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Simulation, Fabrication and Characterization of THz Metamaterial Absorbers
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How good is GLASOD?

B G J S Sonneveld1, D L Dent

  • 1Centre for World Food Studies of the Vrije Universiteit (SOW-VU), Vrije Universiteit, De Boelelaan 1105, 1081 HV Amsterdam, The Netherlands. b.g.j.s.sonneveld@sow.vu.nl

Journal of Environmental Management
|December 19, 2007
PubMed
Summary

The Global Assessment of Soil Degradation (GLASOD) shows moderate consistency and poor reproducibility in Africa. Land degradation is linked to malnutrition, but its relationship with crop production is complex.

Area of Science:

  • Environmental Science
  • Soil Science
  • Geographic Information Systems (GIS)

Background:

  • The Global Assessment of Soil Degradation (GLASOD) is influential but lacks tested consistency and reproducibility.
  • The link between GLASOD's land degradation assessments and socio-economic impacts is unclear.
  • Existing alternative global environmental quality assessment methods are not fully operational.

Purpose of the Study:

  • Evaluate the reliability and social relevance of the GLASOD approach.
  • Assess GLASOD's suitability for future global environmental assessments.
  • Focus on the African continent using new GIS data.

Main Methods:

  • Tested consistency by comparing expert judgments on soil degradation for similar biophysical conditions and land uses.

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  • Evaluated reproducibility using an ordered logit model linking degradation classes to explanatory variables.
  • Analyzed the relationship between GLASOD assessments, crop production, and malnutrition prevalence using cross-sectional analysis.
  • Main Results:

    • GLASOD assessments demonstrated only moderate consistency and were hardly reproducible.
    • A complex, counter-intuitive relationship was found between land degradation and crop production.
    • Increased malnutrition prevalence correlated with poor agro-productive conditions and highly degraded land.

    Conclusions:

    • The GLASOD approach requires improvement by clarifying expert conceptualizations and aligning class boundaries with quantitative data.
    • GLASOD's reliability and reproducibility challenges limit its use for robust global environmental assessments.
    • The study highlights the critical link between land degradation, agricultural productivity, and human well-being in Africa.