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Interpretive review of conceptual frameworks and research models that inform Australia’s agricultural vulnerability to climate change

Citation

Pearson, LJ and Nelson, R and Crimp, S and Langridge, J, Interpretive review of conceptual frameworks and research models that inform Australia's agricultural vulnerability to climate change, Environmental Modelling and Software, 26, (2) pp. 113-123. ISSN 1364-8152 (2011) [Refereed Article]

Copyright Statement

Copyright 2010 Crown Copyright

DOI: doi:10.1016/j.envsoft.2010.07.001

Abstract

Agriculture in Australia is highly vulnerable to climate change. Understanding the sector’s vulnerability is critical to developing immediate policy for the future of the agricultural industries and their communities. This review aims to identify research priorities (frameworks and models) for assessing vulnerability of the Australian agriculture sector to climate change. It achieves this through three objectives: (i) review frameworks for conceptualising vulnerability in agriculture; (ii) document operational models that may contribute to the immediate analysis of vulnerability in Australian agriculture; and (iii) identify gaps in frameworks and models capacity for analysing the vulnerability of Australian agriculture to climate change. These were achieved by undertaking a literature review and organising a workshop of Australian agricultural climate change modelling experts. Current understanding of agricultural vulnerability uses the outcome vulnerability conceptual framework, it is linear and dependant on the biophysical models which have been developed. Three priorities for biophysical modelling research were identified: expansion to cover all major agricultural industries; address spatial gaps (e.g. south-west Australia); and develop scenarios for shifting between landuses. However, there is little known on the contextual vulnerability of the Australian agricultural sector, therefore strategic investment into contextual vulnerability frameworks is necessary, i.e. open systems, multiple exogenous impacts, use qualitative methods, and generate spatially specific outcomes.

Item Details

Item Type:Refereed Article
Research Division:Agricultural and Veterinary Sciences
Research Group:Agriculture, Land and Farm Management
Research Field:Agricultural Land Management
Objective Division:Environment
Objective Group:Climate and Climate Change
Objective Field:Climate Change Adaptation Measures
Author:Nelson, R (Associate Professor Rohan Nelson)
ID Code:94485
Year Published:2011
Web of Science® Times Cited:15
Deposited By:TIA - Research Institute
Deposited On:2014-09-10
Last Modified:2014-10-09
Downloads:0

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