Spatial data infrastructure convergence: building spatial data infrastructure bridges to address climate change

Paudyal, Dev Raj and McDougall, Kevin and Apan, Armando (2011) Spatial data infrastructure convergence: building spatial data infrastructure bridges to address climate change. In: Geoinformatics for climate change studies. Teri Press, New Delhi, India, pp. 377-392. ISBN 978-81-7993-409-8

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Abstract

Climate change is the greatest social, economic, and environmental challenge of the present time. Researchers working in the field of climate science argue that the issues of regional climate change are as complicated as global issues. Many climate models have been developed to monitor climate change and its future impact. Spatial information is especially important for climate models as it offers a great capacity in both spatial and temporal dimensions to project climate change. Furthermore, a collaborative input from a wide range of stakeholders is needed for mitigation of and adaptation to climate change issues. Hence, the development of SDI offers great potential to study climate change at regional level. The catchment-based approach is already proved to be an effective management approach for natural resources management, including land and water. This management approach is implemented through the creation of partnerships between different levels of government, community groups, industry groups, and academia. The current SDI development migrated from the initial top-down national approach to bottom-up sub-national and cross-jurisdictional approach. Now the concept of a more inclusive model of SDI governance is emerging, wherein grass-root level citizens and community members can participate for environmental decisions and their sustainability. The catchment SDI offers a great opportunity to build new institutional arrangements and governance models for better catchment management outcomes. The five components of SDI enable practitioners to understand the complex issues regarding catchment management and regional climate change, and develop SDI at regional scale. This integrated catchment SDI model can assist in the development of a framework to integrate multi-source spatial data sets to respond to the many climate change issues.


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Item Type: Book Chapter (Commonwealth Reporting Category B)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to published version due to publisher copyright policy. Print copy held in the USQ Library 577.22 Geo.
Depositing User: Mr Dev Raj Paudyal
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Surveying and Land Information
Date Deposited: 13 Jul 2011 04:17
Last Modified: 01 Dec 2014 05:09
Uncontrolled Keywords: catchment management; spatial data infrastructure; climate change; catchment SDI
Fields of Research (FOR2008): 04 Earth Sciences > 0401 Atmospheric Sciences > 040104 Climate Change Processes
09 Engineering > 0909 Geomatic Engineering > 090903 Geospatial Information Systems
08 Information and Computing Sciences > 0806 Information Systems > 080609 Information Systems Management
Socio-Economic Objective (SEO2008): D Environment > 96 Environment > 9603 Climate and Climate Change > 960302 Climate Change Mitigation Strategies
D Environment > 96 Environment > 9609 Land and Water Management > 960999 Land and Water Management of Environments not elsewhere classified
URI: http://eprints.usq.edu.au/id/eprint/18751

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