dc.creatorReynolds, J. F.
dc.creatorGrainger, A.
dc.creatorStafford Smith, D. M.
dc.creatorBastin, G.
dc.creatorGarcia Barrios, L.
dc.creatorFernandez Alduncin, Roberto Javier
dc.creatorJanssen, M. A.
dc.creatorJürgens, N.
dc.creatorScholes, R. J.
dc.creatorVeldkamp, A.
dc.creatorVerstraete, M. M.
dc.creatorVon Maltitz, G.
dc.creatorZdruli, P.
dc.date.accessioned2019-03-26T19:42:13Z
dc.date.accessioned2022-10-15T05:59:07Z
dc.date.available2019-03-26T19:42:13Z
dc.date.available2022-10-15T05:59:07Z
dc.date.created2019-03-26T19:42:13Z
dc.date.issued2011-03
dc.identifierReynolds, J. F.; Grainger, A.; Stafford Smith, D. M.; Bastin, G.; Garcia Barrios, L.; et al.; Scientific concepts for an integrated analysis of desertification; John Wiley & Sons Ltd; Land Degradation & Development; 22; 2; 3-2011; 166-183
dc.identifier1085-3278
dc.identifierhttp://hdl.handle.net/11336/72569
dc.identifierCONICET Digital
dc.identifierCONICET
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4352626
dc.description.abstractThe Global Drylands Observing System proposed in this issue should reduce the huge uncertainty about the extent of desertification and the rate at which it is changing, and provide valuable information to scientists, planners and policy-makers. However, it needs careful design if information outputs are to be scientifically credible and salient to the needs of people living in dry areas. Its design would benefit from a robust, integrated scientific framework like the Dryland Development Paradigm to guide/inform the development of an integrated global monitoring and assessment programme (both directly and indirectly via the use of modelling). Various types of dryland system models (e.g. environmental, socioeconomic, land-use cover change, and agent-based) could provide insights into how to combine the plethora of monitoring information gathered on key socioeconomic and biophysical indicators to develop integrated assessment models. This paper shows how insights from models can help in selecting and integrating indicators, interpreting synthetic trends, incorporating cross-scalar processes, representing spatio-temporal variation, and evaluating uncertainty. Planners could use this integrated global monitoring and assessment programme to help implement effective policies to address the global problem of desertification. Copyright © 2011 John Wiley & Sons, Ltd.
dc.languageeng
dc.publisherJohn Wiley & Sons Ltd
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1002/ldr.1104
dc.relationinfo:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1002/ldr.1104
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectDESERTIFICATION
dc.subjectDRYLAND DEVELOPMENT PARADIGM
dc.subjectDRYLANDS
dc.subjectECOSYSTEM SERVICES
dc.subjectGLOBAL DRYLANDS OBSERVING SYSTEM
dc.subjectINTEGRATED ASSESSMENT
dc.subjectMODELLING DEGRADATION
dc.subjectSLOW VARIABLES
dc.subjectTHRESHOLDS
dc.subjectUNCCD
dc.titleScientific concepts for an integrated analysis of desertification
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:ar-repo/semantics/artículo
dc.typeinfo:eu-repo/semantics/publishedVersion


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