TY - JOUR
T1 - Uncertainty in land-use adaptation persists despite crop model projections showing lower impacts under high warming
AU - Molina Bacca, Edna J.
AU - Stevanović, Miodrag
AU - Bodirsky, Benjamin Leon
AU - Karstens, Kristine
AU - Chen, David Meng Chuen
AU - Leip, Debbora
AU - Müller, Christoph
AU - Minoli, Sara
AU - Heinke, Jens
AU - Jägermeyr, Jonas
AU - Folberth, Christian
AU - Iizumi, Toshichika
AU - Jain, Atul K.
AU - Liu, Wenfeng
AU - Okada, Masashi
AU - Smerald, Andrew
AU - Zabel, Florian
AU - Lotze-Campen, Hermann
AU - Popp, Alexander
N1 - We would like to thank Julia M. Schneider for her support in generating the crop impact projections of the PROMET crop model. Also, we thank Tzu-Shun Lin for his involvement in using and analyzing the ISAM model results. E.M.B. has received funding from the European Union’s Horizon 2020 research and innovation program under grant number 821471 (ENGAGE). BLB has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreements No 776479 (COACCH) and 821010 (CASCADES), and by the Federal Ministry of Education and Research of Germany (BMBF) under the grant no. 01LS2105A (ABCDR). J.J. was supported by the NASA GISS Climate Impacts Group, the Open Philanthropy Project, and USDA grant 59-6000-0-0071. T.I. is supported by the Environment Research and Technology Development Fund (JPMEERF20202002) of the Environmental Restoration and Conservation Agency Provided by the Ministry of Environment of Japan. A.K.J. is supported in part by US NSF (INFEWS/T1 Grant #1856012). K.K. is supported by CDRSynTra (01LS2101G), funded by the BMBF, and by the CEMICS2 project (grant no. ED78/3-2) of the DFG Priority Program “Climate Engineering: Risks, Challenges, Opportunities?” (SPP 1689).
PY - 2023/12
Y1 - 2023/12
N2 - Climate change is expected to impact crop yields and alter resource availability. However, the understanding of the potential of agricultural land-use adaptation and its costs under climate warming is limited. Here, we use a global land system model to assess land-use-based adaptation and its cost under a set of crop model projections, including CO2 fertilization, based on climate model outputs. In our simulations of a low-emissions scenario, the land system responds through slight changes in cropland area in 2100, with costs close to zero. For a high emissions scenario and impacts uncertainty, the response tends toward cropland area changes and investments in technology, with average adaptation costs between −1.5 and +19 US$05 per ton of dry matter per year. Land-use adaptation can reduce adverse climate effects and use favorable changes, like local gains in crop yields. However, variance among high-emissions impact projections creates challenges for effective adaptation planning.
AB - Climate change is expected to impact crop yields and alter resource availability. However, the understanding of the potential of agricultural land-use adaptation and its costs under climate warming is limited. Here, we use a global land system model to assess land-use-based adaptation and its cost under a set of crop model projections, including CO2 fertilization, based on climate model outputs. In our simulations of a low-emissions scenario, the land system responds through slight changes in cropland area in 2100, with costs close to zero. For a high emissions scenario and impacts uncertainty, the response tends toward cropland area changes and investments in technology, with average adaptation costs between −1.5 and +19 US$05 per ton of dry matter per year. Land-use adaptation can reduce adverse climate effects and use favorable changes, like local gains in crop yields. However, variance among high-emissions impact projections creates challenges for effective adaptation planning.
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U2 - 10.1038/s43247-023-00941-z
DO - 10.1038/s43247-023-00941-z
M3 - Article
AN - SCOPUS:85168327449
SN - 2662-4435
VL - 4
JO - Communications Earth and Environment
JF - Communications Earth and Environment
IS - 1
M1 - 284
ER -