DataSheet_1_Large protistan mixotrophs in the North Atlantic Continuous Plankton Recorder time series: associated environmental conditions and trends.xlsx
Aquatic ecologists are integrating mixotrophic plankton – here defined as microorganisms with photosynthetic and phagotrophic capacity – into their understanding of marine food webs and biogeochemical cycles. Understanding mixotroph temporal and spatial distributions, as well as the environmental co...
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ftfrontimediafig:oai:figshare.com:article/25396852 2024-09-15T18:21:27+00:00 DataSheet_1_Large protistan mixotrophs in the North Atlantic Continuous Plankton Recorder time series: associated environmental conditions and trends.xlsx Karen Stamieszkin Nicole C. Millette Jessica Y. Luo Elizabeth Follett Nicholas R. Record David G. Johns 2024-03-13T04:11:11Z https://doi.org/10.3389/fmars.2024.1320046.s002 https://figshare.com/articles/dataset/DataSheet_1_Large_protistan_mixotrophs_in_the_North_Atlantic_Continuous_Plankton_Recorder_time_series_associated_environmental_conditions_and_trends_xlsx/25396852 unknown doi:10.3389/fmars.2024.1320046.s002 https://figshare.com/articles/dataset/DataSheet_1_Large_protistan_mixotrophs_in_the_North_Atlantic_Continuous_Plankton_Recorder_time_series_associated_environmental_conditions_and_trends_xlsx/25396852 CC BY 4.0 Oceanography Marine Biology Marine Geoscience Biological Oceanography Chemical Oceanography Physical Oceanography Marine Engineering mixotroph continuous plankton recorder North Atlantic AMO stratification nutrient limitation Dataset 2024 ftfrontimediafig https://doi.org/10.3389/fmars.2024.1320046.s002 2024-08-19T06:19:45Z Aquatic ecologists are integrating mixotrophic plankton – here defined as microorganisms with photosynthetic and phagotrophic capacity – into their understanding of marine food webs and biogeochemical cycles. Understanding mixotroph temporal and spatial distributions, as well as the environmental conditions under which they flourish, is imperative to understanding their impact on trophic transfer and biogeochemical cycling. Mixotrophs are hypothesized to outcompete strict photoautotrophs and heterotrophs when either light or nutrients are limiting, but testing this hypothesis has been hindered by the challenge of identifying and quantifying mixotrophs in the field. Using field observations from a multi-decadal northern North Atlantic dataset, we calculated the proportion of organisms that are considered mixotrophs within individual microplankton samples. We also calculated a “trophic index” that represents the relative proportions of photoautotrophs (phytoplankton), mixotrophs, and heterotrophs (microzooplankton) in each sample. We found that the proportion of mixotrophs was positively correlated with temperature, and negatively with either light or inorganic nutrient concentration. This proportion was highest during summertime thermal stratification and nutrient limitation, and lowest during the North Atlantic spring bloom period. Between 1958 and 2015, changes in the proportion of mixotrophs coincided with changes in the Atlantic Multi-decadal Oscillation (AMO), was highest when the AMO was positive, and showed a significant uninterrupted increase in offshore regions from 1992-2015. This study provides an empirical foundation for future experimental, time series, and modeling studies of aquatic mixotrophs. Dataset North Atlantic Frontiers: Figshare |
institution |
Open Polar |
collection |
Frontiers: Figshare |
op_collection_id |
ftfrontimediafig |
language |
unknown |
topic |
Oceanography Marine Biology Marine Geoscience Biological Oceanography Chemical Oceanography Physical Oceanography Marine Engineering mixotroph continuous plankton recorder North Atlantic AMO stratification nutrient limitation |
spellingShingle |
Oceanography Marine Biology Marine Geoscience Biological Oceanography Chemical Oceanography Physical Oceanography Marine Engineering mixotroph continuous plankton recorder North Atlantic AMO stratification nutrient limitation Karen Stamieszkin Nicole C. Millette Jessica Y. Luo Elizabeth Follett Nicholas R. Record David G. Johns DataSheet_1_Large protistan mixotrophs in the North Atlantic Continuous Plankton Recorder time series: associated environmental conditions and trends.xlsx |
topic_facet |
Oceanography Marine Biology Marine Geoscience Biological Oceanography Chemical Oceanography Physical Oceanography Marine Engineering mixotroph continuous plankton recorder North Atlantic AMO stratification nutrient limitation |
description |
Aquatic ecologists are integrating mixotrophic plankton – here defined as microorganisms with photosynthetic and phagotrophic capacity – into their understanding of marine food webs and biogeochemical cycles. Understanding mixotroph temporal and spatial distributions, as well as the environmental conditions under which they flourish, is imperative to understanding their impact on trophic transfer and biogeochemical cycling. Mixotrophs are hypothesized to outcompete strict photoautotrophs and heterotrophs when either light or nutrients are limiting, but testing this hypothesis has been hindered by the challenge of identifying and quantifying mixotrophs in the field. Using field observations from a multi-decadal northern North Atlantic dataset, we calculated the proportion of organisms that are considered mixotrophs within individual microplankton samples. We also calculated a “trophic index” that represents the relative proportions of photoautotrophs (phytoplankton), mixotrophs, and heterotrophs (microzooplankton) in each sample. We found that the proportion of mixotrophs was positively correlated with temperature, and negatively with either light or inorganic nutrient concentration. This proportion was highest during summertime thermal stratification and nutrient limitation, and lowest during the North Atlantic spring bloom period. Between 1958 and 2015, changes in the proportion of mixotrophs coincided with changes in the Atlantic Multi-decadal Oscillation (AMO), was highest when the AMO was positive, and showed a significant uninterrupted increase in offshore regions from 1992-2015. This study provides an empirical foundation for future experimental, time series, and modeling studies of aquatic mixotrophs. |
format |
Dataset |
author |
Karen Stamieszkin Nicole C. Millette Jessica Y. Luo Elizabeth Follett Nicholas R. Record David G. Johns |
author_facet |
Karen Stamieszkin Nicole C. Millette Jessica Y. Luo Elizabeth Follett Nicholas R. Record David G. Johns |
author_sort |
Karen Stamieszkin |
title |
DataSheet_1_Large protistan mixotrophs in the North Atlantic Continuous Plankton Recorder time series: associated environmental conditions and trends.xlsx |
title_short |
DataSheet_1_Large protistan mixotrophs in the North Atlantic Continuous Plankton Recorder time series: associated environmental conditions and trends.xlsx |
title_full |
DataSheet_1_Large protistan mixotrophs in the North Atlantic Continuous Plankton Recorder time series: associated environmental conditions and trends.xlsx |
title_fullStr |
DataSheet_1_Large protistan mixotrophs in the North Atlantic Continuous Plankton Recorder time series: associated environmental conditions and trends.xlsx |
title_full_unstemmed |
DataSheet_1_Large protistan mixotrophs in the North Atlantic Continuous Plankton Recorder time series: associated environmental conditions and trends.xlsx |
title_sort |
datasheet_1_large protistan mixotrophs in the north atlantic continuous plankton recorder time series: associated environmental conditions and trends.xlsx |
publishDate |
2024 |
url |
https://doi.org/10.3389/fmars.2024.1320046.s002 https://figshare.com/articles/dataset/DataSheet_1_Large_protistan_mixotrophs_in_the_North_Atlantic_Continuous_Plankton_Recorder_time_series_associated_environmental_conditions_and_trends_xlsx/25396852 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_relation |
doi:10.3389/fmars.2024.1320046.s002 https://figshare.com/articles/dataset/DataSheet_1_Large_protistan_mixotrophs_in_the_North_Atlantic_Continuous_Plankton_Recorder_time_series_associated_environmental_conditions_and_trends_xlsx/25396852 |
op_rights |
CC BY 4.0 |
op_doi |
https://doi.org/10.3389/fmars.2024.1320046.s002 |
_version_ |
1810460007494320128 |