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Optimal climate intervention scenarios for crop production vary by nation.
Clark, Brendan; Xia, Lili; Robock, Alan; Tilmes, Simone; Richter, Jadwiga H; Visioni, Daniele; Rabin, Sam S.
Afiliação
  • Clark B; Department of Environmental Sciences, Rutgers University, New Brunswick, NJ, USA. bjc204@envsci.rutgers.edu.
  • Xia L; Department of Environmental Sciences, Rutgers University, New Brunswick, NJ, USA.
  • Robock A; Department of Environmental Sciences, Rutgers University, New Brunswick, NJ, USA.
  • Tilmes S; Atmospheric Chemistry, Observations, and Modeling Laboratory, National Center for Atmospheric Research, Boulder, CO, USA.
  • Richter JH; Climate Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, CO, USA.
  • Visioni D; Department of Earth and Atmospheric Sciences, Cornell University, Ithaca, NY, USA.
  • Rabin SS; Department of Environmental Sciences, Rutgers University, New Brunswick, NJ, USA.
Nat Food ; 4(10): 902-911, 2023 Oct.
Article em En | MEDLINE | ID: mdl-37798559
ABSTRACT
Stratospheric aerosol intervention (SAI) is a proposed strategy to reduce the effects of anthropogenic climate change. There are many temperature targets that could be chosen for a SAI implementation, which would regionally modify climatically relevant variables such as surface temperature, precipitation, humidity, total solar radiation and diffuse radiation. In this work, we analyse impacts on national maize, rice, soybean and wheat production by looking at output from 11 different SAI scenarios carried out with a fully coupled Earth system model coupled to a crop model. Higher-latitude nations tend to produce the most calories under unabated climate change, while midlatitude nations maximize calories under moderate SAI implementation and equatorial nations produce the most calories from crops under high levels of SAI. Our results highlight the challenges in defining 'globally optimal' SAI strategies, even if such definitions are based on just one metric.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Produtos Agrícolas / Produção Agrícola Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Produtos Agrícolas / Produção Agrícola Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article