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Relationships between soil respiration and hyperspectrum in different croplands
Received:October 07, 2019  
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KeyWord:cropland;soil respiration;soil temperature;hyperspectrum;vegetation indexes
Author NameAffiliationE-mail
YAO Xue-wen Jiangsu Key Laboratory of Agricultural Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China
School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China 
 
CHEN Shu-tao Jiangsu Key Laboratory of Agricultural Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China
School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China 
chenstyf@aliyun.com 
WANG Jun Jiangsu Key Laboratory of Agricultural Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China
School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China 
 
DENG Xi-ming Jiangsu Key Laboratory of Agricultural Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China
School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China 
 
ZHANG Ting-ting Jiangsu Key Laboratory of Agricultural Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China
School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China 
 
HU Zheng-hua School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China  
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Abstract:
      In order to investigate the relationship between soil respiration and hyperspectrum, a field randomized block experiment with three crops of winter wheat, rapeseed, and broad bean was performed from October 2018 to May 2019. The changes in soil respiration, soil temperature, and soil moisture dynamics were measured. The normalized difference vegetation index (NDVI), difference vegetation index (DVI), ratio vegetation index (RVI), enhanced vegetation index (EVI), and photochemical reflectance index (PRI)obtained from the hyperspectral method and the SPAD value of chlorophyll were also determined. The results indicated that the seasonal mean soil respiration values were 1.78±0.15, 1.35±0.27 μmol·m-2·s-1, and 1.61±0.22 μmol·m-2·s-1 for winter wheat, rapeseed, and broad bean croplands, respectively. Soil respiration was significantly (P<0.05)higher in the winter wheat plots than in the rapeseed plots. There was no significant (P>0.05)difference in soil respiration between the plots of winter wheat and broad bean and between those of rapeseed and broad bean. Residual soil respiration computed as the difference between the modeled soil respiration using the soil temperature and exponential function and the observed soil respiration was significantly (P<0.05)or extremely significantly (P<0.01)correlated with the NDVI, RVI, EVI, PRI, and SPAD values in winter wheat cropland. Residual soil respiration was extremely significantly (P<0.01)correlated with the NDVI, DVI, RVI, EVI, and PRI in broad bean cropland. There was no such correlation between the residual soil respiration and vegetation indexes in the rapeseed cropland owing to the flowering from March to April. A model based on the soil temperature, NDVI, RVI, PRI, and SPAD values and one based on soil temperature and RVI values were established to simulate soil respiration in winter wheat and broad bean croplands, respectively. The seasonal changes in soil respiration were only controlled by the soil temperature, moisture, and SPAD value in rapeseed cropland.