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     data   graph     files  public [Biodiversity Experiments] - Biodiversity experiments: Effects of diversity in feeding
trials, conducted at Bodgea Marine Laboratory, using detritus from eelgrass (Zostera marina)
genotypes (clones) as a food source and either one or a combination of invertebrate
grazers (Connecting genetic diversity to ecosystem functioning: links between genetic
diversity, relatedness and trait variation in a seagrass community)
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The Dataset's Variables and Attributes

Row Type Variable Name Attribute Name Data Type Value
attribute NC_GLOBAL access_formats String .htmlTable,.csv,.json,.mat,.nc,.tsv
attribute NC_GLOBAL acquisition_description String We conducted a series of food choice experiments using detritus from cultured
eelgrass (Zostera marina) genotypes (clones) as a food source and either one
or a combination of the following invertebrate grazers: the tube dwelling
amphipod Ampithoe lacertosa, the free swimming isopod Idotea resecata, and/or
the tube building polychaete Platynereis bicanaliculata.

All feeding trials were conducted by placing pre-weighed fragments of each
choice (approximately 4 cm in length) in 140 mL cups (7 cm tall, 6 cm
diameter) covered with a 250 um mesh cloth and submerged in a flowing seawater
bath in an indoor tank. Food choices were marked using colored zip ties, and
trials were terminated before any food item was reduced in size by one half.
Consumption was calculated as ([Hi X Cf/Ci] - Hf ), where Hi and Hf were
initial and final wet masses of tissue exposed to consumers, and Ci and Cf
were initial and final masses in controls.

In addition to feeding trials, we grew invertebrates for one month (in similar
containers and feeding trial conditions) with food sources that varied in
number of seagrass clones present. Animal survival was assessed weekly, and
food was replaced.

The chemical traits for individual eelgrass clones were also assessed. We
measured the pressure required to penetrate and tear each genotype. We clamped
in place below a needle (17G / 19mm length), which was held in place with a
metal sleeve and which supported a cup to which dry sand was added a few
milligrams at a time until the pin pierced completely through the plant
tissue. The mass of the dry sand and the apparatus were then weighed to
determine the mass needed to pierce the leaf (Duffy & Hay 1991). Tensile
strength was measured using a tensiometer. Leaf segments were clamped to a
hanging balance equipped with a maximum mass indicator and pulled by hand
until the leaf failed. Phenolic content was determined on an approximately 4
mg subsample using a modified Folin-Ciocalteu method (see Bolser et al. 1998).
An approximately 3 mg subsample was analyzed for carbon and nitrogen
concentration on a Thermo Flash EA 1112 Soil elemental analyzer.
attribute NC_GLOBAL awards_0_award_nid String 564446
attribute NC_GLOBAL awards_0_award_number String OCE-1234345
attribute NC_GLOBAL awards_0_data_url String http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1234345 (external link)
attribute NC_GLOBAL awards_0_funder_name String NSF Division of Ocean Sciences
attribute NC_GLOBAL awards_0_funding_acronym String NSF OCE
attribute NC_GLOBAL awards_0_funding_source_nid String 355
attribute NC_GLOBAL awards_0_program_manager String David L. Garrison
attribute NC_GLOBAL awards_0_program_manager_nid String 50534
attribute NC_GLOBAL cdm_data_type String Other
attribute NC_GLOBAL comment String Biodiversity experiments
described in Oikos manuscipt DOI 10.1111/oik.04471
PI: John J. Stachowicz (UC Davis)
Co-PIs: Richard K. Grosberg & Susan L. Williams (UC Davis)
Contact: Laura K. Reynolds (UFL)
Version: 15 September 2017
attribute NC_GLOBAL Conventions String COARDS, CF-1.6, ACDD-1.3
attribute NC_GLOBAL creator_email String info at bco-dmo.org
attribute NC_GLOBAL creator_name String BCO-DMO
attribute NC_GLOBAL creator_type String institution
attribute NC_GLOBAL creator_url String https://www.bco-dmo.org/ (external link)
attribute NC_GLOBAL data_source String extract_data_as_tsv version 2.3 19 Dec 2019
attribute NC_GLOBAL date_created String 2017-09-20T16:55:53Z
attribute NC_GLOBAL date_modified String 2019-08-02T14:33:37Z
attribute NC_GLOBAL defaultDataQuery String &time<now
attribute NC_GLOBAL doi String 10.1575/1912/bco-dmo.715422.1
attribute NC_GLOBAL infoUrl String https://www.bco-dmo.org/dataset/715422 (external link)
attribute NC_GLOBAL institution String BCO-DMO
attribute NC_GLOBAL instruments_0_acronym String Aquarium
attribute NC_GLOBAL instruments_0_dataset_instrument_description String Pre-weighed fragments of eelgrass were covered with a 250 um mesh cloth and submerged in a flowing seawater bath in an indoor tank.
attribute NC_GLOBAL instruments_0_dataset_instrument_nid String 715432
attribute NC_GLOBAL instruments_0_description String Aquarium - a vivarium consisting of at least one transparent side in which water-dwelling plants or animals are kept
attribute NC_GLOBAL instruments_0_instrument_name String Aquarium
attribute NC_GLOBAL instruments_0_instrument_nid String 711
attribute NC_GLOBAL instruments_0_supplied_name String indoor tank
attribute NC_GLOBAL instruments_1_dataset_instrument_description String Carbon and nitrogen concentrations were measured on a Thermo Flash EA 1112 Soil elemental analyzer.
attribute NC_GLOBAL instruments_1_dataset_instrument_nid String 715431
attribute NC_GLOBAL instruments_1_description String Instruments that quantify carbon, nitrogen and sometimes other elements by combusting the sample at very high temperature and assaying the resulting gaseous oxides. Usually used for samples including organic material.
attribute NC_GLOBAL instruments_1_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L05/current/LAB01/ (external link)
attribute NC_GLOBAL instruments_1_instrument_name String Elemental Analyzer
attribute NC_GLOBAL instruments_1_instrument_nid String 546339
attribute NC_GLOBAL instruments_1_supplied_name String Thermo Flash EA 1112 Soil elemental analyzer
attribute NC_GLOBAL keywords String bco, bco-dmo, biological, chemical, consumer, data, dataset, day, dmo, erddap, experiment, feeding, Feeding_rate_mg_day, genotypes, management, number, Number_of_genotypes, oceanography, office, preliminary, rate
attribute NC_GLOBAL license String https://www.bco-dmo.org/dataset/715422/license (external link)
attribute NC_GLOBAL metadata_source String https://www.bco-dmo.org/api/dataset/715422 (external link)
attribute NC_GLOBAL param_mapping String {'715422': {}}
attribute NC_GLOBAL parameter_source String https://www.bco-dmo.org/mapserver/dataset/715422/parameters (external link)
attribute NC_GLOBAL people_0_affiliation String University of California-Davis
attribute NC_GLOBAL people_0_affiliation_acronym String UC Davis
attribute NC_GLOBAL people_0_person_name String John J. Stachowicz
attribute NC_GLOBAL people_0_person_nid String 518660
attribute NC_GLOBAL people_0_role String Principal Investigator
attribute NC_GLOBAL people_0_role_type String originator
attribute NC_GLOBAL people_1_affiliation String University of California-Davis
attribute NC_GLOBAL people_1_affiliation_acronym String UC Davis
attribute NC_GLOBAL people_1_person_name String Richard K. Grosberg
attribute NC_GLOBAL people_1_person_nid String 521151
attribute NC_GLOBAL people_1_role String Co-Principal Investigator
attribute NC_GLOBAL people_1_role_type String originator
attribute NC_GLOBAL people_2_affiliation String University of California-Davis
attribute NC_GLOBAL people_2_affiliation_acronym String UC Davis-BML
attribute NC_GLOBAL people_2_person_name String Susan L. Williams
attribute NC_GLOBAL people_2_person_nid String 564451
attribute NC_GLOBAL people_2_role String Co-Principal Investigator
attribute NC_GLOBAL people_2_role_type String originator
attribute NC_GLOBAL people_3_affiliation String University of Florida
attribute NC_GLOBAL people_3_affiliation_acronym String UF
attribute NC_GLOBAL people_3_person_name String Laura K. Reynolds
attribute NC_GLOBAL people_3_person_nid String 645531
attribute NC_GLOBAL people_3_role String Contact
attribute NC_GLOBAL people_3_role_type String related
attribute NC_GLOBAL people_4_affiliation String Woods Hole Oceanographic Institution
attribute NC_GLOBAL people_4_affiliation_acronym String WHOI BCO-DMO
attribute NC_GLOBAL people_4_person_name String Shannon Rauch
attribute NC_GLOBAL people_4_person_nid String 51498
attribute NC_GLOBAL people_4_role String BCO-DMO Data Manager
attribute NC_GLOBAL people_4_role_type String related
attribute NC_GLOBAL project String Genetic Div to Ecosys Functioning
attribute NC_GLOBAL projects_0_acronym String Genetic Div to Ecosys Functioning
attribute NC_GLOBAL projects_0_description String There is growing evidence that genetic variation within and among populations of key species plays an important role in marine ecosystem processes. Several experiments provide compelling evidence that the number of genotypes in an assemblage (genotypic richness) can influence critical ecosystem functions including productivity, resistance to disturbance and invasion or colonization success. However, these studies use only the number of genotypes as a measure of genetic diversity. Recent analyses of species diversity experiments show that phylogenetic diversity may be a more reliable predictor of ecosystem functioning than simply the number of species. However, such approaches have not yet been applied to understanding the effects of genetics on ecosystem functioning. While genetic relatedness within a species holds the potential to predict the outcome of intraspecific interactions, and the functioning of ecosystems that depend on those species, we currently have few data to assess the shape or strength of this relationship. The investigators will build on their own previous work, and that of others, in eelgrass (Zostera marina) ecosystems showing strong effects of genotypic richness on a spectrum of critical ecosystem processes. The investigators will ask whether genotypic richness, or - as in studies at the level of species diversity - genetic relatedness/distance better predicts ecosystem functioning? If genetic relatedness measures are better predictors, then what mechanisms underlie this relationship? Can genetic relatedness predict ecological relatedness?
Although the current focus is on eelgrass, the research should be applicable to many systems. The project will assess the relationship between genetic relatedness and phenotypic distinctiveness of a key marine foundation species and use manipulative experiments to test the relative importance of the number of genotypes in an assemblage vs. their genetic relatedness and trait diversity for ecosystem functioning. Specifically, experiments will:
(1) characterize the relationship between genetic relatedness and trait similarity among individual genotypes of eelgrass, including responses to experimental warming;
(2) compare the effects of genetic relatedness and trait similarity among genotypes on the outcome of intraspecific competitive interactions; and
(3) test the relative effect of genetic relatedness vs. number of genotypes of eelgrass on the growth of eelgrass, its associated ecosystem functions it (e.g., primary production, nutrient dynamics, trophic transfer, habitat provision, and detrital production and decomposition).
Seagrass ecosystems provide important services to coastal regions including primary production, nutrient cycling, habitat for fisheries species, and erosion control. Previous studies have shown these services can be compromised by reduction in the numbers of species of grazers or genotypes, but this study will allow a more predictive approach to diversity loss by integrating the effects of multiple components of diversity and clarifying the extent to which diversity effects can be predicted by the genetic or ecological uniqueness of component genotypes.
attribute NC_GLOBAL projects_0_end_date String 2016-08
attribute NC_GLOBAL projects_0_name String Connecting genetic diversity to ecosystem functioning: links between genetic diversity, relatedness and trait variation in a seagrass community
attribute NC_GLOBAL projects_0_project_nid String 564447
attribute NC_GLOBAL projects_0_start_date String 2012-09
attribute NC_GLOBAL publisher_name String Biological and Chemical Oceanographic Data Management Office (BCO-DMO)
attribute NC_GLOBAL publisher_type String institution
attribute NC_GLOBAL sourceUrl String (local files)
attribute NC_GLOBAL standard_name_vocabulary String CF Standard Name Table v55
attribute NC_GLOBAL summary String Seagrass meadows are among the world's most productive ecosystems, and as in many other systems, genetic diversity is correlated with increased production. However, only a small fraction of seagrass production is directly consumed, and instead much of the secondary production is fueled by the detrital food web. Here, we study the roles of plant genetic diversity and grazer species diversity on detrital consumption in California eelgrass Zostera marina meadows. We used three common mesograzers\u2014an amphipod, Ampithoe lacertosa, an isopod, Idotea resecata, and a polychaete, Platynereis bicanaliculata. In a series of five independent experiments, we manipulated grazer species diversity and number of eelgrass clones and measured the resulting detrital consumption. Under monospecific grazer assemblages, plant genetic identity but not diversity influenced detritus consumption. However, more realistic, diverse mesoconsumer communities combined with high plant-detrital genotypic diversity resulted in greater consumption and grazer survival. These data are illustrated in figures 4 and 5 Reynolds et al., 2017 (DOI:10.1111/oik.04471).
attribute NC_GLOBAL title String [Biodiversity Experiments] - Biodiversity experiments: Effects of diversity in feeding trials, conducted at Bodgea Marine Laboratory, using detritus from eelgrass (Zostera marina) genotypes (clones) as a food source and either one or a combination of invertebrate grazers (Connecting genetic diversity to ecosystem functioning: links between genetic diversity, relatedness and trait variation in a seagrass community)
attribute NC_GLOBAL version String 1
attribute NC_GLOBAL xml_source String osprey2erddap.update_xml() v1.3
variable Consumer   String  
attribute Consumer bcodmo_name String treatment
attribute Consumer description String Which grazers were present
attribute Consumer long_name String Consumer
attribute Consumer units String unitless
variable Number_of_genotypes   byte  
attribute Number_of_genotypes _FillValue byte 127
attribute Number_of_genotypes actual_range byte 1, 7
attribute Number_of_genotypes bcodmo_name String treatment
attribute Number_of_genotypes colorBarMaximum double 100.0
attribute Number_of_genotypes colorBarMinimum double 0.0
attribute Number_of_genotypes description String Number of detrital genotypes present as a food source
attribute Number_of_genotypes long_name String Number Of Genotypes
attribute Number_of_genotypes units String unitless
variable Feeding_rate_mg_day   float  
attribute Feeding_rate_mg_day _FillValue float NaN
attribute Feeding_rate_mg_day actual_range float -3.05, 23.45
attribute Feeding_rate_mg_day bcodmo_name String unknown
attribute Feeding_rate_mg_day description String Feeding rate
attribute Feeding_rate_mg_day long_name String Feeding Rate Mg Day
attribute Feeding_rate_mg_day units String milligrams per day
variable experiment   byte  
attribute experiment _FillValue byte 127
attribute experiment actual_range byte 1, 5
attribute experiment bcodmo_name String exp_id
attribute experiment description String Identifier used to distinguish between the different experimental setups
attribute experiment long_name String Experiment
attribute experiment units String unitless

The information in the table above is also available in other file formats (.csv, .htmlTable, .itx, .json, .jsonlCSV1, .jsonlCSV, .jsonlKVP, .mat, .nc, .nccsv, .tsv, .xhtml) via a RESTful web service.


 
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