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PREFACE

Preface: Climate Predictions for Better Agricultural Risk Management

Holger Meinke A B , M. V. K. Sivakumar C , Raymond P. Motha D and Rohan Nelson E
+ Author Affiliations
- Author Affiliations

A Crop and Weed Ecology, Department of Plant Sciences, Wageningen University, PO Box 430, 6700 AK Wageningen, The Netherlands.

B formerly: Queensland Department of Primary Industries, PO Box 102, Toowoomba, Qld 4350, Australia.

C World Meteorological Organization, 7bis Avenue de la Paix, 1211 Geneva 2, Switzerland.

D U.S. Department of Agriculture, World Agricultural Outlook Board, 1400 Independence Avenue, S.W., Room 4441 South Building, Washington, D.C. 20250, USA.

E CSIRO Wealth from Oceans Flagship, GPO Box 284, Canberra, ACT 2601, Australia.

Australian Journal of Agricultural Research 58(10) 935-938 https://doi.org/10.1071/ARv58n10_PR
Published: 30 October 2007


References


Ash A, McIntosh P, Cullen B, Carberry P, Stafford Smith M (2007) Constraints and opportunities in applying seasonal climate forecasts in agriculture. Australian Journal of Agricultural Research 58, 952–965. (last accessed 05/10/2007).

Garbrecht J, Meinke H, Sivakumar MVK, Motha RP, Salinger MJ (2005) Seasonal climate forecasts and adoption by agriculture. EOS, Transactions, American Geophysical Union 86, 227.
Crossref | GoogleScholarGoogle Scholar | (last accessed 05/10/2007).

Motha RP (2007) Implications of climate change on long-lead forecasting and global agriculture. Australian Journal of Agricultural Research 58, 939–944. open url image1

Nelson R, Kokic P, Meinke H (2007) From rainfall to farm incomes – transforming advice for Australian drought policy. II. Forecasting farm incomes. Australian Journal of Agricultural Research 58, 1004–1012. open url image1

Power SB, Plummer N, Alford P (2007) Making climate model forecasts more useful. Australian Journal of Agricultural Research 58, 945–951. open url image1









1Note that the acronym ‘SCF(s)’ is used here for ‘seasonal climate forecast(s)’ as well as for ‘seasonal climate forecasting’.