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Application of indicator systems for monitoring and assessment of desertification from national to global scales

Stefan SommerInstitute for Environment and Sustainability (IES), Joint Research Centre, European Commission, I-21027 Ispra (VA), ItalyClaudio ZuccaNucleo Ricerca Desertificazione, University of Sassari, 07100, Sasari, ItalyAlan GraingerSchool of Geography, University of Leeds, Leeds LS2 9JT, UKMichael CherletInstitute for Environment and Sustainability (IES), Joint Research Centre, European Commission, I-21027 Ispra (VA), ItalyRobert B. ZougmoréObservatoire du Sahara et du Sahel, BP 31, 1080 Tunis, TunisiaYouba SokonaObservatoire du Sahara et du Sahel, BP 31, 1080 Tunis, TunisiaJoachim HillRemote Sensing Department, Faculty of Geography, University of Trier, D-54286 Trier, GermanyRaniero Della PerutaNucleo Ricerca Desertificazione, University of Sassari, 07100, Sasari, ItalyJ. RoehrigInstitute for Social-Ecological Research (ISOE), D-60486 Frankfurt, GermanyG. WangChina National Institute of Forest Inventory and Planning, State Forestry Administration, 100714 Beijing, P. R. China
2011en
ABI

Аннотация

Abstract This paper suggests how the United Nations Convention to Combat Desertification (UNCCD) community can progressively make use of a flexible framework of analytical approaches that have been recently developed by scientific research. This allows a standardized but flexible use of indicator sets adapted to specific objectives or desertification issues relevant for implementing the Convention. Science has made progress in understanding major issues and proximate causes of dryland degradation such that indicator sets can be accordingly selected from the wealth of existing and documented indicator systems. The selection and combination should be guided according to transparent criteria given by existing indicator frameworks adapted to desertification conceptual frameworks such as the Dryland Development Paradigm and can act as a pragmatic entry point for selecting area‐ and theme‐specific sets of indicators from existing databases. Working on different dryland sub‐types through a meaningful stratification is proposed to delimit and characterize affected areas beyond the national level. Such stratification could be achieved by combining existing land use information with additional biophysical and socio‐economic data sets, allowing indicator‐based monitoring and assessment to be embedded in a framework of specific dryland degradation issues and their impacts on key ecosystem services. Copyright © 2011 John Wiley & Sons, Ltd.

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