Scientific concepts for an integrated analysis of desertification
The 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...
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| Formato: | Artículo |
| Lenguaje: | Inglés |
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| Acceso en línea: | http://ri.agro.uba.ar/files/intranet/articulo/2011Reynolds.pdf LINK AL EDITOR |
| Aporte de: | Registro referencial: Solicitar el recurso aquí |
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| 245 | 1 | 0 | |a Scientific concepts for an integrated analysis of desertification |
| 520 | |a The 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. | ||
| 653 | 0 | |a DESERTIFICATION | |
| 653 | 0 | |a DRYLAND DEVELOPMENT PARADIGM | |
| 653 | 0 | |a DRYLANDS | |
| 653 | 0 | |a ECOSYSTEM SERVICES | |
| 653 | 0 | |a GLOBAL DRYLANDS OBSERVING SYSTEM | |
| 653 | 0 | |a INTEGRATED ASSESSMENT | |
| 653 | 0 | |a MODELLING DEGRADATION | |
| 653 | 0 | |a SLOW VARIABLES | |
| 653 | 0 | |a THRESHOLDS | |
| 653 | 0 | |a UNCCD | |
| 653 | 0 | |a DRY LAND | |
| 653 | 0 | |a INTEGRATED ASSESSMENT | |
| 653 | 0 | |a CLIMATOLOGY | |
| 653 | 0 | |a DEGRADATION | |
| 653 | 0 | |a ECOSYSTEMS | |
| 653 | 0 | |a FORESTRY | |
| 653 | 0 | |a PLANNING | |
| 653 | 0 | |a RATING | |
| 653 | 0 | |a INTEGRATION | |
| 653 | 0 | |a BIOPHYSICS | |
| 653 | 0 | |a DRYLAND FARMING | |
| 653 | 0 | |a ECOSYSTEM SERVICE | |
| 653 | 0 | |a ENVIRONMENTAL ASSESSMENT | |
| 653 | 0 | |a ENVIRONMENTAL MANAGEMENT | |
| 653 | 0 | |a ENVIRONMENTAL MONITORING | |
| 653 | 0 | |a INTEGRATED APPROACH | |
| 653 | 0 | |a POLICY MAKING | |
| 700 | 1 | |a Reynolds, James F. |9 67902 | |
| 700 | 1 | |9 71917 |a Grainger, A. | |
| 700 | 1 | |a Stafford Smith, D. M. |9 16184 | |
| 700 | 1 | |a Bastin, G. |9 71918 | |
| 700 | 1 | |a Garcia Barrios, L. |9 71919 | |
| 700 | 1 | |9 6385 |a Fernández, Roberto Javier | |
| 700 | 1 | |a Janssen, M. A. |9 71920 | |
| 700 | 1 | |a Jürgens, N. |9 71921 | |
| 700 | 1 | |9 48278 |a Scholes, Robert J. | |
| 700 | 1 | |a Veldkamp, A. |9 71922 | |
| 700 | 1 | |a Verstraete, M. M. |9 71923 | |
| 700 | 1 | |a Maltitz, G. Von |9 71924 | |
| 700 | 1 | |a Zdruli, P. |9 71925 | |
| 773 | |t Land Degradation and Development |g Vol.22, no.2 (2011), p.166-183 | ||
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| 900 | |a ^tScientific concepts for an integrated analysis of desertification | ||
| 900 | |a ^aReynolds^bJ.F. | ||
| 900 | |a ^aGrainger^bA. | ||
| 900 | |a ^aStafford Smith^bD.M. | ||
| 900 | |a ^aBastin^bG. | ||
| 900 | |a ^aGarcia-Barrios^bL. | ||
| 900 | |a ^aFernández^bR.J. | ||
| 900 | |a ^aJanssen^bM.A. | ||
| 900 | |a ^aJürgens^bN. | ||
| 900 | |a ^aScholes^bR.J. | ||
| 900 | |a ^aVeldkamp^bA. | ||
| 900 | |a ^aVerstraete^bM.M. | ||
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| 900 | |a ^aStafford Smith^bD. M. | ||
| 900 | |a ^aBastin^bG. | ||
| 900 | |a ^aGarcia Barrios^bL. | ||
| 900 | |a ^aFernández^bR. J. | ||
| 900 | |a ^aJanssen^bM. A. | ||
| 900 | |a ^aJürgens^bN. | ||
| 900 | |a ^aScholes^bR. J. | ||
| 900 | |a ^aVeldkamp^bA. | ||
| 900 | |a ^aVerstraete^bM. M. | ||
| 900 | |a ^aVon Maltitz^bG. | ||
| 900 | |a ^aZdruli^bP. | ||
| 900 | |a ^aReynolds^bJ.F.^tDepartment of Biology, Nicholas School of the Environment, Duke University, Durham, NC 27708-0328, United States | ||
| 900 | |a ^aGrainger^bA.^tSchool of Geography, University of Leeds, Leeds LS2 9JT, United Kingdom | ||
| 900 | |a ^aStafford Smith^bD.M.^tCSIRO Climate Adaptation Flagship, Canberra, ACT 2602, Australia | ||
| 900 | |a ^aBastin^bG.^tCentre for Arid Zone Research, CSIRO Ecosystem Sciences, Alice Springs, NT 0870, Australia | ||
| 900 | |a ^aGarcia-Barrios^bL.^tDepartamento de Sistemas de Producción Alternativos, El Colegio de la Frontera Sur, San Cristóbal de las Casas, Chiapas, Mexico | ||
| 900 | |a ^aFernández^bR.J.^tIFEVA/CONICET, Facultad de AgronomÃa, Universidad de Buenos Aires, C1417DSE, Buenos Aires, Argentina | ||
| 900 | |a ^aJanssen^bM.A.^tSchool of Human Evolution and Social Change, Centre for the Study of Institutional Diversity, Arizona State University, Tempe, AZ 85287-2402, United States | ||
| 900 | |a ^aJürgens^bN.^tBioCentre Klein Flottbek and Botanical Garden, University of Hamburg, Ohnhorststr. 18, 22609 Hamburg, Germany | ||
| 900 | |a ^aScholes^bR.J.^tNatural Resources and the Environment [NRE], CSIR, Meiring Naudé Road, Brummeria, Pretoria, South Africa | ||
| 900 | |a ^aVeldkamp^bA.^tUniversity of Twente, Faculty ITC, 7500 AA Enschede, Netherlands | ||
| 900 | |a ^aVerstraete^bM.M.^tEuropean Commission, DG Joint Research Centre [JRC], Institute for Environment and Sustainability [IES], Ispra [VA], Italy | ||
| 900 | |a ^aVon Maltitz^bG.^tCIHEAM - Mediterranean Agronomic Institute of Bari, Via Ceglie 9, 70010 Valenzano [BA], Italy | ||
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| 900 | |a ^tLand Degradation and Development^cLand Degrad. Dev. | ||
| 900 | |a en | ||
| 900 | |a 166 | ||
| 900 | |a ^i | ||
| 900 | |a Vol. 22, no. 2 | ||
| 900 | |a 183 | ||
| 900 | |a DESERTIFICATION | ||
| 900 | |a DRYLAND DEVELOPMENT PARADIGM | ||
| 900 | |a DRYLANDS | ||
| 900 | |a ECOSYSTEM SERVICES | ||
| 900 | |a GLOBAL DRYLANDS OBSERVING SYSTEM | ||
| 900 | |a INTEGRATED ASSESSMENT | ||
| 900 | |a MODELLING DEGRADATION | ||
| 900 | |a SLOW VARIABLES | ||
| 900 | |a THRESHOLDS | ||
| 900 | |a UNCCD | ||
| 900 | |a DRY LAND | ||
| 900 | |a INTEGRATED ASSESSMENT | ||
| 900 | |a CLIMATOLOGY | ||
| 900 | |a DEGRADATION | ||
| 900 | |a ECOSYSTEMS | ||
| 900 | |a FORESTRY | ||
| 900 | |a PLANNING | ||
| 900 | |a RATING | ||
| 900 | |a INTEGRATION | ||
| 900 | |a BIOPHYSICS | ||
| 900 | |a DRYLAND FARMING | ||
| 900 | |a ECOSYSTEM SERVICE | ||
| 900 | |a ENVIRONMENTAL ASSESSMENT | ||
| 900 | |a ENVIRONMENTAL MANAGEMENT | ||
| 900 | |a ENVIRONMENTAL MONITORING | ||
| 900 | |a INTEGRATED APPROACH | ||
| 900 | |a POLICY MAKING | ||
| 900 | |a The 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. | ||
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