Detecting Suaeda salsa L. chlorophyll fluorescence response to salinity stress by using hyperspectral reflectance

• Autorzy: Zhang H. , Hu H. , Zhang X. , Wang K. , Song T. , Zeng F.
• Języki publikacji: EN

Abstrakty

EN

Measurements of chlorophyll fluorescence and hyperspectral reflectance were used to detect salinity stress in Suaeda salsa L., beach of Dongtai, Jiangsu Province, China. Three experimental sites were used in our study, which belong to low salinity, middle salinity and high salinity. The results showed that leaf chlorophyll fluorescence changed along salinity gradient. To select the sensitive hyperspectral ranges of leaf chlorophyll fluorescence, the correlationship between leaf chlorophyll fluorescence and hyperspectral reflectance was regressed and analyzed. Statistical results indicated that the 680 and 935 nm were the most sensitive hyperspectral bands for estimating leaf chlorophyll fluorescence. Then, 11 relative hyperspectral indices were selected based on the sensitive bands and previous literature. (R680 - R935)/(R680 + R935) and R680/ R935 have higher correlationship coefficient (R) and lower root mean square error, may be used for detecting chlorophyll fluorescence, such as Fo, Fm, Fv/Fm, qP, and UPSII, while NPQ may be detected by (R780 – R710)/ (R780 - R680). These results suggest that chlorophyll fluorescence of halophyte response to salinity stress could be identified by remote sensing.

• Wydawca: -
• Czasopismo: Acta Physiologiae Plantarum
• Rocznik: 2012
• Tom: 34
• Numer: 2
• Opis fizyczny: p.581-588,fig.,ref.

Twórcy

autor

Zhang H.

• Key Laboratory of Agro-Ecological Processes, Institute of Subtropical Agriculture, Chinese Academy of Sciences, 410125 Changsha, China
• Huanjiang Experimental Station of Karst Ecosystem, Chinese Academy of Sciences, 547100 Huanjiang, China

autor

Hu H.

• Key Laboratory of DIgital Agriculture, Institute of Digital Agricultural Research, Zhejiang Academy of Agricultural Sciences, 310021 Hangzhou, China

autor

Zhang X.

• Key Laboratory of DIgital Agriculture, Institute of Digital Agricultural Research, Zhejiang Academy of Agricultural Sciences, 310021 Hangzhou, China

autor

Wang K.

• Key Laboratory of Agro-Ecological Processes, Institute of Subtropical Agriculture, Chinese Academy of Sciences, 410125 Changsha, China
• Huanjiang Experimental Station of Karst Ecosystem, Chinese Academy of Sciences, 547100 Huanjiang, China

autor

Song T.

• Key Laboratory of Agro-Ecological Processes, Institute of Subtropical Agriculture, Chinese Academy of Sciences, 410125 Changsha, China

autor

Zeng F.

• Huanjiang Experimental Station of Karst Ecosystem, Chinese Academy of Sciences, 547100 Huanjiang, China

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