Towards a World Desertification Atlas. Relating and selecting indicators and datasets to represent complex issues

Mapping land degradation and desertification (LDD) at the global scale still is a conceptual and operational
challenge. The present study has been performed in the frame of the WAD (new World Atlas of
Desertification) initiative. The objective of the paper is to test a structured procedure to identify relevant
indicators for an effective representation of complex global LDD issues, based on available data
sets (both geo-spatial and statistical), and conform to the UNCCD (United Nations Convention to Combat
Desertification) requirements.
Available indicators and data sets were reviewed and the collected information was organized through
a database (DB). The proposed selection procedure is semi-quantitative and based on expert ranking
decisions made within the relational DB environment, which allows for transparent definition and iterative
refinement of the selection rules. The procedure was operationally tested on a concrete case study
(“deforestation in Sub-Saharan Africa”) by using available global data sets. Questions related to global
data availability and to major conceptual aspects such as the concept of “minimum indicator set”, the
indicator frameworks, the ranking and selection criteria are raised and discussed.