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author:

Zhou, Hongkui (Zhou, Hongkui.) [1] | Wu, Jianjun (Wu, Jianjun.) [2] | Geng, Guangpo (Geng, Guangpo.) [3] | Li, Xiaohan (Li, Xiaohan.) [4] | Wang, Qianfeng (Wang, Qianfeng.) [5] | Lei, Tianjie (Lei, Tianjie.) [6] | Mo, Xinyu (Mo, Xinyu.) [7] | Liu, Leizhen (Liu, Leizhen.) [8]

Indexed by:

EI

Abstract:

Agricultural drought differs from meteorological, hydrological, and socioeconomic drought, being closely related to soil water availability in the root zone, specifically for crop and crop growth stage. In previous studies, several soil moisture indices (e.g., the soil moisture index, soil water deficit index) based on soil water availability have been developed for agricultural drought monitoring. However, when developing these indices, it was generally assumed that soil water availability to crops was equal throughout the root zone, and the effects of root distribution and crop growth stage on soil water uptake were ignored. This article aims to incorporate root distribution into a soil moisture-based index and to evaluate the performance of the improved soil moisture index for agricultural drought monitoring. The Huang-Huai-Hai Plain of China was used as the study area. Overall, soil moisture indices were significantly correlated with the crop moisture index (CMI), and the improved root-weighted soil moisture index (RSMI) was more closely related to the CMI than averaged soil moisture indices. The RSMI correctly identified most of the observed drought events and performed well in the detection of drought levels. Furthermore, the RSMI had a better performance than averaged soil moisture indices when compared to crop yield. In conclusion, soil moisture indices could improve agricultural drought monitoring by incorporating root distribution. © 2017 American Water Resources Association

Keyword:

Crops Drought Forestry Monitoring Plants (botany) Soil moisture

Community:

  • [ 1 ] [Zhou, Hongkui]Faculty of Geographical Science, Center for Drought and Risk Research, and State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing; 100875, China
  • [ 2 ] [Wu, Jianjun]Faculty of Geographical Science, Center for Drought and Risk Research, and State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing; 100875, China
  • [ 3 ] [Geng, Guangpo]Faculty of Geographical Science, Center for Drought and Risk Research, and State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing; 100875, China
  • [ 4 ] [Li, Xiaohan]Faculty of Geographical Science, Center for Drought and Risk Research, and State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing; 100875, China
  • [ 5 ] [Wang, Qianfeng]College of Environment and Resources, Fuzhou University, Fuzhou; Fujian; 350116, China
  • [ 6 ] [Lei, Tianjie]China Institute of Water Resources and Hydropower Research, Beijing; 100038, China
  • [ 7 ] [Mo, Xinyu]Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing; 100101, China
  • [ 8 ] [Liu, Leizhen]Faculty of Geographical Science, Center for Drought and Risk Research, and State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing; 100875, China

Reprint 's Address:

  • [wu, jianjun]faculty of geographical science, center for drought and risk research, and state key laboratory of earth surface processes and resource ecology, beijing normal university, beijing; 100875, china

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Source :

Journal of the American Water Resources Association

ISSN: 1093-474X

Year: 2017

Issue: 6

Volume: 53

Page: 1409-1423

2 . 1 6

JCR@2017

2 . 6 0 0

JCR@2023

ESI HC Threshold:247

JCR Journal Grade:2

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 6

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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