Literature DB >> 27941818

Simulating US agriculture in a modern Dust Bowl drought.

Michael Glotter1, Joshua Elliott2,3.   

Abstract

Drought-induced agricultural loss is one of the most costly impacts of extreme weather1-3, and without mitigation, climate change is likely to increase the severity and frequency of future droughts4,5. The Dust Bowl of the 1930s was the driest and hottest for agriculture in modern US history. Improvements in farming practices have increased productivity, but yields today are still tightly linked to climate variation6 and the impacts of a 1930s-type drought on current and future agricultural systems remain unclear. Simulations of biophysical process and empirical models suggest that Dust-Bowl-type droughts today would have unprecedented consequences, with yield losses ∼50% larger than the severe drought of 2012. Damages at these extremes are highly sensitive to temperature, worsening by ∼25% with each degree centigrade of warming. We find that high temperatures can be more damaging than rainfall deficit, and, without adaptation, warmer mid-century temperatures with even average precipitation could lead to maize losses equivalent to the Dust Bowl drought. Warmer temperatures alongside consecutive droughts could make up to 85% of rain-fed maize at risk of changes that may persist for decades. Understanding the interactions of weather extremes and a changing agricultural system is therefore critical to effectively respond to, and minimize, the impacts of the next extreme drought event.

Entities:  

Mesh:

Year:  2016        PMID: 27941818     DOI: 10.1038/nplants.2016.193

Source DB:  PubMed          Journal:  Nat Plants        ISSN: 2055-0278            Impact factor:   15.793


  7 in total

1.  Improving the use of crop models for risk assessment and climate change adaptation.

Authors:  Andrew J Challinor; Christoph Müller; Senthold Asseng; Chetan Deva; Kathryn Jane Nicklin; Daniel Wallach; Eline Vanuytrecht; Stephen Whitfield; Julian Ramirez-Villegas; Ann-Kristin Koehler
Journal:  Agric Syst       Date:  2018-01       Impact factor: 5.370

2.  Spatial variations in crop growing seasons pivotal to reproduce global fluctuations in maize and wheat yields.

Authors:  Jonas Jägermeyr; Katja Frieler
Journal:  Sci Adv       Date:  2018-11-21       Impact factor: 14.136

3.  Larger-scale ocean-atmospheric patterns drive synergistic variability and world-wide volatility of wheat yields.

Authors:  Ehsan Najafi; Indrani Pal; Reza Khanbilvardi
Journal:  Sci Rep       Date:  2020-03-23       Impact factor: 4.379

4.  Excessive rainfall leads to maize yield loss of a comparable magnitude to extreme drought in the United States.

Authors:  Yan Li; Kaiyu Guan; Gary D Schnitkey; Evan DeLucia; Bin Peng
Journal:  Glob Chang Biol       Date:  2019-04-29       Impact factor: 10.863

Review 5.  Crop resilience via inter-plant spacing brings to the fore the productive ideotype.

Authors:  Ioannis Tokatlidis
Journal:  Front Plant Sci       Date:  2022-09-21       Impact factor: 6.627

6.  The impact of 1.5 °C and 2.0 °C global warming on global maize production and trade.

Authors:  Kuo Li; Jie Pan; Wei Xiong; Wei Xie; Tariq Ali
Journal:  Sci Rep       Date:  2022-10-14       Impact factor: 4.996

7.  A regional nuclear conflict would compromise global food security.

Authors:  Jonas Jägermeyr; Alan Robock; Joshua Elliott; Christoph Müller; Lili Xia; Nikolay Khabarov; Christian Folberth; Erwin Schmid; Wenfeng Liu; Florian Zabel; Sam S Rabin; Michael J Puma; Alison Heslin; James Franke; Ian Foster; Senthold Asseng; Charles G Bardeen; Owen B Toon; Cynthia Rosenzweig
Journal:  Proc Natl Acad Sci U S A       Date:  2020-03-16       Impact factor: 11.205

  7 in total

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