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Sökning: onr:"swepub:oai:DiVA.org:liu-162136" > Natural lakes are a...

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FältnamnIndikatorerMetadata
00004486naa a2200409 4500
001oai:DiVA.org:liu-162136
003SwePub
008191120s2019 | |||||||||||000 ||eng|
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1621362 URI
0247 a https://doi.org/10.1029/2019GB0062612 DOI
040 a (SwePub)liu
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
1001 a Lauerwald, R.u Université Libre de Bruxelles, Bruxelles, Belgium4 aut
2451 0a Natural lakes are a minor global source of N2O to the atmosphere
264 1b Wiley-Blackwell,c 2019
338 a electronic2 rdacarrier
500 a Funding agencies: European UnionEuropean Union (EU) [776810]; Swedish Research Council VRSwedish Research Council; Swedish Research Council FORMASSwedish Research CouncilSwedish Research Council Formas; European Research Council (ERC Grant)European Research Council (ERC) Accepted version on author's personal web page https://liu.se/dfsmedia/dd35e243dfb7406993c1815aaf88a675/35054-source/options/download/natural-lakes
520 a Natural lakes and reservoirs are important, yet not well constrained sources of greenhouse gasses to the atmosphere. In particular for N2O emissions, a huge variability is observed in the few, observation‐driven flux estimates that have been published so far. Recently, a process‐based, spatially explicit model has been used to estimate global N2O emissions from more than 6,000 reservoirs based on nitrogen (N) and phosphorous inflows and water residence time. Here, we extend the model to a dataset of 1.4 million standing water bodies comprising natural lakes and reservoirs. For validation, we normalized the simulated N2O emissions by the surface area of each water body and compared them against regional averages of N2O emission rates taken from the literature or estimated based on observed N2O concentrations. We estimate that natural lakes and reservoirs together emit 4.5±2.9 Gmol N2O‐N yr‐1 globally. Our global scale estimate falls in the far lower end of existing, observation‐driven estimates. Natural lakes contribute only about half of this flux, although they contribute 91% of the total surface area of standing water bodies. Hence, the mean N2O emission rates per surface area are substantially lower for natural lakes than for reservoirs with 0.8±0.5 mmol N m‐2yr‐1 vs. 9.6±6.0 mmol N m‐2yr‐1, respectively. This finding can be explained by on average lower external N inputs to natural lakes. We conclude that upscaling based estimates, which do not distinguish natural lakes from reservoirs, are prone to important biases.
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 Oceanografi, hydrologi och vattenresurser0 (SwePub)105092 hsv//swe
650 7a NATURAL SCIENCESx Earth and Related Environmental Sciencesx Oceanography, Hydrology and Water Resources0 (SwePub)105092 hsv//eng
7001 a Regnier, P.u Université Libre de Bruxelles, Bruxelles, Belgium4 aut
7001 a Figueiredo, Vu University Federal of Rio de Janeiro, Rio de Janeiro, Brazil4 aut
7001 a Enrich Prast, Alex,d 1972-u Linköpings universitet,Tema Miljöförändring,Filosofiska fakulteten,University Federal of Rio de Janeiro, Rio de Janeiro, Brazil4 aut0 (Swepub:liu)aleen07
7001 a Bastviken, David,d 1971-u Linköpings universitet,Tema Miljöförändring,Filosofiska fakulteten4 aut0 (Swepub:liu)davba48
7001 a Lehner, B.u McGill University, Montreal, Canada4 aut
7001 a Maavara, T.u Lawrence Berkeley National Laboratory, Berkeley, USA4 aut
7001 a Raymond, P.u Yale School of Forestry and Environmental Studies, New Haven, USA4 aut
7102 a Université Libre de Bruxelles, Bruxelles, Belgiumb University Federal of Rio de Janeiro, Rio de Janeiro, Brazil4 org
7730 t Global Biogeochemical Cyclesd : Wiley-Blackwellg 33:12, s. 1564-1581q 33:12<1564-1581x 0886-6236x 1944-9224
8564 u https://liu.diva-portal.org/smash/get/diva2:1371562/FULLTEXT02.pdfx primaryx Raw objecty fulltext:print
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-162136
8564 8u https://doi.org/10.1029/2019GB006261

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