XNXiuya Ni

Xiuya Ni

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


Xiuya Ni has a total of 4 co-authors. Here are the top co-authors by number of shared publications:

  • Bo Lin

    Sichuan Forestry and Grassland Survey and Planning Institute, Chengdu 610081, China

    1 shared publication
  • Jing Chen

    Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing 100091, China

    1 shared publication
  • Yongxia Feng

    Forestry and Grassland Bureau of Aksu Region, Aksu 843000, China

    1 shared publication
  • Zhan Chen

    Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing 100091, China

    1 shared publication

Latest Publications

  • Open Access

    Implications of Litterfall Dynamics and Stoichiometry for Nutrient Cycling in Subtropical Acid Rain Regions

    by Bo Lin, Yongxia Feng, Xiuya Ni, Jing Chen, Zhan Chen

    Selecting appropriate tree species is crucial for mitigating soil acidification and restoring biogeochemical cycles in subtropical acid rain regions. The objective of this study was to elucidate the influence of species selection on litter nutrient dynamics and its implications for soil carbon (C) and nitrogen (N) cycling. To achieve this, three forest types were examined at the Tieshanping Forest Farm (Chongqing, China). Twelve plots were established, including pure stands of Pinus massoniana Lamb. or Cinnamomum camphora (Linn) Presl, and mixed stands of these species. Litterfall was collected monthly (December 2020–November 2021) to determine pH, C, N, phosphorus, potassium, lignin, and cellulose contents, alongside potential nutrient returns and stoichiometric ratios. Results indicated that while total annual litterfall production did not differ significantly among the forest types, their seasonal dynamics varied distinctly, with C. camphora and P. massoniana peaking in spring and summer, respectively. Furthermore, C. camphora stands exhibited significantly higher annual P and K returns. Conversely, P. massoniana litter was characterized by the highest C:P ratio and mean annual lignin content (344.78 mg g−1), indicating lower decomposability that may restrict organic C turnover and N release. Consequently, the nutrient-rich and readily decomposable litter of C. camphora is more effective than P. massoniana at alleviating soil acidification and facilitating healthier C and N cycling. These findings highlight the critical role of aboveground litter quality in driving belowground soil C and N dynamics, providing a vital scientific basis for species selection during ecological restoration in acid rain-affected areas.