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
Gespeichert in:
| Autor*in: |
Li, Biao [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2019 |
|---|
| Schlagwörter: |
|---|
| Anmerkung: |
© Springer-Verlag GmbH Germany, part of Springer Nature 2019 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Environmental science and pollution research - Springer Berlin Heidelberg, 1994, 27(2019), 21 vom: 08. Aug., Seite 25848-25860 |
|---|---|
| Übergeordnetes Werk: |
volume:27 ; year:2019 ; number:21 ; day:08 ; month:08 ; pages:25848-25860 |
| Links: |
|---|
| DOI / URN: |
10.1007/s11356-019-06098-7 |
|---|
| Katalog-ID: |
OLC2040589767 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | OLC2040589767 | ||
| 003 | DE-627 | ||
| 005 | 20230606195134.0 | ||
| 007 | tu | ||
| 008 | 200820s2019 xx ||||| 00| ||eng c | ||
| 024 | 7 | |a 10.1007/s11356-019-06098-7 |2 doi | |
| 035 | |a (DE-627)OLC2040589767 | ||
| 035 | |a (DE-He213)s11356-019-06098-7-p | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 570 |a 360 |a 333.7 |q VZ |
| 082 | 0 | 4 | |a 690 |a 333.7 |a 540 |q VZ |
| 084 | |a BIODIV |q DE-30 |2 fid | ||
| 100 | 1 | |a Li, Biao |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Methane distribution patterns along a transect of Lake Fuxian, a deep oligotrophic lake in China |
| 264 | 1 | |c 2019 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ohne Hilfsmittel zu benutzen |b n |2 rdamedia | ||
| 338 | |a Band |b nc |2 rdacarrier | ||
| 500 | |a © Springer-Verlag GmbH Germany, part of Springer Nature 2019 | ||
| 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 | |
| 650 | 4 | |a Lake Fuxian | |
| 650 | 4 | |a Hotspot | |
| 650 | 4 | |a Littoral zone | |
| 650 | 4 | |a Stratification | |
| 650 | 4 | |a Overturn | |
| 700 | 1 | |a Gu, Qiujin |4 aut | |
| 700 | 1 | |a Miao, Yuqing |4 aut | |
| 700 | 1 | |a Luo, Wenlei |4 aut | |
| 700 | 1 | |a Xing, Peng |0 (orcid)0000-0002-4917-5181 |4 aut | |
| 700 | 1 | |a Wu, Qinglong L. |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Environmental science and pollution research |d Springer Berlin Heidelberg, 1994 |g 27(2019), 21 vom: 08. Aug., Seite 25848-25860 |w (DE-627)171335805 |w (DE-600)1178791-0 |w (DE-576)038875101 |x 0944-1344 |7 nnns |
| 773 | 1 | 8 | |g volume:27 |g year:2019 |g number:21 |g day:08 |g month:08 |g pages:25848-25860 |
| 856 | 4 | 1 | |u https://doi.org/10.1007/s11356-019-06098-7 |z lizenzpflichtig |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a SYSFLAG_A | ||
| 912 | |a GBV_OLC | ||
| 912 | |a FID-BIODIV | ||
| 912 | |a SSG-OLC-UMW | ||
| 912 | |a SSG-OLC-ARC | ||
| 912 | |a SSG-OLC-TEC | ||
| 912 | |a SSG-OLC-CHE | ||
| 912 | |a SSG-OLC-FOR | ||
| 912 | |a SSG-OLC-DE-84 | ||
| 912 | |a GBV_ILN_70 | ||
| 912 | |a GBV_ILN_252 | ||
| 912 | |a GBV_ILN_267 | ||
| 912 | |a GBV_ILN_2018 | ||
| 912 | |a GBV_ILN_4277 | ||
| 951 | |a AR | ||
| 952 | |d 27 |j 2019 |e 21 |b 08 |c 08 |h 25848-25860 | ||
| author_variant |
b l bl q g qg y m ym w l wl p x px q l w ql qlw |
|---|---|
| matchkey_str |
article:09441344:2019----::ehndsrbtoptenaogtascolkfxaaepl |
| hierarchy_sort_str |
2019 |
| publishDate |
2019 |
| allfields |
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 |
| language |
English |
| source |
Enthalten in Environmental science and pollution research 27(2019), 21 vom: 08. Aug., Seite 25848-25860 volume:27 year:2019 number:21 day:08 month:08 pages:25848-25860 |
| sourceStr |
Enthalten in Environmental science and pollution research 27(2019), 21 vom: 08. Aug., Seite 25848-25860 volume:27 year:2019 number:21 day:08 month:08 pages:25848-25860 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| topic_facet |
Methane Lake Fuxian Hotspot Littoral zone Stratification Overturn |
| dewey-raw |
570 |
| isfreeaccess_bool |
false |
| container_title |
Environmental science and pollution research |
| authorswithroles_txt_mv |
Li, Biao @@aut@@ Gu, Qiujin @@aut@@ Miao, Yuqing @@aut@@ Luo, Wenlei @@aut@@ Xing, Peng @@aut@@ Wu, Qinglong L. @@aut@@ |
| publishDateDaySort_date |
2019-08-08T00:00:00Z |
| hierarchy_top_id |
171335805 |
| dewey-sort |
3570 |
| id |
OLC2040589767 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC2040589767</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230606195134.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200820s2019 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s11356-019-06098-7</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2040589767</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s11356-019-06098-7-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">570</subfield><subfield code="a">360</subfield><subfield code="a">333.7</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">690</subfield><subfield code="a">333.7</subfield><subfield code="a">540</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">BIODIV</subfield><subfield code="q">DE-30</subfield><subfield code="2">fid</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Li, Biao</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Methane distribution patterns along a transect of Lake Fuxian, a deep oligotrophic lake in China</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2019</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer-Verlag GmbH Germany, part of Springer Nature 2019</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="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.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Methane</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Lake Fuxian</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Hotspot</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Littoral zone</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Stratification</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Overturn</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gu, Qiujin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Miao, Yuqing</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Luo, Wenlei</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Xing, Peng</subfield><subfield code="0">(orcid)0000-0002-4917-5181</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wu, Qinglong L.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Environmental science and pollution research</subfield><subfield code="d">Springer Berlin Heidelberg, 1994</subfield><subfield code="g">27(2019), 21 vom: 08. 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>
|
| author |
Li, Biao |
| spellingShingle |
Li, Biao ddc 570 ddc 690 fid BIODIV misc Methane misc Lake Fuxian misc Hotspot misc Littoral zone misc Stratification misc Overturn Methane distribution patterns along a transect of Lake Fuxian, a deep oligotrophic lake in China |
| authorStr |
Li, Biao |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)171335805 |
| format |
Article |
| dewey-ones |
570 - Life sciences; biology 360 - Social problems & services; associations 333 - Economics of land & energy 690 - Buildings 540 - Chemistry & allied sciences |
| delete_txt_mv |
keep |
| author_role |
aut aut aut aut aut aut |
| collection |
OLC |
| remote_str |
false |
| illustrated |
Not Illustrated |
| issn |
0944-1344 |
| topic_title |
570 360 333.7 VZ 690 333.7 540 VZ BIODIV DE-30 fid Methane distribution patterns along a transect of Lake Fuxian, a deep oligotrophic lake in China Methane Lake Fuxian Hotspot Littoral zone Stratification Overturn |
| topic |
ddc 570 ddc 690 fid BIODIV misc Methane misc Lake Fuxian misc Hotspot misc Littoral zone misc Stratification misc Overturn |
| topic_unstemmed |
ddc 570 ddc 690 fid BIODIV misc Methane misc Lake Fuxian misc Hotspot misc Littoral zone misc Stratification misc Overturn |
| topic_browse |
ddc 570 ddc 690 fid BIODIV misc Methane misc Lake Fuxian misc Hotspot misc Littoral zone misc Stratification misc Overturn |
| format_facet |
Aufsätze Gedruckte Aufsätze |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
nc |
| hierarchy_parent_title |
Environmental science and pollution research |
| hierarchy_parent_id |
171335805 |
| dewey-tens |
570 - Life sciences; biology 360 - Social problems & social services 330 - Economics 690 - Building & construction 540 - Chemistry |
| hierarchy_top_title |
Environmental science and pollution research |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)171335805 (DE-600)1178791-0 (DE-576)038875101 |
| title |
Methane distribution patterns along a transect of Lake Fuxian, a deep oligotrophic lake in China |
| ctrlnum |
(DE-627)OLC2040589767 (DE-He213)s11356-019-06098-7-p |
| title_full |
Methane distribution patterns along a transect of Lake Fuxian, a deep oligotrophic lake in China |
| author_sort |
Li, Biao |
| journal |
Environmental science and pollution research |
| journalStr |
Environmental science and pollution research |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
500 - Science 300 - Social sciences 600 - Technology |
| recordtype |
marc |
| publishDateSort |
2019 |
| contenttype_str_mv |
txt |
| container_start_page |
25848 |
| author_browse |
Li, Biao Gu, Qiujin Miao, Yuqing Luo, Wenlei Xing, Peng Wu, Qinglong L. |
| container_volume |
27 |
| class |
570 360 333.7 VZ 690 333.7 540 VZ BIODIV DE-30 fid |
| format_se |
Aufsätze |
| author-letter |
Li, Biao |
| doi_str_mv |
10.1007/s11356-019-06098-7 |
| normlink |
(ORCID)0000-0002-4917-5181 |
| normlink_prefix_str_mv |
(orcid)0000-0002-4917-5181 |
| dewey-full |
570 360 333.7 690 540 |
| title_sort |
methane distribution patterns along a transect of lake fuxian, a deep oligotrophic lake in china |
| title_auth |
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 |
| collection_details |
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 |
| container_issue |
21 |
| title_short |
Methane distribution patterns along a transect of Lake Fuxian, a deep oligotrophic lake in China |
| url |
https://doi.org/10.1007/s11356-019-06098-7 |
| remote_bool |
false |
| author2 |
Gu, Qiujin Miao, Yuqing Luo, Wenlei Xing, Peng Wu, Qinglong L. |
| author2Str |
Gu, Qiujin Miao, Yuqing Luo, Wenlei Xing, Peng Wu, Qinglong L. |
| ppnlink |
171335805 |
| mediatype_str_mv |
n |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| doi_str |
10.1007/s11356-019-06098-7 |
| up_date |
2024-07-04T02:42:51.577Z |
| _version_ |
1803614653334421504 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC2040589767</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230606195134.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200820s2019 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s11356-019-06098-7</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2040589767</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s11356-019-06098-7-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">570</subfield><subfield code="a">360</subfield><subfield code="a">333.7</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">690</subfield><subfield code="a">333.7</subfield><subfield code="a">540</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">BIODIV</subfield><subfield code="q">DE-30</subfield><subfield code="2">fid</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Li, Biao</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Methane distribution patterns along a transect of Lake Fuxian, a deep oligotrophic lake in China</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2019</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer-Verlag GmbH Germany, part of Springer Nature 2019</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="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.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Methane</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Lake Fuxian</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Hotspot</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Littoral zone</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Stratification</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Overturn</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gu, Qiujin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Miao, Yuqing</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Luo, Wenlei</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Xing, Peng</subfield><subfield code="0">(orcid)0000-0002-4917-5181</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wu, Qinglong L.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Environmental science and pollution research</subfield><subfield code="d">Springer Berlin Heidelberg, 1994</subfield><subfield code="g">27(2019), 21 vom: 08. 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>
|
| score |
7.3982677 |