Study on Nutrient Content of Bothriochloa Ischaemum Community in the Loess Hilly-Gully Region Based on Spectral Characteristics
Spectroscopy and Spectral Analysis(2023)
摘要
Exploring the relationship between spectral characteristics and nutrient content of the grassland communities is of great significance for promoting the application of rapid non-destructive testing technology in grassland fertilization management, which can be used to diagnose the nutritional status of the grassland communities by hyperspectral technology. A typical grassland community in the Loess Hilly-gully region on the Loess Plateau, Bothriochloa ischaemum community, was investigated with treatments of four nitrogen (N) addition (0, 25, 50, and 100 kg center dot N center dot ha(-1) center dot yr(-1)) and four phosphorus (P) addition treatments (0, 20, 40, and 80 P2O5 center dot kg center dot ha(-1) center dot yr(-1)). Based on hyperspectral and community N and P nutrient content measurements, combined with the first derivative treatment in the red-edge region, 18 characteristicspectral parameters consisting of vegetation indexes, characteristic bands and red-edge parameters, the characteristicspectral parameters sensitive to the N and P content and N : P ratio of B. ischaemum community were screened by multiple linear stepwise regression (SWR) methods, and an inverse model was established to estimate the aboveground total N content and total P content and N : P ratio in the community. Results showed that the N and P content of the B. ischaemum community increased with N application, and the N : P ratio decreased with P application; the spectral reflectance under N and P addition is inversely proportional to fertilizer application in the visible band and positively proportional to fertilizer application in the near-infrared band, and the "double-peak phenomenon" of the first derivative in the red-edge region was significantly affected by N and P addition. Among them, TBSI, R-910 and AMP contributed significantly to the model for N estimation (R-2 =0. 87, F=18. 8* * *), while DVI, mSR705, R-430, R-660 and AMP contributed significantly to the model for P estimation (R-2 =0. 91, F=20. 51* * *), and Slope725 contributed the most to the model for the estimation of N : P ratio (R-2 = 0. 54, F= 5. 14* * *). This study used hyperspectral technology to achieve a rapid estimation of the N and P content of the B. ischaemum community, and based on the significant correlation between N and P content and N : P ratio and spectral feature parameters, the parameter combination with the highest accuracy was selected, which laid a foundation for the method and parameter selection of monitoring grassland nutrient content after N and P addition at large scale.
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关键词
First derivative,Red edge parameters,Vegetation index,Stepwise regression,N and P addition
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