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Observational evidence of legacy effects of the 2018 drought on a mixed deciduous forest in Germany
Forests play a major role in the global carbon cycle, and droughts have been shown to explain much of the interannual variability in the terrestrial carbon sink capacity. The quantification of drought legacy effects on ecosystem carbon fluxes is a challenging task, and research on the ecosystem scal...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10322863/ https://www.ncbi.nlm.nih.gov/pubmed/37407831 http://dx.doi.org/10.1038/s41598-023-38087-9 |
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author | Pohl, Felix Werban, Ulrike Kumar, Rohini Hildebrandt, Anke Rebmann, Corinna |
author_facet | Pohl, Felix Werban, Ulrike Kumar, Rohini Hildebrandt, Anke Rebmann, Corinna |
author_sort | Pohl, Felix |
collection | PubMed |
description | Forests play a major role in the global carbon cycle, and droughts have been shown to explain much of the interannual variability in the terrestrial carbon sink capacity. The quantification of drought legacy effects on ecosystem carbon fluxes is a challenging task, and research on the ecosystem scale remains sparse. In this study we investigate the delayed response of an extreme drought event on the carbon cycle in the mixed deciduous forest site ’Hohes Holz’ (DE-HoH) located in Central Germany, using the measurements taken between 2015 and 2020. Our analysis demonstrates that the extreme drought and heat event in 2018 had strong legacy effects on the carbon cycle in 2019, but not in 2020. On an annual basis, net ecosystem productivity was [Formula: see text] higher in 2018 ([Formula: see text] ) and [Formula: see text] lower in 2019 ([Formula: see text] ) compared to pre-drought years ([Formula: see text] ). Using spline regression, we show that while current hydrometeorological conditions can explain forest productivity in 2020, they do not fully explain the decrease in productivity in 2019. Including long-term drought information in the statistical model reduces overestimation error of productivity in 2019 by nearly [Formula: see text] . We also found that short-term drought events have positive impacts on the carbon cycle at the beginning of the vegetation season, but negative impacts in later summer, while long-term drought events have generally negative impacts throughout the growing season. Overall, our findings highlight the importance of considering the diverse and complex impacts of extreme events on ecosystem fluxes, including the timing, temporal scale, and magnitude of the events, and the need to use consistent definitions of drought to clearly convey immediate and delayed responses. |
format | Online Article Text |
id | pubmed-10322863 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-103228632023-07-07 Observational evidence of legacy effects of the 2018 drought on a mixed deciduous forest in Germany Pohl, Felix Werban, Ulrike Kumar, Rohini Hildebrandt, Anke Rebmann, Corinna Sci Rep Article Forests play a major role in the global carbon cycle, and droughts have been shown to explain much of the interannual variability in the terrestrial carbon sink capacity. The quantification of drought legacy effects on ecosystem carbon fluxes is a challenging task, and research on the ecosystem scale remains sparse. In this study we investigate the delayed response of an extreme drought event on the carbon cycle in the mixed deciduous forest site ’Hohes Holz’ (DE-HoH) located in Central Germany, using the measurements taken between 2015 and 2020. Our analysis demonstrates that the extreme drought and heat event in 2018 had strong legacy effects on the carbon cycle in 2019, but not in 2020. On an annual basis, net ecosystem productivity was [Formula: see text] higher in 2018 ([Formula: see text] ) and [Formula: see text] lower in 2019 ([Formula: see text] ) compared to pre-drought years ([Formula: see text] ). Using spline regression, we show that while current hydrometeorological conditions can explain forest productivity in 2020, they do not fully explain the decrease in productivity in 2019. Including long-term drought information in the statistical model reduces overestimation error of productivity in 2019 by nearly [Formula: see text] . We also found that short-term drought events have positive impacts on the carbon cycle at the beginning of the vegetation season, but negative impacts in later summer, while long-term drought events have generally negative impacts throughout the growing season. Overall, our findings highlight the importance of considering the diverse and complex impacts of extreme events on ecosystem fluxes, including the timing, temporal scale, and magnitude of the events, and the need to use consistent definitions of drought to clearly convey immediate and delayed responses. Nature Publishing Group UK 2023-07-05 /pmc/articles/PMC10322863/ /pubmed/37407831 http://dx.doi.org/10.1038/s41598-023-38087-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Pohl, Felix Werban, Ulrike Kumar, Rohini Hildebrandt, Anke Rebmann, Corinna Observational evidence of legacy effects of the 2018 drought on a mixed deciduous forest in Germany |
title | Observational evidence of legacy effects of the 2018 drought on a mixed deciduous forest in Germany |
title_full | Observational evidence of legacy effects of the 2018 drought on a mixed deciduous forest in Germany |
title_fullStr | Observational evidence of legacy effects of the 2018 drought on a mixed deciduous forest in Germany |
title_full_unstemmed | Observational evidence of legacy effects of the 2018 drought on a mixed deciduous forest in Germany |
title_short | Observational evidence of legacy effects of the 2018 drought on a mixed deciduous forest in Germany |
title_sort | observational evidence of legacy effects of the 2018 drought on a mixed deciduous forest in germany |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10322863/ https://www.ncbi.nlm.nih.gov/pubmed/37407831 http://dx.doi.org/10.1038/s41598-023-38087-9 |
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