yanbin 1ZHONG Huayu 2ZHANG Fang 3ZHU Junzhen 3DING Yibo4
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作者信息

  • 1. School of Water Conservancy,North China University of Water Resources and Electric Power,Zhengzhou 450046,China
  • 2. College of Water Conservancy and Hydropower Engineering,Hohai University,Nanjing 210098,China
  • 3. University International College,Macau University of Science and Technology,Macao 999078,China
  • 4. Yellow River Engineering Consulting Co.,Ltd.,Zhengzhou 450003,China
  • 折叠

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

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基金项目

National Natural Science Foundation of China(52179015)

National Natural Science Foundation of China(42301024)

Key Technologies Research & Development and Promotion Program of Henan(232102110025)

Cultivation Plan of Innovative Scientific and Technological Team of Water Conservancy Engineering Discipline of North China (CXTDPY-9)

出版年

2023
干旱区科学
中国科学院新疆生态与地理研究所,科学出版社

干旱区科学

CSTPCDCSCD
影响因子:1.743
ISSN:1674-6767
参考文献量1
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