Alex C. Ruane

Sep 13, 2024 | dicyt.com | Alex C. Ruane

AGENCIA FAPESP/DICYT - Las actuales tendencias son incompatibles con un mundo sostenible y equitativo: los sistemas alimentarios siguen estando en situación vulnerable ante los riesgos climáticos, y las proyecciones de cambio climático señalan crecientes desafíos. Éstas fueron las principales advertencias que formuló Alex Ruane durante la 7ª Conferencia FAPESP 2024, cuyo tema fue: “Los cambios climáticos y la seguridad alimentaria”.

Jul 15, 2024 | nature.com | Bin Wang |Alex C. Ruane |Puyu Feng |Linchao Li |Qiang Yu |Senthold Asseng

AbstractBoth climate and impact models are essential for understanding and quantifying the impact of climate change on agricultural productivity. Multi-model ensembles have highlighted considerable uncertainties in these assessments, yet a systematic approach to quantify these uncertainties is lacking. We propose a standardized approach to attribute uncertainties in multi-model ensemble studies, based on insights from the Agricultural Model Intercomparison and Improvement Project.

Apr 13, 2024 | agupubs.onlinelibrary.wiley.com | Alex C. Ruane |Meridel Phillips |Jonas Jägermeyr |Christoph Müller

1 Motivation Future agricultural systems are challenged to balance (a) sustainable increases in productivity and efficiency to ensure food security for growing and developing populations, (b) adaptation to current extremes and future climate change, (c) mitigation of greenhouse gas emissions and other environmental impacts, and (d) incentives for the economic engine that keeps the agricultural sector running (Mbow et al., 2019; Nabuurs et al., 2023).

Mar 12, 2024 | agupubs.onlinelibrary.wiley.com | Christoph Müller |Jonas Jägermeyr |James A Franke |Alex C. Ruane

1 Introduction Crop models are often employed to project crop yields under changing conditions such as global warming and associated management change for adaptation (Jägermeyr et al., 2021). Multi-model ensembles are promoted to enhance the robustness of projections (Asseng et al., 2015; Martre et al., 2015), but questions remain on what causes often large differences between projections of individual models (e.g., Jägermeyr et al., 2021; Müller et al., 2021; E. Wang et al., 2022).