[Spatiotemporal Evolution of Ecological Environment Quality and Ecological Management Zoning in Inner Mongolia Based on RSEI]

  • 0College of Forestry, Inner Mongolia Agricultural University, Hohhot 010019, China.

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Summary

This summary is machine-generated.

Inner Mongolia

Area Of Science

  • Ecological environmental quality assessment and sustainable development strategies.
  • Remote sensing applications in environmental monitoring and land management.
  • Spatio-temporal analysis of ecological indicators and driving factors.

Context

  • Inner Mongolia is a vital ecological security barrier for northern China.
  • Understanding ecological environment quality evolution is key for effective management.
  • Remote sensing data provides a powerful tool for large-scale environmental assessment.

Purpose

  • To analyze the spatial and temporal evolution of ecological environment quality in Inner Mongolia from 2000-2023.
  • To identify future trends and driving factors of ecological changes.
  • To propose ecological management zoning strategies based on human activity and environmental quality.

Summary

  • Ecological environment quality in Inner Mongolia, assessed using the Remote Sensing Ecological Index (RESI), was generally poor to average, improving after 2005. While overall quality is stable, western regions are more fragile. Future trends indicate potential improvement in the west.
  • Key drivers influencing RSEI include precipitation, soil type, and land use. Interactions among factors enhance the explanation of spatial variations.
  • Ecological management zoning identified coordination, reserve, and risk zones based on human activity intensity and environmental quality.

Impact

  • Provides a scientific basis for ecological protection and sustainable development in Inner Mongolia.
  • Highlights the importance of considering regional differences and human-environment interactions in ecological management.
  • Demonstrates the utility of integrated remote sensing and spatial analysis for environmental monitoring.

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