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Effects of topography on soil organic carbon stocks in grasslands of a semiarid alpine region, northwestern China

  • Meng Zhu
  • Qi Feng
  • Mengxu Zhang
  • Wei Liu
  • Yanyan Qin
  • Ravinesh C. Deo
  • Chengqi Zhang
Soils, Sec 1 • Soil Organic Matter Dynamics and Nutrient Cycling • Research Article
  • 32 Downloads

Abstract

Purpose

Soil organic carbon (SOC) in mountainous regions is characterized by strong topography-induced heterogeneity, which may contribute to large uncertainties in regional SOC stock estimation. However, the quantitative effects of topography on SOC stocks in semiarid alpine grasslands are currently not well understood. Therefore, the purpose of this research study is to determine the role of topography in shaping the spatial patterns of SOC stocks.

Materials and methods

Soils from the summit, shoulder, backslope, footslope, and toeslope positions along nine toposequences within three elevation-dependent grassland types (i.e., montane desert steppe at ~ 2450 m, montane steppe at ~ 2900 m, and subalpine meadow at ~ 3350 m) are sampled at four depths (0–10, 10–20, 20–40, and 40–60 cm). SOC content, bulk density, soil texture, soil water content, and grassland biomass are determined. The general linear model (GLM) is employed to quantify the effects of topography on the SOC stocks. Ordinary least squares regressions are performed to explore the underlying relationships between SOC stocks and the other edaphic factors.

Results and discussion

In accordance with the present results, the SOC stocks at 0–60 cm show an increasing trend in respect to the elevation zone, with the highest stock being approximately 37.70 g m−2 in the subalpine meadow, about 2.07 and 3.41 times larger than that in the montane steppe and montane desert steppe, respectively. Along the toposequences, it is revealed the SOC stocks are maximal at toeslope, reaching to 14.98, 31.76, and 49.52 kg m−2, which are also significantly larger than those at the shoulder by a factor of 1.38, 2.31, and 1.44, in montane desert steppe, montane steppe, and subalpine meadow, respectively. Topography totally is seen to explain about 84% of the overall variation in SOC stocks, of which 70.61 and 9.74% are attributed to elevation zone and slope position, while the slope aspect and slope gradient are seen to plausibly explain only about 1.84 and 0.01%, respectively.

Conclusions

The elevation zone and the slope position are seen to markedly shape the spatial patterns of the SOC stocks, and thus, they may be considered as key indicating factors in constructing the optimal SOC estimation model in such semiarid alpine grasslands.

Keywords

Elevation Grasslands Semiarid alpine region Slope position Soil organic carbon stocks 

Notes

Acknowledgments

We sincerely appreciate the staff from the Xishui Forest Ecological Station of the Gansu Province Qilian Mountains Water Resource Conservation Forest Research Institute for their support to our filed work. We also wish to appreciate Prof. Fu-Ping Zhang and his students from Shaanxi Normal University for analyzing soil samples. The authors thank all reviewers and the journal Editor whose comments have improved the clarity of the revised manuscript.

Funding information

This study was supported by the National Key R&D Program of China (No. 2017YFC0404305), the National Natural Science Fund of China (No. 41771252), the Grants from the Key Project of the Chinese Academy of Sciences (No. QYZDJ-SSW-DQC031), the Major Program of the Natural Science Foundation of Gansu province, China (No. 18JR4RA002), and the Opening Fund of Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, CAS (No. LPCC2017005).

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhouChina
  2. 2.University of Chinese Academy of SciencesBeijingChina
  3. 3.Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhouChina
  4. 4.School of Agricultural Computational and Environmental Sciences, Institute of Life Sciences and the Environment (IAg&E)University of Southern QueenslandSpringfieldAustralia

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