ERDDAP > info > bcodmo_dataset_715405

Grid DAP Data	Sub- set	Table DAP Data	Make A Graph	W M S	Source Data Files	Acces- sible	Title	Sum- mary	FGDC, ISO, Metadata	Back- ground Info	RSS	E mail	Institution	Dataset ID
		data	graph		files	public	[Invertebrate Survival] - Invertebrate survival: Invertebrate survival rates from feeding experiments, conducted at Bodega Marine Laboratory, where food sources (eelgrass (Zostera marina) genotypes) were varied (Connecting genetic diversity to ecosystem functioning: links between genetic diversity, relatedness and trait variation in a seagrass community)		I   M	background			BCO-DMO	bcodmo_dataset_715405

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
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	Invertebrate survival experiment 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/
attribute	NC_GLOBAL	data_source	String	extract_data_as_tsv version 2.3 19 Dec 2019
attribute	NC_GLOBAL	date_created	String	2017-09-20T16:34:50Z
attribute	NC_GLOBAL	date_modified	String	2019-08-02T14:01:54Z
attribute	NC_GLOBAL	defaultDataQuery	String	&time<now
attribute	NC_GLOBAL	doi	String	10.1575/1912/bco-dmo.715405.1
attribute	NC_GLOBAL	infoUrl	String	https://www.bco-dmo.org/dataset/715405
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	715415
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	715414
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/
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	after, bco, bco-dmo, biological, chemical, data, dataset, days, Days_after_exp_setup, detrital, Detrital_genotypes_present, dmo, erddap, exp, genotypes, invertebrate, Invertebrate_survival_pcnt, management, oceanography, office, pcnt, preliminary, present, setup, survival, treatment
attribute	NC_GLOBAL	license	String	https://www.bco-dmo.org/dataset/715405/license
attribute	NC_GLOBAL	metadata_source	String	https://www.bco-dmo.org/api/dataset/715405
attribute	NC_GLOBAL	param_mapping	String	{'715405': {}}
attribute	NC_GLOBAL	parameter_source	String	https://www.bco-dmo.org/mapserver/dataset/715405/parameters
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 this experiment, we raised communities of either Ampithoe lacertosa or communities of all three mesograzers on either no food, eelgrass detritus from a single clone, or eelgrass detritus from 3 of from 6 different clones. 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 figure 6 of Reynolds et al., 2017 (DOI:10.1111/oik.04471).
attribute	NC_GLOBAL	title	String	[Invertebrate Survival] - Invertebrate survival: Invertebrate survival rates from feeding experiments, conducted at Bodega Marine Laboratory, where food sources (eelgrass (Zostera marina) genotypes) were varied (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	Days_after_exp_setup		byte
attribute	Days_after_exp_setup	_FillValue	byte	127
attribute	Days_after_exp_setup	actual_range	byte	1, 23
attribute	Days_after_exp_setup	bcodmo_name	String	duration
attribute	Days_after_exp_setup	description	String	Number of days after the experiment was setup
attribute	Days_after_exp_setup	long_name	String	Days After Exp Setup
attribute	Days_after_exp_setup	units	String	unitless
variable	Detrital_genotypes_present		byte
attribute	Detrital_genotypes_present	_FillValue	byte	127
attribute	Detrital_genotypes_present	actual_range	byte	0, 6
attribute	Detrital_genotypes_present	bcodmo_name	String	treatment
attribute	Detrital_genotypes_present	description	String	Number of detrital genotypes present as a food source
attribute	Detrital_genotypes_present	long_name	String	Detrital Genotypes Present
attribute	Detrital_genotypes_present	units	String	unitless
variable	Treatment		String
attribute	Treatment	bcodmo_name	String	treatment
attribute	Treatment	description	String	Description of the grazers present
attribute	Treatment	long_name	String	Treatment
attribute	Treatment	units	String	unitless
variable	Invertebrate_survival_pcnt		float
attribute	Invertebrate_survival_pcnt	_FillValue	float	NaN
attribute	Invertebrate_survival_pcnt	actual_range	float	0.25, 1.0
attribute	Invertebrate_survival_pcnt	bcodmo_name	String	unknown
attribute	Invertebrate_survival_pcnt	description	String	Invertebrate survival rate, as a percent
attribute	Invertebrate_survival_pcnt	long_name	String	Invertebrate Survival Pcnt
attribute	Invertebrate_survival_pcnt	units	String	unitless (percent)

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.