SCIENTIFIC CONCEPTS FOR AN INTEGRATED ANALYSIS OF DESERTIFICATION

被引:118
作者
Reynolds, J. F. [1 ]
Grainger, A. [2 ]
Smith, D. M. Stafford [3 ]
Bastin, G. [4 ]
Garcia-Barrios, L. [5 ]
Fernandez, R. J. [6 ]
Janssen, M. A. [7 ]
Juergens, N. [8 ]
Scholes, R. J. [9 ]
Veldkamp, A. [10 ]
Verstraete, M. M. [11 ]
Von Maltitz, G. [9 ]
Zdruli, P.
机构
[1] Duke Univ, Nicholas Sch Environm, Div Environm Sci & Policy, Dept Biol, Durham, NC 27708 USA
[2] Univ Leeds, Sch Geog, Leeds LS2 9JT, W Yorkshire, England
[3] CSIRO Climate Adaptat Flagship, Canberra, ACT 2602, Australia
[4] CSIRO Ecosyst Sci, Ctr Arid Zone Res, Alice Springs, NT 0870, Australia
[5] Colegio Frontera Sur, Dept Sistemas Prod Alternativos, San Cristobal Casas, Chiapas, Mexico
[6] Univ Buenos Aires, Fac Agron, CONICET, IFEVA, RA-1417 Buenos Aires, DF, Argentina
[7] Arizona State Univ, Sch Human Evolut & Social Change, Ctr Study Inst Divers, Tempe, AZ 85287 USA
[8] Univ Hamburg, BioCtr Klein Flottbek & Bot Garden, D-22609 Hamburg, Germany
[9] CSIR, Nat Resources & Environm, ZA-0001 Pretoria, South Africa
[10] Univ Twente, Fac ITC, NL-7500 AA Enschede, Netherlands
[11] DG Joint Res Ctr JRC, IES, European Commiss, Ispra, VA, Italy
关键词
Global Drylands Observing System; modelling degradation; desertification; UNCCD; Dryland Development Paradigm; slow variables; drylands; thresholds; integrated assessment; ecosystem services; LAND-COVER CHANGE; SOCIAL-ECOLOGICAL SYSTEMS; CLIMATE-CHANGE; MULTIAGENT SYSTEMS; SOUTHERN KALAHARI; EXTREME EVENTS; MINQIN COUNTY; COUPLED HUMAN; DEGRADATION; VEGETATION;
D O I
10.1002/ldr.1104
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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/informthe 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 (C) 2011 John Wiley & Sons, Ltd.
引用
收藏
页码:166 / 183
页数:18
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