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Increasing dominance of Indian Ocean variability impacts Australian wheat yields.
Feng, Puyu; Wang, Bin; Macadam, Ian; Taschetto, Andréa S; Abram, Nerilie J; Luo, Jing-Jia; King, Andrew D; Chen, Yong; Li, Yi; Liu, De Li; Yu, Qiang; Hu, Kelin.
Afiliación
  • Feng P; College of Land Science and Technology, China Agricultural University, Key Laboratory of Arable Land Conservation (North China), Ministry of Agriculture, Beijing, PR China. fengpuyu@cau.edu.cn.
  • Wang B; NSW Department of Primary Industries, Wagga Wagga Agricultural Institute, Wagga Wagga, New South Wales, Australia. bin.a.wang@dpi.nsw.gov.au.
  • Macadam I; ARC Centre of Excellence for Climate Extremes, University of New South Wales, Sydney, New South Wales, Australia.
  • Taschetto AS; Climate Change Research Centre (CCRC), University of New South Wales, Sydney, New South Wales, Australia.
  • Abram NJ; ARC Centre of Excellence for Climate Extremes, University of New South Wales, Sydney, New South Wales, Australia.
  • Luo JJ; Climate Change Research Centre (CCRC), University of New South Wales, Sydney, New South Wales, Australia.
  • King AD; Research School of Earth Sciences, Australian National University, Canberra, Australian Capital Territory, Australia.
  • Chen Y; ARC Centre of Excellence for Climate Extremes, Australian National University, Canberra, Australian Capital Territory, Australia.
  • Li Y; Institute for Climate and Application Research (ICAR)/CICFEMD/KLME/ILCEC, Nanjing University of Information Science and Technology, Nanjing, PR China.
  • Liu L; School of Geography, Earth, and Atmospheric Sciences, University of Melbourne, Melbourne, Victoria, Australia.
  • Yu Q; ARC Centre of Excellence for Climate Extremes, University of Melbourne, Melbourne, Victoria, Australia.
  • Hu K; College of Land Science and Technology, China Agricultural University, Key Laboratory of Arable Land Conservation (North China), Ministry of Agriculture, Beijing, PR China.
Nat Food ; 3(10): 862-870, 2022 10.
Article en En | MEDLINE | ID: mdl-37117884
ABSTRACT
The relationships between crop productivity and climate variability drivers are often assumed to be stationary over time. However, this may not be true in a warming climate. Here we use a crop model and a machine learning algorithm to demonstrate the changing impacts of climate drivers on wheat productivity in Australia. We find that, from the end of the nineteenth century to the 1980s, wheat productivity was mainly subject to the impacts of the El Niño Southern Oscillation. Since the 1990s, the impacts from the El Niño Southern Oscillation have been decreasing, but those from the Indian Ocean Dipole have been increasing. The warming climate has brought more occurrences of positive Indian Ocean Dipole events, resulting in severe yield reductions in recent decades. Our findings highlight the need to adapt seasonal forecasting to the changing impacts of climate variability to inform the management of climate-induced yield losses.

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Nat Food Año: 2022 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Nat Food Año: 2022 Tipo del documento: Article