Sökning: WFRF:(Lohila Annalea) > Modeled Microbial D...
Fältnamn | Indikatorer | Metadata |
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000 | 05982naa a2200733 4500 | |
001 | oai:lup.lub.lu.se:12ac5c56-5d8b-410b-8781-b7217592ad22 | |
003 | SwePub | |
008 | 201201s2020 | |||||||||||000 ||eng| | |
009 | oai:DiVA.org:su-188881 | |
024 | 7 | a https://lup.lub.lu.se/record/12ac5c56-5d8b-410b-8781-b7217592ad222 URI |
024 | 7 | a https://doi.org/10.1029/2020GB0066782 DOI |
024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-1888812 URI |
040 | a (SwePub)lud (SwePub)su | |
041 | a engb eng | |
042 | 9 SwePub | |
072 | 7 | a art2 swepub-publicationtype |
072 | 7 | a ref2 swepub-contenttype |
100 | 1 | a Chadburn, Sarah E.u University of Exeter4 aut |
245 | 1 0 | a Modeled Microbial Dynamics Explain the Apparent Temperature Sensitivity of Wetland Methane Emissions |
264 | 1 | c 2020 |
520 | a Methane emissions from natural wetlands tend to increase with temperature and therefore may lead to a positive feedback under future climate change. However, their temperature response includes confounding factors and appears to differ on different time scales. Observed methane emissions depend strongly on temperature on a seasonal basis, but if the annual mean emissions are compared between sites, there is only a small temperature effect. We hypothesize that microbial dynamics are a major driver of the seasonal cycle and that they can explain this apparent discrepancy. We introduce a relatively simple model of methanogenic growth and dormancy into a wetland methane scheme that is used in an Earth system model. We show that this addition is sufficient to reproduce the observed seasonal dynamics of methane emissions in fully saturated wetland sites, at the same time as reproducing the annual mean emissions. We find that a more complex scheme used in recent Earth system models does not add predictive power. The sites used span a range of climatic conditions, with the majority in high latitudes. The difference in apparent temperature sensitivity seasonally versus spatially cannot be recreated by the non-microbial schemes tested. We therefore conclude that microbial dynamics are a strong candidate to be driving the seasonal cycle of wetland methane emissions. We quantify longer-term temperature sensitivity using this scheme and show that it gives approximately a 12% increase in emissions per degree of warming globally. This is in addition to any hydrological changes, which could also impact future methane emissions. | |
650 | 7 | a NATURVETENSKAPx Geovetenskap och miljövetenskapx Naturgeografi0 (SwePub)105072 hsv//swe |
650 | 7 | a NATURAL SCIENCESx Earth and Related Environmental Sciencesx Physical Geography0 (SwePub)105072 hsv//eng |
650 | 7 | a NATURVETENSKAPx Geovetenskap och miljövetenskapx Klimatforskning0 (SwePub)105012 hsv//swe |
650 | 7 | a NATURAL SCIENCESx Earth and Related Environmental Sciencesx Climate Research0 (SwePub)105012 hsv//eng |
650 | 7 | a NATURVETENSKAPx Geovetenskap och miljövetenskap0 (SwePub)1052 hsv//swe |
650 | 7 | a NATURAL SCIENCESx Earth and Related Environmental Sciences0 (SwePub)1052 hsv//eng |
653 | a global modeling | |
653 | a methane | |
653 | a methanogens | |
653 | a microbial modeling | |
653 | a wetland methane | |
653 | a methane | |
700 | 1 | a Aalto, Tuulau Finnish Meteorological Institute4 aut |
700 | 1 | a Aurela, Mikau Finnish Meteorological Institute4 aut |
700 | 1 | a Baldocchi, Dennisu University of California, Berkeley4 aut |
700 | 1 | a Biasi, Christinau University of Eastern Finland4 aut |
700 | 1 | a Boike, Juliau Alfred-Wegener Institute, Helmholtz Center for Polar and Marine Research, Bremerhaven,Humboldt University of Berlin,Met Office4 aut |
700 | 1 | a Burke, Eleanor J.u Met Office4 aut |
700 | 1 | a Comyn-Platt, Edwardu European Centre for Medium-range Weather Forecasts4 aut |
700 | 1 | a Dolman, A. Johannesu Vrije Universiteit Amsterdam4 aut |
700 | 1 | a Duran-Rojas, Carolinau University of Exeter4 aut |
700 | 1 | a Fan, Yuanchaou Bjerknes Centre for Climate Research,Harvard University4 aut |
700 | 1 | a Friborg, Thomasu University of Copenhagen4 aut |
700 | 1 | a Gao, Yaou Finnish Meteorological Institute4 aut |
700 | 1 | a Gedney, Nicolau Met Office4 aut |
700 | 1 | a Göckede, Mathiasu Max Planck Institute for Biogeochemistry4 aut |
700 | 1 | a Hayman, Garry D.u Centre for Ecology & Hydrology, Wallingford4 aut |
700 | 1 | a Holl, Davidu University of Hamburg4 aut |
700 | 1 | a Hugelius, Gustafu Stockholms universitet,Stockholm University,Institutionen för naturgeografi4 aut0 (Swepub:su)chuge |
700 | 1 | a Kutzbach, Larsu University of Hamburg4 aut |
700 | 1 | a Lee, Hannau Bjerknes Centre for Climate Research4 aut |
700 | 1 | a Lohila, Annaleau Finnish Meteorological Institute,University of Helsinki4 aut |
700 | 1 | a Parmentier, Frans Jan W.u Lund University,Lunds universitet,MERGE: ModElling the Regional and Global Earth system,Centrum för miljö- och klimatvetenskap (CEC),Naturvetenskapliga fakulteten,Institutionen för naturgeografi och ekosystemvetenskap,Centre for Environmental and Climate Science (CEC),Faculty of Science,Dept of Physical Geography and Ecosystem Science,University of Oslo4 aut0 (Swepub:lu)nate-fpm |
700 | 1 | a Sachs, Torstenu GFZ German Research Centre for Geosciences4 aut |
700 | 1 | a Shurpali, Narasinha J.u Natural Resources Institute Finland (Luke)4 aut |
700 | 1 | a Westermann, Sebastianu University of Oslo4 aut |
710 | 2 | a University of Exeterb Finnish Meteorological Institute4 org |
773 | 0 | t Global Biogeochemical Cyclesg 34:11q 34:11x 0886-6236x 1944-9224 |
856 | 4 | u http://dx.doi.org/10.1029/2020GB006678x freey FULLTEXT |
856 | 4 | u https://doi.org/10.1029/2020GB006678y Fulltext |
856 | 4 8 | u https://lup.lub.lu.se/record/12ac5c56-5d8b-410b-8781-b7217592ad22 |
856 | 4 8 | u https://doi.org/10.1029/2020GB006678 |
856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-188881 |
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