Abiotic and biotic data from Zostera Experimental Network (ZEN) 2014 surveys (ZEN 2 project)

Website: https://www.bco-dmo.org/dataset/712069
Data Type: Other Field Results
Version: 1
Version Date: 2016-09-26

Project
» Global biodiversity and functioning of eelgrass ecosystems (Zostera Experimental Network 2) (ZEN 2)
ContributorsAffiliationRole
Duffy, J. EmmettSmithsonian Institution (TMON)Principal Investigator
Hovel, Kevin AlexanderSan Diego State University (SDSU)Co-Principal Investigator
Stachowicz, John J.University of California-Irvine (UC Irvine)Co-Principal Investigator
Reynolds, Pamela LUniversity of California-Davis (UC Davis)Scientist, Contact
Copley, NancyWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager

Abstract
This dataset includes biomass and diversity measurements of eelgrass communities from 50 sites across the Northern Hemisphere. The purpose was to study the plant and animal responses to top-down and bottom-up manipulations in eelgrass (Zostera marina) habitat.


Coverage

Spatial Extent: N:67.267 E:0.01 S:30.42 W:144
Temporal Extent: 2014-05-16 - 2014-09-29

Methods & Sampling

Twenty meter square plots (2 meters apart) were sampled at 50 eelgrass meadows ("sites") in summer 2014. Abiotic parameters were quantified in situ and/or using local monitoring station data. The epifaunal community was quantified as in Duffy et al. 2015. Seagrass density was quantified in 20cm diameter rings, and dry mass from 20 cm diameter cores which captured all above ground mass, and below ground to a depth of 20 cm. A three centimeter section from each of 5 shoots per plot was quantified for leaf carbon and nitrogen (processed at the Virginia Institute of Marine Science), while another 3 cm section was utilized for plant genetic analyses (processed by J. Olsen at the University of Groningen). Additional details are included in the Zostera Experimental Network 2014 survey handbook protocol, available upon request.

Methodology is available from: J. Emmett Duffy, et al. Biodiversity mediates top-down control in eelgrass ecosystems: A global comparative-experimental approach. 2015. Ecology Letters 18:7 (696–705). DOI: 10.1111/ele.12448.


Data Processing Description

Data were aggregated and quality checked manually and through use of analysis scripts. Biotic values are site means.

BCO-DMO Processing:
- added conventional header with dataset name, PI name, version date
- renamed some parameters to BCO-DMO standard
- replaced . with _
- replaced special characters with ascii characters
- reformatted date from m/d/y to yyyy-mm-dd
- reduced digits to right of decimal
- sorted data by Latitude


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Data Files

File
ZEN2_survey_sorted.csv
(Comma Separated Values (.csv), 26.81 KB)
MD5:6f1efa5e48fb9a66b9af7b21926e9ade
Primary data file for dataset ID 712069

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Related Publications

Duffy, J. E., P.-O. Moksnes, and A. R. Hughes. (2013). Ecology of Seagrass Communities. Pages 271–297 in M. D. Bertness, J. F. Bruno, B. R. Silliman, and J. J. Stachowicz, editors. "Marine Community Ecology and Conservation". Sinauer Associates, Sunderland, Massachusetts. https://isbnsearch.org/isbn/978-1605352282
Results
Duffy, J. E., Reynolds, P. L., Boström, C., Coyer, J. A., Cusson, M., Donadi, S., … Stachowicz, J. J. (2015). Biodiversity mediates top-down control in eelgrass ecosystems: a global comparative-experimental approach. Ecology Letters, 18(7), 696–705. https://doi.org/10.1111/ele.12448
Results
Reynolds, P. L., Richardson, J. P., & Duffy, J. E. (2014). Field experimental evidence that grazers mediate transition between microalgal and seagrass dominance. Limnology and Oceanography, 59(3), 1053–1064. https://doi.org/10.4319/lo.2014.59.3.1053
Results
Whalen, M. A., Duffy, J. E., & Grace, J. B. (2013). Temporal shifts in top-down vs. bottom-up control of epiphytic algae in a seagrass ecosystem. Ecology, 94(2), 510–520. https://doi.org/10.1890/12-0156.1
Results

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Parameters

ParameterDescriptionUnits
Site_CodeTwo letter code for the specific ZEN partner (25 total). unitless
SiteThe 2 letter ZEN Site.Code followed by the subsite A or B (50 total) unitless
SubsiteDesignation of the ZEN sub-site (A or B; except for LI where it is 1 or 2). unitless
Subsite_NameThe partner-provided name for their subsite (50 total). unitless
OceanTwo choices: Atlantic or Pacific unitless
CoastCombination of Basin and Ocean. Four choices: East.Atlantic; West.Atlantic; East.Pacific; West.Pacific unitless
BasinLocation along the ocean basin margin. Two choices: East or West. unitless
LatitudeLatitude of the site of deployment in decimal degrees decimal degrees
LongitudeLongitude of the site of deployment in decimal degrees decimal degrees
Sampling_TimeTwo choices 1 or 2. Internal coding to differentiate for sites which conducted two separate sampling efforts. unitless
MonthCalendar month in which the sampling occurred. unitless
Date_CollectedSpecific date the specific measurement was collected for a given variable. Format: yyyy-mm-dd unitless
Temperature_CSeawater temperature in degrees Celsius taken in the middle of the seagrass canopy height at low tide during sampling. Appropriate local monitoring station data substituted if in situ data not available. degrees Celsius
Salinity_pptSalinity (in ppt) taken in the middle of the seagrass canopy height at low tide during sampling. Appropriate local monitoring station data substituted if in situ data not available. parts per thousand
Day_length_hoursLength (in hours) of daylight for the day on which the sampling was conducted using date-calendar. hours
GenotypicRichnessGenotypic richness (G-1/N-1) of Zostera marina from one shoot per plot. Provided by J.Olsen. Genotypic richness ranges from 0 (all individuals the same) to 1 (all individuals different) and is a measure of the number of distinct genotypes. (Genotype = a clone.) Genotypes are multilocus with 8 16 or 24 loci involved. unitless
AllelicRichnessAllelic richness (Â) of Zostera marina from one shoot per plot. Provided by J.Olsen. Interpretation: the average number of alleles per locus; normalized to 7 genets. unitless
InbreedingInbreeding coefficient (FIS) of Zostera marina from one shoot per plot. Provided by J.Olsen. unitless
Mean_Shoots_Zmarina_per_m2Mean density of Zostera marina shoots per square meter (from sampling hoops or other methods) shoots per square meter
SD_Shoots_Zmarina_per_m2Standard deviation of the number of Zostera marina shoots per square meter shoots per square meter
SE_Shoots_Zmarina_per_m2Standard error of the number of Zostera marina shoots per square meter shoots per square meter
Mean_Site_Std_PeriphytonMean standardized loading of periphyton (g dried periphyton/dry g Zostera) unitless
SD_Site_Std_PeriphytonStandard deviation of Mean.Site.Std.Periphyton unitless
SE_Site_Std_PeriphytonStandard error of Mean.Site.Std.Periphyton unitless
Mean_Site_Std_SessileInvertebrateMean standardized loading of sessile invertebrates grams dry sessile invertebrates/dry grams Zostera
SD_Site_Std_SessileInvertebrateStandard deviation of Mean.Site.Std.SessileInvertebrate grams dry sessile invertebrates/dry grams Zostera
SE_Site_Std_SessileInvertebrateStandard error of Mean.Site.Std.SessileInvertebrate grams dry sessile invertebrates/dry grams Zostera
Mean_Site_Std_TotalEpibiotaMean standardized loading of total epibiota (periphyton + sessile invertebrates) on Zostera marina grams total dried epibiota/dry grams Zostera
SD_Site_Std_TotalEpibiotaStandard deviation of Mean.Site.Std.TotalEpibiota grams total dried epibiota/dry grams Zostera
SE_Site_Std_TotalEpibiotaStandard error of Mean.Site.Std.TotalEpibiota grams total dried epibiota/dry grams Zostera
Sheath_Width_cmMean widest measurement of the leaf sheath centimeters
Shealth_Length_cmMean length of the longest intact sheath; from the meristem to the top of the sheath centimeters
Longest_Leaf_Length_cmMean length from the meristem to the tip of the longest leaf centimeters
SD_Sheath_Width_cmStandard deviation of Sheath.Width.cm centimeters
SD_Shealth_Length_cmStandard deviation of Sheath.Length.cm centimeters
SD_Longest_Leaf_Length_cmStandard deviation of Longest.Leaf.Length centimeters
SE_Sheath_Width_cmStandard error of Sheath.Width.cm centimeters
SE_Shealth_Length_cmStandard error of Sheath.Length.cm centimeters
SE_Longest_Leaf_Length_cmStandard error of Longest.Leaf.Length centimeters
Below_Zmarina_gMean dry belowground mass (g) of Zostera marina per square meter grams/meter^2
Below_OtherSeagrass_gMean dry belowground mass (g) of seagrass species excluding Zostera marina per square meter grams/meter^2
Above_Zmarina_gMean dry aboveground mass (g) of Zostera marina per square meter grams/meter^2
Above_OtherSeagrass_gMean dry aboveground mass (g) of seagrass species excluding Zostera marina per square meter grams/meter^2
Macroalgae_gMean dry mass (g) of macroalgae per square meter (based on seagrass core collections) grams/meter^2
TOTAL_Seagrass_BiomassMean dry mass (g) of all seagrass (below + above) grams
Total_Seagrass_Biomass_AboveMean dry mass (g) of all aboveground seagrass mass grams
Total_Seagrass_Biomass_BelowMean dry mass (g) of all belowground seagrass mass grams
SD_Below_Zmarina_gStandard deviation of Below.Zmarina.g grams
SD_Below_OtherSeagrass_gStandard deviation of Below.OtherSeagrass.g grams
SD_Mean_Above_Zmarina_gStandard deviation of Above.Zmarina.g grams
SD_Above_OtherSeagrass_gStandard deviation of OtherSeagrass.g grams
SD_Macroalgae_gStandard deviation of Macroalgae.g grams
SD_Mean_Total_Seagrass_Biomass_AboveStandard deviation of Mean.Total.Seagrass.Biomass.Above grams
SD_Mean_Total_Seagrass_Biomass_BelowStandard deviation of Mean.Total.Seagrass.Biomass.Below grams
SE_Below_Zmarina_gStandard error of Below.Zmarina.g grams
SE_Below_OtherSeagrass_gStandard error of Below.OtherSeagrass.g grams
SE_Mean_Above_Zmarina_gStandard error of Above.Zmarina.g grams
SE_Above_OtherSeagrass_gStandard error of OtherSeagrass.g grams
SE_Macroalgae_gStandard error of Macroalgae.g grams
SE_Mean_Total_Seagrass_Biomass_AboveStandard error of Mean.Total.Seagrass.Biomass.Above grams
SE_Mean_Total_Seagrass_Biomass_BelowStandard error of Mean.Total.Seagrass.Biomass.Below grams
Mean_Leaf_PercNMean leaf percent nitrogen in the young growth Zostera marina tissue percent
Mean_Leaf_PercCMean leaf percent carbon in the young growth Zostera marina tissue percent
SD_Mean_Leaf_PercNStandard deviation of Mean.Leaf.PercN percent
SD_Mean_Leaf_PercCStandard deviation of Mean.Leaf.PercC percent
SE_Mean_Leaf_PercNStandard error of Mean.Leaf.PercN percent
SE_Mean_Leaf_PercCStandard error of Mean.Leaf.PercC percent
Mean_Epifaunal_RichnessMean richness of epifanua per plot. Richness counts based on lowest taxonomic resolution identified per specimen (primarily species level) unitless
SE_Epifaunal_RichnessStandard error of Mean.Epifaunal.Richness unitless
SD_Epifaunal_RichnessStandard deviation of Mean.Epifaunal.Richness unitless
Mean_Mesograzer_RichnessMean richness of epifauna per plot identified as mesograzer taxa. Richness counts based on lowest taxonomic resolution identified per specimen (priarily species level) unitless
SE_Mesograzer_RichnessStandard error of Mean.Mesograzer.Richness unitless
SD_Mesograzer_RichnessStandard deviation of Mean.Mesograzer.Richness unitless
Mean_Total_AbundMean total abundance of epifauna per plot sample: counts of animals per dry mass of the plants they were collected from # animals/grams plant
SE_Total_AbundStandard error of Mean.Total.Abund # animals/grams plant
SD_Total_AbundStandard deviation of Mean.Total.Abund # animals/grams plant
Mean_Total_Abund_MesograzersMean total abundance of epifauna per plot sample identified as mesograzer taxa # animals/grams plant
SE_Total_Abund_MesograzersStandard error of Mean.Total.Abund.Mesograzers # animals/grams plant
SD_Total_Abund_MesograzersStandard deviation of Mean.Total.Abund.Mesograzers # animals/grams plant
Mean_Std_Total_AbundMean total abundance of epifauna per plot sample standardized by the total dry mass (g) of macrophytes from which the sample was collected # animals/grams plant
SE_Std_Total_AbundStandard error of Mean.Std.Total.Abund # animals/grams plant
SD_Std_Total_AbundStandard deviation of Mean.Std.Total.Abund # animals/grams plant
Mean_Std_Total_Abund_MesograzersMean total abundance of epifauna per plot sample identified as mesograzer taxa; standardized by the total dry mass (g) of macrophytes from which the sample was collected # animals/grams plant
SE_Std_Total_Abund_MesograzersStandard error of Mean.Std.Total.Abund.Mesograzers # animals/grams plant
SD_Std_Total_Abund_MesograzersStandard deviation of Mean.Std.Total.Abund.Mesograzers # animals/grams plant
Site_Epifaunal_RichnessTotal richness of epifauna at the site. Richness counts based on lowest taxonomic resolution identified per specimen (primarily species level) unitless
Site_Mesograzer_RichnessTotal richness of epifauna identified as mesograzer taxa at the site. Richness counts based on lowest taxonomic resolution identified per specimen (primarily species level) unitless
epifauna_max_sizeMaximum sieve size (mm) of epifauna collected at the site millimeters
epifauna_med_sizeMedian sieve size (mm) of epifauna collected at the site millimeters
mesograzers_max_sizeMaximum sieve size (mm) of epifauna identified to be mesograzer taxa colected at the site millimeters
mesograzers_med_sizeMedian sieve size (mm) of epifauna identified to be mesograzer taxa collected at the site millimeters


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Instruments

Dataset-specific Instrument Name
Generic Instrument Name
CHN Elemental Analyzer
Generic Instrument Description
A CHN Elemental Analyzer is used for the determination of carbon, hydrogen, and nitrogen content in organic and other types of materials, including solids, liquids, volatile, and viscous samples.

Dataset-specific Instrument Name
Generic Instrument Name
Automated DNA Sequencer
Generic Instrument Description
General term for a laboratory instrument used for deciphering the order of bases in a strand of DNA. Sanger sequencers detect fluorescence from different dyes that are used to identify the A, C, G, and T extension reactions. Contemporary or Pyrosequencer methods are based on detecting the activity of DNA polymerase (a DNA synthesizing enzyme) with another chemoluminescent enzyme. Essentially, the method allows sequencing of a single strand of DNA by synthesizing the complementary strand along it, one base pair at a time, and detecting which base was actually added at each step.

Dataset-specific Instrument Name
Generic Instrument Name
Refractometer
Dataset-specific Description
Used to measure salinity
Generic Instrument Description
A refractometer is a laboratory or field device for the measurement of an index of refraction (refractometry). The index of refraction is calculated from Snell's law and can be calculated from the composition of the material using the Gladstone-Dale relation. In optics the refractive index (or index of refraction) n of a substance (optical medium) is a dimensionless number that describes how light, or any other radiation, propagates through that medium.

Dataset-specific Instrument Name
Generic Instrument Name
Thermal Cycler
Generic Instrument Description
A thermal cycler or "thermocycler" is a general term for a type of laboratory apparatus, commonly used for performing polymerase chain reaction (PCR), that is capable of repeatedly altering and maintaining specific temperatures for defined periods of time. The device has a thermal block with holes where tubes with the PCR reaction mixtures can be inserted. The cycler then raises and lowers the temperature of the block in discrete, pre-programmed steps. They can also be used to facilitate other temperature-sensitive reactions, including restriction enzyme digestion or rapid diagnostics. (adapted from http://serc.carleton.edu/microbelife/research_methods/genomics/pcr.html)

Dataset-specific Instrument Name
Generic Instrument Name
Temperature Logger
Dataset-specific Description
HOBO Pendant temperature loggers
Generic Instrument Description
Records temperature data over a period of time.


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Deployments

ZEN2_2014

Website
Platform
eelgrass_beds_global
Start Date
2014-05-16
End Date
2014-09-29
Description
eelgrass community studies


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Project Information

Global biodiversity and functioning of eelgrass ecosystems (Zostera Experimental Network 2) (ZEN 2)


Coverage: 20+ sites located throughout the northern hemisphere


Description from NSF award abstract:
This research will produce the second generation of a global collaborative research project, the Zostera Experimental Network (ZEN), to quantify the interacting influences of environmental forcing, biodiversity, and food-web perturbations on structure and functioning of eelgrass (Zostera marina) beds, the foundation of important but threatened coastal ecosystems worldwide. Partners at 40 sites in 14 countries will conduct parallel, standardized field sampling of producer and consumer biomass and diversity, and measure grazing and predation rates, to produce a global map of biodiversity, biomass distribution among trophic levels, and ecosystem processes in eelgrass habitats. Partners at a subset of core sites will conduct factorial experiments to characterize the interaction of nutrient loading, predator loss, and biogenic habitat structure (eelgrass density) in mediating producer growth and trophic processes in eelgrass. Finally, guided by the results from mechanistic experiments, the global field data will be used to test specific hypotheses about impacts of climate warming, nutrient loading, and declining biodiversity on eelgrass ecosystems via structural equation modeling, a uniquely powerful approach to dissecting complex interacting networks of causality. The proposed research will characterize in unprecedented detail how environmental forcing, biodiversity, and food-web processes interact to mediate functioning of a coastal ecosystem on a global scale. There are four general objectives:

1. Quantify linkages between eelgrass genetic diversity, growth, and provision of animal habitat;

2. Quantify the influence of eelgrass habitat structure on consumer-prey interactions, secondary production, and trophic transfer;

3. Identify mechanisms for the influence of grazer diversity on algal control;

4. Develop a global map of grazing and predation intensity to assess the relative importance of bottom-up and top-down forcing in eelgrass beds.

This program's integrated characterization of biodiversity, ecosystem state variables, and process rates across the globe is arguably unique in any marine system. It builds on promising results from the first generation of ZEN to allow for the first time a rigorous analysis of links between biodiversity and ecosystem functioning in a natural system on a global scale. As part of this analysis, the proposed research will provide the most comprehensive analysis yet of the controversial question of the relative importance of bottom-up and top-down forcing in seagrass ecosystems, an issue of fundamental importance to management and conservation.

Seagrasses and the many ecosystem services they provide are declining worldwide. This project's data on higher trophic levels and food-web interactions will provide a valuable and overdue complement to the many monitoring programs around the world that focus primarily on seagrasses and water quality, and will ultimately be made available to parameterize and test models of threatened seagrass ecosystems at a higher level of resolution ecological reality than previously possible. The success of the Zostera Experimental Network (ZEN) is evidenced by the continuation of all but one partner in the second generation (ZEN 2), and recruitment of nearly the same number of new partners to this global collaboration. This research will solidify and expand this network by more than doubling the number of participating sites, collaborating with parallel European Union and Japanese efforts, and integrating the world's largest and most successful seagrass restoration project at the Virginia Coast LTER site.

Note: This is an NSF-funded Collaborative Research project.

Also see: ZEN project BCO-DMO page.



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Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)
NSF Division of Ocean Sciences (NSF OCE)
NSF Division of Ocean Sciences (NSF OCE)

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