Climate information needs of Gascoyne-Murchison pastoralists: a representative study of the Western Australian grazing industry

Article

Keogh, D. U., Watson, I. W., Bell, K. L., Cobon, D. H. and Dutta, S. C.. 2005. "Climate information needs of Gascoyne-Murchison pastoralists: a representative study of the Western Australian grazing industry." Animal Production Science. 45 (12), pp. 1613-1625. https://doi.org/10.1071/EA04275
Article Title

Climate information needs of Gascoyne-Murchison pastoralists: a representative study of the Western Australian grazing industry

ERA Journal ID5178
Article CategoryArticle
AuthorsKeogh, D. U. (Author), Watson, I. W. (Author), Bell, K. L. (Author), Cobon, D. H. (Author) and Dutta, S. C. (Author)
Journal TitleAnimal Production Science
Journal Citation45 (12), pp. 1613-1625
Number of Pages3
Year2005
PublisherCSIRO Publishing
Place of PublicationMelbourne, Australia
ISSN0816-1089
1836-0939
1836-5787
Digital Object Identifier (DOI)https://doi.org/10.1071/EA04275
Web Address (URL)http://www.publish.csiro.au/?paper=EA04275
Abstract

The Gascoyne-Murchison Strategy region of Western Australia is dominated by an arid to semi-arid climate and the total area available for pastoral lease is around 39.2 million hectares. The region supports predominantly cattle and sheep grazing leases and its average rainfall is 200-250mm. A number of climate forecasting systems have been available in recent years; based on varying degrees of rigour, lengths of record, lead time and period of forecast. But the extent to which these systems are capable of fulfilling the requirements of the local pastoralists is still ambiguous. A climate research project sought to provide an objective method for determining which available forecasting systems had the most skill at times of the year relevant to property management. It is for this project we conducted a survey amongst the pastoralists in the region using a mailed questionnaire to explore their climate forecasting information needs for property decision-making. We also explored their understanding of technical terms commonly used in forecasts, and how they interpret forecast information and use forecasts in their decision-making process. Stratified, proportional random sampling was used to derive the population and results are representative in terms of the percent of annual rainfall received during May-October at each property's nearest Bureau of Meteorology rainfall station.

We found more than half the respondents regularly access and use weather and climate forecasts or outlook information from a range of sources and almost three-quarters considered climate information or tools would be useful. Despite differences in enterprise types and rainfall seasonality across the region seasonal climate forecasting needs were found to be relatively consistent. Forecasts of between 20-50mm opening or follow-up rainfall are likely to influence decisions and forecasts with greater than 60% probability of occurrence. Test questions revealed the majority have a poor technical understanding of the terms mean, median and probability. Preferred methods for accessing climate information included email, faxback, internet and the Department of Agriculture Western Australia's Pastoral Memo. It became clear that providing basic training to help pastoralists understand regional climatic drivers, climate terminology and jargon, and the best ways to apply the forecasts to enhance decision-making are important to improve pastoralists’ use of the information. There is also a strong requirement on the part of the scientific community to articulate technical information in simple, easy to interpret language, particularly in the case of probabilistic-based forecast information.

Keywordsgraziers; needs analysis; ranchers; seasonal climate forecasting systems
ANZSRC Field of Research 2020370108. Meteorology
300208. Farm management, rural management and agribusiness
370202. Climatology
Public Notes

© CSIRO 2005. Permanent restricted access to published version due to publisher copyright policy.

Byline AffiliationsDepartment of Natural Resources and Mines, Queensland
Department of Agriculture, Western Australia
Department of Primary Industries and Fisheries, Queensland
Institution of OriginUniversity of Southern Queensland
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Apan, Armando, Keogh, Diane, King, David, Thomas, Melanie, Mushtaq, Shahbaz and Baddiley, Peter. 2010. The 2008 floods in Queensland: a case study of vulnerability, resilience and adaptive capacity. Gold Coast, Australia. National Climate Change Adaptation Research Facility (NCCARF).
Developing ENSO-based irrigation water forecast system in a region with limited hydro-meteorological observations to mitigate the impacts of climate variability: a case study in Lombok, Indonesia
Zhang, X., Abawi, Yahya, Dutta, Sunil and McClymont, David. 2010. "Developing ENSO-based irrigation water forecast system in a region with limited hydro-meteorological observations to mitigate the impacts of climate variability: a case study in Lombok, Indonesia." Climate Adaptation Futures: Preparing for the Unavoidable Impacts of Climate Change (2010). Gold Coast, Australia 29 Jun - 01 Jul 2010 Brisbane, Australia.
Resilience, vulnerability and adaptive capacity of an inland rural town prone to flooding: a climate change adaptation case study of Charleville, Queensland, Australia
Keogh, D., Apan, A. and Mushtaq, S.. 2010. "Resilience, vulnerability and adaptive capacity of an inland rural town prone to flooding: a climate change adaptation case study of Charleville, Queensland, Australia." Climate Adaptation Futures: Preparing for the Unavoidable Impacts of Climate Change (2010). Gold Coast, Australia 29 Jun - 01 Jul 2010 Brisbane, Australia.
Climate Change Impacts on the Sediment Load for the Nogoa Catchment of the Fitzroy Basin
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Climate Change Impacts on the Water Resources of the Cooper Creek Catchment
Cobon, D. H. and Toombs, N. R.. 2007. "Climate Change Impacts on the Water Resources of the Cooper Creek Catchment." 17th International Congress on Modelling and Simulation (MODSIM07). Christchurch, New Zealand 10 - 13 Dec 2007 New Zealand. Modelling and Simulation Society of Australia and New Zealand .