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WFRF:(Shurpali Narasinha J)
 

Sökning: WFRF:(Shurpali Narasinha J) > Modeled Microbial D...

LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00005982naa a2200733 4500
001oai:lup.lub.lu.se:12ac5c56-5d8b-410b-8781-b7217592ad22
003SwePub
008201201s2020 | |||||||||||000 ||eng|
009oai:DiVA.org:su-188881
0247 a https://lup.lub.lu.se/record/12ac5c56-5d8b-410b-8781-b7217592ad222 URI
0247 a https://doi.org/10.1029/2020GB0066782 DOI
0247 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 7a art2 swepub-publicationtype
072 7a ref2 swepub-contenttype
1001 a Chadburn, Sarah E.u University of Exeter4 aut
2451 0a Modeled Microbial Dynamics Explain the Apparent Temperature Sensitivity of Wetland Methane Emissions
264 1c 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 7a NATURVETENSKAPx Geovetenskap och miljövetenskapx Naturgeografi0 (SwePub)105072 hsv//swe
650 7a NATURAL SCIENCESx Earth and Related Environmental Sciencesx Physical Geography0 (SwePub)105072 hsv//eng
650 7a NATURVETENSKAPx Geovetenskap och miljövetenskapx Klimatforskning0 (SwePub)105012 hsv//swe
650 7a NATURAL SCIENCESx Earth and Related Environmental Sciencesx Climate Research0 (SwePub)105012 hsv//eng
650 7a NATURVETENSKAPx Geovetenskap och miljövetenskap0 (SwePub)1052 hsv//swe
650 7a 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
7001 a Aalto, Tuulau Finnish Meteorological Institute4 aut
7001 a Aurela, Mikau Finnish Meteorological Institute4 aut
7001 a Baldocchi, Dennisu University of California, Berkeley4 aut
7001 a Biasi, Christinau University of Eastern Finland4 aut
7001 a Boike, Juliau Alfred-Wegener Institute, Helmholtz Center for Polar and Marine Research, Bremerhaven,Humboldt University of Berlin,Met Office4 aut
7001 a Burke, Eleanor J.u Met Office4 aut
7001 a Comyn-Platt, Edwardu European Centre for Medium-range Weather Forecasts4 aut
7001 a Dolman, A. Johannesu Vrije Universiteit Amsterdam4 aut
7001 a Duran-Rojas, Carolinau University of Exeter4 aut
7001 a Fan, Yuanchaou Bjerknes Centre for Climate Research,Harvard University4 aut
7001 a Friborg, Thomasu University of Copenhagen4 aut
7001 a Gao, Yaou Finnish Meteorological Institute4 aut
7001 a Gedney, Nicolau Met Office4 aut
7001 a Göckede, Mathiasu Max Planck Institute for Biogeochemistry4 aut
7001 a Hayman, Garry D.u Centre for Ecology & Hydrology, Wallingford4 aut
7001 a Holl, Davidu University of Hamburg4 aut
7001 a Hugelius, Gustafu Stockholms universitet,Stockholm University,Institutionen för naturgeografi4 aut0 (Swepub:su)chuge
7001 a Kutzbach, Larsu University of Hamburg4 aut
7001 a Lee, Hannau Bjerknes Centre for Climate Research4 aut
7001 a Lohila, Annaleau Finnish Meteorological Institute,University of Helsinki4 aut
7001 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
7001 a Sachs, Torstenu GFZ German Research Centre for Geosciences4 aut
7001 a Shurpali, Narasinha J.u Natural Resources Institute Finland (Luke)4 aut
7001 a Westermann, Sebastianu University of Oslo4 aut
7102 a University of Exeterb Finnish Meteorological Institute4 org
7730 t Global Biogeochemical Cyclesg 34:11q 34:11x 0886-6236x 1944-9224
8564 u http://dx.doi.org/10.1029/2020GB006678x freey FULLTEXT
8564 u https://doi.org/10.1029/2020GB006678y Fulltext
8564 8u https://lup.lub.lu.se/record/12ac5c56-5d8b-410b-8781-b7217592ad22
8564 8u https://doi.org/10.1029/2020GB006678
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-188881

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