Trends and drivers of soil multifunctionality along elevation gradients in the Altun Shan drylands of China

被引:0
|
作者
ZHANG Shi-hang [1 ,2 ,3 ]
CHEN Yu-sen [2 ]
LU Yong-xing [1 ,3 ]
GUO Hao [1 ,2 ]
GUO Xing [1 ,2 ]
ZHOU Xiao-bing [1 ]
ZHANG Yuan-ming [1 ]
机构
[1] State Key Laboratory of Desert and Oasis Ecology,Xinjiang Institute of Ecology and Geography,Chinese Academy of Sciences
[2] Key Laboratory of Mountain Surface Processes and Ecological Regulation,Institute of Mountain Hazards and Environment,Chinese Academy of Sciences
[3] University of Chinese Academy of Sciences
基金
中国国家自然科学基金;
关键词
D O I
暂无
中图分类号
S15 [土壤学];
学科分类号
0903 ; 090301 ;
摘要
This study was conducted to analyze the variation of soil multifunctionality(SMF) along elevation and the driving factors in the Altun Shan.Soil samples(0–10 cm) were collected from 15 sites(H01 to H15) at every 200 m elevation interval,covering a total range from 900 m to 3500 m above mean sea level. We investigated climate factors(mean annual temperature, MAT; mean annual precipitation,MAP), soil environment(soil water content, electrical conductance, and pH), vegetation factors, and elevation to determine which of them are the main driving factors of the spatial variability of SMF in the Altun Shan. We explored the best-fit model of SMF along the changes in elevation using a structural equation model, performed variance partitioning analysis(VPA) on SMF with the “varpart” function to explain the relative contribution of various environmental factors to SMF changes, and used a random forest model for relative importance analysis.The results showed that SMF in the Altun Shan significantly increased with elevation in a linear trend.The main driver of changes in SMF was found to be MAP. Although the rise in elevation did not have a significant direct effect on changes in SMF, it could indirectly affect SMF by significantly influencing MAP,p H, MAT, and normalized difference vegetation index(NDVI). When considering climate, soil environment,and vegetation factors together, they explained 76% of the variation in SMF. The largest contribution to the variation in SMF was attributed to the independent effect of climate(0.31) and its interactive effect with soil(0.30). The relative importance of MAP on SMF changes was found to be the greatest. It is indicated that changes in SMF are caused by the combined effect of multiple environmental conditions. These findings are essential for understanding the spatial variability and drivers of SMF in dryland mountain ecosystems, especially concerning the function of mountain ecosystems in the context of global climatic changes.
引用
收藏
页码:3203 / 3214
页数:12
相关论文
共 50 条
  • [31] Changes in soil physicochemical and microbial properties along elevation gradients in two forest soils
    Hu, Lei
    Xiang, Zeyu
    Wang, Genxu
    Rafique, Rashad
    Liu, Wei
    Wang, Changting
    SCANDINAVIAN JOURNAL OF FOREST RESEARCH, 2016, 31 (03) : 242 - 253
  • [32] Effects of Temperature and Moisture on Soil Organic Matter Decomposition Along Elevation Gradients on the Changbai Mountains, Northeast China附视频
    WANG Dan
    HE Nianpeng
    WANG Qing
    L Yuliang
    WANG Qiufeng
    XU Zhiwei
    ZHU Jianxing
    Pedosphere, 2016, (03) : 399 - 407
  • [33] Long‒term trends in surface thermal environment and its potential drivers along the urban development gradients in rapidly urbanizing regions of China
    Zhao, Chengyu
    Zhu, Hongkai
    Zhang, Shuyi
    Jin, Ziwen
    Zhang, Yiwen
    Wang, Yawei
    Shi, Yadie
    Jiang, Jianhui
    Chen, Xiaoyong
    Liu, Min
    Sustainable Cities and Society, 2024, 105
  • [34] Changes in soil C:N:P stoichiometry along an aridity gradient in drylands of northern China
    Wang, Xiao-Guang
    Lu, Xiao-Tao
    Zhang, Hai-Yang
    Dijkstra, Feike A.
    Jiang, Yan-Gao
    Wang, Xiao-Bo
    Lu, Jia-Yu
    Wuyunna
    Wang, Zheng-Wen
    Han, Xing-Guo
    GEODERMA, 2020, 361 (361)
  • [35] Soil microbial network complexity predicts ecosystem function along elevation gradients on the Tibetan Plateau
    Chen, Wenqing
    Wang, Jianyu
    Chen, Xiang
    Meng, Zexin
    Xu, Ran
    Duoji, Dunzhu
    Zhang, Junhong
    He, Jia
    Wang, Zhengang
    Chen, Jun
    Liu, Kaixi
    Hu, Tianming
    Zhang, Yingjun
    SOIL BIOLOGY & BIOCHEMISTRY, 2022, 172
  • [36] Ectomycorrhizal fungi and soil enzymes exhibit contrasting patterns along elevation gradients in southern Patagonia
    Truong, Camille
    Gabbarini, Luciano A.
    Corrales, Adriana
    Mujic, Alija B.
    Escobar, Julio M.
    Moretto, Alicia
    Smith, Matthew E.
    NEW PHYTOLOGIST, 2019, 222 (04) : 1936 - 1950
  • [37] Long-term trends in surface thermal environment and its potential drivers along the urban development gradients in rapidly urbanizing regions of China
    Zhao, Chengyu
    Zhu, Hongkai
    Zhang, Shuyi
    Jin, Ziwen
    Zhang, Yiwen
    Wang, Yawei
    Shi, Yadie
    Jiang, Jianhui
    Chen, Xiaoyong
    Liu, Min
    SUSTAINABLE CITIES AND SOCIETY, 2024, 105
  • [38] Monotonic trends of soil microbiomes, metagenomic and metabolomic functioning across ecosystems along water gradients in the Altai region, northwestern China
    Fu, Qi
    Qiu, Yingbo
    Zhao, Jiayi
    Li, Jiaxin
    Xie, Siqi
    Liao, Qiuchang
    Fu, Xianheng
    Huang, Yu
    Yao, Zhiyuan
    Dai, Zhongmin
    Qiu, Yunpeng
    Yang, Yuchun
    Li, Furong
    Chen, Huaihai
    SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 912
  • [39] Soil pH determines fungal diversity along an elevation gradient in Southwestern China
    Dan Liu
    Guohua Liu
    Li Chen
    Juntao Wang
    Limei Zhang
    Science China(Life Sciences), 2018, (06) : 718 - 726
  • [40] Soil pH determines fungal diversity along an elevation gradient in Southwestern China
    Dan Liu
    Guohua Liu
    Li Chen
    Juntao Wang
    Limei Zhang
    Science China Life Sciences, 2018, 61 : 718 - 726