Methane distribution patterns along a transect of Lake Fuxian, a deep oligotrophic lake in China
Abstract Freshwater ecosystems are recognized as one of the important natural methane ($ CH_{4} $) sources, but little is known about the emission hotspots and the effects of algal blooms on $ CH_{4} $ production in deep lakes. In this study, carried out from the littoral (S1), pelagic (S2-S4), and...
Ausführliche Beschreibung
Autor*in: |
Li, Biao [verfasserIn] |
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Sprache: |
Englisch |
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2019 |
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Anmerkung: |
© Springer-Verlag GmbH Germany, part of Springer Nature 2019 |
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Übergeordnetes Werk: |
Enthalten in: Environmental science and pollution research - Springer Berlin Heidelberg, 1994, 27(2019), 21 vom: 08. Aug., Seite 25848-25860 |
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Übergeordnetes Werk: |
volume:27 ; year:2019 ; number:21 ; day:08 ; month:08 ; pages:25848-25860 |
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DOI / URN: |
10.1007/s11356-019-06098-7 |
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Katalog-ID: |
OLC2040589767 |
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520 | |a Abstract Freshwater ecosystems are recognized as one of the important natural methane ($ CH_{4} $) sources, but little is known about the emission hotspots and the effects of algal blooms on $ CH_{4} $ production in deep lakes. In this study, carried out from the littoral (S1), pelagic (S2-S4), and the deepest site (S5), water samples from different depths and sediment cores were collected along the transect of Lake Fuxian, a deep monomictic lake to investigate the spatial–temporal variations of $ CH_{4} $. Dissolved methane concentration observed at the oxic metalimnion was 37.5% and 19.5% higher than that those observed at the epilimnion and at the layer between 80 and 100 m depth, respectively. During the overturn period, the vertical distribution of $ CH_{4} $ in the water column was uniform, with an average concentration of 0.031 ± 0.007 μM in S2–S5. Statistical analysis indicated that the $ CH_{4} $ concentration in the water column was significantly higher in S1 than other sites along the transect during both sampling periods. Sediment $ CH_{4} $ concentration and methane production potential (MPP) were also significantly higher in S1 than in other sites. Along the sediment depth, the maximum MPP was observed at 6–8 cm in S1, but it moved up to the surface layer in S2–S5 in both sampling periods. In addition, stable carbon isotope analysis indicated that the surface sediments in the pelagic zone (S2–S5) mainly comprised autochthonous organic matters. In this zone, MPP had a significantly positive correlation with sediment total organic carbon (TOC) (R2 = 0.401, p < 0.01). In summary, we described the spatial and temporal distributions of $ CH_{4} $ in deep Lake Fuxian, littoral zones are $ CH_{4} $ emission hotspots that can contribute to the $ CH_{4} $ accumulation in the oxic metalimnion layer during the stratification period. In the pelagic zone, autochthonous organic matter was transported into the surface sediment after a massive algal bloom, representing another hotspot for $ CH_{4} $ production. | ||
650 | 4 | |a Methane | |
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700 | 1 | |a Gu, Qiujin |4 aut | |
700 | 1 | |a Miao, Yuqing |4 aut | |
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700 | 1 | |a Xing, Peng |0 (orcid)0000-0002-4917-5181 |4 aut | |
700 | 1 | |a Wu, Qinglong L. |4 aut | |
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10.1007/s11356-019-06098-7 doi (DE-627)OLC2040589767 (DE-He213)s11356-019-06098-7-p DE-627 ger DE-627 rakwb eng 570 360 333.7 VZ 690 333.7 540 VZ BIODIV DE-30 fid Li, Biao verfasserin aut Methane distribution patterns along a transect of Lake Fuxian, a deep oligotrophic lake in China 2019 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2019 Abstract Freshwater ecosystems are recognized as one of the important natural methane ($ CH_{4} $) sources, but little is known about the emission hotspots and the effects of algal blooms on $ CH_{4} $ production in deep lakes. In this study, carried out from the littoral (S1), pelagic (S2-S4), and the deepest site (S5), water samples from different depths and sediment cores were collected along the transect of Lake Fuxian, a deep monomictic lake to investigate the spatial–temporal variations of $ CH_{4} $. Dissolved methane concentration observed at the oxic metalimnion was 37.5% and 19.5% higher than that those observed at the epilimnion and at the layer between 80 and 100 m depth, respectively. During the overturn period, the vertical distribution of $ CH_{4} $ in the water column was uniform, with an average concentration of 0.031 ± 0.007 μM in S2–S5. Statistical analysis indicated that the $ CH_{4} $ concentration in the water column was significantly higher in S1 than other sites along the transect during both sampling periods. Sediment $ CH_{4} $ concentration and methane production potential (MPP) were also significantly higher in S1 than in other sites. Along the sediment depth, the maximum MPP was observed at 6–8 cm in S1, but it moved up to the surface layer in S2–S5 in both sampling periods. In addition, stable carbon isotope analysis indicated that the surface sediments in the pelagic zone (S2–S5) mainly comprised autochthonous organic matters. In this zone, MPP had a significantly positive correlation with sediment total organic carbon (TOC) (R2 = 0.401, p < 0.01). In summary, we described the spatial and temporal distributions of $ CH_{4} $ in deep Lake Fuxian, littoral zones are $ CH_{4} $ emission hotspots that can contribute to the $ CH_{4} $ accumulation in the oxic metalimnion layer during the stratification period. In the pelagic zone, autochthonous organic matter was transported into the surface sediment after a massive algal bloom, representing another hotspot for $ CH_{4} $ production. Methane Lake Fuxian Hotspot Littoral zone Stratification Overturn Gu, Qiujin aut Miao, Yuqing aut Luo, Wenlei aut Xing, Peng (orcid)0000-0002-4917-5181 aut Wu, Qinglong L. aut Enthalten in Environmental science and pollution research Springer Berlin Heidelberg, 1994 27(2019), 21 vom: 08. Aug., Seite 25848-25860 (DE-627)171335805 (DE-600)1178791-0 (DE-576)038875101 0944-1344 nnns volume:27 year:2019 number:21 day:08 month:08 pages:25848-25860 https://doi.org/10.1007/s11356-019-06098-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-FOR SSG-OLC-DE-84 GBV_ILN_70 GBV_ILN_252 GBV_ILN_267 GBV_ILN_2018 GBV_ILN_4277 AR 27 2019 21 08 08 25848-25860 |
spelling |
10.1007/s11356-019-06098-7 doi (DE-627)OLC2040589767 (DE-He213)s11356-019-06098-7-p DE-627 ger DE-627 rakwb eng 570 360 333.7 VZ 690 333.7 540 VZ BIODIV DE-30 fid Li, Biao verfasserin aut Methane distribution patterns along a transect of Lake Fuxian, a deep oligotrophic lake in China 2019 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2019 Abstract Freshwater ecosystems are recognized as one of the important natural methane ($ CH_{4} $) sources, but little is known about the emission hotspots and the effects of algal blooms on $ CH_{4} $ production in deep lakes. In this study, carried out from the littoral (S1), pelagic (S2-S4), and the deepest site (S5), water samples from different depths and sediment cores were collected along the transect of Lake Fuxian, a deep monomictic lake to investigate the spatial–temporal variations of $ CH_{4} $. Dissolved methane concentration observed at the oxic metalimnion was 37.5% and 19.5% higher than that those observed at the epilimnion and at the layer between 80 and 100 m depth, respectively. During the overturn period, the vertical distribution of $ CH_{4} $ in the water column was uniform, with an average concentration of 0.031 ± 0.007 μM in S2–S5. Statistical analysis indicated that the $ CH_{4} $ concentration in the water column was significantly higher in S1 than other sites along the transect during both sampling periods. Sediment $ CH_{4} $ concentration and methane production potential (MPP) were also significantly higher in S1 than in other sites. Along the sediment depth, the maximum MPP was observed at 6–8 cm in S1, but it moved up to the surface layer in S2–S5 in both sampling periods. In addition, stable carbon isotope analysis indicated that the surface sediments in the pelagic zone (S2–S5) mainly comprised autochthonous organic matters. In this zone, MPP had a significantly positive correlation with sediment total organic carbon (TOC) (R2 = 0.401, p < 0.01). In summary, we described the spatial and temporal distributions of $ CH_{4} $ in deep Lake Fuxian, littoral zones are $ CH_{4} $ emission hotspots that can contribute to the $ CH_{4} $ accumulation in the oxic metalimnion layer during the stratification period. In the pelagic zone, autochthonous organic matter was transported into the surface sediment after a massive algal bloom, representing another hotspot for $ CH_{4} $ production. Methane Lake Fuxian Hotspot Littoral zone Stratification Overturn Gu, Qiujin aut Miao, Yuqing aut Luo, Wenlei aut Xing, Peng (orcid)0000-0002-4917-5181 aut Wu, Qinglong L. aut Enthalten in Environmental science and pollution research Springer Berlin Heidelberg, 1994 27(2019), 21 vom: 08. Aug., Seite 25848-25860 (DE-627)171335805 (DE-600)1178791-0 (DE-576)038875101 0944-1344 nnns volume:27 year:2019 number:21 day:08 month:08 pages:25848-25860 https://doi.org/10.1007/s11356-019-06098-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-FOR SSG-OLC-DE-84 GBV_ILN_70 GBV_ILN_252 GBV_ILN_267 GBV_ILN_2018 GBV_ILN_4277 AR 27 2019 21 08 08 25848-25860 |
allfields_unstemmed |
10.1007/s11356-019-06098-7 doi (DE-627)OLC2040589767 (DE-He213)s11356-019-06098-7-p DE-627 ger DE-627 rakwb eng 570 360 333.7 VZ 690 333.7 540 VZ BIODIV DE-30 fid Li, Biao verfasserin aut Methane distribution patterns along a transect of Lake Fuxian, a deep oligotrophic lake in China 2019 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2019 Abstract Freshwater ecosystems are recognized as one of the important natural methane ($ CH_{4} $) sources, but little is known about the emission hotspots and the effects of algal blooms on $ CH_{4} $ production in deep lakes. In this study, carried out from the littoral (S1), pelagic (S2-S4), and the deepest site (S5), water samples from different depths and sediment cores were collected along the transect of Lake Fuxian, a deep monomictic lake to investigate the spatial–temporal variations of $ CH_{4} $. Dissolved methane concentration observed at the oxic metalimnion was 37.5% and 19.5% higher than that those observed at the epilimnion and at the layer between 80 and 100 m depth, respectively. During the overturn period, the vertical distribution of $ CH_{4} $ in the water column was uniform, with an average concentration of 0.031 ± 0.007 μM in S2–S5. Statistical analysis indicated that the $ CH_{4} $ concentration in the water column was significantly higher in S1 than other sites along the transect during both sampling periods. Sediment $ CH_{4} $ concentration and methane production potential (MPP) were also significantly higher in S1 than in other sites. Along the sediment depth, the maximum MPP was observed at 6–8 cm in S1, but it moved up to the surface layer in S2–S5 in both sampling periods. In addition, stable carbon isotope analysis indicated that the surface sediments in the pelagic zone (S2–S5) mainly comprised autochthonous organic matters. In this zone, MPP had a significantly positive correlation with sediment total organic carbon (TOC) (R2 = 0.401, p < 0.01). In summary, we described the spatial and temporal distributions of $ CH_{4} $ in deep Lake Fuxian, littoral zones are $ CH_{4} $ emission hotspots that can contribute to the $ CH_{4} $ accumulation in the oxic metalimnion layer during the stratification period. In the pelagic zone, autochthonous organic matter was transported into the surface sediment after a massive algal bloom, representing another hotspot for $ CH_{4} $ production. Methane Lake Fuxian Hotspot Littoral zone Stratification Overturn Gu, Qiujin aut Miao, Yuqing aut Luo, Wenlei aut Xing, Peng (orcid)0000-0002-4917-5181 aut Wu, Qinglong L. aut Enthalten in Environmental science and pollution research Springer Berlin Heidelberg, 1994 27(2019), 21 vom: 08. Aug., Seite 25848-25860 (DE-627)171335805 (DE-600)1178791-0 (DE-576)038875101 0944-1344 nnns volume:27 year:2019 number:21 day:08 month:08 pages:25848-25860 https://doi.org/10.1007/s11356-019-06098-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-FOR SSG-OLC-DE-84 GBV_ILN_70 GBV_ILN_252 GBV_ILN_267 GBV_ILN_2018 GBV_ILN_4277 AR 27 2019 21 08 08 25848-25860 |
allfieldsGer |
10.1007/s11356-019-06098-7 doi (DE-627)OLC2040589767 (DE-He213)s11356-019-06098-7-p DE-627 ger DE-627 rakwb eng 570 360 333.7 VZ 690 333.7 540 VZ BIODIV DE-30 fid Li, Biao verfasserin aut Methane distribution patterns along a transect of Lake Fuxian, a deep oligotrophic lake in China 2019 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2019 Abstract Freshwater ecosystems are recognized as one of the important natural methane ($ CH_{4} $) sources, but little is known about the emission hotspots and the effects of algal blooms on $ CH_{4} $ production in deep lakes. In this study, carried out from the littoral (S1), pelagic (S2-S4), and the deepest site (S5), water samples from different depths and sediment cores were collected along the transect of Lake Fuxian, a deep monomictic lake to investigate the spatial–temporal variations of $ CH_{4} $. Dissolved methane concentration observed at the oxic metalimnion was 37.5% and 19.5% higher than that those observed at the epilimnion and at the layer between 80 and 100 m depth, respectively. During the overturn period, the vertical distribution of $ CH_{4} $ in the water column was uniform, with an average concentration of 0.031 ± 0.007 μM in S2–S5. Statistical analysis indicated that the $ CH_{4} $ concentration in the water column was significantly higher in S1 than other sites along the transect during both sampling periods. Sediment $ CH_{4} $ concentration and methane production potential (MPP) were also significantly higher in S1 than in other sites. Along the sediment depth, the maximum MPP was observed at 6–8 cm in S1, but it moved up to the surface layer in S2–S5 in both sampling periods. In addition, stable carbon isotope analysis indicated that the surface sediments in the pelagic zone (S2–S5) mainly comprised autochthonous organic matters. In this zone, MPP had a significantly positive correlation with sediment total organic carbon (TOC) (R2 = 0.401, p < 0.01). In summary, we described the spatial and temporal distributions of $ CH_{4} $ in deep Lake Fuxian, littoral zones are $ CH_{4} $ emission hotspots that can contribute to the $ CH_{4} $ accumulation in the oxic metalimnion layer during the stratification period. In the pelagic zone, autochthonous organic matter was transported into the surface sediment after a massive algal bloom, representing another hotspot for $ CH_{4} $ production. Methane Lake Fuxian Hotspot Littoral zone Stratification Overturn Gu, Qiujin aut Miao, Yuqing aut Luo, Wenlei aut Xing, Peng (orcid)0000-0002-4917-5181 aut Wu, Qinglong L. aut Enthalten in Environmental science and pollution research Springer Berlin Heidelberg, 1994 27(2019), 21 vom: 08. Aug., Seite 25848-25860 (DE-627)171335805 (DE-600)1178791-0 (DE-576)038875101 0944-1344 nnns volume:27 year:2019 number:21 day:08 month:08 pages:25848-25860 https://doi.org/10.1007/s11356-019-06098-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-FOR SSG-OLC-DE-84 GBV_ILN_70 GBV_ILN_252 GBV_ILN_267 GBV_ILN_2018 GBV_ILN_4277 AR 27 2019 21 08 08 25848-25860 |
allfieldsSound |
10.1007/s11356-019-06098-7 doi (DE-627)OLC2040589767 (DE-He213)s11356-019-06098-7-p DE-627 ger DE-627 rakwb eng 570 360 333.7 VZ 690 333.7 540 VZ BIODIV DE-30 fid Li, Biao verfasserin aut Methane distribution patterns along a transect of Lake Fuxian, a deep oligotrophic lake in China 2019 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2019 Abstract Freshwater ecosystems are recognized as one of the important natural methane ($ CH_{4} $) sources, but little is known about the emission hotspots and the effects of algal blooms on $ CH_{4} $ production in deep lakes. In this study, carried out from the littoral (S1), pelagic (S2-S4), and the deepest site (S5), water samples from different depths and sediment cores were collected along the transect of Lake Fuxian, a deep monomictic lake to investigate the spatial–temporal variations of $ CH_{4} $. Dissolved methane concentration observed at the oxic metalimnion was 37.5% and 19.5% higher than that those observed at the epilimnion and at the layer between 80 and 100 m depth, respectively. During the overturn period, the vertical distribution of $ CH_{4} $ in the water column was uniform, with an average concentration of 0.031 ± 0.007 μM in S2–S5. Statistical analysis indicated that the $ CH_{4} $ concentration in the water column was significantly higher in S1 than other sites along the transect during both sampling periods. Sediment $ CH_{4} $ concentration and methane production potential (MPP) were also significantly higher in S1 than in other sites. Along the sediment depth, the maximum MPP was observed at 6–8 cm in S1, but it moved up to the surface layer in S2–S5 in both sampling periods. In addition, stable carbon isotope analysis indicated that the surface sediments in the pelagic zone (S2–S5) mainly comprised autochthonous organic matters. In this zone, MPP had a significantly positive correlation with sediment total organic carbon (TOC) (R2 = 0.401, p < 0.01). In summary, we described the spatial and temporal distributions of $ CH_{4} $ in deep Lake Fuxian, littoral zones are $ CH_{4} $ emission hotspots that can contribute to the $ CH_{4} $ accumulation in the oxic metalimnion layer during the stratification period. In the pelagic zone, autochthonous organic matter was transported into the surface sediment after a massive algal bloom, representing another hotspot for $ CH_{4} $ production. Methane Lake Fuxian Hotspot Littoral zone Stratification Overturn Gu, Qiujin aut Miao, Yuqing aut Luo, Wenlei aut Xing, Peng (orcid)0000-0002-4917-5181 aut Wu, Qinglong L. aut Enthalten in Environmental science and pollution research Springer Berlin Heidelberg, 1994 27(2019), 21 vom: 08. Aug., Seite 25848-25860 (DE-627)171335805 (DE-600)1178791-0 (DE-576)038875101 0944-1344 nnns volume:27 year:2019 number:21 day:08 month:08 pages:25848-25860 https://doi.org/10.1007/s11356-019-06098-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-FOR SSG-OLC-DE-84 GBV_ILN_70 GBV_ILN_252 GBV_ILN_267 GBV_ILN_2018 GBV_ILN_4277 AR 27 2019 21 08 08 25848-25860 |
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methane distribution patterns along a transect of lake fuxian, a deep oligotrophic lake in china |
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Methane distribution patterns along a transect of Lake Fuxian, a deep oligotrophic lake in China |
abstract |
Abstract Freshwater ecosystems are recognized as one of the important natural methane ($ CH_{4} $) sources, but little is known about the emission hotspots and the effects of algal blooms on $ CH_{4} $ production in deep lakes. In this study, carried out from the littoral (S1), pelagic (S2-S4), and the deepest site (S5), water samples from different depths and sediment cores were collected along the transect of Lake Fuxian, a deep monomictic lake to investigate the spatial–temporal variations of $ CH_{4} $. Dissolved methane concentration observed at the oxic metalimnion was 37.5% and 19.5% higher than that those observed at the epilimnion and at the layer between 80 and 100 m depth, respectively. During the overturn period, the vertical distribution of $ CH_{4} $ in the water column was uniform, with an average concentration of 0.031 ± 0.007 μM in S2–S5. Statistical analysis indicated that the $ CH_{4} $ concentration in the water column was significantly higher in S1 than other sites along the transect during both sampling periods. Sediment $ CH_{4} $ concentration and methane production potential (MPP) were also significantly higher in S1 than in other sites. Along the sediment depth, the maximum MPP was observed at 6–8 cm in S1, but it moved up to the surface layer in S2–S5 in both sampling periods. In addition, stable carbon isotope analysis indicated that the surface sediments in the pelagic zone (S2–S5) mainly comprised autochthonous organic matters. In this zone, MPP had a significantly positive correlation with sediment total organic carbon (TOC) (R2 = 0.401, p < 0.01). In summary, we described the spatial and temporal distributions of $ CH_{4} $ in deep Lake Fuxian, littoral zones are $ CH_{4} $ emission hotspots that can contribute to the $ CH_{4} $ accumulation in the oxic metalimnion layer during the stratification period. In the pelagic zone, autochthonous organic matter was transported into the surface sediment after a massive algal bloom, representing another hotspot for $ CH_{4} $ production. © Springer-Verlag GmbH Germany, part of Springer Nature 2019 |
abstractGer |
Abstract Freshwater ecosystems are recognized as one of the important natural methane ($ CH_{4} $) sources, but little is known about the emission hotspots and the effects of algal blooms on $ CH_{4} $ production in deep lakes. In this study, carried out from the littoral (S1), pelagic (S2-S4), and the deepest site (S5), water samples from different depths and sediment cores were collected along the transect of Lake Fuxian, a deep monomictic lake to investigate the spatial–temporal variations of $ CH_{4} $. Dissolved methane concentration observed at the oxic metalimnion was 37.5% and 19.5% higher than that those observed at the epilimnion and at the layer between 80 and 100 m depth, respectively. During the overturn period, the vertical distribution of $ CH_{4} $ in the water column was uniform, with an average concentration of 0.031 ± 0.007 μM in S2–S5. Statistical analysis indicated that the $ CH_{4} $ concentration in the water column was significantly higher in S1 than other sites along the transect during both sampling periods. Sediment $ CH_{4} $ concentration and methane production potential (MPP) were also significantly higher in S1 than in other sites. Along the sediment depth, the maximum MPP was observed at 6–8 cm in S1, but it moved up to the surface layer in S2–S5 in both sampling periods. In addition, stable carbon isotope analysis indicated that the surface sediments in the pelagic zone (S2–S5) mainly comprised autochthonous organic matters. In this zone, MPP had a significantly positive correlation with sediment total organic carbon (TOC) (R2 = 0.401, p < 0.01). In summary, we described the spatial and temporal distributions of $ CH_{4} $ in deep Lake Fuxian, littoral zones are $ CH_{4} $ emission hotspots that can contribute to the $ CH_{4} $ accumulation in the oxic metalimnion layer during the stratification period. In the pelagic zone, autochthonous organic matter was transported into the surface sediment after a massive algal bloom, representing another hotspot for $ CH_{4} $ production. © Springer-Verlag GmbH Germany, part of Springer Nature 2019 |
abstract_unstemmed |
Abstract Freshwater ecosystems are recognized as one of the important natural methane ($ CH_{4} $) sources, but little is known about the emission hotspots and the effects of algal blooms on $ CH_{4} $ production in deep lakes. In this study, carried out from the littoral (S1), pelagic (S2-S4), and the deepest site (S5), water samples from different depths and sediment cores were collected along the transect of Lake Fuxian, a deep monomictic lake to investigate the spatial–temporal variations of $ CH_{4} $. Dissolved methane concentration observed at the oxic metalimnion was 37.5% and 19.5% higher than that those observed at the epilimnion and at the layer between 80 and 100 m depth, respectively. During the overturn period, the vertical distribution of $ CH_{4} $ in the water column was uniform, with an average concentration of 0.031 ± 0.007 μM in S2–S5. Statistical analysis indicated that the $ CH_{4} $ concentration in the water column was significantly higher in S1 than other sites along the transect during both sampling periods. Sediment $ CH_{4} $ concentration and methane production potential (MPP) were also significantly higher in S1 than in other sites. Along the sediment depth, the maximum MPP was observed at 6–8 cm in S1, but it moved up to the surface layer in S2–S5 in both sampling periods. In addition, stable carbon isotope analysis indicated that the surface sediments in the pelagic zone (S2–S5) mainly comprised autochthonous organic matters. In this zone, MPP had a significantly positive correlation with sediment total organic carbon (TOC) (R2 = 0.401, p < 0.01). In summary, we described the spatial and temporal distributions of $ CH_{4} $ in deep Lake Fuxian, littoral zones are $ CH_{4} $ emission hotspots that can contribute to the $ CH_{4} $ accumulation in the oxic metalimnion layer during the stratification period. In the pelagic zone, autochthonous organic matter was transported into the surface sediment after a massive algal bloom, representing another hotspot for $ CH_{4} $ production. © Springer-Verlag GmbH Germany, part of Springer Nature 2019 |
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Methane distribution patterns along a transect of Lake Fuxian, a deep oligotrophic lake in China |
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Along the sediment depth, the maximum MPP was observed at 6–8 cm in S1, but it moved up to the surface layer in S2–S5 in both sampling periods. In addition, stable carbon isotope analysis indicated that the surface sediments in the pelagic zone (S2–S5) mainly comprised autochthonous organic matters. In this zone, MPP had a significantly positive correlation with sediment total organic carbon (TOC) (R2 = 0.401, p < 0.01). In summary, we described the spatial and temporal distributions of $ CH_{4} $ in deep Lake Fuxian, littoral zones are $ CH_{4} $ emission hotspots that can contribute to the $ CH_{4} $ accumulation in the oxic metalimnion layer during the stratification period. 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Aug., Seite 25848-25860</subfield><subfield code="w">(DE-627)171335805</subfield><subfield code="w">(DE-600)1178791-0</subfield><subfield code="w">(DE-576)038875101</subfield><subfield code="x">0944-1344</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:27</subfield><subfield code="g">year:2019</subfield><subfield code="g">number:21</subfield><subfield code="g">day:08</subfield><subfield code="g">month:08</subfield><subfield code="g">pages:25848-25860</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s11356-019-06098-7</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">FID-BIODIV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-UMW</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-ARC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-TEC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-CHE</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-FOR</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-DE-84</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_252</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_267</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2018</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4277</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">27</subfield><subfield code="j">2019</subfield><subfield code="e">21</subfield><subfield code="b">08</subfield><subfield code="c">08</subfield><subfield code="h">25848-25860</subfield></datafield></record></collection>
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