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A New Estimation of Global Soil Greenhouse Gas Fluxes Using a Simple Data-Oriented Model
Soil greenhouse gas fluxes (particularly CO(2), CH(4), and N(2)O) play important roles in climate change. However, despite the importance of these soil greenhouse gases, the number of reports on global soil greenhouse gas fluxes is limited. Here, new estimates are presented for global soil CO(2) emi...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Public Library of Science
2012
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3410890/ https://www.ncbi.nlm.nih.gov/pubmed/22876295 http://dx.doi.org/10.1371/journal.pone.0041962 |
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author | Hashimoto, Shoji |
author_facet | Hashimoto, Shoji |
author_sort | Hashimoto, Shoji |
collection | PubMed |
description | Soil greenhouse gas fluxes (particularly CO(2), CH(4), and N(2)O) play important roles in climate change. However, despite the importance of these soil greenhouse gases, the number of reports on global soil greenhouse gas fluxes is limited. Here, new estimates are presented for global soil CO(2) emission (total soil respiration), CH(4) uptake, and N(2)O emission fluxes, using a simple data-oriented model. The estimated global fluxes for CO(2) emission, CH(4) uptake, and N(2)O emission were 78 Pg C yr(−1) (Monte Carlo 95% confidence interval, 64–95 Pg C yr(−1)), 18 Tg C yr(−1) (11–23 Tg C yr(−1)), and 4.4 Tg N yr(−1) (1.4–11.1 Tg N yr(−1)), respectively. Tropical regions were the largest contributor of all of the gases, particularly the CO(2) and N(2)O fluxes. The soil CO(2) and N(2)O fluxes had more pronounced seasonal patterns than the soil CH(4) flux. The collected estimates, including both the previous and the present estimates, demonstrate that the means of the best estimates from each study were 79 Pg C yr(−1) (291 Pg CO(2) yr(−1); coefficient of variation, CV = 13%, N = 6) for CO(2), 21 Tg C yr(−1) (29 Tg CH(4) yr(−1); CV = 24%, N = 24) for CH(4), and 7.8 Tg N yr(−1) (12.2 Tg N(2)O yr(−1); CV = 38%, N = 11) for N(2)O. For N(2)O, the mean of the estimates that was calculated by excluding the earliest two estimates was 6.6 Tg N yr(−1) (10.4 Tg N(2)O yr(−1); CV = 22%, N = 9). The reported estimates vary and have large degrees of uncertainty but their overall magnitudes are in general agreement. To further minimize the uncertainty of soil greenhouse gas flux estimates, it is necessary to build global databases and identify key processes in describing global soil greenhouse gas fluxes. |
format | Online Article Text |
id | pubmed-3410890 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-34108902012-08-08 A New Estimation of Global Soil Greenhouse Gas Fluxes Using a Simple Data-Oriented Model Hashimoto, Shoji PLoS One Research Article Soil greenhouse gas fluxes (particularly CO(2), CH(4), and N(2)O) play important roles in climate change. However, despite the importance of these soil greenhouse gases, the number of reports on global soil greenhouse gas fluxes is limited. Here, new estimates are presented for global soil CO(2) emission (total soil respiration), CH(4) uptake, and N(2)O emission fluxes, using a simple data-oriented model. The estimated global fluxes for CO(2) emission, CH(4) uptake, and N(2)O emission were 78 Pg C yr(−1) (Monte Carlo 95% confidence interval, 64–95 Pg C yr(−1)), 18 Tg C yr(−1) (11–23 Tg C yr(−1)), and 4.4 Tg N yr(−1) (1.4–11.1 Tg N yr(−1)), respectively. Tropical regions were the largest contributor of all of the gases, particularly the CO(2) and N(2)O fluxes. The soil CO(2) and N(2)O fluxes had more pronounced seasonal patterns than the soil CH(4) flux. The collected estimates, including both the previous and the present estimates, demonstrate that the means of the best estimates from each study were 79 Pg C yr(−1) (291 Pg CO(2) yr(−1); coefficient of variation, CV = 13%, N = 6) for CO(2), 21 Tg C yr(−1) (29 Tg CH(4) yr(−1); CV = 24%, N = 24) for CH(4), and 7.8 Tg N yr(−1) (12.2 Tg N(2)O yr(−1); CV = 38%, N = 11) for N(2)O. For N(2)O, the mean of the estimates that was calculated by excluding the earliest two estimates was 6.6 Tg N yr(−1) (10.4 Tg N(2)O yr(−1); CV = 22%, N = 9). The reported estimates vary and have large degrees of uncertainty but their overall magnitudes are in general agreement. To further minimize the uncertainty of soil greenhouse gas flux estimates, it is necessary to build global databases and identify key processes in describing global soil greenhouse gas fluxes. Public Library of Science 2012-08-02 /pmc/articles/PMC3410890/ /pubmed/22876295 http://dx.doi.org/10.1371/journal.pone.0041962 Text en © 2012 Shoji Hashimoto http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Hashimoto, Shoji A New Estimation of Global Soil Greenhouse Gas Fluxes Using a Simple Data-Oriented Model |
title | A New Estimation of Global Soil Greenhouse Gas Fluxes Using a Simple Data-Oriented Model |
title_full | A New Estimation of Global Soil Greenhouse Gas Fluxes Using a Simple Data-Oriented Model |
title_fullStr | A New Estimation of Global Soil Greenhouse Gas Fluxes Using a Simple Data-Oriented Model |
title_full_unstemmed | A New Estimation of Global Soil Greenhouse Gas Fluxes Using a Simple Data-Oriented Model |
title_short | A New Estimation of Global Soil Greenhouse Gas Fluxes Using a Simple Data-Oriented Model |
title_sort | new estimation of global soil greenhouse gas fluxes using a simple data-oriented model |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3410890/ https://www.ncbi.nlm.nih.gov/pubmed/22876295 http://dx.doi.org/10.1371/journal.pone.0041962 |
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