Anomaly Variation of Vegetation and Its Influencing Factors in Mainland China During ENSO Period
Considering the noncore region influenced by El Niño-Southern Oscillation (ENSO) events, China is hardly investigated in terms of the vegetation variation during the ENSO period.Therefore, this study focused on increasing knowledge of vegetation growth and variation during the ENSO period...
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doaj-821659f1cf404ced8b2572528515e39b2021-03-30T02:47:28ZengIEEEIEEE Access2169-35362020-01-01872173410.1109/ACCESS.2019.29627878945252Anomaly Variation of Vegetation and Its Influencing Factors in Mainland China During ENSO PeriodQingzhi Zhao0https://orcid.org/0000-0002-6715-0877Xiongwei Ma1https://orcid.org/0000-0002-5609-0880Wanqiang Yao2https://orcid.org/0000-0002-8584-3810Yang Liu3https://orcid.org/0000-0003-3855-2903Yibin Yao4https://orcid.org/0000-0001-6928-9939College of Geomatics, Xi’an University of Science and Technology, Xi’an, ChinaCollege of Geomatics, Xi’an University of Science and Technology, Xi’an, ChinaCollege of Geomatics, Xi’an University of Science and Technology, Xi’an, ChinaCollege of Geomatics, Xi’an University of Science and Technology, Xi’an, ChinaSchool of Geodesy and Geomatics, Wuhan University, Wuhan, ChinaConsidering the noncore region influenced by El Niño-Southern Oscillation (ENSO) events, China is hardly investigated in terms of the vegetation variation during the ENSO period.Therefore, this study focused on increasing knowledge of vegetation growth and variation during the ENSO period.The novelty of this paper is introduced the moving window correlation analysis method to determine the thresholds of vegetation response to sea surface temperature anomaly (SSTa) and southern oscillation index (SOI) and analyze the main reasons for such variations.China was divided into seven areas based on different weather conditions, and the variations in vegetation growth in various areas during the ENSO period were analyzed. The response of vegetation to ENSO events in China was analyzed from the perspectives of precipitable water vapor (PWV), temperature, and precipitation, thereby revealing the interplay of multi-factors on vegetation growth.The main conclusions include (1) a positive vegetation response to El Niño exists all over China with thresholds of SSTa ≥ 1.87°C and SOI ≤ -3.27hPa, whereas a negative response of vegetation variation to La Niña exists with thresholds of SSTa ≤ -1.05°C and SOI ≥ 1.7hPa; (2) the correlations (p <; 0.05) of PWV to normalized difference vegetation index (NDVI) (PWV-NDVI), temperature-NDVI, and precipitation-NDVI reached 0.84, 0.86, and 0.68, respectively, and PWV, temperature, and precipitation were negatively/positively abnormal during El Niño/La Niña periods; (3) in coastal areas of Southeast China, correlations between NDVI and PWV/temperature/ precipitation are poor and the opposite anomalies of PWV/temperature/ precipitation existed when compared to other areas of China.https://ieeexplore.ieee.org/document/8945252/ENSOanomaly variation of vegetationinfluencing factorsmainland China |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Qingzhi Zhao Xiongwei Ma Wanqiang Yao Yang Liu Yibin Yao |
spellingShingle |
Qingzhi Zhao Xiongwei Ma Wanqiang Yao Yang Liu Yibin Yao Anomaly Variation of Vegetation and Its Influencing Factors in Mainland China During ENSO Period IEEE Access ENSO anomaly variation of vegetation influencing factors mainland China |
author_facet |
Qingzhi Zhao Xiongwei Ma Wanqiang Yao Yang Liu Yibin Yao |
author_sort |
Qingzhi Zhao |
title |
Anomaly Variation of Vegetation and Its Influencing Factors in Mainland China During ENSO Period |
title_short |
Anomaly Variation of Vegetation and Its Influencing Factors in Mainland China During ENSO Period |
title_full |
Anomaly Variation of Vegetation and Its Influencing Factors in Mainland China During ENSO Period |
title_fullStr |
Anomaly Variation of Vegetation and Its Influencing Factors in Mainland China During ENSO Period |
title_full_unstemmed |
Anomaly Variation of Vegetation and Its Influencing Factors in Mainland China During ENSO Period |
title_sort |
anomaly variation of vegetation and its influencing factors in mainland china during enso period |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2020-01-01 |
description |
Considering the noncore region influenced by El Niño-Southern Oscillation (ENSO) events, China is hardly investigated in terms of the vegetation variation during the ENSO period.Therefore, this study focused on increasing knowledge of vegetation growth and variation during the ENSO period.The novelty of this paper is introduced the moving window correlation analysis method to determine the thresholds of vegetation response to sea surface temperature anomaly (SSTa) and southern oscillation index (SOI) and analyze the main reasons for such variations.China was divided into seven areas based on different weather conditions, and the variations in vegetation growth in various areas during the ENSO period were analyzed. The response of vegetation to ENSO events in China was analyzed from the perspectives of precipitable water vapor (PWV), temperature, and precipitation, thereby revealing the interplay of multi-factors on vegetation growth.The main conclusions include (1) a positive vegetation response to El Niño exists all over China with thresholds of SSTa ≥ 1.87°C and SOI ≤ -3.27hPa, whereas a negative response of vegetation variation to La Niña exists with thresholds of SSTa ≤ -1.05°C and SOI ≥ 1.7hPa; (2) the correlations (p <; 0.05) of PWV to normalized difference vegetation index (NDVI) (PWV-NDVI), temperature-NDVI, and precipitation-NDVI reached 0.84, 0.86, and 0.68, respectively, and PWV, temperature, and precipitation were negatively/positively abnormal during El Niño/La Niña periods; (3) in coastal areas of Southeast China, correlations between NDVI and PWV/temperature/ precipitation are poor and the opposite anomalies of PWV/temperature/ precipitation existed when compared to other areas of China. |
topic |
ENSO anomaly variation of vegetation influencing factors mainland China |
url |
https://ieeexplore.ieee.org/document/8945252/ |
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