Data Package Metadata   View Summary

Estimates of nitrogen and phosphorus excretion rates in individual marine and estuarine animals

General Information
Data Package:
Local Identifier:knb-lter-sbc.172.7
Title:Estimates of nitrogen and phosphorus excretion rates in individual marine and estuarine animals
Alternate Identifier:DOI PLACE HOLDER
Abstract:

This dataset contains nitrogen and phosphorus excretion rate, as well as dry biomass, estimates for individual vertebrate and invertebrate animals in marine and estuarine environments. This dataset is a product of an LTER Synthesis Working Group aimed at evaluating the spatiotemporal variability in consumer nutrient dynamics in the wake of global change across eight long-term ecological research projects. These projects include seven long-term ecological research programs (LTER) funded by the National Science Foundation: (1) California Current Ecosystem, (2) Florida Coastal Everglades, (3) Moorea Coral Reef, (4) Northern Gulf of Alaska, (5) Plum Island Ecosystems, (6) Santa Barbara Coastal, and (7) Virginia Coast Reserve LTER projects. Additionally, the dataset includes data from (8) The Partnership for Interdisciplinary Science of Coastal Oceans (PISCO) research program. The temporal coverage of each time series data varies among projects, with the earliest record in 1999 and the most recent in 2023.

This data package also includes five R scripts used for data harmonization, identical to those in the Initial Release of the LTER Synthesis Working Group: Consumer-Mediated Nutrient Dynamics Project, v1.0.0. You can find the release in GitHub here: https://github.com/lter/lterwg-marine-cnd/releases/tag/v1.0.0.

Short Name:Nitrogen and phosphorus excretion rates
Publication Date:2024-06-10
Language:English
For more information:
Visit: https://mackwhite.github.io/cndwg_website/
Visit: DOI PLACE HOLDER

Time Period
Begin:
1999-09-07
End:
2023-07-26

People and Organizations
Contact:Santa Barbara Coastal LTER [  email ]
Creator:White, Mack 
Creator:Kui, Li 
Creator:Chen, Angel 
Creator:Strickland, Bradley 
Creator:Peters, Joey 
Creator:Grier, Shalanda 
Creator:Capone, Dante 
Creator:Cawley, Grace 
Creator:Emery, Kyle A 
Creator:Enright, Lauren N 
Creator:Stajner, Anya 
Creator:Lyon, Nicholas 
Organization:Santa Barbara Coastal LTER

Data Entities
Data Table Name:
Consumer excretion rate
Description:
Nitrogen and phosphorus excretion rates and dry biomass estimates for individual vertebrate and invertebrate animals
Other Name:
R scripts
Description:
Five R scripts used for process the consumer excretion rate dataset
Detailed Metadata

Data Entities


Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-sbc/172/7/9fc5a5a28e42b885ae8b7af2e6eb5d51
Name:Consumer excretion rate
Description:Nitrogen and phosphorus excretion rates and dry biomass estimates for individual vertebrate and invertebrate animals
Number of Records:1863096
Number of Columns:31

Table Structure
Object Name:harmonized_consumer_excretion_CLEAN.csv
Size:651056769 byte
Authentication:b68d63e3e7da4de45f8593a8055b6ef2 Calculated By MD5
Text Format:
Number of Header Lines:1
Record Delimiter:\n
Orientation:column
Simple Delimited: no
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 ProjectHabitatraw filenameRow numberyearCalendar MonthCalendar DayDateSite codeSubsite level1Subsite level2Subsite level3Species codeScientific nameScientific nameCommon NameKingdomPhylumClassOrderFamilyGenusOrganism GroupDiet categoryDensity in num/mIndividual Dry MassTemperature in CDensity in num/m2Density in num/m3Nitrogen excretion ratePhosphorus excretion rate
Column Name:project  
habitat  
raw_filename  
row_num  
year  
month  
day  
date  
site  
subsite_level1  
subsite_level2  
subsite_level3  
sp_code  
scientific_name  
species  
common_name  
kingdom  
phylum  
class  
order  
family  
genus  
taxa_group  
diet_cat  
density_num/m  
dmperind_g/ind  
temp_c  
density_num/m2  
density_num/m3  
nind_ug/hr  
pind_ug/hr  
Definition:Projects includes the seven LTER sites and the coastalCA site from the PISCO projectHabitat that the data were collectedRaw data file names as we received/ downloaded themThe row number within each raw fileYear of measurementmonth of sampling formatted as MMday of sampling formatted as DDDate of the samplingSite code within each of the projectSubsite at level 1 within each of the projectSubsite at level 2 within each of the projectSubsite at level 3 within each of the projectSpecies code from individual projectTaxonomic scientific name that matches the ITIS databaseTaxonomic scientific name originated from individual projectcommon name of the organismKingdom name of taxon in Linnean taxanomic systemPhylum name of taxon in Linnean taxanomic systemClass name of taxon in Linnean taxanomic systemOrder name of taxon in Linnean taxanomic systemFamily name of taxon in Linnean taxanomic systemGenus name of taxon in Linnean taxanomic systemFunctional grouping term for observed taxonDiet catagory for observed taxonThe density taxon per meterDry biomass per individualAverage temperature in degreeCThe density taxon per squared meterThe density taxon per cubic meterNitrogen excretion rate per individualPhosphorus excretion rate per individual
External Measurement Definition, Link: has unit Number per metre has unit Degree Celsius has unit Number per square metre has unit Number per cubic metre
Storage Type:string  
string  
string  
string  
integer  
date  
date  
string  
string  
string  
string  
string  
string  
string  
string  
string  
string  
string  
string  
string  
string  
string  
string  
string  
float  
float  
float  
float  
float  
float  
float  
Measurement Type:nominalnominalnominalnominaldateTimedateTimedateTimedateTimenominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalratioratioratioratioratioratioratio
Measurement Values Domain:
Definitionany text
Definitionany text
Definitionany text
Definitionany text
FormatYYYY
Precision1
FormatMM
Precision1
FormatDD
Precision1
FormatYYYY-MM-DD
Precision1
Definitionany text
Definitionany text
Definitionany text
Definitionany text
Definitionany text
Definitionany text
Definitionany text
Definitionany text
Definitionany text
Definitionany text
Definitionany text
Definitionany text
Definitionany text
Definitionany text
Definitionany text
Definitionany text
UnitnumberPerMeter
Precision1e-10
Typereal
UnitgramsPerInd
Precision1e-10
Typereal
Unitcelsius
Precision1e-05
Typereal
UnitnumberPerMeterSquared
Precision1e-10
Typereal
UnitnumberPerMeterCubed
Precision1e-10
Typereal
UnitmicrogramsPerHour
Precision1e-10
Typereal
UnitmicrogramsPerHour
Precision1e-10
Typereal
Missing Value Code:        
Code.
Explvalue not recorded or not available
Code.
Explvalue not recorded or not available
Code.
Explvalue not recorded or not available
Code.
Explvalue not recorded or not available
Code.
Explvalue not recorded or not available
Code.
Explvalue not recorded or not available
Code.
Explvalue not recorded or not available
Code.
Explvalue not recorded or not available
Code.
Explvalue not recorded or not available
Code.
Explvalue not recorded or not available
Code.
Explvalue not recorded or not available
Code.
Explvalue not recorded or not available
Code.
Explvalue not recorded or not available
Code.
Explvalue not recorded or not available
Code.
Explvalue not recorded or not available
Code.
Explvalue not recorded or not available
Code.
Explvalue not recorded or not available
Code.
Explvalue not recorded or not available
Code.
Explvalue not recorded or not available
Code.
Explvalue not recorded or not available
Code.
Explvalue not recorded or not available
Code.
Explvalue not recorded or not available
Code.
Explvalue not recorded or not available
Code.
Explvalue not recorded or not available
Code.
Explvalue not recorded or not available
Code.
Explvalue not recorded or not available
Code.
Explvalue not recorded or not available
Accuracy Report:                                                              
Accuracy Assessment:                                                              
Coverage:                                                              
Methods:                                                              

Non-Categorized Data Resource

Name:R scripts
Entity Type:otherEntity
Description:Five R scripts used for process the consumer excretion rate dataset
Physical Structure Description:
Object Name:data_wrangling_script.zip
Size:28846 byte
Authentication:7d1dd9ad955d6f93ff79ea79b9aa0154 Calculated By MD5
Externally Defined Format:
Format Name:ZIP
Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-sbc/172/7/195fe21811a0b870f006a90e6c65f6cb

Data Package Usage Rights

This data package is released under the Creative Commons License Attribution 4.0 International (CC BY 4.0, see https://creativecommons.org/licenses/by/4.0/). This license states that consumers ("Data Users" herein) may distribute, adapt, reuse, remix, and build upon this work, as long as they give appropriate credit, provide a link to the license, and indicate if changes were made. If redistributed, a Data User may not apply additional restrictions or technological measures that prevent access.

The Data User has an ethical obligation to cite the data source appropriately in any publication or product that results from its use, and notify the data contact or creator. Communication, collaboration, or co-authorship (as appropriate) with the creators of this data package is encouraged to prevent duplicate research or publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplication or inappropriate use. The Data User should realize that misinterpretation may occur if data are used outside of the context of the original study. The Data User should be aware that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data.

While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. This data package (with its components) is made available “as is” and with no warranty of accuracy or fitness for use. The creators of this data package and the repository where these data were obtained shall not be liable for any damages resulting from misinterpretation, use or misuse of the data package or its components.

Keywords

By Thesaurus:
LTER Controlled Vocabulary v1Air Temperature, long term ecological research, marine, organism, phosphorus
SBC-LTER Controlled VocabularyEcosystem Processes, Nearshore Ocean
Global Change Master Directory (GCMD) v6.0.0.0.0Air Temperature, Nitrogen, Nutrients
Knowledge Network for BiocomplexityNutrients
NBII BiocomplexityAquatic organisms, Nutrients
noneconsumer-derived nutrients, consumers, excretion, nutrient recycling, nutrient regeneration

Methods and Protocols

These methods, instrumentation and/or protocols apply to all data in this dataset:

Methods and protocols used in the collection of this data package
Description:

The dataset includes nitrogen and phosphorus excretion rate estimates from eight research programs and spans observations from 1999 to 2023. The appropriate datasets were identified during the 2022 LTER All-Scientists Meeting in Monterey, California. For information on dataset provenance, please see the Data Source section below. Datasets assessed for inclusion in working group efforts required size measurements (i.e., either mass or length) at the individual species level, alongside animal density estimates (# per unit area), in order to estimate nitrogen and phosphorus excretion rates using universal models published by Vanni & McIntyre (2016). These models required the following information to estimate excretion for individual animals: (1) individual dry biomass, (2) temperature, (3) vertebrate-invertebrate classification, and (4) coarse trophic guild categorization. For projects that recorded individual biomass but had missing values (i.e., due to field or data entry errors), we calculated the average mass for the given species within the program to estimate individual mass. For datasets that had length but no mass measurements, mass was calculated using length-weight coefficients published on FishBase or SeaLifeBase. Dry biomass was calculated for all individuals using project-level coefficients. In cases where wet-dry biomass coefficients were not available at the site, published coefficients were used to convert wet to dry mass. Temperature was held constant across each of the projects using mean water (for aquatic organisms) or air (for terrestrial organisms) temperature during the sampling period, using environmental data from the respective projects. Taxonomic classifications were determined using the taxize package in R, and the information was used to determine whether vertebrate or invertebrate coefficients were to be used in excretion rate calculations. Individual species were assigned to one of five trophic guilds (i.e., algivore/detritivore, invertivore, piscivore, piscivore/invertivore, and algivore/detritivore/insectivore/piscivore). The trophic guild of individual species was determined by project experts from each of the respective research programs. Once individual datasets contained the necessary information for excretion rate calculations, we performed zero-filled to permit calculation of areal excretion rate estimates for nitrogen and phosphorus in the unit of μg/m^2/hr. Next, standard column names were assigned to individual dataset in the data integration process.

Data Source:

Florida Coastal Everglades: https://pasta.lternet.edu/package/data/eml/knb-lter-fce/1164/12/de8a81c56378979f369fff30bbde9f01

Moorea Coral Reef: https://doi.org/10.6073/pasta/75644add7e7f90c568bf5045264d359a

Plum Island Ecosystems: https://doi.org/10.6073/pasta/de6b4cbb10fa240a63c95ffdd6152432

Santa Barbara Coastal (ocean): https://doi.org/10.6073/pasta/9ddf2268b69115670be27cdfd29ad104

Santa Barbara Coastal (beach): https://doi.org/10.6073/pasta/d84164f4099a98817e3f0afa49546b94

Virginia Coast Reserve: https://portal.edirepository.org/nis/mapbrowse?packageid=knb-lter-vcr.236.14

The Partnership for Interdisciplinary Science of Coastal Oceans (PISCO): https://doi.org/10.25494/P6/MLPA_kelpforest.5

The datasets from California Current Ecosystem and Northern Gulf of Alaska LTER sites are compiled through emails.

References:

Vanni, M. J., & McIntyre, P. B. (2016). Predicting nutrient excretion of aquatic animals with metabolic ecology and ecological stoichiometry: A global synthesis. Ecology, 97(12), 3460–3471. https://doi.org/10.1002/ecy.1582

People and Organizations

Publishers:
Organization:Environmental Data Initiative
Email Address:
info@edirepository.org
Web Address:
https://edirepository.org
Id:https://ror.org/0330j0z60
Creators:
Individual: Mack White
Address:
Department of Earth & Environment Florida International University,
Miami, FL 33181 US
Email Address:
mwhite@fiu.edu
Id:https://orcid.org/0000-0002-6617-7023
Individual: Li Kui
Address:
Marine Science Institute University of California,
Santa Barbara, CA 93106-6150 US
Email Address:
lkui@ucsb.edu
Id:https://orcid.org/0000-0002-5894-4907
Individual: Angel Chen
Address:
National Center for Ecological Analysis and Synthesis University of California Santa Barbara,
Santa Barbara, CA 93101 US
Email Address:
anchen@nceas.ucsb.edu
Id:https://orcid.org/0000-0003-3515-6710
Individual: Bradley Strickland
Address:
National Park Service South Florida Natural Resources Center,
Homestead, FL 33033 US
Email Address:
bradley_strickland@nps.gov
Id:https://orcid.org/0000-0001-6443-7672
Individual: Joey Peters
Address:
Great Ecology,
San Diego, CA 92103
Email Address:
jpeters.ecology@gmail.com
Id:https://orcid.org/0000-0002-9625-1626
Individual: Shalanda Grier
Address:
Department of Ecology, Evolution and Marine Biology University of California,
Santa Barbara, CA 93106 US
Email Address:
shalandagrier@ucsb.edu
Individual: Dante Capone
Address:
Scripps Institution of Oceanography Univeristy of California San Diego,
San Diego, CA 92093
Email Address:
dcapone@ucsd.edu
Id:https://orcid.org/0009-0005-1232-359X
Individual: Grace Cawley
Address:
Scripps Institution of Oceanography Univeristy of California San Diego,
San Diego, CA 92093
Email Address:
gcawley@ucsd.edu
Id:https://orcid.org/0000-0002-8813-1579
Individual: Kyle A Emery
Address:
Marine Science Institute University of California,
Santa Barbara, CA 93106 USA
Email Address:
emery@ucsb.edu
Id:https://orcid.org/0000-0003-0536-317X
Individual: Lauren N Enright
Address:
Department of Ecology, Evolution and Marine Biology University of California,
Santa Barbara, CA 93106 US
Email Address:
laurenenright@ucsb.edu
Id:https://orcid.org/0009-0007-2442-2805
Individual: Anya Stajner
Address:
Scripps Institution of Oceanography Univeristy of California San Diego,
San Diego, CA 92093
Email Address:
Astajner@ucsd.edu
Id:https://orcid.org/0000-0002-8755-5548
Individual: Nicholas Lyon
Address:
National Center for Ecological Analysis and Synthesis University of California Santa Barbara,
Santa Barbara, CA 93101 US
Email Address:
lyon@nceas.ucsb.edu
Id:https://orcid.org/0000-0003-3905-1078
Contacts:
Organization:Santa Barbara Coastal LTER
Address:
Marine Science Institute,
University of California,
Santa Barbara, California 93106-6150 United States
Email Address:
sbclter@msi.ucsb.edu
Web Address:
https://sbclter.msi.ucsb.edu/
Id:https://ror.org/05hnkta08
Associated Parties:
Organization:Santa Barbara Coastal LTER
Address:
Marine Science Institute University of California,
Santa Barbara, CA 93106 USA
Email Address:
sbclter@msi.ucsb.edu
Role:publisher, curator

Temporal, Geographic and Taxonomic Coverage

Temporal, Geographic and/or Taxonomic information that applies to all data in this dataset:

Time Period
Begin:
1999-09-07
End:
2023-07-26
Geographic Region:
Description:Marine and estuarine environments: Marine and estuarine environments in the Pacific and Atlantic Ocean
Bounding Coordinates:
Northern:  59.05Southern:  -17.49
Western:  -149.83Eastern:  -70.89

Project

Parent Project Information:

Title:Consumer-mediated nutrient dynamics of marine ecosystems under the wake of global change
Personnel:
Individual: Mack White
Address:
Department of Earth & Environment Florida International University,
Miami, FL 33181 US
Email Address:
mwhite@fiu.edu
Role:Principal Investigator
Funding:

Marine Consumer Nutrient Dynamics Synthesis Group supported through the Long Term Ecological Research Network Office (LNO) (NSF award numbers 1545288 and 1929393) and the National Center for Ecological Analysis and Synthesis, UCSB.

Additional Award Information:
Funder:National Science Foundation
Funder ID:https://dx.doi.org/10.13039/100000001
Number:1929393
Title:Consumer-mediated nutrient dynamics of marine ecosystems under the wake of global change
Other Metadata

Additional Metadata

additionalMetadata
        |___text '\n      '
        |___element 'metadata'
        |     |___text '\n         '
        |     |___element 'unitList'
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'abbreviation' = 'C'
        |     |     |     |  \___attribute 'constantToSI' = '273.18'
        |     |     |     |  \___attribute 'id' = 'celsius'
        |     |     |     |  \___attribute 'multiplierToSI' = '1'
        |     |     |     |  \___attribute 'name' = 'celsius'
        |     |     |     |  \___attribute 'parentSI' = 'kelvin'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'SI-derived unit of temperature'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'abbreviation' = 'g/ind'
        |     |     |     |  \___attribute 'id' = 'gramsPerInd'
        |     |     |     |  \___attribute 'multiplierToSI' = '0.001'
        |     |     |     |  \___attribute 'name' = 'gramsPerInd'
        |     |     |     |  \___attribute 'parentSI' = 'kilogramsPerInd'
        |     |     |     |  \___attribute 'unitType' = 'massSpecificCount'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'grams Per Individual'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'microgramsPerHour'
        |     |     |     |  \___attribute 'multiplierToSI' = '0.001'
        |     |     |     |  \___attribute 'name' = 'microgramsPerHour'
        |     |     |     |  \___attribute 'parentSI' = 'gramsPerHour'
        |     |     |     |  \___attribute 'unitType' = 'massFlux'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'micrograms per hour'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'numberPerMeter'
        |     |     |     |  \___attribute 'name' = 'numberPerMeter'
        |     |     |     |  \___attribute 'unitType' = 'arealDensity'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'Number per meter'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'numberPerMeterCubed'
        |     |     |     |  \___attribute 'multiplierToSI' = '1'
        |     |     |     |  \___attribute 'name' = 'numberPerMeterCubed'
        |     |     |     |  \___attribute 'unitType' = 'volumetricDensity'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'number per meter cubed'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'numberPerMeterSquared'
        |     |     |     |  \___attribute 'multiplierToSI' = '1'
        |     |     |     |  \___attribute 'name' = 'numberPerMeterSquared'
        |     |     |     |  \___attribute 'unitType' = 'arealDensity'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'number per meter squared'
        |     |     |     |___text '\n            '
        |     |     |___text '\n         '
        |     |___text '\n      '
        |___text '\n   '

EDI is a collaboration between the University of New Mexico and the University of Wisconsin – Madison, Center for Limnology:

UNM logo UW-M logo