http://lod.bco-dmo.org/id/dataset/990963
eng; USA
utf8
dataset
Highest level of data collection, from a common set of sensors or instrumentation, usually within the same research project
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
2026-01-05
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Sea star abundance from surveys along the Oregon and Northern California rocky intertidal coastline from 2000 to 2024
2026-01-30
publication
2026-01-30
revision
BCO-DMO Linked Data URI
2026-01-30
creation
http://lod.bco-dmo.org/id/dataset/990963
Bruce A. Menge
Oregon State University
principalInvestigator
Sarah Gravem
Oregon State University
principalInvestigator
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
publisher
Cite this dataset as: Gravem, S., Menge, B. A. (2026) Sea star abundance from surveys along the Oregon and Northern California rocky intertidal coastline from 2000 to 2024. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2026-01-30 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/990963 [access date]
Dataset Description: <p>This time series is part of the LTREB project listed on this page (Award&nbsp;DEB-2050017) and was supported by the prior awards listed in the “Awards” section on this page.<br />
<br />
<span style="font-size:13px">SSWD = Sea star wasting disease</span></p>
<div><span style="font-size:13px">Organism identifiers (Life Science Identifiers, LSIDs):</span></div>
<div><span style="font-size:13px">Pisaster ochraceus, urn:lsid:marinespecies.org:taxname:240755</span></div>
<div><span style="font-size:13px">Pisaster, urn:lsid:marinespecies.org:taxname:240754</span></div> Methods and Sampling: <p>Our studies took place at eight sites along the Oregon coast spanning ~260 km from 44.5N to 42.75N latitude (Fig. 1, Table S1 of <span style="font-size:13px">Gravem et al (2025)</span>). All are predominantly rocky shores with relatively gentle slopes and have typical patterns of zonation, with a high-intertidal zone dominated by barnacles and fucoid algae, a mid-intertidal zone dominated by mussels, and a low-intertidal zone with a diverse assemblage of macrophytes and sessile invertebrates.</p>
<p>Belt Transects</p>
<p>Because of the importance of <em>Pisaster </em>in influencing community structure through its consumption of mussels and other prey, in 2000-2001 we initiated a program of ~twice-annual belt transects to quantify sea star size structure and density at each site. Surveys generally occurred in spring (April or May) and summer (July, August, or September), but in some years surveys were more or less frequent. Belt transects were replicated (n = 5) in 2 x 5 or 2 x 10 m rectangular areas (plots or belts) sampled below the bottom edge of mussel beds in the same location each year, with plot size enlarged to 2 x10m at years or sites when <em>Pisaster </em>abundance was low. Belt replicates were spaced throughout the defined study site to capture the density of <em>Pisaster</em> just below mussel beds. In each belt, researchers carefully searched for and collected all sea stars present and then wet weighed and measured arm lengths (madreporite to tip of opposite arm). Sea stars were often abundant, so when we reached the threshold of 200 animals in site and sample date, we finished that transect, then discontinued weighing and measuring in subsequent transects. Instead, we counted the remaining sea stars in these transects to capture densities. When sea stars were sparse, we surveyed additional transects (up to 10 total) to assess size structure of 200 animals where possible, but these additional transects were not used for density calculations since they were not replicated over time. After measurements, all sea stars were returned to their respective belt plots. Overall, we performed 440 surveys over 24 years at these 8 sites, which included 1,582 transects and measurements of 143,241 individual sea stars.</p>
<p>We calculated density as the count in each plot divided by plot area, which we calculated separately for each life stage for measured animals (see below). We calculated average size in each transect as the average wet weight. Since time constraints, the SSWD pandemic, or field scale failure sometimes forced us to measure only arm lengths but not weights, we developed an equation for estimating weights based on lengths as [wet weight in grams = 0.417 * (arm length in cm)<sup>2.574</sup>]. We calculated biomass density as the total weight of animals per meter<sup>2</sup> in each transect. This is a potentially more accurate measure of ecological importance since <em>Pisaster</em> can vary several orders of magnitude in size and since potential predation rates and top-down control of mussels can increase dramatically as sea stars grow.</p>
<p>Sea Star Wasting Surveys and Disease Phases</p>
<p>In 2014-2015, when the pandemic was at outbreak levels in Oregon, we quantified disease occurrence using frequent (biweekly to monthly) surveys at each site. For disease frequency surveys, we searched a large area (100s of m<sup>2</sup>) within the study site for all sea stars. We recorded if the animal was apparently healthy or not, and if not, recorded the symptom(s), including lesions, deflation, arm loss, arm twisting, losing grip and disintegration. We calculated percent diseased as the percent of the total animals that exhibited any SSWD symptom. After 2015, disease occurrence mostly was quantified in the belt transects supplemented by periodic wider surveys as above. Since we had never observed a prior outbreak of SSWD nor instances of disease symptoms, we assumed pre-SSWD percent diseased was 0.</p>
<p>Using our disease frequency and demographic data, we divided the SSWD outbreak into 4 phases, with <em>Pre-SSWD </em>(or P<em>re-wasting</em>)<em> </em>as before 2014, <em>During outbreak </em>as 2014 when symptoms peaked, <em>Post-SSWD</em> (or <em>Post-wasting</em>)<em> </em>as 2015-2020 when small outbreaks continued to occur and adult populations were clearly still low, and <em>Current</em> as 2021-2024 when adult populations had begun to recover at several sites (though small outbreaks continued to occur).&nbsp;</p>
<p>Categorization of Life Stages</p>
<p>We categorized different life stages of <em>Pisaster </em>into recruits (which we sometimes split into young-of-year recruits and older recruits),<em> </em>juveniles, and adults. Post-larval individuals (several weeks or months old) were not targeted by our surveys. We defined ‘young-of-year (YOY) recruits’ ranging in size from 0.01 to 1 g wet weight and 3 to 14 mm arm length. &nbsp;We define older recruits as individuals of 1 to 5 g wet weight, ~1.4 to 2.6 cm in arm length, and based on our size structure histograms are ~2-3 years old. We defined juveniles as individuals 5 to 80 g and ~2.6 to 7.7 cm arm length (this corresponds to roughly 2-6 years old) and defined adults as &gt;80g, and &gt;7.7cm arm length.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1061233 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1061233
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-0726983 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=0726983
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1448913 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1448913
Funding provided by NSF Division of Environmental Biology (NSF DEB) Award Number: DEB-2050017 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=2050017
Funding provided by NSF Division of Environmental Biology (NSF DEB) Award Number: DEB-1554702 Award URL: https://www.nsf.gov/awardsearch/show-award/?AWD_ID=1554702
Funding provided by NSF Division of Environmental Biology (NSF DEB) Award Number: DEB-1050694 Award URL: https://www.nsf.gov/awardsearch/show-award/?AWD_ID=1050694
onGoing
Bruce A. Menge
Oregon State University
541-737-5358
Department of Integrative Biology 4575 SW Research Way
Corvallis
OR
97333
USA
mengeb@oregonstate.edu
pointOfContact
Sarah Gravem
Oregon State University
sgravem@calpoly.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
TransectSurveyID
SurveyID
TransectID
GroupCode
Region
Cape
CapeNum
SiteCode_STARS
Site
SiteNum
Latitude
Longitude
SiteType
Year
AvgSurveyDate
SurveyPeriod
Season
SeasonCode
YearOfSSWS
DateofSSWS
YrSinceSSWS
DiseasePhase3
DiseasePhase4
Transect
TransectArea_m2
SpeciesCode
Tot_Indivs
Tot_Biomass_g
Density_m2
Biomass_g_m2
theme
None, User defined
transect
sample description
transect_code
region
site description
Site_ID
site
latitude
longitude
time_elapsed
area
taxon_code
count
weight_g
density
featureType
BCO-DMO Standard Parameters
otherRestrictions
otherRestrictions
Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use.
LTREB: Testing tipping points in a model rocky intertidal meta-ecosystem – Climate-change, increasing variances, and response mechanisms
https://osprey.bco-dmo.org/project/865695
LTREB: Testing tipping points in a model rocky intertidal meta-ecosystem – Climate-change, increasing variances, and response mechanisms
<p>NSF abstract:</p>
<p>In recent decades, ocean ecosystems, long thought to be immune to change, have undergone disruptions to their structure, diversity, and geographic range, yet the actual underlying reasons for such changes in oceanic biota are often unclear. Coastal intertidal zones (i.e., the shore between high and low tides) have long served as important ecological model systems because of advantages in accessibility and ease of observation, occupancy by easily studied and manipulated organisms of relatively short lifespans, and exposure to often severe environmental conditions. This research will address the stability of a well-known rocky shore system along the Oregon and California coasts. Prior long-term research indicates that, although casual observation suggests these systems are stable, in fact, they may be on the cusp of shifting into another state, losing iconic organisms like mussels and sea stars, and becoming dominated by seaweeds. These changes might be comparable to losing trees and large predators from terrestrial systems. This study would result in the training of undergraduates and graduate students, including individuals from under-represented groups. Additionally, this study would include outreach to the general public.</p>
<p>The researchers will focus particularly on impacts of increasing and more variable warming on community recovery. For example, climate oscillations (e.g., El Niño), coastal upwelling, and particularly temperature have all changed in recent decades in ways leading to increased stress on intertidal biota. In apparent response, coastal ecosystems evidently have become less productive, organismal performance (growth, reproduction) has declined, and key dynamical processes (species interactions) have weakened. The new research will pursue these strong hints of an impending “tipping point” by (1) continuing the projects that led to the insights of increasing instability, (2) adding new projects that will pinpoint ecological changes, and (3) expanding the region of work to include locations in California. Research will assess whether or not sea stars recover from wasting disease, experimentally test if species interactions are indeed weakening, quantify the annual inputs of new prey and changes in abundance, diversity, stability, and resilience of intertidal communities, and document changes in the physical environment. Using field observations and experiments, the research will provide insight into impacts of environmental change, particularly warming, on the future of coastal ecosystems, and more generally, into possible future states of Earth’s ecosystems. Using these data, we will test the hypothesis that direct and indirect effects of climate change are driving, or may drive these systems into new, alternative states.</p>
<p>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.</p>
LTREB Intertidal Tipping Points
largerWorkCitation
project
eng; USA
oceans
-124.56512
-117.79941
33.54476929
45.02574539
2000-07-05
2024-08-20
West coast of North America
0
BCO-DMO catalogue of parameters from Sea star abundance from surveys along the Oregon and Northern California rocky intertidal coastline from 2000 to 2024
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
http://lod.bco-dmo.org/id/dataset-parameter/993218.rdf
Name: TransectSurveyID
Units: unitless
Description: <p>Unique identifier for each transect listing Site_Transect_Year_SurveySet. [Example: FC_BT2_2021_A].[DataType: Character]</p>
http://lod.bco-dmo.org/id/dataset-parameter/993219.rdf
Name: SurveyID
Units: unitless
Description: <p>Unique identifier for each survey listing Site_Year_SurveySet. [Example: FC_2021_A].[DataType: Character]</p>
http://lod.bco-dmo.org/id/dataset-parameter/993220.rdf
Name: TransectID
Units: unitless
Description: <p>Unique identifier for each transect location, irrespective of date, listing Site_Transect. [Example: FC_BT2].[DataType: Character]</p>
http://lod.bco-dmo.org/id/dataset-parameter/993221.rdf
Name: GroupCode
Units: unitless
Description: <p>Group that took and entered the data. [CON;LiMPETS;OSU;UCSB;UCSC].[DataType: Character]</p>
http://lod.bco-dmo.org/id/dataset-parameter/993222.rdf
Name: Region
Units: unitless
Description: <p>Geographic Regions: Oregon, NorCal, CenCal, SoCal. NorCal is PSG and south. CenCal is PPT and south, SoCal is ALEG and south.. [Oregon;NorCal;CenCal;SoCal].[DataType: Character]</p>
http://lod.bco-dmo.org/id/dataset-parameter/993223.rdf
Name: Cape
Units: unitless
Description: <p>Full cape name. Annotated using SiteList_STARS. [See sitelist_stars.csv].[DataType: Character]</p>
http://lod.bco-dmo.org/id/dataset-parameter/993224.rdf
Name: CapeNum
Units: unitless
Description: <p>Cape order from North to South. [See sitelist_stars.csv].[DataType: Number]</p>
http://lod.bco-dmo.org/id/dataset-parameter/993225.rdf
Name: SiteCode_STARS
Units: unitless
Description: <p>Abbreviation that denotes the site where the data was collected. Site codes are unique to specific locations along the coast. . [See sitelist_stars.csv].[DataType: Character]</p>
http://lod.bco-dmo.org/id/dataset-parameter/993226.rdf
Name: Site
Units: unitless
Description: <p>Full site name. Annotated using SiteList_STARS. [See sitelist_stars.csv].[DataType: Character]</p>
http://lod.bco-dmo.org/id/dataset-parameter/993227.rdf
Name: SiteNum
Units: unitless
Description: <p>Site order from North to South.. [See sitelist_stars.csv].[DataType: Number]</p>
http://lod.bco-dmo.org/id/dataset-parameter/993228.rdf
Name: Latitude
Units: decimal degrees
Description: <p>Latitude of site.. [See sitelist_stars.csv].[DataType: Number]</p>
http://lod.bco-dmo.org/id/dataset-parameter/993229.rdf
Name: Longitude
Units: decimal degrees
Description: <p>Longitude of site. [See sitelist_stars.csv].[DataType: Number]</p>
http://lod.bco-dmo.org/id/dataset-parameter/993230.rdf
Name: SiteType
Units: unitless
Description: <p>Type of Site for the STARS Project. Core or Ancillary. [Core;Ancillary].[DataType: Character]</p>
http://lod.bco-dmo.org/id/dataset-parameter/993231.rdf
Name: Year
Units: unitless
Description: <p>Year of Survey as a number. [Year].[DataType: Number]</p>
http://lod.bco-dmo.org/id/dataset-parameter/993232.rdf
Name: AvgSurveyDate
Units: unitless
Description: <p>Date. [Date].[DataType: POSIXct]</p>
http://lod.bco-dmo.org/id/dataset-parameter/993233.rdf
Name: SurveyPeriod
Units: unitless
Description: <p>The survey sets for a given site within a calendar year. Labeled as A, B, C etc. Often are spring and summer surveys labeled A and B, but some years have just one survey (A) and some have 3 (A,B,C) or 4 (A,B,C,D). [A, B, C, D].[DataType: Character]</p>
http://lod.bco-dmo.org/id/dataset-parameter/993234.rdf
Name: Season
Units: unitless
Description: <p>Season of the year according to the month: Months 12-2= WN, 3-5=SP, 6-8=SU, 9-11=FA. [SP, SU, FA, WN].[DataType: Character]</p>
http://lod.bco-dmo.org/id/dataset-parameter/993235.rdf
Name: SeasonCode
Units: unitless
Description: <p>Abbreviation that denotes season as well as year that the data was collected. Is written as abbreviation of season followed by YYYY. . [SP2021, FA2018, etc. ].[DataType: Character]</p>
http://lod.bco-dmo.org/id/dataset-parameter/993236.rdf
Name: YearOfSSWS
Units: unitless
Description: <p>Year SSWS occurred. Usually 2013 in California and 2014 in Oregon. [See sitelist_stars.csv].[DataType: Number]</p>
http://lod.bco-dmo.org/id/dataset-parameter/993237.rdf
Name: DateofSSWS
Units: unitless
Description: <p>Date SSWS occurred in the region according to Gravem et al. 2020. . [DataType: POSIXct]</p>
http://lod.bco-dmo.org/id/dataset-parameter/993238.rdf
Name: YrSinceSSWS
Units: unitless
Description: <p>Years elapsed since SSWS. [Year- YearOfSSWS in number of years].[DataType: Number]</p>
http://lod.bco-dmo.org/id/dataset-parameter/993239.rdf
Name: DiseasePhase3
Units: unitless
Description: <p>Before, During or After Disease Outbreak. [DataType: Character]</p>
http://lod.bco-dmo.org/id/dataset-parameter/993240.rdf
Name: DiseasePhase4
Units: unitless
Description: <p>Pre, During Post, or Recovery Phase of Disease Outbreak. [DataType: Character]</p>
http://lod.bco-dmo.org/id/dataset-parameter/993241.rdf
Name: Transect
Units: unitless
Description: <p>Transect Number with 'BT' to indicate Belt Transect. Typically 5 per site. If extra transects of known area were done, they are entered as BT6, BT7, etc. If extra transects were done of unknown area, named BTN and surface area is entered as ND. [BT1, BT2...BT8, BTN].[DataType: Character]</p>
http://lod.bco-dmo.org/id/dataset-parameter/993242.rdf
Name: TransectArea_m2
Units: meters squared (m2)
Description: <p>Area searched in meters squared. Usually 10, indicating 5 x 2 m transect. [DataType: Number]</p>
http://lod.bco-dmo.org/id/dataset-parameter/993243.rdf
Name: SpeciesCode
Units: unitless
Description: <p>A 6 digit code for the species. Usually PISOCH or LEPSPP. [ACASPP;CONCAL;LEPSPP;NONE;NUCCAN;NUCEMA;NUCLAM;NUCLIM;NUCOST;OCESPP;PISOCH].[DataType: Character]</p>
http://lod.bco-dmo.org/id/dataset-parameter/993244.rdf
Name: Tot_Indivs
Units: count
Description: <p>The number of animals in a given transect, species and survey. [DataType: Number]</p>
http://lod.bco-dmo.org/id/dataset-parameter/993245.rdf
Name: Tot_Biomass_g
Units: grams (g)
Description: <p>Total biomass of seastars in the transect, in grams. [DataType: Number]</p>
http://lod.bco-dmo.org/id/dataset-parameter/993246.rdf
Name: Density_m2
Units: individuals per meter squared (#/m2)
Description: <p>Density of seastars in individuals per m2 in the transect. [DataType: Number]</p>
http://lod.bco-dmo.org/id/dataset-parameter/993247.rdf
Name: Biomass_g_m2
Units: grams per meter squared (g/m2)
Description: <p>Biomass density of seastars in grams per m2 in the transect. [DataType: Number]</p>
GB/NERC/BODC > British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
https://osprey.bco-dmo.org/dataset/990963/data/download
download
onLine
dataset
<p>Our studies took place at eight sites along the Oregon coast spanning ~260 km from 44.5N to 42.75N latitude (Fig. 1, Table S1 of <span style="font-size:13px">Gravem et al (2025)</span>). All are predominantly rocky shores with relatively gentle slopes and have typical patterns of zonation, with a high-intertidal zone dominated by barnacles and fucoid algae, a mid-intertidal zone dominated by mussels, and a low-intertidal zone with a diverse assemblage of macrophytes and sessile invertebrates.</p>
<p>Belt Transects</p>
<p>Because of the importance of <em>Pisaster </em>in influencing community structure through its consumption of mussels and other prey, in 2000-2001 we initiated a program of ~twice-annual belt transects to quantify sea star size structure and density at each site. Surveys generally occurred in spring (April or May) and summer (July, August, or September), but in some years surveys were more or less frequent. Belt transects were replicated (n = 5) in 2 x 5 or 2 x 10 m rectangular areas (plots or belts) sampled below the bottom edge of mussel beds in the same location each year, with plot size enlarged to 2 x10m at years or sites when <em>Pisaster </em>abundance was low. Belt replicates were spaced throughout the defined study site to capture the density of <em>Pisaster</em> just below mussel beds. In each belt, researchers carefully searched for and collected all sea stars present and then wet weighed and measured arm lengths (madreporite to tip of opposite arm). Sea stars were often abundant, so when we reached the threshold of 200 animals in site and sample date, we finished that transect, then discontinued weighing and measuring in subsequent transects. Instead, we counted the remaining sea stars in these transects to capture densities. When sea stars were sparse, we surveyed additional transects (up to 10 total) to assess size structure of 200 animals where possible, but these additional transects were not used for density calculations since they were not replicated over time. After measurements, all sea stars were returned to their respective belt plots. Overall, we performed 440 surveys over 24 years at these 8 sites, which included 1,582 transects and measurements of 143,241 individual sea stars.</p>
<p>We calculated density as the count in each plot divided by plot area, which we calculated separately for each life stage for measured animals (see below). We calculated average size in each transect as the average wet weight. Since time constraints, the SSWD pandemic, or field scale failure sometimes forced us to measure only arm lengths but not weights, we developed an equation for estimating weights based on lengths as [wet weight in grams = 0.417 * (arm length in cm)<sup>2.574</sup>]. We calculated biomass density as the total weight of animals per meter<sup>2</sup> in each transect. This is a potentially more accurate measure of ecological importance since <em>Pisaster</em> can vary several orders of magnitude in size and since potential predation rates and top-down control of mussels can increase dramatically as sea stars grow.</p>
<p>Sea Star Wasting Surveys and Disease Phases</p>
<p>In 2014-2015, when the pandemic was at outbreak levels in Oregon, we quantified disease occurrence using frequent (biweekly to monthly) surveys at each site. For disease frequency surveys, we searched a large area (100s of m<sup>2</sup>) within the study site for all sea stars. We recorded if the animal was apparently healthy or not, and if not, recorded the symptom(s), including lesions, deflation, arm loss, arm twisting, losing grip and disintegration. We calculated percent diseased as the percent of the total animals that exhibited any SSWD symptom. After 2015, disease occurrence mostly was quantified in the belt transects supplemented by periodic wider surveys as above. Since we had never observed a prior outbreak of SSWD nor instances of disease symptoms, we assumed pre-SSWD percent diseased was 0.</p>
<p>Using our disease frequency and demographic data, we divided the SSWD outbreak into 4 phases, with <em>Pre-SSWD </em>(or P<em>re-wasting</em>)<em> </em>as before 2014, <em>During outbreak </em>as 2014 when symptoms peaked, <em>Post-SSWD</em> (or <em>Post-wasting</em>)<em> </em>as 2015-2020 when small outbreaks continued to occur and adult populations were clearly still low, and <em>Current</em> as 2021-2024 when adult populations had begun to recover at several sites (though small outbreaks continued to occur).&nbsp;</p>
<p>Categorization of Life Stages</p>
<p>We categorized different life stages of <em>Pisaster </em>into recruits (which we sometimes split into young-of-year recruits and older recruits),<em> </em>juveniles, and adults. Post-larval individuals (several weeks or months old) were not targeted by our surveys. We defined ‘young-of-year (YOY) recruits’ ranging in size from 0.01 to 1 g wet weight and 3 to 14 mm arm length. &nbsp;We define older recruits as individuals of 1 to 5 g wet weight, ~1.4 to 2.6 cm in arm length, and based on our size structure histograms are ~2-3 years old. We defined juveniles as individuals 5 to 80 g and ~2.6 to 7.7 cm arm length (this corresponds to roughly 2-6 years old) and defined adults as &gt;80g, and &gt;7.7cm arm length.</p>
Specified by the Principal Investigator(s)
<p>See associated paper - Gravem and Menge 2025. Metapopulation-scale resilience to disease-induced mass&nbsp;mortality in a keystone predator: From stasis to instability. Ecosphere. 2025;16:e70426. DOI: 10.1002/ecs2.70426</p>
Specified by the Principal Investigator(s)
* Sheet BT_Density of submitted file "BCODMO_BTMasterAnnot_2000-2024_2025-03-06_SAG.xlsx" was imported into the BCO-DMO data system for this dataset. Values "NA" imported as missing data values. Table will appear as Data File: 990963_v1_belt-transect_density.csv (along with other download format options).
Missing Data Identifiers:
* In the BCO-DMO data system missing data identifiers are displayed according to the format of data you access. For example, in csv files it will be blank (null) values. In Matlab .mat files it will be NaN values. When viewing data online at BCO-DMO, the missing value will be shown as blank (null) values.
Supplemental Files:
* Validation Lists extracted from sheet ValidationList in BCODMO_BTMasterAnnot_2000-2024_2025-03-06_SAG.xlsx. Reformatted to not imply this is a table but rather unique lists of controlled vocabulary elements the study used.
* Table within BCODMO_SiteList_STARS_2023-04-11_SAG.xlsx added as supplemental file sitelist_stars.csv
Specified by BCO-DMO Data Managers
asNeeded
7.x-1.1
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
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