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SPEI和植被遙感信息監(jiān)測西南地區(qū)干旱差異分析
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國家自然科學基金項目(52079103)


Difference Analysis of SPEI and Vegetation Remote Sensing Information in Drought Monitoring in Southwest China
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    摘要:

    基于西南地區(qū)2000—2018年不同時間尺度的標準化降水蒸散指數(SPEI-1,、SPEI-3,、SPEI-12),應用線性趨勢法和曼肯德爾檢驗(Mann-Kendall test, M-K)法分析了西南地區(qū)氣象干旱的時間變化特征,評價了日光誘導葉綠素熒光(SIF),、歸一化植被指數(NDVI)以及增強型植被指數(EVI)等植被遙感數據對區(qū)域植被狀況監(jiān)測的有效性及差異性,。結果表明:2000—2018年西南地區(qū)SPEI整體上呈微弱增加趨勢,其中,,2000—2013年間,,SPEI-12呈下降趨勢(趨勢率為-0.05/(10a),R2=0.295),,2014—2018年間,,SPEI-12時間序列呈上升趨勢(趨勢率為0.04/(10a),R2=0.094),,說明在氣候變化背景下,,近年來西南地區(qū)的干旱化趨勢有所緩解。SPEI-12的趨勢突變點發(fā)生在2016年和2017年,。相對于植被綠度指數NDVI和EVI,,SIF對植被生長季發(fā)生的長期和短期干旱事件均表現出較大負異常,說明SIF可快速獲取水分脅迫下的植被光合作用信息,。森林,、農田和草地的SIF與不同時間尺度氣象干旱指數的相關性均高于NDVI和EVI,SIF對森林,、農田及草地植被生態(tài)系統(tǒng)干旱監(jiān)測的敏感性優(yōu)于傳統(tǒng)的植被綠度指數,;草地的SIF與SPEI-1的相關性更高(R=0.859, P<0.01),其光合作用對短期水分脅迫最為敏感,。本研究可為西南地區(qū)干旱的綜合應對,、水資源管理調控及生態(tài)治理提供科學依據。

    Abstract:

    Since 2000, drought has occurred frequently in Southwest China, which has seriously affected social production and ecological environment. Therefore, studying the temporal evolution characteristics of meteorological drought and its impact on vegetation growth can provide theoretical basis for scientific management of regional water resources and ecological control. Based on the monthly precipitation and temperature data of Southwest China from 2000 to 2018, the standardized precipitation evapotranspiration index of different time scales was calculated. The linear trend method and Mann-Kendall (M-K) test were used to analyze the temporal variation characteristics of meteorological drought in Southwest China. The effectiveness and difference of solarinduced chlorophyll fluorescence (SIF), normalized differential vegetation index (NDVI) and enhanced vegetation index (EVI) in vegetation stress monitoring were evaluated. Furthermore, the response of vegetation to drought was also explored. The results showed that SPEI values showed a weak increasing trend in all time scales from 2000 to 2018. From 2000 to 2013, SPEI-12 showed a downward trend (the trend rate was -005/(10a), R2=0.295), and from 2014 to 2018, SPEI-12 time series showed an increasing trend (the trend rate was 004/(10a), R2=0.094), indicating that the drought trend in Southwest China was alleviated in recent years under the background of climate change. The turning point of SPEI-12 time series occurred in 2016 and 2017 respectively. Compared with NDVI and EVI, SIF showed obvious negative anomalies for both longterm and shortterm drought events during vegetation growing season, and it can quickly obtain the information of vegetation photosynthesis under water stress. The correlation between SIF of forest, farmland and grassland and meteorological drought index at different time scales was higher than NDVI and EVI, which meant that the sensitivity of SIF of forest, farmland and grassland vegetation ecosystem to drought monitoring was better than that of traditional vegetation greenness index. The correlation between SIF of grassland and SPEI-1 was higher (R=0.859, P<0.01), which indicated the grassland photosynthesis was more sensitive to shortterm water stress. The research results can provide scientific basis for comprehensive drought coping, water resources management and ecological control in Southwest China. 

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史曉亮,吳夢月,丁皓. SPEI和植被遙感信息監(jiān)測西南地區(qū)干旱差異分析[J].農業(yè)機械學報,2020,51(12):184-192. SHI Xiaoliang, WU Mengyue, DING Hao. Difference Analysis of SPEI and Vegetation Remote Sensing Information in Drought Monitoring in Southwest China[J]. Transactions of the Chinese Society for Agricultural Machinery,2020,51(12):184-192.

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  • 收稿日期:2020-08-22
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  • 在線發(fā)布日期: 2020-12-10
  • 出版日期: 2020-12-10
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