Reconciliation of top-down and bottom-up CO2 fluxes in Siberian larch forest
Carbon dioxide (CO _2 ) fluxes by different methods vary largely at global, regional and local scales. The net CO _2 fluxes by three bottom-up methods (tower observation (TWR), biogeochemical models (GTM), and a data-driven model (SVR)), and an ensemble of atmospheric inversions (top-down method, IN...
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IOP Publishing
2017-01-01
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| Series: | Environmental Research Letters |
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| Online Access: | https://doi.org/10.1088/1748-9326/aa926d |
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| author | Kumiko Takata Prabir K Patra Ayumi Kotani Junko Mori Dmitry Belikov Kazuhito Ichii Tazu Saeki Takeshi Ohta Kazuyuki Saito Masahito Ueyama Akihiko Ito Shamil Maksyutov Shin Miyazaki Eleanor J Burke Alexander Ganshin Yoshihiro Iijima Takeshi Ise Hirokazu Machiya Trofim C Maximov Yosuke Niwa Ryo’ta O’ishi Hotaek Park Takahiro Sasai Hisashi Sato Shunsuke Tei Ruslan Zhuravlev Toshinobu Machida Atsuko Sugimoto Shuji Aoki |
| author_facet | Kumiko Takata Prabir K Patra Ayumi Kotani Junko Mori Dmitry Belikov Kazuhito Ichii Tazu Saeki Takeshi Ohta Kazuyuki Saito Masahito Ueyama Akihiko Ito Shamil Maksyutov Shin Miyazaki Eleanor J Burke Alexander Ganshin Yoshihiro Iijima Takeshi Ise Hirokazu Machiya Trofim C Maximov Yosuke Niwa Ryo’ta O’ishi Hotaek Park Takahiro Sasai Hisashi Sato Shunsuke Tei Ruslan Zhuravlev Toshinobu Machida Atsuko Sugimoto Shuji Aoki |
| author_sort | Kumiko Takata |
| collection | DOAJ |
| description | Carbon dioxide (CO _2 ) fluxes by different methods vary largely at global, regional and local scales. The net CO _2 fluxes by three bottom-up methods (tower observation (TWR), biogeochemical models (GTM), and a data-driven model (SVR)), and an ensemble of atmospheric inversions (top-down method, INV) are compared in Yakutsk, Siberia for 2004–2013. The region is characterized by highly homogeneous larch forest on a flat terrain. The ecosystem around Yakutsk shows a net sink of CO _2 by all the methods (means during 2004–2007 were 10.9 g C m ^−2 month ^−1 by TWR, 4.28 g C m ^−2 month ^−1 by GTM, 5.62 g C m ^−2 month ^−1 and 0.863 g C m ^−2 month ^−1 by SVR at two different scales, and 4.89 g C m ^−2 month ^−1 by INV). Absorption in summer (June–August) was smaller by three bottom-up methods (ranged from 88.1 to 191.8 g C m ^−2 month ^−1 ) than the top-down method (223.6 g C m ^−2 month ^−1 ). Thus the peak-to-trough amplitude of the seasonal cycle is greater for the inverse models than bottom-up methods. The monthly-mean seasonal cycles agree among the four methods within the range of inter-model variations. The interannual variability estimated by an ensemble of inverse models and a site-scale data-driven model (the max-min range was 35.8 g C m ^−2 month ^−1 and 34.2 g C m ^−2 month ^−1 ) is more similar to that of the tower observation (42.4 g C m ^−2 month ^−1 ) than those by the biogeochemical models and the large-scale data-driven model (9.5 g C m ^−2 month ^−1 and 1.45 g C m ^−2 month ^−1 ). The inverse models and tower observations captured a reduction in CO _2 uptake after 2008 due to unusual waterlogging. |
| first_indexed | 2024-03-12T16:00:34Z |
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| issn | 1748-9326 |
| language | English |
| last_indexed | 2024-03-12T16:00:34Z |
| publishDate | 2017-01-01 |
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| series | Environmental Research Letters |
| spelling | doaj.art-5d10d2c878fa41139e6562ab91ccdf232023-08-09T14:38:06ZengIOP PublishingEnvironmental Research Letters1748-93262017-01-01121212501210.1088/1748-9326/aa926dReconciliation of top-down and bottom-up CO2 fluxes in Siberian larch forestKumiko Takata0https://orcid.org/0000-0003-4622-8927Prabir K Patra1https://orcid.org/0000-0001-5700-9389Ayumi Kotani2Junko Mori3Dmitry Belikov4Kazuhito Ichii5Tazu Saeki6Takeshi Ohta7Kazuyuki Saito8Masahito Ueyama9Akihiko Ito10Shamil Maksyutov11https://orcid.org/0000-0002-1200-9577Shin Miyazaki12Eleanor J Burke13https://orcid.org/0000-0002-2158-141XAlexander Ganshin14Yoshihiro Iijima15Takeshi Ise16Hirokazu Machiya17Trofim C Maximov18Yosuke Niwa19Ryo’ta O’ishi20Hotaek Park21Takahiro Sasai22Hisashi Sato23Shunsuke Tei24Ruslan Zhuravlev25Toshinobu Machida26Atsuko Sugimoto27Shuji Aoki28National Institute of Polar Research , Tachikawa, Tokyo, Japan; National Institute for Environmental Studies , Tsukuba, Ibaraki, Japan; Author to whom any correspondence should be addressed.Japan Agency for Marine-Earth Science and Technology , Yokohama, Kanagawa, JapanGraduate School of Bioagricultural Sciences, Nagoya University , Nagoya, Aichi, JapanNational Institute of Polar Research , Tachikawa, Tokyo, Japan; Japan Agency for Marine-Earth Science and Technology , Yokohama, Kanagawa, Japan; Present affiliation: Chuo University/Toyo University , Tokyo, JapanNational Institute of Polar Research , Tachikawa, Tokyo, Japan; National Institute for Environmental Studies , Tsukuba, Ibaraki, Japan; Tomsk State University , Tomsk, Russia; Present affiliation: Hokkaido University , Sapporo, Hokkaido, JapanNational Institute for Environmental Studies , Tsukuba, Ibaraki, Japan; Japan Agency for Marine-Earth Science and Technology , Yokohama, Kanagawa, Japan; Center for Environmental Remote Sensing, Chiba University , Chiba, JapanJapan Agency for Marine-Earth Science and Technology , Yokohama, Kanagawa, Japan; Present affiliation: National Institute for Environmental Studies , JapanGraduate School of Bioagricultural Sciences, Nagoya University , Nagoya, Aichi, JapanJapan Agency for Marine-Earth Science and Technology , Yokohama, Kanagawa, JapanGraduate School of Life and Environmental Sciences, Osaka Prefecture University , Sasai, Osaka, JapanNational Institute for Environmental Studies , Tsukuba, Ibaraki, JapanNational Institute for Environmental Studies , Tsukuba, Ibaraki, JapanNational Institute of Polar Research , Tachikawa, Tokyo, Japan; Japan Agency for Marine-Earth Science and Technology , Yokohama, Kanagawa, Japan; Present affiliation: Sonic Co. , Tokyo, JapanHadley Center, UKMO , Exeter, Devon, United KingdomCentral Aerological Observatory , Dolgoprydny, Moscow reg., Russia; Tomsk State University , Tomsk, RussiaMie University , Tsu, Mie, JapanField Science Education and Research Center, Kyoto University , Kyoto, JapanJapan Agency for Marine-Earth Science and Technology , Yokohama, Kanagawa, JapanInstitute for Biological Problems of Cryolithozone, Siberian Branch of Russian Academy of Science , Yakutsk, Sakha Republic , RussiaMeteorological Research Institute , Tsukuba, Ibaraki, JapanAtmosphere and Ocean Research Institute, University of Tokyo , Tokyo, JapanJapan Agency for Marine-Earth Science and Technology , Yokohama, Kanagawa, JapanTohoku University , Sendai, Miyagi, JapanJapan Agency for Marine-Earth Science and Technology , Yokohama, Kanagawa, JapanHokkaido University , Sapporo, Hokkaido, JapanCentral Aerological Observatory , Dolgoprydny, Moscow reg., Russia; Institute of Applied Physics, Russian Academy of Science , Nizhny Novgorod, RussiaNational Institute for Environmental Studies , Tsukuba, Ibaraki, JapanHokkaido University , Sapporo, Hokkaido, JapanTohoku University , Sendai, Miyagi, JapanCarbon dioxide (CO _2 ) fluxes by different methods vary largely at global, regional and local scales. The net CO _2 fluxes by three bottom-up methods (tower observation (TWR), biogeochemical models (GTM), and a data-driven model (SVR)), and an ensemble of atmospheric inversions (top-down method, INV) are compared in Yakutsk, Siberia for 2004–2013. The region is characterized by highly homogeneous larch forest on a flat terrain. The ecosystem around Yakutsk shows a net sink of CO _2 by all the methods (means during 2004–2007 were 10.9 g C m ^−2 month ^−1 by TWR, 4.28 g C m ^−2 month ^−1 by GTM, 5.62 g C m ^−2 month ^−1 and 0.863 g C m ^−2 month ^−1 by SVR at two different scales, and 4.89 g C m ^−2 month ^−1 by INV). Absorption in summer (June–August) was smaller by three bottom-up methods (ranged from 88.1 to 191.8 g C m ^−2 month ^−1 ) than the top-down method (223.6 g C m ^−2 month ^−1 ). Thus the peak-to-trough amplitude of the seasonal cycle is greater for the inverse models than bottom-up methods. The monthly-mean seasonal cycles agree among the four methods within the range of inter-model variations. The interannual variability estimated by an ensemble of inverse models and a site-scale data-driven model (the max-min range was 35.8 g C m ^−2 month ^−1 and 34.2 g C m ^−2 month ^−1 ) is more similar to that of the tower observation (42.4 g C m ^−2 month ^−1 ) than those by the biogeochemical models and the large-scale data-driven model (9.5 g C m ^−2 month ^−1 and 1.45 g C m ^−2 month ^−1 ). The inverse models and tower observations captured a reduction in CO _2 uptake after 2008 due to unusual waterlogging.https://doi.org/10.1088/1748-9326/aa926dnet CO2 fluxmulti method comparisonSiberian larch forestseasonal cycleinterannual variation |
| spellingShingle | Kumiko Takata Prabir K Patra Ayumi Kotani Junko Mori Dmitry Belikov Kazuhito Ichii Tazu Saeki Takeshi Ohta Kazuyuki Saito Masahito Ueyama Akihiko Ito Shamil Maksyutov Shin Miyazaki Eleanor J Burke Alexander Ganshin Yoshihiro Iijima Takeshi Ise Hirokazu Machiya Trofim C Maximov Yosuke Niwa Ryo’ta O’ishi Hotaek Park Takahiro Sasai Hisashi Sato Shunsuke Tei Ruslan Zhuravlev Toshinobu Machida Atsuko Sugimoto Shuji Aoki Reconciliation of top-down and bottom-up CO2 fluxes in Siberian larch forest Environmental Research Letters net CO2 flux multi method comparison Siberian larch forest seasonal cycle interannual variation |
| title | Reconciliation of top-down and bottom-up CO2 fluxes in Siberian larch forest |
| title_full | Reconciliation of top-down and bottom-up CO2 fluxes in Siberian larch forest |
| title_fullStr | Reconciliation of top-down and bottom-up CO2 fluxes in Siberian larch forest |
| title_full_unstemmed | Reconciliation of top-down and bottom-up CO2 fluxes in Siberian larch forest |
| title_short | Reconciliation of top-down and bottom-up CO2 fluxes in Siberian larch forest |
| title_sort | reconciliation of top down and bottom up co2 fluxes in siberian larch forest |
| topic | net CO2 flux multi method comparison Siberian larch forest seasonal cycle interannual variation |
| url | https://doi.org/10.1088/1748-9326/aa926d |
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