Literature DB >> 30880854

Climate Shifts within Major Agricultural Seasons for +1.5 and +2.0 °C Worlds: HAPPI Projections and AgMIP Modeling Scenarios.

Alex C Ruane1, Meridel M Phillips2,1, Cynthia Rosenzweig1.   

Abstract

This study compares climate changes in major agricultural regions and current agricultural seasons associated with global warming of +1.5 or +2.0 °C above pre-industrial conditions. It describes the generation of climate scenarios for agricultural modeling applications conducted as part of the Agricultural Model Intercomparison and Improvement Project (AgMIP) Coordinated Global and Regional Assessments. Climate scenarios from the Half a degree Additional warming, Projections, Prognosis and Impacts project (HAPPI) are largely consistent with transient scenarios extracted from RCP4.5 simulations of the Coupled Model Intercomparison Project phase 5 (CMIP5). Focusing on food and agricultural systems and top-producing breadbaskets in particular, we distinguish maize, rice, wheat, and soy season changes from global annual mean climate changes. Many agricultural regions warm at a rate that is faster than the global mean surface temperature (including oceans) but slower than the mean land surface temperature, leading to regional warming that exceeds 0.5 °C between the +1.5 and +2.0 °C Worlds. Agricultural growing seasons warm at a pace slightly behind the annual temperature trends in most regions, while precipitation increases slightly ahead of the annual rate. Rice cultivation regions show reduced warming as they are concentrated where monsoon rainfall is projected to intensify, although projections are influenced by Asian aerosol loading in climate mitigation scenarios. Compared to CMIP5, HAPPI slightly underestimates the CO2 concentration that corresponds to the +1.5 °C World but overestimates the CO2 concentration for the +2.0 °C World, which means that HAPPI scenarios may also lead to an overestimate in the beneficial effects of CO2 on crops in the +2.0 °C World. HAPPI enables detailed analysis of the shifting distribution of extreme growing season temperatures and precipitation, highlighting widespread increases in extreme heat seasons and heightened skewness toward hot seasons in the tropics. Shifts in the probability of extreme drought seasons generally tracked median precipitation changes; however, some regions skewed toward drought conditions even where median precipitation changes were small. Together, these findings highlight unique seasonal and agricultural region changes in the +1.5°C and +2.0°C worlds for adaptation planning in these climate stabilization targets.

Entities:  

Year:  2018        PMID: 30880854      PMCID: PMC6415298          DOI: 10.1016/j.agrformet.2018.05.013

Source DB:  PubMed          Journal:  Agric For Meteorol        ISSN: 0168-1923            Impact factor:   5.734


  4 in total

1.  Key determinants of global land-use projections.

Authors:  Elke Stehfest; Willem-Jan van Zeist; Hugo Valin; Petr Havlik; Alexander Popp; Page Kyle; Andrzej Tabeau; Daniel Mason-D'Croz; Tomoko Hasegawa; Benjamin L Bodirsky; Katherine Calvin; Jonathan C Doelman; Shinichiro Fujimori; Florian Humpenöder; Hermann Lotze-Campen; Hans van Meijl; Keith Wiebe
Journal:  Nat Commun       Date:  2019-05-15       Impact factor: 14.919

2.  Impregnation of poly(L-lactide-ran-δ-valerolactone) with essential bark oil using supercritical carbon dioxide.

Authors:  Chikara Tsutsumi; Souta Manabe; Susumu Nakayama; Yuushou Nakayama; Takeshi Shiono
Journal:  Sci Rep       Date:  2019-11-08       Impact factor: 4.379

3.  Biophysical and economic implications for agriculture of +1.5° and +2.0°C global warming using AgMIP Coordinated Global and Regional Assessments.

Authors:  Alex C Ruane; John Antle; Joshua Elliott; Christian Folberth; Gerrit Hoogenboom; Daniel Mason-D'Croz; Christoph Müller; Cheryl Porter; Meridel M Phillips; Rubi M Raymundo; Ronald Sands; Roberto O Valdivia; Jeffrey W White; Keith Wiebe; Cynthia Rosenzweig
Journal:  Clim Res       Date:  2018-09-04       Impact factor: 1.972

4.  A temperature binning approach for multi-sector climate impact analysis.

Authors:  Marcus C Sarofim; Jeremy Martinich; James E Neumann; Jacqueline Willwerth; Zoe Kerrich; Michael Kolian; Charles Fant; Corinne Hartin
Journal:  Clim Change       Date:  2021-03-19       Impact factor: 4.743

  4 in total

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