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Macrozooplankton
Event ID: 665046ae-b877-11e9-8f49-000c29fb4a96
Parent Event ID: 9acda647-b9dd-11e9-8f49-000c29fb4a96
Event date: 2019-08-08T03:24:00
Station: P1 (NLEG01)
Location: 76° 1' 11" N , 31° 17' 23" E
Cruise number: 2019706
Cruise name: 2019 Seasonal Study Q3
Sampletype: Macrozooplankton taxonomy
Sampling protocol: Nansen Legacy Sampling protocols v4 July 12 2019, 9.3.5 MIK net manual; heaving speed similar to deploying
Gear type: MIK-net 1500 um
Bottom depth (m): 330.80

Person of Interest

Name: Espen Bagøien
Email: espen.bagoien@hi.no
Institution: Institute of Marine Research

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Macrozooplankton
pi_name: Espen Bagoien
Abstract
Biomass and Taxonomy of macrozooplankton

pi_email: espen.bagoien@hi.no
projectID: RCN#276730
pi_address: Institute of Marine Research, Bergen, Norway
recordedBy: Padmini Dalpadado
pi_institution: Institute of Marine Research, Bergen, Norway
Created: 2020-05-06T13:43:03
Modified: 2021-08-12T08:58:43
History: 2020-05-06T13:43:03Z: Initial read in of the log files. 2021-08-12T08:58:43Z: Standardising PI email and institutions
Event remarks: V-haul; heaving speed acc to protocol found to fast, adjusted
Source document: AeN_2019706_Macrozooplankton_Padmini.xlsx
Taxon: Bouganivillia
statID: 20
fixative: frozen
fieldNotes: taxonomy & biomass of the same
storageTemp: Cool room
weightInGrams: 2.9
maximumDepthInMeters: 320
minimumDepthInMeters: 0
T2-2.5 Critical seasonal windows of responses to multiple stressors on key organisms of benthic and pelagic food chains
Event ID: 4bf0cf73-b8f5-11e9-8f49-000c29fb4a96
Parent Event ID: 7d56ebe6-ba42-11e9-8f49-000c29fb4a96
Event date: 2019-08-08T17:21:00
Station: P1 (NLEG01)
Location: 76° 2' 10" N , 31° 4' 18" E
Cruise number: 2019706
Cruise name: 2019 Seasonal Study Q3
Sampletype: Macrozooplankton biomass
Sampling protocol: Nansen Legacy Sampling protocols v4 July 12 2019, 13.2
Gear type: Macroplankton trawl
Bottom depth (m): 332.48

Person of Interest

Name: Øystein Varpe
Email: Oystein.varpe@unis.no
Institution: University of Bergen

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T2-2.5 Critical seasonal windows of responses to multiple stressors on key organisms of benthic and pelagic food chains
pi_name: Oystein Varpe
Abstract
Due to climate change and pollution Arctic ecosystems are exposed to multiple stressors. Arctic ecosystems are highly seasonal and include substantial changes in the lipid composition of the organisms throughout the year. In periods with lipid mobilization many marine species will be prone to external stressors which may influence their ecology, physiology and biochemistry. These “critical periods of effects” (when energy stores are depleted and pollutants are remobilized from lipids to blood and other body organs) need to be determined in Arctic species belonging to the benthic and pelagic food chain. Key species in the benthic (amphipods, bivalves and common eiders) and pelagic (macrozooplankton, polar cod and kittiwakes) food web will be sampled throughout the year, with seabird data primarily from collaboration with ongoing and NPI lead work in breeding colonies. For fish and birds, organ specific distributions of pollutants and organ specific annual composition of fat, protein and energy will be quantified to determine their critical periods of effects in relation to time of year. From this, combined with habitat use and activity levels, critical periods of effects can be predicted.

pi_email: oystein.varpe@unis.no
projectID: cant remember
pi_address: UNIS
recordedBy: Robynne Nowicki
pi_institution: UNIS
Created: 2020-05-06T13:42:08
Modified: 2021-08-12T10:51:21
History: 2020-05-06T13:42:08Z: Initial read in of the log files. 2021-08-12T07:44:42Z: Standardising PI names 2021-08-12T10:51:21Z: Standardising PI email and institutions
Source document: Robynne-AeN_Aug_19_cruise-macrozooplankton_Energy-_corrected.xlsx
Taxon: Megantiphanes norvengica
statID: 102
recordNumber: 16
weightInGrams: 0.55
T2-2.5 Critical seasonal windows of responses to multiple stressors on key organisms of benthic and pelagic food chains
Event ID: 4bf0cf75-b8f5-11e9-8f49-000c29fb4a96
Parent Event ID: 7d56ebe6-ba42-11e9-8f49-000c29fb4a96
Event date: 2019-08-08T17:21:00
Station: P1 (NLEG01)
Location: 76° 2' 10" N , 31° 4' 18" E
Cruise number: 2019706
Cruise name: 2019 Seasonal Study Q3
Sampletype: Macrozooplankton biomass
Sampling protocol: Nansen Legacy Sampling protocols v4 July 12 2019, 13.2
Gear type: Macroplankton trawl
Bottom depth (m): 332.48

Person of Interest

Name: Øystein Varpe
Email: Oystein.varpe@unis.no
Institution: University of Bergen

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T2-2.5 Critical seasonal windows of responses to multiple stressors on key organisms of benthic and pelagic food chains
pi_name: Oystein Varpe
Abstract
Due to climate change and pollution Arctic ecosystems are exposed to multiple stressors. Arctic ecosystems are highly seasonal and include substantial changes in the lipid composition of the organisms throughout the year. In periods with lipid mobilization many marine species will be prone to external stressors which may influence their ecology, physiology and biochemistry. These “critical periods of effects” (when energy stores are depleted and pollutants are remobilized from lipids to blood and other body organs) need to be determined in Arctic species belonging to the benthic and pelagic food chain. Key species in the benthic (amphipods, bivalves and common eiders) and pelagic (macrozooplankton, polar cod and kittiwakes) food web will be sampled throughout the year, with seabird data primarily from collaboration with ongoing and NPI lead work in breeding colonies. For fish and birds, organ specific distributions of pollutants and organ specific annual composition of fat, protein and energy will be quantified to determine their critical periods of effects in relation to time of year. From this, combined with habitat use and activity levels, critical periods of effects can be predicted.

pi_email: oystein.varpe@unis.no
projectID: cant remember
pi_address: UNIS
recordedBy: Robynne Nowicki
pi_institution: UNIS
Created: 2020-05-06T13:42:08
Modified: 2021-08-12T10:51:21
History: 2020-05-06T13:42:08Z: Initial read in of the log files. 2021-08-12T07:44:42Z: Standardising PI names 2021-08-12T10:51:21Z: Standardising PI email and institutions
Source document: Robynne-AeN_Aug_19_cruise-macrozooplankton_Energy-_corrected.xlsx
Taxon: Megantiphanes norvengica
statID: 102
recordNumber: 18
measurementRemarks: 6 individuals- Length: 20-30
T2-2.5 Critical seasonal windows of responses to multiple stressors on key organisms of benthic and pelagic food chains
Event ID: 4bf0cf70-b8f5-11e9-8f49-000c29fb4a96
Parent Event ID: 7d56ebe6-ba42-11e9-8f49-000c29fb4a96
Event date: 2019-08-08T17:21:00
Station: P1 (NLEG01)
Location: 76° 2' 10" N , 31° 4' 18" E
Cruise number: 2019706
Cruise name: 2019 Seasonal Study Q3
Sampletype: Macrozooplankton biomass
Sampling protocol: Nansen Legacy Sampling protocols v4 July 12 2019, 13.2
Gear type: Macroplankton trawl
Bottom depth (m): 332.48

Person of Interest

Name: Øystein Varpe
Email: Oystein.varpe@unis.no
Institution: University of Bergen

Show more metadata

T2-2.5 Critical seasonal windows of responses to multiple stressors on key organisms of benthic and pelagic food chains
pi_name: Oystein Varpe
Abstract
Due to climate change and pollution Arctic ecosystems are exposed to multiple stressors. Arctic ecosystems are highly seasonal and include substantial changes in the lipid composition of the organisms throughout the year. In periods with lipid mobilization many marine species will be prone to external stressors which may influence their ecology, physiology and biochemistry. These “critical periods of effects” (when energy stores are depleted and pollutants are remobilized from lipids to blood and other body organs) need to be determined in Arctic species belonging to the benthic and pelagic food chain. Key species in the benthic (amphipods, bivalves and common eiders) and pelagic (macrozooplankton, polar cod and kittiwakes) food web will be sampled throughout the year, with seabird data primarily from collaboration with ongoing and NPI lead work in breeding colonies. For fish and birds, organ specific distributions of pollutants and organ specific annual composition of fat, protein and energy will be quantified to determine their critical periods of effects in relation to time of year. From this, combined with habitat use and activity levels, critical periods of effects can be predicted.

pi_email: oystein.varpe@unis.no
projectID: cant remember
pi_address: UNIS
recordedBy: Robynne Nowicki
pi_institution: UNIS
Created: 2020-05-06T13:42:08
Modified: 2021-08-12T10:51:21
History: 2020-05-06T13:42:08Z: Initial read in of the log files. 2021-08-12T07:44:42Z: Standardising PI names 2021-08-12T10:51:21Z: Standardising PI email and institutions
Source document: Robynne-AeN_Aug_19_cruise-macrozooplankton_Energy-_corrected.xlsx
Taxon: Megantiphanes norvengica
statID: 102
recordNumber: 13
weightInGrams: 0.45
T2-2.5 Critical seasonal windows of responses to multiple stressors on key organisms of benthic and pelagic food chains
Event ID: 4bf0cf74-b8f5-11e9-8f49-000c29fb4a96
Parent Event ID: 7d56ebe6-ba42-11e9-8f49-000c29fb4a96
Event date: 2019-08-08T17:21:00
Station: P1 (NLEG01)
Location: 76° 2' 10" N , 31° 4' 18" E
Cruise number: 2019706
Cruise name: 2019 Seasonal Study Q3
Sampletype: Macrozooplankton biomass
Sampling protocol: Nansen Legacy Sampling protocols v4 July 12 2019, 13.2
Gear type: Macroplankton trawl
Bottom depth (m): 332.48

Person of Interest

Name: Øystein Varpe
Email: Oystein.varpe@unis.no
Institution: University of Bergen

Show more metadata

T2-2.5 Critical seasonal windows of responses to multiple stressors on key organisms of benthic and pelagic food chains
pi_name: Oystein Varpe
Abstract
Due to climate change and pollution Arctic ecosystems are exposed to multiple stressors. Arctic ecosystems are highly seasonal and include substantial changes in the lipid composition of the organisms throughout the year. In periods with lipid mobilization many marine species will be prone to external stressors which may influence their ecology, physiology and biochemistry. These “critical periods of effects” (when energy stores are depleted and pollutants are remobilized from lipids to blood and other body organs) need to be determined in Arctic species belonging to the benthic and pelagic food chain. Key species in the benthic (amphipods, bivalves and common eiders) and pelagic (macrozooplankton, polar cod and kittiwakes) food web will be sampled throughout the year, with seabird data primarily from collaboration with ongoing and NPI lead work in breeding colonies. For fish and birds, organ specific distributions of pollutants and organ specific annual composition of fat, protein and energy will be quantified to determine their critical periods of effects in relation to time of year. From this, combined with habitat use and activity levels, critical periods of effects can be predicted.

pi_email: oystein.varpe@unis.no
projectID: cant remember
pi_address: UNIS
recordedBy: Robynne Nowicki
pi_institution: UNIS
Created: 2020-05-06T13:42:08
Modified: 2021-08-12T10:51:21
History: 2020-05-06T13:42:08Z: Initial read in of the log files. 2021-08-12T07:44:42Z: Standardising PI names 2021-08-12T10:51:21Z: Standardising PI email and institutions
Source document: Robynne-AeN_Aug_19_cruise-macrozooplankton_Energy-_corrected.xlsx
Taxon: Megantiphanes norvengica
statID: 102
recordNumber: 17
weightInGrams: 45
T2-2.5 Critical seasonal windows of responses to multiple stressors on key organisms of benthic and pelagic food chains
Event ID: 4bf0cf7a-b8f5-11e9-8f49-000c29fb4a96
Parent Event ID: 7d56ebe6-ba42-11e9-8f49-000c29fb4a96
Event date: 2019-08-08T17:21:00
Station: P1 (NLEG01)
Location: 76° 2' 10" N , 31° 4' 18" E
Cruise number: 2019706
Cruise name: 2019 Seasonal Study Q3
Sampletype: Macrozooplankton biomass
Sampling protocol: Nansen Legacy Sampling protocols v4 July 12 2019, 13.2
Gear type: Macroplankton trawl
Bottom depth (m): 332.48

Person of Interest

Name: Øystein Varpe
Email: Oystein.varpe@unis.no
Institution: University of Bergen

Show more metadata

T2-2.5 Critical seasonal windows of responses to multiple stressors on key organisms of benthic and pelagic food chains
pi_name: Oystein Varpe
Abstract
Due to climate change and pollution Arctic ecosystems are exposed to multiple stressors. Arctic ecosystems are highly seasonal and include substantial changes in the lipid composition of the organisms throughout the year. In periods with lipid mobilization many marine species will be prone to external stressors which may influence their ecology, physiology and biochemistry. These “critical periods of effects” (when energy stores are depleted and pollutants are remobilized from lipids to blood and other body organs) need to be determined in Arctic species belonging to the benthic and pelagic food chain. Key species in the benthic (amphipods, bivalves and common eiders) and pelagic (macrozooplankton, polar cod and kittiwakes) food web will be sampled throughout the year, with seabird data primarily from collaboration with ongoing and NPI lead work in breeding colonies. For fish and birds, organ specific distributions of pollutants and organ specific annual composition of fat, protein and energy will be quantified to determine their critical periods of effects in relation to time of year. From this, combined with habitat use and activity levels, critical periods of effects can be predicted.

pi_email: oystein.varpe@unis.no
projectID: cant remember
pi_address: UNIS
recordedBy: Robynne Nowicki
pi_institution: UNIS
Created: 2020-05-06T13:42:08
Modified: 2021-08-12T10:51:21
History: 2020-05-06T13:42:08Z: Initial read in of the log files. 2021-08-12T07:44:42Z: Standardising PI names 2021-08-12T10:51:21Z: Standardising PI email and institutions
Source document: Robynne-AeN_Aug_19_cruise-macrozooplankton_Energy-_corrected.xlsx
Taxon: Thysanoessa inermis
statID: 102
recordNumber: 23
measurementRemarks: 9 individuals- Length: 20-30 and carapace less than 10
T2-2.5 Critical seasonal windows of responses to multiple stressors on key organisms of benthic and pelagic food chains
Event ID: 4bf0cf78-b8f5-11e9-8f49-000c29fb4a96
Parent Event ID: 7d56ebe6-ba42-11e9-8f49-000c29fb4a96
Event date: 2019-08-08T17:21:00
Station: P1 (NLEG01)
Location: 76° 2' 10" N , 31° 4' 18" E
Cruise number: 2019706
Cruise name: 2019 Seasonal Study Q3
Sampletype: Macrozooplankton biomass
Sampling protocol: Nansen Legacy Sampling protocols v4 July 12 2019, 13.2
Gear type: Macroplankton trawl
Bottom depth (m): 332.48

Person of Interest

Name: Øystein Varpe
Email: Oystein.varpe@unis.no
Institution: University of Bergen

Show more metadata

T2-2.5 Critical seasonal windows of responses to multiple stressors on key organisms of benthic and pelagic food chains
pi_name: Oystein Varpe
Abstract
Due to climate change and pollution Arctic ecosystems are exposed to multiple stressors. Arctic ecosystems are highly seasonal and include substantial changes in the lipid composition of the organisms throughout the year. In periods with lipid mobilization many marine species will be prone to external stressors which may influence their ecology, physiology and biochemistry. These “critical periods of effects” (when energy stores are depleted and pollutants are remobilized from lipids to blood and other body organs) need to be determined in Arctic species belonging to the benthic and pelagic food chain. Key species in the benthic (amphipods, bivalves and common eiders) and pelagic (macrozooplankton, polar cod and kittiwakes) food web will be sampled throughout the year, with seabird data primarily from collaboration with ongoing and NPI lead work in breeding colonies. For fish and birds, organ specific distributions of pollutants and organ specific annual composition of fat, protein and energy will be quantified to determine their critical periods of effects in relation to time of year. From this, combined with habitat use and activity levels, critical periods of effects can be predicted.

pi_email: oystein.varpe@unis.no
projectID: cant remember
pi_address: UNIS
recordedBy: Robynne Nowicki
pi_institution: UNIS
Created: 2020-05-06T13:42:08
Modified: 2021-08-12T10:51:21
History: 2020-05-06T13:42:08Z: Initial read in of the log files. 2021-08-12T07:44:42Z: Standardising PI names 2021-08-12T10:51:21Z: Standardising PI email and institutions
Source document: Robynne-AeN_Aug_19_cruise-macrozooplankton_Energy-_corrected.xlsx
Taxon: Hyperoche medusarium
statID: 102
recordNumber: 21
measurementRemarks: 5 individuals- Length: less than 10
T2-2.5 Critical seasonal windows of responses to multiple stressors on key organisms of benthic and pelagic food chains
Event ID: 4bf0cf76-b8f5-11e9-8f49-000c29fb4a96
Parent Event ID: 7d56ebe6-ba42-11e9-8f49-000c29fb4a96
Event date: 2019-08-08T17:21:00
Station: P1 (NLEG01)
Location: 76° 2' 10" N , 31° 4' 18" E
Cruise number: 2019706
Cruise name: 2019 Seasonal Study Q3
Sampletype: Macrozooplankton biomass
Sampling protocol: Nansen Legacy Sampling protocols v4 July 12 2019, 13.2
Gear type: Macroplankton trawl
Bottom depth (m): 332.48

Person of Interest

Name: Øystein Varpe
Email: Oystein.varpe@unis.no
Institution: University of Bergen

Show more metadata

T2-2.5 Critical seasonal windows of responses to multiple stressors on key organisms of benthic and pelagic food chains
pi_name: Oystein Varpe
Abstract
Due to climate change and pollution Arctic ecosystems are exposed to multiple stressors. Arctic ecosystems are highly seasonal and include substantial changes in the lipid composition of the organisms throughout the year. In periods with lipid mobilization many marine species will be prone to external stressors which may influence their ecology, physiology and biochemistry. These “critical periods of effects” (when energy stores are depleted and pollutants are remobilized from lipids to blood and other body organs) need to be determined in Arctic species belonging to the benthic and pelagic food chain. Key species in the benthic (amphipods, bivalves and common eiders) and pelagic (macrozooplankton, polar cod and kittiwakes) food web will be sampled throughout the year, with seabird data primarily from collaboration with ongoing and NPI lead work in breeding colonies. For fish and birds, organ specific distributions of pollutants and organ specific annual composition of fat, protein and energy will be quantified to determine their critical periods of effects in relation to time of year. From this, combined with habitat use and activity levels, critical periods of effects can be predicted.

pi_email: oystein.varpe@unis.no
projectID: cant remember
pi_address: UNIS
recordedBy: Robynne Nowicki
pi_institution: UNIS
Created: 2020-05-06T13:42:08
Modified: 2021-08-12T10:51:21
History: 2020-05-06T13:42:08Z: Initial read in of the log files. 2021-08-12T07:44:42Z: Standardising PI names 2021-08-12T10:51:21Z: Standardising PI email and institutions
Source document: Robynne-AeN_Aug_19_cruise-macrozooplankton_Energy-_corrected.xlsx
Taxon: Themisto libellula
statID: 102
recordNumber: 19
measurementRemarks: 5 individuals- Length: about 20
Effects of changes in species composition and distribution on contaminant food web accumulation
Event ID: 12ee858c-b8ea-11e9-8f49-000c29fb4a96
Parent Event ID: 7d56ebe6-ba42-11e9-8f49-000c29fb4a96
Event date: 2019-08-08T17:21:00
Station: P1 (NLEG01)
Location: 76° 2' 10" N , 31° 4' 18" E
Cruise number: 2019706
Cruise name: 2019 Seasonal Study Q3
Sampletype: Ecotoxicology
Sampling protocol: Nansen Legacy Version 4
Gear type: Macroplankton trawl
Bottom depth (m): 332.48

Person of Interest

Name: Katrine Borgå
Email: katrine.borga@ibv.uio.no
Institution: University of Oslo

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Effects of changes in species composition and distribution on contaminant food web accumulation
pi_name: Katrine Borgå
Abstract
Work description As changes in temperature and sea ice distribution and thickness is expected in the region of interest, the energy transfer processes in the food web are expected to be changed compared to previous decades. Zooplankton and fish samples will be collected focusing on the process study cruises. From these, chemicals representing lipid soluble and protein associated contaminants will be analyzed, in addition to dietary descriptors to trace energy source (stable isotopes and lipid analyses). This will be repeated in the different seasons to interpret the annual dynamics of contaminant accumulation and transfer in the food web related to energy use and availability. So far, seasonal food web data are only available from Arctic fjords. At the UiO stable isotope lab, we will measure bulk C, H, N, O and S in organic material, and thus the ratios between lipid/protein/carbohydrate will be analyzed in small amounts of sample without extraction to assess the proximate biochemical composition. Model predictions of climate change effect on food web accumulation of contaminants include reduced accumulation due to predicted reduction in lipid storage. Bioaccumulation changes due to altered dietary composition is predicted to have less influence than the predicted lower lipid content. These predictions will be tested in the present task. A similar approach of sampling the central Barents Sea pelagic food web was taken in May 1998 (however, only with bulk stable isotope analyses of 13C and 15N), which allows a thorough comparison between the environmental states two decades apart. (From Nansen Legacy implementation plan)

pi_email: Katrine.borga@ibv.uio.no
projectID: RCN # 276730
pi_address: Kristine Bonnevieshus, Blindernveien, University of Oslo
recordedBy: Julia Giebichenstein, Rita Amundsen
pi_institution: University of Oslo
Created: 2020-05-06T13:42:38
Modified: 2021-08-12T09:34:40
History: 2020-05-06T13:42:38Z: Initial read in of the log files. 2021-08-12T09:34:40Z: Standardising PI email and institutions
Source document: AeN_2019706_Zooplankton_JuliaGiebichenstein.xlsx
statID: 102
storageTemp: neg 20 C
recordNumber: 17
weightInGrams: 9
intendedMethod: POPs
individualCount: 16
Macrozooplankton
Event ID: c41998e0-b8eb-11e9-8f49-000c29fb4a96
Parent Event ID: 7d56ebe6-ba42-11e9-8f49-000c29fb4a96
Event date: 2019-08-08T17:21:00
Station: P1 (NLEG01)
Location: 76° 2' 10" N , 31° 4' 18" E
Cruise number: 2019706
Cruise name: 2019 Seasonal Study Q3
Sampletype: Macrozooplankton taxonomy
Sampling protocol: Nansen Legacy Sampling protocols v4 July 12 2019, 9.3.5 MIK net manual; heaving speed similar to deploying
Gear type: Macroplankton trawl
Bottom depth (m): 332.48

Person of Interest

Name: Espen Bagøien
Email: espen.bagoien@hi.no
Institution: Institute of Marine Research

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Macrozooplankton
pi_name: Espen Bagoien
Abstract
Biomass and Taxonomy of macrozooplankton

pi_email: espen.bagoien@hi.no
projectID: RCN#276730
pi_address: Institute of Marine Research, Bergen, Norway
recordedBy: Padmini Dalpadado
pi_institution: Institute of Marine Research, Bergen, Norway
Created: 2020-05-06T13:43:03
Modified: 2021-08-12T08:58:43
History: 2020-05-06T13:43:03Z: Initial read in of the log files. 2021-08-12T08:58:43Z: Standardising PI email and institutions
Event remarks: V-haul
Source document: AeN_2019706_Macrozooplankton_Padmini.xlsx
statID: 102
fixative: Formalin
fieldNotes: taxonomy & biomass of the same
storageTemp: Room temp
weightInGrams: 56.9
maximumDepthInMeters: 300
minimumDepthInMeters: 0

Person of interest

Institution

Macrozooplankton

Macrozooplankton

Abstract

T2-2.5 Critical seasonal windows of responses to multiple stressors on key organisms of benthic and pelagic food chains

T2-2.5 Critical seasonal windows of responses to multiple stressors on key organisms of benthic and pelagic food chains

Abstract

T2-2.5 Critical seasonal windows of responses to multiple stressors on key organisms of benthic and pelagic food chains

T2-2.5 Critical seasonal windows of responses to multiple stressors on key organisms of benthic and pelagic food chains

Abstract

T2-2.5 Critical seasonal windows of responses to multiple stressors on key organisms of benthic and pelagic food chains

T2-2.5 Critical seasonal windows of responses to multiple stressors on key organisms of benthic and pelagic food chains

Abstract

T2-2.5 Critical seasonal windows of responses to multiple stressors on key organisms of benthic and pelagic food chains

T2-2.5 Critical seasonal windows of responses to multiple stressors on key organisms of benthic and pelagic food chains

Abstract

T2-2.5 Critical seasonal windows of responses to multiple stressors on key organisms of benthic and pelagic food chains

T2-2.5 Critical seasonal windows of responses to multiple stressors on key organisms of benthic and pelagic food chains

Abstract

T2-2.5 Critical seasonal windows of responses to multiple stressors on key organisms of benthic and pelagic food chains

T2-2.5 Critical seasonal windows of responses to multiple stressors on key organisms of benthic and pelagic food chains

Abstract

T2-2.5 Critical seasonal windows of responses to multiple stressors on key organisms of benthic and pelagic food chains

T2-2.5 Critical seasonal windows of responses to multiple stressors on key organisms of benthic and pelagic food chains

Abstract

Effects of changes in species composition and distribution on contaminant food web accumulation

Effects of changes in species composition and distribution on contaminant food web accumulation

Abstract

Macrozooplankton

Macrozooplankton

Abstract

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Cruise name

Gear Type

Sample type

Sample depth (m)

Station name

Person of interest

Institution

Macrozooplankton

Abstract

T2-2.5 Critical seasonal windows of responses to multiple stressors on key organisms of benthic and pelagic food chains

Abstract

T2-2.5 Critical seasonal windows of responses to multiple stressors on key organisms of benthic and pelagic food chains

Abstract

T2-2.5 Critical seasonal windows of responses to multiple stressors on key organisms of benthic and pelagic food chains

Abstract

T2-2.5 Critical seasonal windows of responses to multiple stressors on key organisms of benthic and pelagic food chains

Abstract

T2-2.5 Critical seasonal windows of responses to multiple stressors on key organisms of benthic and pelagic food chains

Abstract

T2-2.5 Critical seasonal windows of responses to multiple stressors on key organisms of benthic and pelagic food chains

Abstract

T2-2.5 Critical seasonal windows of responses to multiple stressors on key organisms of benthic and pelagic food chains

Abstract

Effects of changes in species composition and distribution on contaminant food web accumulation

Abstract

Macrozooplankton

Abstract

Links

Cruise name

Gear Type

Sample type

Sample depth (m)