Investigation of Spectral Variation of Pine Needles as an Indicator of Arsenic Content in Soils

• Main Authors: Ji Hye Shin, Jaehyung Yu, Lei Wang, Jieun Kim, Sang-Mo Koh
• Format: Article
• Language: English
• Published: MDPI AG 2019-08-01
• Series: Minerals
• Subjects: arsenic; pine needle; regression analysis; soil spectroscopy; heavy metal
• Online Access: https://www.mdpi.com/2075-163X/9/8/498

The spectral response to arsenic (As) stress of pine needles (<i>Pinus densiflora</i> Siebold and Zucc.) from an abandoned lead (Pb)&#8722;zinc (Zn) mine was investigated based on chemical and spectroscopic analyses. The correlation analysis between the content of As in needle samples and that of soils and spectral parameters of the needle samples were conducted. The results showed very high correlation between As content in pine needles and soils. The major spectral response of pine needles to the As stress were characterized by the increase in the green and red color reflectance, the decrease in the first derivatives at 1648 nm, and the shrink in the red absorption feature. These changes were caused by the pigment content loss and the structural changes of phenolic compounds in the pine needles due to the As content. The linear regression analysis with the stepwise method showed the first derivatives at 668 nm and 1648 nm were the most useful variables in the regression model for As content prediction in pine needles. The As index of pine needles could be used to detect As content in soils associated with As and heavy metals contamination and/or mineralization in coniferous forests.