Christian Folberth

Dr. Christian Folberth


Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 December 2013 in Proceedings of the National Academy of Sciences
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Journal Article
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CRCynthia Rosenzweig
Cynthia Rosenzweig
JEJoshua Elliott
Joshua Elliott
DDDelphine Deryng
Delphine Deryng
ARAlex C. Ruane
Alex C. Ruane
CMChristoph Müller
Christoph Müller
JJJames W. Jones
James W. Jones
Significance: Agriculture is arguably the sector most affected by climate change, but assessments differ and are thus difficult to compare. We provide a globally consistent, protocol-based, multimodel climate change assessment for major crops with explicit characterization of uncertainty. Results with multimodel agreement indicate strong negative effects from climate change, especially at higher levels of warming and at low latitudes where developing countries are concentrated. Simulations that consider explicit nitrogen stress result in much more severe impacts from climate change, with implications for adaptation planning.

1 November 2021 in Nature Food
Verified
Journal Article
Closed access
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Jonas JägermeyrJonas Jägermeyr
Jonas Jägermeyr
CMChristoph Müller
Christoph Müller
ARAlex C. Ruane
Alex C. Ruane
JEJoshua Elliott
Joshua Elliott
JBJuraj Balkovic
Juraj Balkovic
CRCynthia Rosenzweig
Cynthia Rosenzweig

16 December 2013 in Proceedings of the National Academy of Sciences
Verified
Journal Article
Closed access
PDF file
JEJoshua Elliott
Joshua Elliott
DDDelphine Deryng
Delphine Deryng
CMChristoph Müller
Christoph Müller
KFKatja Frieler
Katja Frieler
MKMarkus Konzmann
Markus Konzmann
DWDominik Wisser
Dominik Wisser
We compare ensembles of water supply and demand projections from 10 global hydrological models and six global gridded crop models. These are produced as part of the Inter-Sectoral Impacts Model Intercomparison Project, with coordination from the Agricultural Model Intercomparison and Improvement Project, and driven by outputs of general circulation models run under representative concentration pathway 8.5 as part of the Fifth Coupled Model Intercomparison Project. Models project that direct climate impacts to maize, soybean, wheat, and rice involve losses of 400–1,400 Pcal (8–24% of present-day total) when CO2 fertilization effects are accounted for or 1,400–2,600 Pcal (24–43%) otherwise. Freshwater limitations in some irrigated regions (western United States; China; and West, South, and Central Asia) could necessitate the reversion of 20–60 Mha of cropland from irrigated to rainfed management by end-of-century, and a further loss of 600–2,900 Pcal of food production. In other regions (northern/eastern United States, parts of South America, much of Europe, and South East Asia) surplus water supply could in principle support a net increase in irrigation, although substantial investments in irrigation infrastructure would be required. Significance Freshwater availability is relevant to almost all socioeconomic and environmental impacts of climate and demographic change and their implications for sustainability. We compare ensembles of water supply and demand projections driven by ensemble output from five global climate models. Our results suggest reasons for concern. Direct climate impacts to maize, soybean, wheat, and rice involve losses of 400–2,600 Pcal (8–43% of present-day total). Freshwater limitations in some heavily irrigated regions could necessitate reversion of 20–60 Mha of cropland from irrigated to rainfed management, and a further loss of 600–2,900 Pcal. Freshwater abundance in other regions could help ameliorate these losses, but substantial investment in infrastructure would be required.

12 September 2016 in Nature Climate Change
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Journal Article
Closed access
Bing LiuBing Liu
Bing Liu
SASenthold Asseng
Senthold Asseng
CMChristoph Müller
Christoph Müller
FEFrank Ewert
Frank Ewert
JEJoshua Elliott
Joshua Elliott
YZYan Zhu
Yan Zhu

19 May 2020 in Nature Food
Verified
Journal Article
Closed access
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MHMario Herrero
Mario Herrero
PTPhilip Thornton
Philip Thornton
DMDaniel Mason-D'Croz
Daniel Mason-D'Croz
JPJeda Palmer
Jeda Palmer
TBTim G. Benton
Tim G. Benton
PWPaul West
Paul West

19 January 2017 in Nature Communications
Verified
Journal Article
Open access
PDF file
BSBernhard Schauberger
Bernhard Schauberger
SASotirios Archontoulis
Sotirios Archontoulis
AAAlmut Arneth
Almut Arneth
JBJuraj Balkovič
Juraj Balkovič
PCPhilippe Ciais
Philippe Ciais
KFKatja Frieler
Katja Frieler
High temperatures are detrimental to crop yields and could lead to global warming-driven reductions in agricultural productivity. To assess future threats, the majority of studies used process-based crop models, but their ability to represent effects of high temperature has been questioned. Here we show that an ensemble of nine crop models reproduces the observed average temperature responses of US maize, soybean and wheat yields. Each day >30 °C diminishes maize and soybean yields by up to 6% under rainfed conditions. Declines observed in irrigated areas, or simulated assuming full irrigation, are weak. This supports the hypothesis that water stress induced by high temperatures causes the decline. For wheat a negative response to high temperature is neither observed nor simulated under historical conditions, since critical temperatures are rarely exceeded during the growing season. In the future, yields are modelled to decline for all three crops at temperatures >30 °C. Elevated CO2can only weakly reduce these yield losses, in contrast to irrigation.