Articles | Volume 13, issue 1
https://doi.org/10.5194/esd-13-419-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esd-13-419-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Agricultural management effects on mean and extreme temperature trends
Aine M. Gormley-Gallagher
CORRESPONDING AUTHOR
Department of Hydrology and Hydraulic Engineering, Vrije Universiteit
Brussel, Brussels, Belgium
Sebastian Sterl
Department of Hydrology and Hydraulic Engineering, Vrije Universiteit
Brussel, Brussels, Belgium
Department of Earth and Environmental Sciences, KU Leuven, Leuven,
Belgium
Center for Development Research, University of Bonn, Bonn, Germany
Annette L. Hirsch
ARC Centre of Excellence for Climate Extremes, University of New South
Wales, Sydney, Australia
Sonia I. Seneviratne
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich,
Switzerland
Edouard L. Davin
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich,
Switzerland
Wim Thiery
Department of Hydrology and Hydraulic Engineering, Vrije Universiteit
Brussel, Brussels, Belgium
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich,
Switzerland
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Cited
13 citations as recorded by crossref.
- The biogeophysical effects of idealized land cover and land management changes in Earth system models S. De Hertog et al. https://doi.org/10.5194/esd-13-1305-2022
- Improving High-Resolution GPP Estimation by Incorporating Flux Footprint Weighting With Mechanistic Canopy Partitioning F. Yang et al. https://doi.org/10.1109/JSTARS.2026.3706054
- Earth system model-based assessment of carbon removal potential and climate effects of afforestation X. Qi et al. https://doi.org/10.1051/e3sconf/202563002012
- Irrigation in the Earth system S. McDermid et al. https://doi.org/10.1038/s43017-023-00438-5
- FRIDA-Clim v1.0.1: a simple climate model with process-based carbon cycle used in the integrated assessment model FRIDAv2.1 C. Wells et al. https://doi.org/10.5194/gmd-19-1429-2026
- Hotter Nights, Hidden Consequences: An Overlooked Dimension of Climate Change A. Carter & J. Fleming https://doi.org/10.1093/icb/icaf146
- Modeling the effects of present-day irrigation on temperature extremes over China X. Li et al. https://doi.org/10.3389/feart.2023.1084892
- Evaluation of 22 CMIP6 model-derived global soil moisture products of different shared socioeconomic pathways Y. Liu et al. https://doi.org/10.1016/j.jhydrol.2024.131241
- Adapting agriculture to climate change via sustainable irrigation: biophysical potentials and feedbacks L. Rosa https://doi.org/10.1088/1748-9326/ac7408
- A practical exploration of land cover impacts on surface and air temperature when they are most consequential K. Novick & M. Barnes https://doi.org/10.1088/2752-5295/accdf9
- Modifying the WRF-Noah irrigation representation to simulate regional climate effects of irrigation over the humid middle-lower Yangtze Plain, China L. Zou et al. https://doi.org/10.1016/j.jhydrol.2026.135699
- Remote carbon cycle changes are overlooked impacts of land cover and land management changes S. Guo et al. https://doi.org/10.5194/esd-16-631-2025
- The biogeophysical effects of idealized land cover and land management changes in Earth system models S. De Hertog et al. https://doi.org/10.5194/esd-14-629-2023
13 citations as recorded by crossref.
- The biogeophysical effects of idealized land cover and land management changes in Earth system models S. De Hertog et al. https://doi.org/10.5194/esd-13-1305-2022
- Improving High-Resolution GPP Estimation by Incorporating Flux Footprint Weighting With Mechanistic Canopy Partitioning F. Yang et al. https://doi.org/10.1109/JSTARS.2026.3706054
- Earth system model-based assessment of carbon removal potential and climate effects of afforestation X. Qi et al. https://doi.org/10.1051/e3sconf/202563002012
- Irrigation in the Earth system S. McDermid et al. https://doi.org/10.1038/s43017-023-00438-5
- FRIDA-Clim v1.0.1: a simple climate model with process-based carbon cycle used in the integrated assessment model FRIDAv2.1 C. Wells et al. https://doi.org/10.5194/gmd-19-1429-2026
- Hotter Nights, Hidden Consequences: An Overlooked Dimension of Climate Change A. Carter & J. Fleming https://doi.org/10.1093/icb/icaf146
- Modeling the effects of present-day irrigation on temperature extremes over China X. Li et al. https://doi.org/10.3389/feart.2023.1084892
- Evaluation of 22 CMIP6 model-derived global soil moisture products of different shared socioeconomic pathways Y. Liu et al. https://doi.org/10.1016/j.jhydrol.2024.131241
- Adapting agriculture to climate change via sustainable irrigation: biophysical potentials and feedbacks L. Rosa https://doi.org/10.1088/1748-9326/ac7408
- A practical exploration of land cover impacts on surface and air temperature when they are most consequential K. Novick & M. Barnes https://doi.org/10.1088/2752-5295/accdf9
- Modifying the WRF-Noah irrigation representation to simulate regional climate effects of irrigation over the humid middle-lower Yangtze Plain, China L. Zou et al. https://doi.org/10.1016/j.jhydrol.2026.135699
- Remote carbon cycle changes are overlooked impacts of land cover and land management changes S. Guo et al. https://doi.org/10.5194/esd-16-631-2025
- The biogeophysical effects of idealized land cover and land management changes in Earth system models S. De Hertog et al. https://doi.org/10.5194/esd-14-629-2023
Saved (final revised paper)
Latest update: 05 Aug 2026
Short summary
Our results show that agricultural management can impact the local climate and highlight the need to evaluate land management in climate models. We use regression analysis on climate simulations and observations to assess irrigation and conservation agriculture impacts on warming trends. This allowed us to distinguish between the effects of land management and large-scale climate forcings such as rising CO2 concentrations and thus gain insight into the impacts under different climate regimes.
Our results show that agricultural management can impact the local climate and highlight the...
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