1. [Differences and drivers of leaf stable carbon and nitrogen isotope in herbs under different vegetation types on the eastern Qinghai-Tibet Plateau].
- Author
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Che M, Liu S, Xu GX, Chen J, Xing HS, Li FF, Zhang MM, Cao XW, and Shi ZM
- Subjects
- Tibet, China, Forests, Altitude, Trees growth & development, Trees metabolism, Trees chemistry, Tracheophyta growth & development, Tracheophyta chemistry, Tracheophyta metabolism, Grassland, Poaceae growth & development, Poaceae chemistry, Poaceae metabolism, Plant Leaves chemistry, Plant Leaves metabolism, Nitrogen Isotopes analysis, Carbon Isotopes analysis, Ecosystem
- Abstract
The natural abundance of stable carbon and nitrogen isotopes (δ
13 C and δ15 N) in leaves can provide comprehensive information on the physiological and ecological processes of plants and has been widely used in ecological research. However, recent studies on leaf δ13 C and δ15 N have focused mainly on woody species, few studies have been conducted on herbs in different vegetation types, and their differences and driving factors are still unclear. In this study, we focused on the herbs in subalpine coniferous forests, alpine shrublands, and alpine mea-dows on the eastern Qinghai-Tibet Plateau, and investigated the differences in leaf δ13 C and δ15 N of herbs and the driving factors. The results showed that there were significant differences in leaf δ13 C and δ15 N values of herbs among different vegetation types, with the highest δ13 C and δ15 N values in alpine meadows, followed by alpine shrublands, and the lowest in subalpine coniferous forests. Using variation partitioning analysis, we revealed that differences in leaf δ13 C and δ15 N of herbs among various vegetation types were driven by both leaf functional traits and climate factors, with the contribution of leaf functional traits being relatively higher than that of climate factors. Hierarchical partitioning results indicated that mean annual temperature (MAT), chlorophyll content index, leaf nitrogen content per unit area (Narea ), and leaf mass per area were the main drivers of leaf δ13 C variations of herbs across different vegetation types, while the relative importance of Narea and MAT for variation in leaf δ15 N of herbs was much higher than those other variables. There was a strong coupling relationship between leaf δ13 C and δ15 N as indicated by the result of the ordinary least squares regression. Our findings could provide new insights into understanding the key drivers of leaf δ13 C and δ15 N variations in herbs across different vegetation types.- Published
- 2024
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