Integrative Biology Journals

JOURNAL OF FORESTRY RESEARCH ›› 2026, Vol. 37 ›› Issue (1): 1-.DOI: 10.1007/s11676-025-01956-2

• Original Paper •    

Effect of environmental factors on soil quality across various land‑use types in the water‑wind erosion crisscross region of China’s Loess Plateau

Zhiyong Zhang1, Guangquan Liu2, Fangfang Qiang1, Changhai Liu1, Ning Ai1   

  1. 1Key Laboratory of Applied Ecology of Loess Plateau, College of Life Science, Yan’an University, Yan’an 716000, People’s Republic of China China 

    2Institute of Water Resources and Hydropower Research, Beijing 100038, People’s Republic of China

  • Received:2025-04-16 Accepted:2025-07-28 Online:2025-11-25 Published:2026-01-01
  • Supported by:
    This study was supported by the Inner Mongolia Autonomous Region Unveils List and Leads Key Special Projects (2024JBGS0016), the National Key Research and Development Plan of China (2023YFF1305104), the Shaanxi Natural Science Basic Research Project (2025JC-YBMS-204), Shaanxi Fundamental Science Research Project for Chemistry & Biology (22JHQ047); and the Research Project of Yan’an University (2021ZCQ009, 2023JBZR-20).

Abstract: Interactions between land-use and environmental drivers of soil quality in fragile ecosystems remain insufficiently quantified. The impact of land-use types and environmental factors on soil quality in the Loess Plateau was assessed here using a minimum data-set-based soil quality index. Data were collected from 99 plots across mixed forests, forests, shrublands, and grasslands. Principal component analysis was applied to construct the minimum data set with bulk density, capillary water-holding capacity, soil organic carbon, natural moisture content, and total phosphorus as core evaluation indicators. Using an obstacle factor diagnostic model and partial least squares path modeling, we identified soil moisture as the primary limiting factor. Grassland soil quality was lowest in Wangwazi (0.42), Changcheng (0.47), and Shenmu (0.21), but shrubland and grassland soil quality was highest in Hengshan (0.30, 0.27) and Yuyang (0.42, 0.53) (P < 0.05). These results provide guidance for sustainable land management in ecologically fragile regions.

Key words: Soil quality index, Land use types, Minimum data set, Soil constraints, Water-wind erosion crisscross region