Microscopy cell counts from multivariate mesocosm experiments conducted with a natural phytoplankton community from Narragansett Bay, RI

Website: https://www.bco-dmo.org/dataset/848977
Data Type: Other Field Results
Version: 1
Version Date: 2021-04-14

Project
» Dimensions: Collaborative Research: Genetic, functional and phylogenetic diversity determines marine phytoplankton community responses to changing temperature and nutrients (Phytoplankton Community Responses)

Program
» Dimensions of Biodiversity (Dimensions of Biodiversity)
ContributorsAffiliationRole
Anderson, Stephanie I.University of Rhode Island (URI-GSO)Principal Investigator, Contact
Franze, GayantoniaInstitute of Marine Research (Bergen, Norway) (IMR)Co-Principal Investigator
Hutchins, David A.University of Southern California (USC)Co-Principal Investigator
Kling, Joshua D.University of California-Berkeley (UC Berkeley)Co-Principal Investigator
Kremer, Colin T.University of California-Los Angeles (UCLA)Co-Principal Investigator
Litchman, ElenaMichigan State University (MSU)Co-Principal Investigator
Menden-Deuer, SusanneUniversity of Rhode Island (URI-GSO)Co-Principal Investigator
Rynearson, Tatiana A.University of Rhode Island (URI-GSO)Co-Principal Investigator
Wilburn, PaulMichigan State University (MSU)Co-Principal Investigator
Heyl, TaylorWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager
Rauch, ShannonWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager

Abstract
This dataset represents microscopy cell counts from multivariate mesocosm experiments conducted with a natural phytoplankton community from Narragansett Bay, RI. These data were assessed in Anderson et al. The Interactive Effects of Temperature and Nutrients on a Spring Phytoplankton Community (in prep).


Coverage

Spatial Extent: Lat:41.57 Lon:-71.39
Temporal Extent: 2017-03-20

Acquisition Description

Multivariate mesocosm experiments were conducted with a natural phytoplankton community from Narragansett Bay, RI. Water was incubated in triplicate at -0.5ºC, 2.6ºC, and 6ºC for 10 days. At each temperature, treatments included both nutrient amendments (N, P, Si addition) and controls (no macronutrients added).

At the onset and conclusion of the incubation experiments, the microplankton community was identified and quantified to discern treatment effects on community composition. Aliquots from each incubation were fixed in triplicate with 2% acid Lugol’s solution for microscopy, final concentration. Cell enumeration was conducted by performing cell counts ~>10 micrometer (µm) on a 1 milliliter (ml) Sedgewick cell-counting chamber (Structure Probe Inc.) using an Eclipse E800 microscope (Nikon).

These data were assessed as part of “The Interactive Effects of Temperature and Nutrients on a Spring Phytoplankton Community” (Anderson et al, in prep).


Processing Description

BCO-DMO processing description:

- Adjusted field/parameter names to comply with database requirements
- Missing data identifier ‘NA’ and ‘N/A’ replaced with 'nd' (BCO-DMO's default missing data identifier)
- Added a conventional header with dataset name, PI names, version date


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Related Publications

Anderson et al. (in prep). The Interactive Effects of Temperature and Nutrients on a Spring Phytoplankton Community.
Results

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Related Datasets

IsRelatedTo
Anderson, S. I., Franze, G., Kling, J. D., Wilburn, P., Kremer, C. T., Menden-Deuer, S., Litchman, E., Hutchins, D. A., Rynearson, T. A. (2021) Elemental composition of phytoplankton communities from multivariate mesocosm experiments conducted with a natural phytoplankton community from Narragansett Bay, RI. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2021-04-26 doi:10.26008/1912/bco-dmo.848587.1 [view at BCO-DMO]
Anderson, S. I., Franze, G., Kling, J. D., Wilburn, P., Kremer, C. T., Menden-Deuer, S., Litchman, E., Hutchins, D. A., Rynearson, T. A. (2021) Size-fractionated chlorophyll a from multivariate mesocosm experiments conducted with a natural phytoplankton community from Narragansett Bay, RI. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2021-04-14 doi:10.26008/1912/bco-dmo.848948.1 [view at BCO-DMO]

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Parameters

ParameterDescriptionUnits
TreatmentTreatment identification. Letter corresponds to temperature treatment, L=low (-5_C), M=medium (2.6_C), H=high (6_C); and symbol describes whether macronutrients were added (+) or not (-). T0 is initial community. days
ReplicateBiological replicate identification unitless
TemperatureNutrient treatment in which incubation was conducted degrees celcius (¡C)
NutrientNutrient treatment in which incubation was conducted unitless
Total_abundanceTotal cell abundance cells per liter (cells/L)
Alexandrium_spSpecies abundance cells per liter (cells/L)
Asterionellopsis_glacialisSpecies abundance cells per liter (cells/L)
Bacteriastrum_spSpecies abundance cells per liter (cells/L)
Cerataulina_pelagicaSpecies abundance cells per liter (cells/L)
Chaetoceros_affinisSpecies abundance cells per liter (cells/L)
Chaetoceros_atlanticusSpecies abundance cells per liter (cells/L)
Chaetoceros_compressusSpecies abundance cells per liter (cells/L)
Chaetoceros_costatusSpecies abundance cells per liter (cells/L)
Chaetoceros_danicusSpecies abundance cells per liter (cells/L)
Chaetoceros_debilisSpecies abundance cells per liter (cells/L)
Chaetoceros_decipiensSpecies abundance cells per liter (cells/L)
Chaetoceros_diademaSpecies abundance cells per liter (cells/L)
Chaetoceros_didymusSpecies abundance cells per liter (cells/L)
Chaetoceros_laciniosusSpecies abundance cells per liter (cells/L)
Chaetoceros_mitraSpecies abundance cells per liter (cells/L)
Chaetoceros_similisSpecies abundance cells per liter (cells/L)
Chaetoceros_sppSpecies abundance cells per liter (cells/L)
Chaetoceros_subtilisSpecies abundance cells per liter (cells/L)
Chaetoceros_winghamiiSpecies abundance cells per liter (cells/L)
Coscinodiscus_sppSpecies abundance cells per liter (cells/L)
Cylindrotheca_closteriumSpecies abundance cells per liter (cells/L)
Dactyliosolen_blavyanusSpecies abundance cells per liter (cells/L)
Dactyliosolen_fragilissimusSpecies abundance cells per liter (cells/L)
Diatom_unknownSpecies abundance cells per liter (cells/L)
Dictyocha_speculumSpecies abundance cells per liter (cells/L)
Dinoflagellates_unknownSpecies abundance cells per liter (cells/L)
Ditylum_brightwelliiSpecies abundance cells per liter (cells/L)
Flagellate_unknownSpecies abundance cells per liter (cells/L)
Guinardia_delicatulaSpecies abundance cells per liter (cells/L)
Gymnodinium_sppSpecies abundance cells per liter (cells/L)
Gyrodinium_sppSpecies abundance cells per liter (cells/L)
Heterocapsa_rotundataSpecies abundance cells per liter (cells/L)
Heterocapsa_triquetraSpecies abundance cells per liter (cells/L)
Leptocylindrus_danicusSpecies abundance cells per liter (cells/L)
Leptocylindrus_minimusSpecies abundance cells per liter (cells/L)
Licmophora_sppSpecies abundance cells per liter (cells/L)
Melosira_sppSpecies abundance cells per liter (cells/L)
Odontella_sppSpecies abundance cells per liter (cells/L)
Paralia_sulcataSpecies abundance cells per liter (cells/L)
Pennate_unknownSpecies abundance cells per liter (cells/L)
Phaeocystis_sppSpecies abundance cells per liter (cells/L)
Pleurosigma_sppSpecies abundance cells per liter (cells/L)
Prorocentrum_sppSpecies abundance cells per liter (cells/L)
Protoperidinium_sppSpecies abundance cells per liter (cells/L)
Pseudonitzschia_sppSpecies abundance cells per liter (cells/L)
Rhabdonema_adriaticumSpecies abundance cells per liter (cells/L)
Rhizosolenia_pungensSpecies abundance cells per liter (cells/L)
Rhizosolenia_setigeraSpecies abundance cells per liter (cells/L)
Rhizosolenia_sppSpecies abundance cells per liter (cells/L)
Rhizosolenia_styliformis_imbricataSpecies abundance cells per liter (cells/L)
Skeletonema_sppSpecies abundance cells per liter (cells/L)
Thalassionema_nitzschioidesSpecies abundance cells per liter (cells/L)
Thalassiosira_nordenskioeldiiSpecies abundance cells per liter (cells/L)
Thalassiosira_rotulaSpecies abundance cells per liter (cells/L)
Thalassiosira_sppSpecies abundance cells per liter (cells/L)


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Instruments

Dataset-specific Instrument Name
Eclipse E800 microscope (Nikon)
Generic Instrument Name
Microscope - Optical
Generic Instrument Description
Instruments that generate enlarged images of samples using the phenomena of reflection and absorption of visible light. Includes conventional and inverted instruments. Also called a "light microscope".


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Project Information

Dimensions: Collaborative Research: Genetic, functional and phylogenetic diversity determines marine phytoplankton community responses to changing temperature and nutrients (Phytoplankton Community Responses)

Coverage: Narragansett Bay, RI and Bermuda, Bermuda Atlantic Time-series Study (BATS)


NSF Award Abstract:
Photosynthetic marine microbes, phytoplankton, contribute half of global primary production, form the base of most aquatic food webs and are major players in global biogeochemical cycles. Understanding their community composition is important because it affects higher trophic levels, the cycling of energy and elements and is sensitive to global environmental change. This project will investigate how phytoplankton communities respond to two major global change stressors in aquatic systems: warming and changes in nutrient availability. The researchers will work in two marine systems with a long history of environmental monitoring, the temperate Narragansett Bay estuary in Rhode Island and a subtropical North Atlantic site near Bermuda. They will use field sampling and laboratory experiments with multiple species and varieties of phytoplankton to assess the diversity in their responses to different temperatures under high and low nutrient concentrations. If the diversity of responses is high within species, then that species may have a better chance to adapt to rising temperatures and persist in the future. Some species may already be able to grow at high temperatures; consequently, they may become more abundant as the ocean warms. The researchers will incorporate this response information in mathematical models to predict how phytoplankton assemblages would reorganize under future climate scenarios. Graduate students and postdoctoral associates will be trained in diverse scientific approaches and techniques such as shipboard sampling, laboratory experiments, genomic analyses and mathematical modeling. The results of the project will be incorporated into K-12 teaching, including an advanced placement environmental science class for underrepresented minorities in Los Angeles, data exercises for rural schools in Michigan and disseminated to the public through an environmental journalism institute based in Rhode Island.

Predicting how ecological communities will respond to a changing environment requires knowledge of genetic, phylogenetic and functional diversity within and across species. This project will investigate how the interaction of phylogenetic, genetic and functional diversity in thermal traits within and across a broad range of species determines the responses of marine phytoplankton communities to rising temperature and changing nutrient regimes. High genetic and functional diversity within a species may allow evolutionary adaptation of that species to warming. If the phylogenetic and functional diversity is higher across species, species sorting and ecological community reorganization is likely. Different marine sites may have a different balance of genetic and functional diversity within and across species and, thus, different contribution of evolutionary and ecological responses to changing climate. The research will be conducted at two long-term time series sites in the Atlantic Ocean, the Narragansett Bay Long-Term Plankton Time Series and the Bermuda Atlantic Time Series (BATS) station. The goal is to assess intra- and inter-specific genetic and functional diversity in thermal responses at contrasting nutrient concentrations for a representative range of species in communities at the two sites in different seasons, and use this information to parameterize eco-evolutionary models embedded into biogeochemical ocean models to predict responses of phytoplankton communities to projected rising temperatures under realistic nutrient conditions. Model predictions will be informed by and tested with field data, including the long-term data series available for both sites and in community temperature manipulation experiments. This project will provide novel information on existing intraspecific genetic and functional thermal diversity for many ecologically and biogeochemically important phytoplankton species, estimate generation of new genetic and functional diversity in evolution experiments, and develop and parameterize novel eco-evolutionary models interfaced with ocean biogeochemical models to predict future phytoplankton community structure. The project will also characterize the interaction of two major global change stressors, warming and changing nutrient concentrations, as they affect phytoplankton diversity at functional, genetic, and phylogenetic levels. In addition, the project will develop novel modeling methodology that will be broadly applicable to understanding how other types of complex ecological communities may adapt to a rapidly warming world.



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Program Information

Dimensions of Biodiversity (Dimensions of Biodiversity)


Coverage: global


(adapted from the NSF Synopsis of Program)
Dimensions of Biodiversity is a program solicitation from the NSF Directorate for Biological Sciences. FY 2010 was year one of the program.  [MORE from NSF]

The NSF Dimensions of Biodiversity program seeks to characterize biodiversity on Earth by using integrative, innovative approaches to fill rapidly the most substantial gaps in our understanding. The program will take a broad view of biodiversity, and in its initial phase will focus on the integration of genetic, taxonomic, and functional dimensions of biodiversity. Project investigators are encouraged to integrate these three dimensions to understand the interactions and feedbacks among them. While this focus complements several core NSF programs, it differs by requiring that multiple dimensions of biodiversity be addressed simultaneously, to understand the roles of biodiversity in critical ecological and evolutionary processes.



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Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)

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