Narrowing uncertainties in the effects of elevated CO2 on crops

A Toreti, D Deryng, FN Tubiello, C Müller, BA Kimball… - Nature Food, 2020 - nature.com
Plant responses to rising atmospheric carbon dioxide (CO2) concentrations, together with
projected variations in temperature and precipitation will determine future agricultural …

Climate change effects on pathogen emergence: Artificial intelligence to translate big data for mitigation

KA Garrett, DP Bebber, BA Etherton… - Annual Review of …, 2022 - annualreviews.org
Plant pathology has developed a wide range of concepts and tools for improving plant
disease management, including models for understanding and responding to new risks from …

Impacts of 1.5 C global warming on natural and human systems

O Hoegh Guldberg, D Jacob, M Taylor, M Bindi… - 2018 - ri.conicet.gov.ar
This Report responds to the invitation for IPCC?... to provide a Special Report in 2018 on the
impacts of global warming of 1.5° C above pre-industrial levels and related global …

Key determinants of global land-use projections

E Stehfest, WJ van Zeist, H Valin, P Havlik… - Nature …, 2019 - nature.com
Land use is at the core of various sustainable development goals. Long-term climate
foresight studies have structured their recent analyses around five socio-economic pathways …

Exploring uncertainties in global crop yield projections in a large ensemble of crop models and CMIP5 and CMIP6 climate scenarios

C Müller, J Franke, J Jägermeyr… - Environmental …, 2021 - iopscience.iop.org
Concerns over climate change are motivated in large part because of their impact on human
society. Assessing the effect of that uncertainty on specific potential impacts is demanding …

Global wheat production with 1.5 and 2.0° C above pre‐industrial warming

B Liu, P Martre, F Ewert, JR Porter… - Global Change …, 2019 - Wiley Online Library
Efforts to limit global warming to below 2° C in relation to the pre‐industrial level are under
way, in accordance with the 2015 Paris Agreement. However, most impact research on …

Spatio-temporal downscaling of gridded crop model yield estimates based on machine learning

C Folberth, A Baklanov, J Balkovič, R Skalský… - Agricultural and forest …, 2019 - Elsevier
Global gridded crop models (GGCMs) are essential tools for estimating agricultural crop
yields and externalities at large scales, typically at coarse spatial resolutions. Higher …

Combining optical, fluorescence, thermal satellite, and environmental data to predict county-level maize yield in China using machine learning approaches

L Zhang, Z Zhang, Y Luo, J Cao, F Tao - Remote Sensing, 2019 - mdpi.com
Maize is an extremely important grain crop, and the demand has increased sharply
throughout the world. China contributes nearly one-fifth of the total production alone with its …

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

K Li, J Pan, W Xiong, W Xie, T Ali - Scientific Reports, 2022 - nature.com
Climate change is becoming more and more remarkable which has an obvious impact on
crop yields all over the world. Future climate scenario data was simulated by 5 climate …

Increasing risks of multiple breadbasket failure under 1.5 and 2 C global warming

F Gaupp, J Hall, D Mitchell, S Dadson - Agricultural Systems, 2019 - Elsevier
The increasingly inter-connected global food system is becoming more vulnerable to
production shocks owing to increasing global mean temperatures and more frequent climate …