Su et al. (2025) Predicting net primary productivity response to multiple extreme climate drivers in Inner Mongolia

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: Environmental Research Letters
• Year: 2025
• Date: 2025-12-16
• Authors: Rihan Su, En Liang Guo, Lan Wu, Yongfang Wang, Xiangqian Li, Peng Wang, Licong Dai, Zhongyi Sun
• DOI: 10.1088/1748-9326/ae2d78

Research Groups

[Information not available in the provided abstract.]

Short Summary

This study simulated historical (1982–2020) and projected future (2023–2100) net primary productivity (NPP) in Inner Mongolia under extreme climate events, identifying key climate factors and vulnerable regions.

Objective

• To simulate historical and project future net primary productivity (NPP) variations in Inner Mongolia under combined extreme climate stressors, and identify key extreme climate factors influencing NPP.

Study Configuration

• Spatial Scale: Regional (Inner Mongolia, China)
• Temporal Scale: Historical: 1982–2020 (39 years); Future projection: 2023–2100 (78 years)

Methodology and Data

• Models used:
  • Carnegie–Ames–Stanford model (CASA model) for historical NPP simulation.
  • Geographical detector method (GDM) for identifying key extreme climate factors.
  • Partial least squares regression for projecting future NPP variations.
• Data sources:
  • Extreme climate factors (specific sources not detailed in abstract).
  • Climate scenarios: Shared Socioeconomic Pathways (SSP2-4.5 and SSP5-8.5).

Main Results

• During 1982–2020, 72.3% of Inner Mongolia experienced increasing NPP, with 28.2% showing significant increases, predominantly in northeastern and eastern regions.
• Key extreme climate factors contributing to NPP changes were identified as: consecutive wet days (explanatory power: 0.903), heavy precipitation days (0.781), cold nights (0.704), and maximum temperature (0.630).
• Future projections under SSP2-4.5 and SSP5-8.5 scenarios indicate NPP increases in southern Inner Mongolia, while eastern and western regions are projected to experience significant decreases under combined extreme climate stressors.

Contributions

• Provides an assessment of future NPP responses to extreme climate events (ECEs) in Inner Mongolia, addressing a gap in understanding combined extreme climate stressors.
• Identifies specific vulnerable regions within Inner Mongolia that require targeted management strategies.
• Emphasizes the importance of integrating multiple extreme climate factors into vegetation prediction models for improved accuracy.

Funding

[Information not available in the provided abstract.]

Citation

@article{Su2025Predicting,
  author = {Su, Rihan and Guo, En Liang and Wu, Lan and Wang, Yongfang and Li, Xiangqian and Wang, Peng and Dai, Licong and Sun, Zhongyi},
  title = {Predicting net primary productivity response to multiple extreme climate drivers in Inner Mongolia},
  journal = {Environmental Research Letters},
  year = {2025},
  doi = {10.1088/1748-9326/ae2d78},
  url = {https://doi.org/10.1088/1748-9326/ae2d78}
}