Assessing agricultural risks of climate change in the 21st century in a global gridded crop model intercomparison

By Cynthia Rosenzweig, Joshua Elliott, D. Deryng, A. Ruane, Christoph Müller, Almut Arneth, Kenneth J. Boote, C. Folberth, Michael Glotter, N. Khabarov and 7 more. Proceedings of the National Academy of Sciences of the United States of America, 2013

2,165 citations recorded by the source corpus.

Subfields: Ecology, Evolution, Behavior and Systematics, Global and Planetary Change, Plant Science

View Paper: https://www.semanticscholar.org/paper/d4e6c53a6dba25903a58f3b6bfab2df4a4293090

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In Ecology, Evolution, Behavior and Systematics

In Global and Planetary Change

In Plant Science

Citations in the corpus

Comparing impacts of climate change and mitigation on global agriculture by 2050 (2018, background): “Recent work as part of the Agricultural Model Inter-comparison and Improvement Project (AgMIP) (Rosenzweig et al 2013) has examined (and narrowed) the differences between models in estimated impacts on agriculture of a certain level of climate change through systematic model inter-comparison…”
Climate Change Impacts on Water and Agriculture Sectors in Southern Africa: Threats and Opportunities for Sustainable Development (2020, background): “Furthermore, the changing climate exacerbates water stress and hydrologic variability especially in semi-arid and arid regions that include Southern Africa [11].”
Exploring SSP land-use dynamics using the IMAGE model: Regional and gridded scenarios of land-use change and land-based climate change mitigation (2018, neutral): “Analyses show that climate change may have a substantial and predominantly negative e ﬀ ect on crop yields on a global scale, especially if CO 2 fertilization is excluded (Rosenzweig et al., 2014; Asseng et al., 2013; Müller et al., 2015).”
OCO-2 advances photosynthesis observation from space via solar-induced chlorophyll fluorescence (2017, background): “This uncertainty constitutes a critical constraint in the projection of future crop production (4) and carbon-climate feedbacks (5 ).”
Global exposure and vulnerability to multi-sector development and climate change hotspots (2018, background): “ISIMIP future climate change scenarios [52] for 18 crops and 4 crop managements”
Constraints and potentials of future irrigation water availability on agricultural production under climate change (2013, background): “(29) also in this issue of PNAS for a detailed description of the GGCMs and simulations] to (iii) evaluate the potential impacts of (limited) irrigation water availability on future crop productivity and (iv) characterize the uncertainty in projections of global potential for irrigation-based adapta”
Tackling Climate Change with Machine Learning (2019, background): “[538] Cynthia Rosenzweig, Joshua Elliott, Delphine Deryng, Alex C Ruane, Christoph Müller, Almut Arneth, Kenneth J Boote, Christian Folberth, Michael Glotter, Nikolay Khabarov, et al.”
Effect of Fertility Policy Changes on the Population Structure and Economy of China: From the Perspective of the Shared Socioeconomic Pathways (2019, background): “Meanwhile, more socioeconomic sectors will be exposed to extreme events throughout the world (Cai et al., 2014; Donat et al., 2016; Field et al., 2012; Rosenzweig et al., 2014; Schewe et al., 2014; Su et al., 2018).”