In absence ofreliable models and prevailing data paucity expert judgments constitute a
valuable alternative for land degradation assessments. Yet, these qualitative
expert opinions are branded as subjective and non-reproducible as tests for
consistency are missing and qualitative classes remain difficult to interpret.
This communication summarizes formal procedures to test expert judgment for
consistency, reproducibility while correlation with quantitative data makes
qualitative judgments interpretable.
Devastating effectsof land degradation on natural resource quality, landscape heritages and
ecology have far reaching consequences for current and future human well-being.
The cry for action to curb the catastrophic effects of land degradation at
national scale, the level where most decisions on land use take place, seem,
therefore, justified. Yet, assessing degradation processes at larger scale is
not an easy task. Despite vast resources spent on development of degradation
models there are hitherto no reliable quantitative assessment methods available
to prioritize interventions at regional or national scale. The main reason is
the chaotic and highly unpredictable nature of the degradation process that is
influenced by many factors, some of which are poorly understood. Indeed absence
of dense and long term monitoring networks impede explanation of the
year-to-year variation of land degradation in its geographical dependence of natural
resources and land use. Instead land degradation assessments increasingly
resort on qualitative expert opinions that express the state of land
degradation in ordered qualitative classes information that is easy to collect and
inexpensive. Yet, principal criticism on uniformity, reproducibility and
interpretability permeate these assessments and this communication aims to
address these concerns and by introducing tests for consistency, formalizing
the relationship between expert judgments and explanatory variables and
quantifying boundaries of the qualitative assessments.
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