Using global datasets to create environmental profiles for data-poor regions: a case from the Irrawaddy and Salween...

Area of Science:

• Environmental Science
• Geospatial Analysis
• Hydrology

Background:

• Increasing availability of spatial data enables study of under-explored regions.
• Irrawaddy and Salween River Basins are regionally and nationally important areas in Southeast Asia.

Purpose of the Study:

• To create environmental basin profiles for the Irrawaddy and Salween River Basins using global datasets.
• To assess freshwater vulnerability by selecting relevant indicators.
• To explore the potential of macro-scale datasets for environmental assessment.

Main Methods:

• Utilized global datasets on land use, population distribution, and fertilizer load.
• Applied concepts from freshwater vulnerability assessments to guide indicator selection.
• Employed a spatial approach with bio-geographical units, including delta areas, for analysis.

Main Results:

• Identified intensive land use and high population density at the river mouths of both basins.
• Highlighted the ecological importance and sensitivity of river mouth ecosystems.
• Provided a spatially distributed overview of environmental basin profiles for the studied rivers.

Conclusions:

• Macro-scale datasets offer potential for environmental assessment, especially in data-poor areas for comparative analyses.
• Data availability and quality can drive assessment processes, sometimes overshadowing research needs.
• Spatial analysis facilitates data integration and provides a powerful overview of environmental conditions.