Biogeographic Patterns of Sulfur in the Vegetation of the Tibetan Plateau

Sulfur (S) plays an important role in plant growth and development. However, due to climatic conditions and limited data availability, the variation and allocation of S are largely unknown at regional or global scales. In this study, we systematically evaluated the S distribution patterns and storage in vegetation on the Tibetan Plateau for the first time, based on consistent field-measured data of 2,040 plant communities. The mean S contents of leaves, branches, trunks, and roots were 1.68, 0.40, 0.19, and 1.45 g kg (-1), respectively; corresponding to S densities of 0.40 x 10(-2) (9.57%), 1.18 x 10(-2) (28.38%), 1.37 x 10(-2) (32.90%) and 1.21 x 10(-2) t hm(-2) (29.15%), respectively. The mean S densities for forests (5.59 +/- 0.26 x 10(-2) t hm (-2)) were higher than that of shrublands (4.54 +/- 0.51 x 10 (-2) t hm(-2)), grasslands (1.03 +/- 0.07 x 10(-2) t hm(-2)), and deserts (1.32 +/- 0.28 x 10(-2) t hm(-2)). The S density was generally lower in the northwest and higher in the southeast of the Tibetan Plateau and had divergent allocation patterns between different plant organs and vegetation types. Furthermore, we found that S in leaves and roots was more strongly influenced by environmental factors and was particularly sensitive to radiation and atmospheric pressure. Moreover, the total S storage in the vegetation of the Tibetan Plateau was estimated to be 337.32 x 10 (4) t, with 114.32 x 10 (4) (33.89%), 92.36 x 10(4) (27.38%), 128.77 x 10(4) (38.17%), and 1.86 x 10 (4) t (0.55%) in the forests, shrublands, grasslands, and deserts, respectively. Our study clarified the S densities of different plant organs and ecosystems on the Tibetan Plateau and compiled 1 x 1 km vegetation S density data sets, which could help determine the key parameters for regional S cycle models in the future.

Automated summary

In this study, the distribution patterns and storage of sulfur (S) in vegetation on the Tibetan Plateau were evaluated. The study found that the allocation pattern of S varied between different plant organs and vegetation types. The study also compiled a vegetation S density dataset for the Tibetan Plateau, which can help determine key parameters for regional S cycle models in the future.