Sökning: onr:"swepub:oai:DiVA.org:uu-486964" > Causality guided ma...
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000 | 07107naa a2200769 4500 | |
001 | oai:DiVA.org:uu-486964 | |
003 | SwePub | |
008 | 221025s2022 | |||||||||||000 ||eng| | |
024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-4869642 URI |
024 | 7 | a https://doi.org/10.1016/j.agrformet.2022.1091152 DOI |
040 | a (SwePub)uu | |
041 | a engb eng | |
042 | 9 SwePub | |
072 | 7 | a ref2 swepub-contenttype |
072 | 7 | a art2 swepub-publicationtype |
100 | 1 | a Yuan, Kunxiaojiau Lawrence Berkeley Natl Lab, Climate Sci Dept, Climate & Ecosyst Sci Div, Berkeley, CA 94720 USA.4 aut |
245 | 1 0 | a Causality guided machine learning model on wetland CH4 emissions across global wetlands |
264 | 1 | b Elsevier,c 2022 |
338 | a print2 rdacarrier | |
520 | a Wetland CH4 emissions are among the most uncertain components of the global CH4 budget. The complex nature of wetland CH4 processes makes it challenging to identify causal relationships for improving our understanding and predictability of CH4 emissions. In this study, we used the flux measurements of CH4 from eddy covariance towers (30 sites from 4 wetlands types: bog, fen, marsh, and wet tundra) to construct a causality-constrained machine learning (ML) framework to explain the regulative factors and to capture CH4 emissions at sub -seasonal scale. We found that soil temperature is the dominant factor for CH4 emissions in all studied wetland types. Ecosystem respiration (CO2) and gross primary productivity exert controls at bog, fen, and marsh sites with lagged responses of days to weeks. Integrating these asynchronous environmental and biological causal relationships in predictive models significantly improved model performance. More importantly, modeled CH4 emissions differed by up to a factor of 4 under a +1C warming scenario when causality constraints were considered. These results highlight the significant role of causality in modeling wetland CH(4 )emissions especially under future warming conditions, while traditional data-driven ML models may reproduce observations for the wrong reasons. Our proposed causality-guided model could benefit predictive modeling, large-scale upscaling, data gap-filling, and surrogate modeling of wetland CH4 emissions within earth system land models. | |
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 |
653 | a Eddy covariance CH4 emission | |
653 | a Wetlands | |
653 | a Causal inference | |
653 | a Machine learning | |
700 | 1 | a Zhu, Qingu Lawrence Berkeley Natl Lab, Climate Sci Dept, Climate & Ecosyst Sci Div, Berkeley, CA 94720 USA.4 aut |
700 | 1 | a Li, Fau Lawrence Berkeley Natl Lab, Climate Sci Dept, Climate & Ecosyst Sci Div, Berkeley, CA 94720 USA.;Univ Wisconsin Madison, Dept Forest & Wildlife Ecol, Madison, WI USA.4 aut |
700 | 1 | a Riley, William J.u Lawrence Berkeley Natl Lab, Climate Sci Dept, Climate & Ecosyst Sci Div, Berkeley, CA 94720 USA.4 aut |
700 | 1 | a Torn, Margaretu Lawrence Berkeley Natl Lab, Climate Sci Dept, Climate & Ecosyst Sci Div, Berkeley, CA 94720 USA.4 aut |
700 | 1 | a Chu, Housenu Lawrence Berkeley Natl Lab, Climate Sci Dept, Climate & Ecosyst Sci Div, Berkeley, CA 94720 USA.4 aut |
700 | 1 | a McNicol, Gavinu Univ Illinois, Dept Earth & Environm Sci, Chicago, IL USA.4 aut |
700 | 1 | a Chen, Minu Univ Wisconsin Madison, Dept Forest & Wildlife Ecol, Madison, WI USA.4 aut |
700 | 1 | a Knox, Sarau Univ British Columbia, Dept Geog, Vancouver, BC, Canada.4 aut |
700 | 1 | a Delwiche, Kyleu Univ Calif Berkeley, Dept Environm Sci Policy & Management, Berkeley, CA USA.4 aut |
700 | 1 | a Wu, Huayiu Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & Re, Wuhan, Peoples R China.4 aut |
700 | 1 | a Baldocchi, Dennisu Univ Calif Berkeley, Dept Environm Sci Policy & Management, Berkeley, CA USA.4 aut |
700 | 1 | a Ma, Hongxuu Univ Calif Berkeley, Dept Geog, Berkeley, CA USA.4 aut |
700 | 1 | a Desai, Ankur R.u Univ Wisconsin Madison, Dept Atmospher & Ocean Sci, Madison, WI USA.4 aut |
700 | 1 | a Chen, Jiquanu Michigan State Univ, Dept Geog Environm & Spatial Sci, E Lansing, MI USA.4 aut |
700 | 1 | a Sachs, Torstenu GFZ German Res Ctr Geosci, Potsdam, Germany.4 aut |
700 | 1 | a Ueyama, Masahitou Osaka Prefecture Univ, Grad Sch Life & Environm Sci, Sakai, Japan.4 aut |
700 | 1 | a Sonnentag, Oliveru Univ Montreal, Dept Geog, Montreal, PQ, Canada.4 aut |
700 | 1 | a Helbig, Manuelu Dalhousie Univ, Dept Phys & Atmospher Sci, Halifax, NS, Canada.4 aut |
700 | 1 | a Tuittila, Eeva-Stiinau Univ Eastern Finland, Sch Forest Sci, Joesnuu, Finland.4 aut |
700 | 1 | a Jurasinski, Geraldu Univ Rostock, Landscape Ecol, Rostock, Germany.4 aut |
700 | 1 | a Koebsch, Franziskau Univ Gottingen, Digital Forest, Gottingen, Germany.4 aut |
700 | 1 | a Campbell, Davidu Univ Waikato, Sch Sci, Hamilton, New Zealand.4 aut |
700 | 1 | a Schmid, Hans Peteru Karlsruhe Inst Technol, Inst Meteorol & Climate Res, Karlsruhe, Germany.4 aut |
700 | 1 | a Lohila, Annaleau Univ Helsinki, Inst Atmospher & Earth Syst Res Forest Sci, Helsinki, Finland.4 aut |
700 | 1 | a Goeckede, Mathiasu Max Planck Inst Biogeochem, Dept Biogeochem Signals, Jena, Germany.4 aut |
700 | 1 | a Nilsson, Mats B.u Swedish Univ Agr Sci, Dept Forest Ecol & Management, Umeå, Sweden.4 aut |
700 | 1 | a Friborg, Thomasu Univ Copenhagen, Dept Geosci & Nat Resource Management, Copenhagen, Denmark.4 aut |
700 | 1 | a Jansen, Joachim,d 1989-u Uppsala universitet,Institutionen för ekologi och genetik4 aut0 (Swepub:uu)joaja327 |
700 | 1 | a Zona, Donatellau San Diego State Univ, Dept Biol, San Diego, CA USA.4 aut |
700 | 1 | a Euskirchen, Eugenieu Univ Alaska Fairbanks, Inst Arctic Biol, Fairbanks, AK USA.4 aut |
700 | 1 | a Ward, Eric J.u US Geol Survey, Wetland & Aquat Res Ctr, Lafayette, LA USA.4 aut |
700 | 1 | a Bohrer, Gilu Ohio State Univ, Dept Civil Environm & Geodet Engn, Columbus, OH USA.4 aut |
700 | 1 | a Jin, Zhenongu Univ Minnesota, Dept Bioprod & Biosyst Engn, St Paul, MN USA.4 aut |
700 | 1 | a Liu, Lichengu Univ Minnesota, Dept Bioprod & Biosyst Engn, St Paul, MN USA.4 aut |
700 | 1 | a Iwata, Hirokiu Shinshu Univ, Fac Sci, Dept Environm Sci, Matsumoto, Japan.4 aut |
700 | 1 | a Goodrich, Jordanu Univ Waikato, Sch Sci, Hamilton, New Zealand.4 aut |
700 | 1 | a Jackson, Robertu Stanford Univ, Dept Earth Syst Sci, Stanford, CA USA.4 aut |
710 | 2 | a Lawrence Berkeley Natl Lab, Climate Sci Dept, Climate & Ecosyst Sci Div, Berkeley, CA 94720 USA.b Lawrence Berkeley Natl Lab, Climate Sci Dept, Climate & Ecosyst Sci Div, Berkeley, CA 94720 USA.;Univ Wisconsin Madison, Dept Forest & Wildlife Ecol, Madison, WI USA.4 org |
773 | 0 | t Agricultural and Forest Meteorologyd : Elsevierg 324q 324x 0168-1923x 1873-2240 |
856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-486964 |
856 | 4 8 | u https://doi.org/10.1016/j.agrformet.2022.109115 |
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