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  • Volume 43, Issue 1-2

Assessing vegetation response to drought in the Laohahe catchment, North China

Xiaofan Liu, Liliang Ren, Fei Yuan, Jing Xu, Wei Liu
Published February 2012, 43 (1-2) 91-101; DOI: 10.2166/nh.2011.134
Xiaofan Liu
State Key Laboratory of Hydrology, Water Resources and Hydraulic Engineering, College of Hydrology and Water Resources, Hohai University, No. 1 Xikang Road, Nanjing 210098, ChinaE-mail: RLL@hhu.edu.cnSichuan Communication Surveying & Design Institute, No. 35 Taishengbei Road, Chengdu 610017, China
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Liliang Ren
State Key Laboratory of Hydrology, Water Resources and Hydraulic Engineering, College of Hydrology and Water Resources, Hohai University, No. 1 Xikang Road, Nanjing 210098, ChinaE-mail: RLL@hhu.edu.cn
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Fei Yuan
State Key Laboratory of Hydrology, Water Resources and Hydraulic Engineering, College of Hydrology and Water Resources, Hohai University, No. 1 Xikang Road, Nanjing 210098, ChinaE-mail: RLL@hhu.edu.cn
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Jing Xu
Department of Hydrosciences, Nanjing University, No. 22 Hankou Road, Nanjing 210093, China
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Wei Liu
Shandong Hydrology and Water Resources Survey Bureau, No. 127 Lishan Road, Jinan 250013, China
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Abstract

In order to better understand the relationship between vegetation vigour and moisture availability, a correlation analysis based on different vegetation types was conducted between time series of monthly Normalized Difference Vegetation Index (NDVI) and Palmer Drought Severity Index (PDSI) during the growing season from April to October within the Laohahe catchment. It was found that NDVI had good correlation with PDSI, especially for shrub and grass. The correlation between NDVI and PDSI varies significantly from one month to another. The highest value of correlation coefficients appears in June when the vegetation is growing; lower correlations are noted at the end of growing season for all vegetation types. The influence of meteorological drought on vegetation vigour is stronger in the first half of the growing season, before the vegetation reaches the peak greenness. In order to take the seasonal effect into consideration, a regression model with seasonal dummy variables was used to simulate the relationship between NDVI and PDSI. The results showed that the NDVI–PDSI relationship is significant (α = 0.05) within the growing season, and that NDVI is an effective indicator to monitor and detect droughts if seasonal timing is taken into account.

  • correlation analysis
  • drought
  • NDVI
  • Palmer drought severity index
  • regression analysis
  • Received October 8, 2009.
  • Accepted July 15, 2010.
  • © IWA Publishing 2012

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Hydrology Research: 49 (2)
  Volume 43, Issue 1-2

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Assessing vegetation response to drought in the Laohahe catchment, North China
Xiaofan Liu, Liliang Ren, Fei Yuan, Jing Xu, Wei Liu
Hydrology Research Feb 2012, 43 (1-2) 91-101; DOI: 10.2166/nh.2011.134
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Assessing vegetation response to drought in the Laohahe catchment, North China
Xiaofan Liu, Liliang Ren, Fei Yuan, Jing Xu, Wei Liu
Hydrology Research Feb 2012, 43 (1-2) 91-101; DOI: 10.2166/nh.2011.134

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Keywords

correlation analysis
drought
NDVI
Palmer drought severity index
regression analysis
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