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. 2023 Apr 6:14:1092872.
doi: 10.3389/fpls.2023.1092872. eCollection 2023.

Characteristics and drivers of plant C, N, and P stoichiometry in Northern Tibetan Plateau grassland

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Characteristics and drivers of plant C, N, and P stoichiometry in Northern Tibetan Plateau grassland

Wei Wang et al. Front Plant Sci. .

Abstract

Understanding vegetation C, N, and P stoichiometry helps us not only to evaluate biogeochemical cycles and ecosystem functions but also to predict the potential impact of environmental change on ecosystem processes. The foliar C, N, and P stoichiometry in Northern Tibetan grasslands, especially the controlling factors, has been highlighted in recent years. In this study, we have collected 340 plant samples and 162 soil samples from 54 plots in three grassland types, with the purpose of evaluating the foliar C, N, and P stoichiometry and underlying control factors in three grassland types along a 1,500-km east-to-west transect in the Northern Tibetan Plateau. Our results indicated that the averaged foliar C, N, and P concentrations were 425.9 ± 15.8, 403.4 ± 22.2, and 420.7 ± 30.7 g kg-1; 21.7 ± 2.9, 19.0 ± 2.3, and 21.7 ± 5.2 g kg-1; and 1.71 ± 0.29, 1.19 ± 0.16, and 1.59 ± 0.6 g kg-1 in the alpine meadow (AM), alpine steppe (AS), and desert steppe (DS) ecosystems, respectively. The foliar C and N ratios were comparable, with values of 19.8 ± 2.8, 20.6 ± 1.9, and 19.9 ± 5.8 in the AM, AS, and DS ecosystems, respectively. Both the C/P and N/P ratios are the lowest in the AM ecosystem, with values of 252.2 ± 32.6 and 12.8 ± 1.3, respectively, whereas the highest values of 347.3 ± 57.0 and 16.2 ± 3.2 were obtained in the AS ecosystem. In contrast, the soil C, N, C/P, and N/P values decreased from the AM to DS ecosystem. Across the whole transects, leaf C, N, and P stoichiometry showed no obvious trend, but soil C and N concentrations showed an increasing trend, and soil P concentrations showed a decreasing trend with the increasing longitude. Based on the general linear model analysis, the vegetation type was the dominant factor controlling the leaf C, N, and P stoichiometry, accounting for 42.8% for leaf C, 45.1% for leaf N, 35.2% for leaf P, 52.9% for leaf C/N, 39.6% for leaf C/P, and 48.0% for leaf N/P; the soil nutrients and climate have relatively low importance. In conclusion, our results supported that vegetation type, rather than climatic variation and soil nutrients, are the major determinants of north Tibet grassland leaf stoichiometry.

Keywords: C; N; North Tibetan Plateau; and P stoichiometry; grassland type; influence factors; plant and soil.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Location of the sampling sites.
Figure 2
Figure 2
Frequency of the foliar C, N, and P stoichiometry in study area.
Figure 3
Figure 3
Comparison of foliar C, N, and P stoichiometry in different grassland types. Different letters above the column means the differences was significant at 0.05 level.
Figure 4
Figure 4
Comparison of soil C, N, and P stoichiometry in different grassland types. Different letters above the column means the differences was significant at 0.05 level.
Figure 5
Figure 5
Longitude pattern of foliar and soil C, N, and P stoichiometry across north Tibet grassland.

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References

    1. Aerts R., Chapin F. S. (1999). The mineral nutrition of wild plants revisited: A re-evaluation of processes and patterns. Adv. Ecol. Res. 30, 1–67. doi: 10.1016/s0065-2504(08)60016-1 - DOI
    1. Bao S. D. (2000). Soil agro-chemistrical analysis. 3rd ed. (China Agriculture Science and Technique Press; ).
    1. Bertiller M. B., Sain C. L., Carrera A. L., Vargas D. N. (2005). Patterns of nitrogen and phosphorus conservation in dominant perennial grasses and shrubs across an aridity gradient in Patagonia, Argentina. J. Arid. Environ. 62, 209–223. doi: 10.1016/j.jaridenv.2004.11.011 - DOI
    1. Bista D. R., Heckathorn S. A., Jayawardena D. M., Mishra S., Boldt J. K. (2018). Effects ofdrought on nutrient uptake and the levels of nutrient-uptake proteins in roots of drought-sensitive and tolerant grasses. Plants 7, 28. doi: 10.3390/plants7020028 - DOI - PMC - PubMed
    1. Cai Q., Ding J. X., Zhang Z. L., Hu J., Wang Q. T., Yin M. Z., et al. . (2019). Distribution patterns and driving factors of leaf c, n and p stoichiometry of coniferous species on the eastern qinghai-xizang plateau, China. Chin. J. Plant Ecol. 43, 1048–1060. doi: 10.17521/cjpe.2019.0221 - DOI