2 Works

Data from: The microbially-mediated soil organic carbon loss under degenerative succession in an alpine meadow

Yuguang Zhang, Xiao Liu, Jing Cong, Hui Lu, Yuyu Sheng, Xiulei Wang, Diqiang Li, Xueduan Liu, Huaqun Yin, Jizhong Zhou & Ye Deng
Land-cover change has long been recognized as having marked effect on the amount of soil organic carbon (SOC). However, the microbially-mediated processes and mechanisms on SOC are still unclear. In this study, the soil samples in a degenerative succession from alpine meadow to alpine steppe meadow in the Qinghai-Tibetan Plateau were analyzed using high-throughput technologies, including Illumina sequencing and GeoChip functional gene arrays. The soil microbial community structure and diversity were significantly (P < 0.05)...

Data from: Specific leaf area predicts dryland litter decomposition via two mechanisms

Guofang Liu, Lei Wang, Li Jiang, Xu Pan, Zhenying Huang, Ming Dong & Johannes H. C. Cornelissen
1. Litter decomposition plays important roles in carbon and nutrient cycling. In dryland both microbial decomposition and abiotic degradation (by UV light or other forces) drive variation in decomposition rates, but whether and how litter traits and position determine the balance between these processes is poorly understood. 2. We investigated relationships between litter quality and their decomposition rates among diverse plant species in a desert ecosystem in vertically contrasting positions representing distinct decomposition environments driven...

Registration Year

  • 2017
    2

Resource Types

  • Dataset
    2

Affiliations

  • Chinese Academy of Sciences
    2
  • Chinese Academy of Forestry
    2
  • Minzu University of China
    1
  • VU University Amsterdam
    1
  • Central South University
    1
  • Hangzhou Normal University
    1
  • Xinjiang Institute of Ecology and Geography
    1
  • University of Oklahoma
    1
  • Research Center for Eco-Environmental Sciences
    1
  • University of Chinese Academy of Sciences
    1