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Adaptation in U.S. Corn Belt increases resistance to soil carbon loss with climate change
Increasing the amount of soil organic carbon (SOC) has agronomic benefits and the potential to mitigate climate change. Previous regional predictions of SOC trends under climate change often ignore or do not explicitly consider the effect of crop adaptation (i.e., changing planting dates and varieti...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7429838/ https://www.ncbi.nlm.nih.gov/pubmed/32796897 http://dx.doi.org/10.1038/s41598-020-70819-z |
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author | Zhang, Yao Marx, Ernie Williams, Stephen Gurung, Ram Ogle, Stephen Horton, Radley Bader, Daniel Paustian, Keith |
author_facet | Zhang, Yao Marx, Ernie Williams, Stephen Gurung, Ram Ogle, Stephen Horton, Radley Bader, Daniel Paustian, Keith |
author_sort | Zhang, Yao |
collection | PubMed |
description | Increasing the amount of soil organic carbon (SOC) has agronomic benefits and the potential to mitigate climate change. Previous regional predictions of SOC trends under climate change often ignore or do not explicitly consider the effect of crop adaptation (i.e., changing planting dates and varieties). We used the DayCent biogeochemical model to examine the effect of adaptation on SOC for corn and soybean production in the U.S. Corn Belt using climate data from three models. Without adaptation, yields of both corn and soybean tended to decrease and the decomposition of SOC tended to increase leading to a loss of SOC with climate change compared to a baseline scenario with no climate change. With adaptation, the model predicted a substantially higher crop yield. The increase in yields and associated carbon input to the SOC pool counteracted the increased decomposition in the adaptation scenarios, leading to similar SOC stocks under different climate change scenarios. Consequently, we found that crop management adaptation to changing climatic conditions strengthen agroecosystem resistance to SOC loss. However, there are differences spatially in SOC trends. The northern part of the region is likely to gain SOC while the southern part of the region is predicted to lose SOC. |
format | Online Article Text |
id | pubmed-7429838 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-74298382020-08-18 Adaptation in U.S. Corn Belt increases resistance to soil carbon loss with climate change Zhang, Yao Marx, Ernie Williams, Stephen Gurung, Ram Ogle, Stephen Horton, Radley Bader, Daniel Paustian, Keith Sci Rep Article Increasing the amount of soil organic carbon (SOC) has agronomic benefits and the potential to mitigate climate change. Previous regional predictions of SOC trends under climate change often ignore or do not explicitly consider the effect of crop adaptation (i.e., changing planting dates and varieties). We used the DayCent biogeochemical model to examine the effect of adaptation on SOC for corn and soybean production in the U.S. Corn Belt using climate data from three models. Without adaptation, yields of both corn and soybean tended to decrease and the decomposition of SOC tended to increase leading to a loss of SOC with climate change compared to a baseline scenario with no climate change. With adaptation, the model predicted a substantially higher crop yield. The increase in yields and associated carbon input to the SOC pool counteracted the increased decomposition in the adaptation scenarios, leading to similar SOC stocks under different climate change scenarios. Consequently, we found that crop management adaptation to changing climatic conditions strengthen agroecosystem resistance to SOC loss. However, there are differences spatially in SOC trends. The northern part of the region is likely to gain SOC while the southern part of the region is predicted to lose SOC. Nature Publishing Group UK 2020-08-14 /pmc/articles/PMC7429838/ /pubmed/32796897 http://dx.doi.org/10.1038/s41598-020-70819-z Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Zhang, Yao Marx, Ernie Williams, Stephen Gurung, Ram Ogle, Stephen Horton, Radley Bader, Daniel Paustian, Keith Adaptation in U.S. Corn Belt increases resistance to soil carbon loss with climate change |
title | Adaptation in U.S. Corn Belt increases resistance to soil carbon loss with climate change |
title_full | Adaptation in U.S. Corn Belt increases resistance to soil carbon loss with climate change |
title_fullStr | Adaptation in U.S. Corn Belt increases resistance to soil carbon loss with climate change |
title_full_unstemmed | Adaptation in U.S. Corn Belt increases resistance to soil carbon loss with climate change |
title_short | Adaptation in U.S. Corn Belt increases resistance to soil carbon loss with climate change |
title_sort | adaptation in u.s. corn belt increases resistance to soil carbon loss with climate change |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7429838/ https://www.ncbi.nlm.nih.gov/pubmed/32796897 http://dx.doi.org/10.1038/s41598-020-70819-z |
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