Chin J Plant Ecol ›› 2025, Vol. 49 ›› Issue (1): 42-58.DOI: 10.17521/cjpe.2024.0152  cstr: 32100.14.cjpe.2024.0152

• Research Articles • Previous Articles     Next Articles

Identification of key factors and construction of a rapid diagnostic indicator system for evaluation of grassland degradation in Hulun Buir meadow grasslands

XU Meng-Zhen1,2, LU Zheng-Kuan1,2, TAN Xing-Ru1,2, WANG Yan-Bing1,2, SU Tian-Cheng1,2, DOU Shan-De1,3, PAN Qing-Min1,2, CHEN Shi-Ping1,2,*()()   

  1. 1State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, China National Botanical Garden, Beijing 100093, China
    2University of Chinese Academy of Sciences, Beijing 100049, China
    3National Field Research Station of Xilin Gol Grassland Ecosystem, Xilin Gol, Nei Mongol 026000, China
  • Received:2024-05-13 Accepted:2024-12-10 Online:2025-01-20 Published:2025-03-08
  • Contact: CHEN Shi-Ping
  • Supported by:
    Strategic Priority Research Program of the Chinese Academy of Sciences(XDA26020101);National Natural Science Foundation of China(U22A20559);National Natural Science Foundation of China(32071565)

Abstract:

Aims China harbors extensive grassland resources, yet nearly 70% of these grasslands are afflicted by varying degrees of degradation under the combined pressure of climate change and human activities. Pinpointing the pivotal factors driving grassland degradation and establishing a rapid diagnostic system is imperative for precise condition assessments.

Methods This study was conducted in the Hulun Buir meadow steppe of Nei Mongol. The selected sites were categorized into four degradation levels: non-degraded, lightly degraded, moderately degraded, and heavily degraded. Vegetation and soil indicators were collected. Leveraging the random forests algorithm, degradation indicators were screened and weighted, with efforts made to reconcile ecosystem service priorities between the government and pastoralists.

Important findings This study identified ten key factors characterizing degradation, including aboveground biomass, proportion of high-quality forage, community height, litter biomass, species richness, leaf dry matter content, leaf thickness, soil density, soil water content and soil inorganic water content. These indicators encapsulate diverse ecosystem services, including forage supply, erosion control, biodiversity conservation, vegetation resilience, and water and nutrient regulation. Using non-degraded sites as a benchmark, a degradation index (DI) for the meadow steppes of Nei Mongol was developed, accompanied by delineated DI thresholds for different degradation levels. This study provides foundational data to support judicious selection of indicators for both national and regional standards.

Key words: grassland degradation, ecosystem services, random forests algorithm, degradation indicator