NDLI: Effects of bedrock on the chemical and Sr isotopic compositions of plants

Content Provider	Springer Nature Link
Author	Song, Byeong Yeol Gautam, Mukesh Kumar Ryu, Jong Sik Lee, Dongho Lee, Kwang Sik
Copyright Year	2015
Abstract	This study was conducted to investigate the relationship between the chemical and isotopic compositions of plants and the lithology of their growth location. This relationship is one of the principles underlying the geographical discrimination used for agricultural, forestry, and food products. Locations in South Korea with solely basaltic (Jeju), granitic (Gongju), and carbonate (Yeongwol) rocks were selected as test sites, and bedrocks, soils, and plants in each location were sampled. The multi-element compositions and Sr isotope ratios ($^{87}$Sr/$^{86}$Sr) were analyzed for all samples, including various soil fractions (exchangeable, carbonates, silicates) and plant parts (tree leaves, vegetable leaves, and fruits). Based on a preliminary statistical analysis (ANOVA), Ca, Mg, K, Al, Sr concentrations, and $^{87}$Sr/$^{86}$Sr ratios were selected as key variables with greater variability with location. Using these variables, a multivariate statistical analysis was conducted, and three soil fractions and plant parts were successfully discriminated according to their geographical origin (i.e., bedrock type) with statistical significance. The results indicated that Sr isotope ratios of bedrocks can be preserved in soils (except in silicate fractions) and plants throughout weathering and plant physiological processes, and are the most critical variable in the tracing of bedrock characteristics.
Starting Page	829
Ending Page	837
Page Count	9
File Format	PDF
ISSN	18666280
Journal	Environmental Earth Sciences
Volume Number	74
Issue Number	1
e-ISSN	18666299
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2015-02-03
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Multi-element composition Sr isotopes Geographical discrimination Multivariate statistical analysis Geology Hydrology/Water Resources Geochemistry Environmental Science and Engineering Terrestrial Pollution Biogeosciences
Content Type	Text
Resource Type	Article
Subject	Global and Planetary Change Earth-Surface Processes Soil Science Environmental Chemistry Pollution Geology Water Science and Technology

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