Phytoplankton Phenology in the North Atlantic: Insights From Profiling Float Measurements

Phytoplankton division rate (μ), loss rate (l), and specific accumulation rate (r) were calculated using Chlorophyll-a (Chl) and phytoplankton carbon (Cphyto) derived from bio-optical measurements on 12 Argo profiling floats in a north-south section of the western North Atlantic Ocean (40° N to 60° N). The float results were used to quantify the seasonal phytoplankton phenology and bloom dynamics for the region. Latitudinally varying phytoplankton dynamics were observed. In the north, the CPhyto peak was higher, occurred later, and was accompanied by higher total annual CPhyto accumulation. In contrast, in the south, stronger μ-r decoupling occurred despite smaller seasonal variations in mixed layer depth (suggesting the possibility of other ecological forcing), and was accompanied by an increasing portion of winter to total annual production, consistent with relief of nutrient limitation. The float observations of phytoplankton phenology for the mixed layer were compared to ocean color satellite remote sensing observations and found to be similar. A similar comparison to an eddy-resolving ocean simulation found the model only reproduced some aspects of the observed phytoplankton phenology, indicating possible biases in the simulated physical forcing, turbulent dynamics, and bio-physical interactions. In addition to seasonal patterns in the mixed layer, the float measurements provided information on the vertical distribution of physical and biogeochemical quantities and therefore are complementary to the remote sensing measurements. Seasonal phenology patterns arise from interactions between “bottom-up” (e.g., resources for growth) and “top-down” (e.g., grazing, mortality) factors that involve both biological and physical drivers. The Argo float data are consistent with the disturbance recovery hypothesis over the full, annual seasonal cycle; for the late winter/early spring transition, the float data are also consistent with other bloom hypotheses (e.g., critical photosynthesis, critical division rate, and meso/sub-mesoscale physics) that highlight the importance of brief, episodic boundary layer shoaling for decoupling of division and grazing rates. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Bo Yang [verfasserIn] Emmanuel S. Boss [verfasserIn] Nils Haëntjens [verfasserIn] Matthew C. Long [verfasserIn] Michael J. Behrenfeld [verfasserIn] Rachel Eveleth [verfasserIn] Scott C. Doney [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	phytoplankton bloom North Atlantic profiling float chlorophyll backscattering

Übergeordnetes Werk:	In: Frontiers in Marine Science - Frontiers Media S.A., 2015, 7(2020)
Übergeordnetes Werk:	volume:7 ; year:2020

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3389/fmars.2020.00139

Katalog-ID:	DOAJ070929181

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520			\|a Phytoplankton division rate (μ), loss rate (l), and specific accumulation rate (r) were calculated using Chlorophyll-a (Chl) and phytoplankton carbon (Cphyto) derived from bio-optical measurements on 12 Argo profiling floats in a north-south section of the western North Atlantic Ocean (40° N to 60° N). The float results were used to quantify the seasonal phytoplankton phenology and bloom dynamics for the region. Latitudinally varying phytoplankton dynamics were observed. In the north, the CPhyto peak was higher, occurred later, and was accompanied by higher total annual CPhyto accumulation. In contrast, in the south, stronger μ-r decoupling occurred despite smaller seasonal variations in mixed layer depth (suggesting the possibility of other ecological forcing), and was accompanied by an increasing portion of winter to total annual production, consistent with relief of nutrient limitation. The float observations of phytoplankton phenology for the mixed layer were compared to ocean color satellite remote sensing observations and found to be similar. A similar comparison to an eddy-resolving ocean simulation found the model only reproduced some aspects of the observed phytoplankton phenology, indicating possible biases in the simulated physical forcing, turbulent dynamics, and bio-physical interactions. In addition to seasonal patterns in the mixed layer, the float measurements provided information on the vertical distribution of physical and biogeochemical quantities and therefore are complementary to the remote sensing measurements. Seasonal phenology patterns arise from interactions between “bottom-up” (e.g., resources for growth) and “top-down” (e.g., grazing, mortality) factors that involve both biological and physical drivers. The Argo float data are consistent with the disturbance recovery hypothesis over the full, annual seasonal cycle; for the late winter/early spring transition, the float data are also consistent with other bloom hypotheses (e.g., critical photosynthesis, critical division rate, and meso/sub-mesoscale physics) that highlight the importance of brief, episodic boundary layer shoaling for decoupling of division and grazing rates.
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allfields	10.3389/fmars.2020.00139 doi (DE-627)DOAJ070929181 (DE-599)DOAJacd764d9ee8b413f84ddf5d6b0aee53e DE-627 ger DE-627 rakwb eng QH1-199.5 Bo Yang verfasserin aut Phytoplankton Phenology in the North Atlantic: Insights From Profiling Float Measurements 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Phytoplankton division rate (μ), loss rate (l), and specific accumulation rate (r) were calculated using Chlorophyll-a (Chl) and phytoplankton carbon (Cphyto) derived from bio-optical measurements on 12 Argo profiling floats in a north-south section of the western North Atlantic Ocean (40° N to 60° N). The float results were used to quantify the seasonal phytoplankton phenology and bloom dynamics for the region. Latitudinally varying phytoplankton dynamics were observed. In the north, the CPhyto peak was higher, occurred later, and was accompanied by higher total annual CPhyto accumulation. In contrast, in the south, stronger μ-r decoupling occurred despite smaller seasonal variations in mixed layer depth (suggesting the possibility of other ecological forcing), and was accompanied by an increasing portion of winter to total annual production, consistent with relief of nutrient limitation. The float observations of phytoplankton phenology for the mixed layer were compared to ocean color satellite remote sensing observations and found to be similar. A similar comparison to an eddy-resolving ocean simulation found the model only reproduced some aspects of the observed phytoplankton phenology, indicating possible biases in the simulated physical forcing, turbulent dynamics, and bio-physical interactions. In addition to seasonal patterns in the mixed layer, the float measurements provided information on the vertical distribution of physical and biogeochemical quantities and therefore are complementary to the remote sensing measurements. Seasonal phenology patterns arise from interactions between “bottom-up” (e.g., resources for growth) and “top-down” (e.g., grazing, mortality) factors that involve both biological and physical drivers. The Argo float data are consistent with the disturbance recovery hypothesis over the full, annual seasonal cycle; for the late winter/early spring transition, the float data are also consistent with other bloom hypotheses (e.g., critical photosynthesis, critical division rate, and meso/sub-mesoscale physics) that highlight the importance of brief, episodic boundary layer shoaling for decoupling of division and grazing rates. phytoplankton bloom North Atlantic profiling float chlorophyll backscattering Science Q General. Including nature conservation, geographical distribution Emmanuel S. Boss verfasserin aut Nils Haëntjens verfasserin aut Matthew C. Long verfasserin aut Michael J. Behrenfeld verfasserin aut Rachel Eveleth verfasserin aut Scott C. Doney verfasserin aut In Frontiers in Marine Science Frontiers Media S.A., 2015 7(2020) (DE-627)779393945 (DE-600)2757748-X 22967745 nnns volume:7 year:2020 https://doi.org/10.3389/fmars.2020.00139 kostenfrei https://doaj.org/article/acd764d9ee8b413f84ddf5d6b0aee53e kostenfrei https://www.frontiersin.org/article/10.3389/fmars.2020.00139/full kostenfrei https://doaj.org/toc/2296-7745 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2020
spelling	10.3389/fmars.2020.00139 doi (DE-627)DOAJ070929181 (DE-599)DOAJacd764d9ee8b413f84ddf5d6b0aee53e DE-627 ger DE-627 rakwb eng QH1-199.5 Bo Yang verfasserin aut Phytoplankton Phenology in the North Atlantic: Insights From Profiling Float Measurements 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Phytoplankton division rate (μ), loss rate (l), and specific accumulation rate (r) were calculated using Chlorophyll-a (Chl) and phytoplankton carbon (Cphyto) derived from bio-optical measurements on 12 Argo profiling floats in a north-south section of the western North Atlantic Ocean (40° N to 60° N). The float results were used to quantify the seasonal phytoplankton phenology and bloom dynamics for the region. Latitudinally varying phytoplankton dynamics were observed. In the north, the CPhyto peak was higher, occurred later, and was accompanied by higher total annual CPhyto accumulation. In contrast, in the south, stronger μ-r decoupling occurred despite smaller seasonal variations in mixed layer depth (suggesting the possibility of other ecological forcing), and was accompanied by an increasing portion of winter to total annual production, consistent with relief of nutrient limitation. The float observations of phytoplankton phenology for the mixed layer were compared to ocean color satellite remote sensing observations and found to be similar. A similar comparison to an eddy-resolving ocean simulation found the model only reproduced some aspects of the observed phytoplankton phenology, indicating possible biases in the simulated physical forcing, turbulent dynamics, and bio-physical interactions. In addition to seasonal patterns in the mixed layer, the float measurements provided information on the vertical distribution of physical and biogeochemical quantities and therefore are complementary to the remote sensing measurements. Seasonal phenology patterns arise from interactions between “bottom-up” (e.g., resources for growth) and “top-down” (e.g., grazing, mortality) factors that involve both biological and physical drivers. The Argo float data are consistent with the disturbance recovery hypothesis over the full, annual seasonal cycle; for the late winter/early spring transition, the float data are also consistent with other bloom hypotheses (e.g., critical photosynthesis, critical division rate, and meso/sub-mesoscale physics) that highlight the importance of brief, episodic boundary layer shoaling for decoupling of division and grazing rates. phytoplankton bloom North Atlantic profiling float chlorophyll backscattering Science Q General. Including nature conservation, geographical distribution Emmanuel S. Boss verfasserin aut Nils Haëntjens verfasserin aut Matthew C. Long verfasserin aut Michael J. Behrenfeld verfasserin aut Rachel Eveleth verfasserin aut Scott C. Doney verfasserin aut In Frontiers in Marine Science Frontiers Media S.A., 2015 7(2020) (DE-627)779393945 (DE-600)2757748-X 22967745 nnns volume:7 year:2020 https://doi.org/10.3389/fmars.2020.00139 kostenfrei https://doaj.org/article/acd764d9ee8b413f84ddf5d6b0aee53e kostenfrei https://www.frontiersin.org/article/10.3389/fmars.2020.00139/full kostenfrei https://doaj.org/toc/2296-7745 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2020
allfields_unstemmed	10.3389/fmars.2020.00139 doi (DE-627)DOAJ070929181 (DE-599)DOAJacd764d9ee8b413f84ddf5d6b0aee53e DE-627 ger DE-627 rakwb eng QH1-199.5 Bo Yang verfasserin aut Phytoplankton Phenology in the North Atlantic: Insights From Profiling Float Measurements 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Phytoplankton division rate (μ), loss rate (l), and specific accumulation rate (r) were calculated using Chlorophyll-a (Chl) and phytoplankton carbon (Cphyto) derived from bio-optical measurements on 12 Argo profiling floats in a north-south section of the western North Atlantic Ocean (40° N to 60° N). The float results were used to quantify the seasonal phytoplankton phenology and bloom dynamics for the region. Latitudinally varying phytoplankton dynamics were observed. In the north, the CPhyto peak was higher, occurred later, and was accompanied by higher total annual CPhyto accumulation. In contrast, in the south, stronger μ-r decoupling occurred despite smaller seasonal variations in mixed layer depth (suggesting the possibility of other ecological forcing), and was accompanied by an increasing portion of winter to total annual production, consistent with relief of nutrient limitation. The float observations of phytoplankton phenology for the mixed layer were compared to ocean color satellite remote sensing observations and found to be similar. A similar comparison to an eddy-resolving ocean simulation found the model only reproduced some aspects of the observed phytoplankton phenology, indicating possible biases in the simulated physical forcing, turbulent dynamics, and bio-physical interactions. In addition to seasonal patterns in the mixed layer, the float measurements provided information on the vertical distribution of physical and biogeochemical quantities and therefore are complementary to the remote sensing measurements. Seasonal phenology patterns arise from interactions between “bottom-up” (e.g., resources for growth) and “top-down” (e.g., grazing, mortality) factors that involve both biological and physical drivers. The Argo float data are consistent with the disturbance recovery hypothesis over the full, annual seasonal cycle; for the late winter/early spring transition, the float data are also consistent with other bloom hypotheses (e.g., critical photosynthesis, critical division rate, and meso/sub-mesoscale physics) that highlight the importance of brief, episodic boundary layer shoaling for decoupling of division and grazing rates. phytoplankton bloom North Atlantic profiling float chlorophyll backscattering Science Q General. Including nature conservation, geographical distribution Emmanuel S. Boss verfasserin aut Nils Haëntjens verfasserin aut Matthew C. Long verfasserin aut Michael J. Behrenfeld verfasserin aut Rachel Eveleth verfasserin aut Scott C. Doney verfasserin aut In Frontiers in Marine Science Frontiers Media S.A., 2015 7(2020) (DE-627)779393945 (DE-600)2757748-X 22967745 nnns volume:7 year:2020 https://doi.org/10.3389/fmars.2020.00139 kostenfrei https://doaj.org/article/acd764d9ee8b413f84ddf5d6b0aee53e kostenfrei https://www.frontiersin.org/article/10.3389/fmars.2020.00139/full kostenfrei https://doaj.org/toc/2296-7745 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2020
allfieldsGer	10.3389/fmars.2020.00139 doi (DE-627)DOAJ070929181 (DE-599)DOAJacd764d9ee8b413f84ddf5d6b0aee53e DE-627 ger DE-627 rakwb eng QH1-199.5 Bo Yang verfasserin aut Phytoplankton Phenology in the North Atlantic: Insights From Profiling Float Measurements 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Phytoplankton division rate (μ), loss rate (l), and specific accumulation rate (r) were calculated using Chlorophyll-a (Chl) and phytoplankton carbon (Cphyto) derived from bio-optical measurements on 12 Argo profiling floats in a north-south section of the western North Atlantic Ocean (40° N to 60° N). The float results were used to quantify the seasonal phytoplankton phenology and bloom dynamics for the region. Latitudinally varying phytoplankton dynamics were observed. In the north, the CPhyto peak was higher, occurred later, and was accompanied by higher total annual CPhyto accumulation. In contrast, in the south, stronger μ-r decoupling occurred despite smaller seasonal variations in mixed layer depth (suggesting the possibility of other ecological forcing), and was accompanied by an increasing portion of winter to total annual production, consistent with relief of nutrient limitation. The float observations of phytoplankton phenology for the mixed layer were compared to ocean color satellite remote sensing observations and found to be similar. A similar comparison to an eddy-resolving ocean simulation found the model only reproduced some aspects of the observed phytoplankton phenology, indicating possible biases in the simulated physical forcing, turbulent dynamics, and bio-physical interactions. In addition to seasonal patterns in the mixed layer, the float measurements provided information on the vertical distribution of physical and biogeochemical quantities and therefore are complementary to the remote sensing measurements. Seasonal phenology patterns arise from interactions between “bottom-up” (e.g., resources for growth) and “top-down” (e.g., grazing, mortality) factors that involve both biological and physical drivers. The Argo float data are consistent with the disturbance recovery hypothesis over the full, annual seasonal cycle; for the late winter/early spring transition, the float data are also consistent with other bloom hypotheses (e.g., critical photosynthesis, critical division rate, and meso/sub-mesoscale physics) that highlight the importance of brief, episodic boundary layer shoaling for decoupling of division and grazing rates. phytoplankton bloom North Atlantic profiling float chlorophyll backscattering Science Q General. Including nature conservation, geographical distribution Emmanuel S. Boss verfasserin aut Nils Haëntjens verfasserin aut Matthew C. Long verfasserin aut Michael J. Behrenfeld verfasserin aut Rachel Eveleth verfasserin aut Scott C. Doney verfasserin aut In Frontiers in Marine Science Frontiers Media S.A., 2015 7(2020) (DE-627)779393945 (DE-600)2757748-X 22967745 nnns volume:7 year:2020 https://doi.org/10.3389/fmars.2020.00139 kostenfrei https://doaj.org/article/acd764d9ee8b413f84ddf5d6b0aee53e kostenfrei https://www.frontiersin.org/article/10.3389/fmars.2020.00139/full kostenfrei https://doaj.org/toc/2296-7745 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2020
allfieldsSound	10.3389/fmars.2020.00139 doi (DE-627)DOAJ070929181 (DE-599)DOAJacd764d9ee8b413f84ddf5d6b0aee53e DE-627 ger DE-627 rakwb eng QH1-199.5 Bo Yang verfasserin aut Phytoplankton Phenology in the North Atlantic: Insights From Profiling Float Measurements 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Phytoplankton division rate (μ), loss rate (l), and specific accumulation rate (r) were calculated using Chlorophyll-a (Chl) and phytoplankton carbon (Cphyto) derived from bio-optical measurements on 12 Argo profiling floats in a north-south section of the western North Atlantic Ocean (40° N to 60° N). The float results were used to quantify the seasonal phytoplankton phenology and bloom dynamics for the region. Latitudinally varying phytoplankton dynamics were observed. In the north, the CPhyto peak was higher, occurred later, and was accompanied by higher total annual CPhyto accumulation. In contrast, in the south, stronger μ-r decoupling occurred despite smaller seasonal variations in mixed layer depth (suggesting the possibility of other ecological forcing), and was accompanied by an increasing portion of winter to total annual production, consistent with relief of nutrient limitation. The float observations of phytoplankton phenology for the mixed layer were compared to ocean color satellite remote sensing observations and found to be similar. A similar comparison to an eddy-resolving ocean simulation found the model only reproduced some aspects of the observed phytoplankton phenology, indicating possible biases in the simulated physical forcing, turbulent dynamics, and bio-physical interactions. In addition to seasonal patterns in the mixed layer, the float measurements provided information on the vertical distribution of physical and biogeochemical quantities and therefore are complementary to the remote sensing measurements. Seasonal phenology patterns arise from interactions between “bottom-up” (e.g., resources for growth) and “top-down” (e.g., grazing, mortality) factors that involve both biological and physical drivers. The Argo float data are consistent with the disturbance recovery hypothesis over the full, annual seasonal cycle; for the late winter/early spring transition, the float data are also consistent with other bloom hypotheses (e.g., critical photosynthesis, critical division rate, and meso/sub-mesoscale physics) that highlight the importance of brief, episodic boundary layer shoaling for decoupling of division and grazing rates. phytoplankton bloom North Atlantic profiling float chlorophyll backscattering Science Q General. Including nature conservation, geographical distribution Emmanuel S. Boss verfasserin aut Nils Haëntjens verfasserin aut Matthew C. Long verfasserin aut Michael J. Behrenfeld verfasserin aut Rachel Eveleth verfasserin aut Scott C. Doney verfasserin aut In Frontiers in Marine Science Frontiers Media S.A., 2015 7(2020) (DE-627)779393945 (DE-600)2757748-X 22967745 nnns volume:7 year:2020 https://doi.org/10.3389/fmars.2020.00139 kostenfrei https://doaj.org/article/acd764d9ee8b413f84ddf5d6b0aee53e kostenfrei https://www.frontiersin.org/article/10.3389/fmars.2020.00139/full kostenfrei https://doaj.org/toc/2296-7745 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2020
language	English
source	In Frontiers in Marine Science 7(2020) volume:7 year:2020
sourceStr	In Frontiers in Marine Science 7(2020) volume:7 year:2020
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institution	findex.gbv.de
topic_facet	phytoplankton bloom North Atlantic profiling float chlorophyll backscattering Science Q General. Including nature conservation, geographical distribution
isfreeaccess_bool	true
container_title	Frontiers in Marine Science
authorswithroles_txt_mv	Bo Yang @@aut@@ Emmanuel S. Boss @@aut@@ Nils Haëntjens @@aut@@ Matthew C. Long @@aut@@ Michael J. Behrenfeld @@aut@@ Rachel Eveleth @@aut@@ Scott C. Doney @@aut@@
publishDateDaySort_date	2020-01-01T00:00:00Z
hierarchy_top_id	779393945
id	DOAJ070929181
language_de	englisch
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spellingShingle	Bo Yang misc QH1-199.5 misc phytoplankton bloom misc North Atlantic misc profiling float misc chlorophyll misc backscattering misc Science misc Q misc General. Including nature conservation, geographical distribution Phytoplankton Phenology in the North Atlantic: Insights From Profiling Float Measurements
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topic_title	QH1-199.5 Phytoplankton Phenology in the North Atlantic: Insights From Profiling Float Measurements phytoplankton bloom North Atlantic profiling float chlorophyll backscattering
topic	misc QH1-199.5 misc phytoplankton bloom misc North Atlantic misc profiling float misc chlorophyll misc backscattering misc Science misc Q misc General. Including nature conservation, geographical distribution
topic_unstemmed	misc QH1-199.5 misc phytoplankton bloom misc North Atlantic misc profiling float misc chlorophyll misc backscattering misc Science misc Q misc General. Including nature conservation, geographical distribution
topic_browse	misc QH1-199.5 misc phytoplankton bloom misc North Atlantic misc profiling float misc chlorophyll misc backscattering misc Science misc Q misc General. Including nature conservation, geographical distribution
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title	Phytoplankton Phenology in the North Atlantic: Insights From Profiling Float Measurements
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title_full	Phytoplankton Phenology in the North Atlantic: Insights From Profiling Float Measurements
author_sort	Bo Yang
journal	Frontiers in Marine Science
journalStr	Frontiers in Marine Science
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author_browse	Bo Yang Emmanuel S. Boss Nils Haëntjens Matthew C. Long Michael J. Behrenfeld Rachel Eveleth Scott C. Doney
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author-letter	Bo Yang
doi_str_mv	10.3389/fmars.2020.00139
author2-role	verfasserin
title_sort	phytoplankton phenology in the north atlantic: insights from profiling float measurements
callnumber	QH1-199.5
title_auth	Phytoplankton Phenology in the North Atlantic: Insights From Profiling Float Measurements
abstract	Phytoplankton division rate (μ), loss rate (l), and specific accumulation rate (r) were calculated using Chlorophyll-a (Chl) and phytoplankton carbon (Cphyto) derived from bio-optical measurements on 12 Argo profiling floats in a north-south section of the western North Atlantic Ocean (40° N to 60° N). The float results were used to quantify the seasonal phytoplankton phenology and bloom dynamics for the region. Latitudinally varying phytoplankton dynamics were observed. In the north, the CPhyto peak was higher, occurred later, and was accompanied by higher total annual CPhyto accumulation. In contrast, in the south, stronger μ-r decoupling occurred despite smaller seasonal variations in mixed layer depth (suggesting the possibility of other ecological forcing), and was accompanied by an increasing portion of winter to total annual production, consistent with relief of nutrient limitation. The float observations of phytoplankton phenology for the mixed layer were compared to ocean color satellite remote sensing observations and found to be similar. A similar comparison to an eddy-resolving ocean simulation found the model only reproduced some aspects of the observed phytoplankton phenology, indicating possible biases in the simulated physical forcing, turbulent dynamics, and bio-physical interactions. In addition to seasonal patterns in the mixed layer, the float measurements provided information on the vertical distribution of physical and biogeochemical quantities and therefore are complementary to the remote sensing measurements. Seasonal phenology patterns arise from interactions between “bottom-up” (e.g., resources for growth) and “top-down” (e.g., grazing, mortality) factors that involve both biological and physical drivers. The Argo float data are consistent with the disturbance recovery hypothesis over the full, annual seasonal cycle; for the late winter/early spring transition, the float data are also consistent with other bloom hypotheses (e.g., critical photosynthesis, critical division rate, and meso/sub-mesoscale physics) that highlight the importance of brief, episodic boundary layer shoaling for decoupling of division and grazing rates.
abstractGer	Phytoplankton division rate (μ), loss rate (l), and specific accumulation rate (r) were calculated using Chlorophyll-a (Chl) and phytoplankton carbon (Cphyto) derived from bio-optical measurements on 12 Argo profiling floats in a north-south section of the western North Atlantic Ocean (40° N to 60° N). The float results were used to quantify the seasonal phytoplankton phenology and bloom dynamics for the region. Latitudinally varying phytoplankton dynamics were observed. In the north, the CPhyto peak was higher, occurred later, and was accompanied by higher total annual CPhyto accumulation. In contrast, in the south, stronger μ-r decoupling occurred despite smaller seasonal variations in mixed layer depth (suggesting the possibility of other ecological forcing), and was accompanied by an increasing portion of winter to total annual production, consistent with relief of nutrient limitation. The float observations of phytoplankton phenology for the mixed layer were compared to ocean color satellite remote sensing observations and found to be similar. A similar comparison to an eddy-resolving ocean simulation found the model only reproduced some aspects of the observed phytoplankton phenology, indicating possible biases in the simulated physical forcing, turbulent dynamics, and bio-physical interactions. In addition to seasonal patterns in the mixed layer, the float measurements provided information on the vertical distribution of physical and biogeochemical quantities and therefore are complementary to the remote sensing measurements. Seasonal phenology patterns arise from interactions between “bottom-up” (e.g., resources for growth) and “top-down” (e.g., grazing, mortality) factors that involve both biological and physical drivers. The Argo float data are consistent with the disturbance recovery hypothesis over the full, annual seasonal cycle; for the late winter/early spring transition, the float data are also consistent with other bloom hypotheses (e.g., critical photosynthesis, critical division rate, and meso/sub-mesoscale physics) that highlight the importance of brief, episodic boundary layer shoaling for decoupling of division and grazing rates.
abstract_unstemmed	Phytoplankton division rate (μ), loss rate (l), and specific accumulation rate (r) were calculated using Chlorophyll-a (Chl) and phytoplankton carbon (Cphyto) derived from bio-optical measurements on 12 Argo profiling floats in a north-south section of the western North Atlantic Ocean (40° N to 60° N). The float results were used to quantify the seasonal phytoplankton phenology and bloom dynamics for the region. Latitudinally varying phytoplankton dynamics were observed. In the north, the CPhyto peak was higher, occurred later, and was accompanied by higher total annual CPhyto accumulation. In contrast, in the south, stronger μ-r decoupling occurred despite smaller seasonal variations in mixed layer depth (suggesting the possibility of other ecological forcing), and was accompanied by an increasing portion of winter to total annual production, consistent with relief of nutrient limitation. The float observations of phytoplankton phenology for the mixed layer were compared to ocean color satellite remote sensing observations and found to be similar. A similar comparison to an eddy-resolving ocean simulation found the model only reproduced some aspects of the observed phytoplankton phenology, indicating possible biases in the simulated physical forcing, turbulent dynamics, and bio-physical interactions. In addition to seasonal patterns in the mixed layer, the float measurements provided information on the vertical distribution of physical and biogeochemical quantities and therefore are complementary to the remote sensing measurements. Seasonal phenology patterns arise from interactions between “bottom-up” (e.g., resources for growth) and “top-down” (e.g., grazing, mortality) factors that involve both biological and physical drivers. The Argo float data are consistent with the disturbance recovery hypothesis over the full, annual seasonal cycle; for the late winter/early spring transition, the float data are also consistent with other bloom hypotheses (e.g., critical photosynthesis, critical division rate, and meso/sub-mesoscale physics) that highlight the importance of brief, episodic boundary layer shoaling for decoupling of division and grazing rates.
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title_short	Phytoplankton Phenology in the North Atlantic: Insights From Profiling Float Measurements
url	https://doi.org/10.3389/fmars.2020.00139 https://doaj.org/article/acd764d9ee8b413f84ddf5d6b0aee53e https://www.frontiersin.org/article/10.3389/fmars.2020.00139/full https://doaj.org/toc/2296-7745
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author2	Emmanuel S. Boss Nils Haëntjens Matthew C. Long Michael J. Behrenfeld Rachel Eveleth Scott C. Doney
author2Str	Emmanuel S. Boss Nils Haëntjens Matthew C. Long Michael J. Behrenfeld Rachel Eveleth Scott C. Doney
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up_date	2024-07-03T17:30:05.262Z
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