Scientific concepts for an integrated analysis of desertification

dc.contributor.author

Reynolds, JF

dc.contributor.author

Grainger, A

dc.contributor.author

Stafford Smith, DM

dc.contributor.author

Bastin, G

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Garcia-Barrios, L

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Fernández, RJ

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Janssen, MA

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Jürgens, N

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Scholes, RJ

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Veldkamp, A

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Verstraete, MM

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Von Maltitz, G

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Zdruli, P

dc.date.accessioned

2022-01-26T22:16:08Z

dc.date.available

2022-01-26T22:16:08Z

dc.date.issued

2011-03-01

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2022-01-26T22:16:07Z

dc.description.abstract

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. Copyright © 2011 John Wiley & Sons, Ltd.

dc.identifier.issn

1085-3278

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1099-145X

dc.identifier.uri

https://hdl.handle.net/10161/24237

dc.language

en

dc.publisher

Wiley

dc.relation.ispartof

Land Degradation and Development

dc.relation.isversionof

10.1002/ldr.1104

dc.subject

Science & Technology

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Life Sciences & Biomedicine

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Environmental Sciences

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Soil Science

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Environmental Sciences & Ecology

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Agriculture

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Global Drylands Observing System

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modelling degradation

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desertification

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UNCCD

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Dryland Development Paradigm

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slow variables

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drylands

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thresholds

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integrated assessment

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ecosystem services

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LAND-COVER CHANGE

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SOCIAL-ECOLOGICAL SYSTEMS

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CLIMATE-CHANGE

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MULTIAGENT SYSTEMS

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SOUTHERN KALAHARI

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EXTREME EVENTS

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MINQIN COUNTY

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COUPLED HUMAN

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DEGRADATION

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MANAGEMENT

dc.title

Scientific concepts for an integrated analysis of desertification

dc.type

Journal article

pubs.begin-page

166

pubs.end-page

183

pubs.issue

2

pubs.organisational-group

Duke

pubs.organisational-group

Nicholas School of the Environment

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Environmental Sciences and Policy

pubs.publication-status

Published

pubs.volume

22

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