http://lod.bco-dmo.org/id/dataset/986216
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
2025-10-07
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Monthly mean sea surface temperature (SST) around premier seabird colonies from 1981 to 2024 (Stratification impacts on seabirds project)
2025-10-07
publication
2025-10-07
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2025-11-21
publication
https://doi.org/10.26008/1912/bco-dmo.986216.1
William Sydeman
Farallon Institute for Advanced Ecosystem Research
principalInvestigator
Marisol Garcia Reyes
Farallon Institute for Advanced Ecosystem Research
principalInvestigator
Gammon Koval
Farallon Institute for Advanced Ecosystem Research
principalInvestigator
Sarah Ann Thompson
Farallon Institute for Advanced Ecosystem Research
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: Sydeman, W., Garcia Reyes, M., Koval, G., Thompson, S. A. (2025) Monthly mean sea surface temperature (SST) around premier seabird colonies from 1981 to 2024 (Stratification impacts on seabirds project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2025-10-07 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.986216.1 [access date]
Monthly mean sea surface temperature (SST) around premier seabird colonies Dataset Description: Methods and Sampling: <p><strong>Methods Details:</strong></p>
<p>Monthly sea surface temperature (SST) time series were derived from three Level-4, gap-filled global SST products: the Multi-scale Ultra-high Resolution SST (MUR SST; Chin et al., 2017), the Operational SST and Sea Ice Analysis (OSTIA; Donlon et al., 2012), and the Optimum Interpolation SST (OISST; Huang et al., 2021).</p>
<p>For each seabird colony, a 200-km circular buffer was generated around the nesting site coordinates. SST data within this area were extracted at each monthly time step. To exclude land, a land mask derived from the MUR SST mask variable was applied at the appropriate spatial resolution for each dataset. For colonies located in regions with seasonal sea ice, an additional ice mask was calculated for each time step by assuming that missing ocean data (not flagged as land) represented ice-covered areas. These ice masks were computed separately for each dataset and combined with the circular and land masks.</p>
<p>SST data from ice-free ocean pixels within the masked region were averaged spatially and aggregated to monthly means, producing a continuous SST time series for each colony. For each site and dataset, both mean and standard deviation were calculated. All data acquisition and processing were performed in Python using the xarray library.</p>
<p><strong>Sampling Site&nbsp;Details:</strong></p>
<p>Sea surface temperature data were extracted for 22 premier seabird colony sites worldwide (listed below), each defined as a location with a high density of seabird nests and at least two species with reproductive success time series spanning more than 25 years. For each site, a 200-km circular sampling area was centered on the colony coordinates.&nbsp;</p>
<div class="_tableContainer_1rjym_1">Admiralty; Latitude: -62.1778°; Longitude: -58.4447°<br />
Aiktak; Latitude: 54.1886°; Longitude: -164.8400°<br />
Bird; Latitude: -54.0056°; Longitude: -38.0500°<br />
Buldir; Latitude: 52.3581°; Longitude: 175.9247°<br />
Cape Peirce; Latitude: 58.5528°; Longitude: -161.7690°<br />
Chowiet; Latitude: 56.0342°; Longitude: -156.7012°<br />
Crozet; Latitude: -46.4167°; Longitude: 51.8333°<br />
Foula; Latitude: 60.1385°; Longitude: -2.0793°<br />
Hornøya; Latitude: 70.3877°; Longitude: 31.1553°<br />
Isle of May; Latitude: 56.1858°; Longitude: -2.5575°<br />
Kerguelen; Latitude: -48.4000°; Longitude: 68.3667°<br />
Middleton; Latitude: 59.4382°; Longitude: -146.3266°<br />
Pointe Géologie; Latitude: -66.6667°; Longitude: 140.0167°<br />
Røst; Latitude: 67.5200°; Longitude: 12.0989°<br />
Southeast Farallon; Latitude: 37.7249°; Longitude: -123.0303°<br />
Seal Island NWR; Latitude: 43.8876°; Longitude: -68.7408°<br />
Shetland; Latitude: 60.4100°; Longitude: -1.2600°<br />
Signy; Latitude: -60.7170°; Longitude: -45.6000°<br />
St. George; Latitude: 56.5743°; Longitude: -169.6130°<br />
St. Lazaria; Latitude: 56.9872°; Longitude: -135.7047°<br />
St. Paul; Latitude: 57.2044°; Longitude: -170.2830°<br />
Talan; Latitude: 59.3107°; Longitude: 149.0829°<br />
Teuri; Latitude: 44.4167°; Longitude: 141.3000°</div>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-2142918 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=2142918
completed
William Sydeman
Farallon Institute for Advanced Ecosystem Research
707-478-1381
101 H St. Suite Q
Petaluma
CA
94952-1092
USA
wsydeman@faralloninstitute.org
pointOfContact
Marisol Garcia Reyes
Farallon Institute for Advanced Ecosystem Research
707-478-1381
101 H St. Suite Q
Petaluma
CA
94952-1092
USA
marisolgr@gmail.com
pointOfContact
Gammon Koval
Farallon Institute for Advanced Ecosystem Research
gkoval@faralloninstitute.org
pointOfContact
Sarah Ann Thompson
Farallon Institute for Advanced Ecosystem Research
sathompson@faralloninstitute.org
pointOfContact
asNeeded
Dataset Version: 1
Unknown
time
analysed_sst_mean
analysed_sst_std
mask_clip
Sourced_SST_Data_Product
Site_Name
site_latitude_degN
site_longitude_degE
Year_Coverage_Range_Start
Year_Coverage_Range_End
Original_File_Name
theme
None, User defined
date
sea surface temperature
area_measured
No BCO-DMO term
site
latitude
longitude
year_start
year_end
file_name
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.
Global analysis of stratification impacts on seabirds through food resources
https://osprey.bco-dmo.org/project/867879
Global analysis of stratification impacts on seabirds through food resources
<p><em>NSF Award Abstract:</em><br />
Global warming is affecting the world’s oceans by altering marine habitats, yet the effects on marine life vary by ocean region. One factor that may explain these observations is that ocean surface waters have warmed faster than deeper waters. Temperature differences may act as a physical barrier to mixing, thereby impeding deeper nutrients from reaching the sunlit surface where they are used by ocean plants in photosynthesis. With less mixing, the upper layers of the ocean may have become less productive, which may in turn impact marine fish, bird, and mammal populations of economic and cultural (ecological) value to society. To conduct this study, the investigators are examining the effects of ocean warming by depth on the abundance of plankton, small fish, and the breeding success of marine birds across the world using existing long-term data. They are developing mathematical relationships to understand how ocean warming at various depths is linked to plankton, fish, and bird productivity. Results will provide key information for selecting which seabird species may be best suited as ecological indicators of change for different ecosystems across the globe, and therefore has implications for remote-ocean monitoring. The project will contribute new scientific understanding for upcoming United Nation assessment reports and enhance public awareness of ocean health through outreach materials centered on popular seabirds such as puffins and penguins. It will support early career and postdoctoral scientists.</p>
<p>Ocean thermal stratification is an important factor determining primary productivity in epipelagic zones of the world’s oceans. A recent global analysis showed declining trends in the breeding productivity of fish-eating seabirds that forage in the epipelagic zone, but increasing stratification has yet to be investigated as an explanatory factor. The primary objective of this project is to test the hypothesis that seabird species groups vary in their responses to increasing thermal stratification through the indirect effects of stratification on epipelagic food resource availability and/or prey use by the birds. The investigators are testing the prediction that thermal stratification has the largest effect on breeding productivity of piscivorous, surface-foraging species. They are integrating a new global database on seabird productivity with high-resolution data on thermal stratification available from the European GLORYS model, as well as satellite-based chlorophyll-a data from NASA. They are using Generalized Linear Mixed Models to test for variation between seabird groups and Structural Equation Models to test direct and indirect pathways of response from stratification through prey availability to seabird productivity, focusing on mid-to-high latitude ecosystems across ocean basins in both the northern and southern hemispheres. Results will improve understanding of how seabirds respond to increasing thermal stratification in relation to fundamental differences in seabird life history traits. The retrospective analysis will advance knowledge of how seabirds that feed on different prey, and in different epipelagic habitats of the world’s oceans, have responded to recent increases in stratification. More generally, the study will contribute insight into how physical changes in the upper ocean affect predators through the availability of food resources.</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>
<p>Location Description:<br />
Data to be analyzed are from around the world and contributed from numerous local providers and other groups. The study area is the global ocean. Analysis will be done at the Farallon Institute, located in Petaluma, California.</p>
Stratification impacts on seabirds
largerWorkCitation
project
eng; USA
oceans
-170.283
175.924722
-66.66667
70.3877
1981-09-01
2024-05-22
global
0
BCO-DMO catalogue of parameters from Monthly mean sea surface temperature (SST) around premier seabird colonies from 1981 to 2024 (Stratification impacts on seabirds 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
http://lod.bco-dmo.org/id/dataset-parameter/988981.rdf
Name: time
Units: unitless
Description: <p>Date when sea surface temperature was measured at the site. </p>
http://lod.bco-dmo.org/id/dataset-parameter/988982.rdf
Name: analysed_sst_mean
Units: degrees Celsius
Description: <p>Sea surface temperature (SST) averaged within the 200-km radius around the seabird colony for the specific date.</p>
http://lod.bco-dmo.org/id/dataset-parameter/988983.rdf
Name: analysed_sst_std
Units: degrees Celsius
Description: <p>Standard deviation of SST calculated within the 200-km radius around the seabird colony for the specific date.</p>
http://lod.bco-dmo.org/id/dataset-parameter/988984.rdf
Name: mask_clip
Units: unitless
Description: <p>Proportion of land/ice data within the 200-km radius 'mask' around a seabird colony. Range: 0-1.</p>
http://lod.bco-dmo.org/id/dataset-parameter/988985.rdf
Name: Sourced_SST_Data_Product
Units: unitless
Description: <p>Dataset where the sea surface temperature data originated. OISST: NOAA Optimal Interpolation SST; MURSST: NASA Multi-scale Ultra-high Resolution SST; OSTIA: UK MetOffice Operational SST and Ice Analysis.</p>
http://lod.bco-dmo.org/id/dataset-parameter/988986.rdf
Name: Site_Name
Units: unitless
Description: <p>Name of seabird colony around which the SST data were derived.</p>
http://lod.bco-dmo.org/id/dataset-parameter/988987.rdf
Name: site_latitude_degN
Units: decimal degrees
Description: <p>Latitude of the seabird colony site location in decimal degrees.</p>
http://lod.bco-dmo.org/id/dataset-parameter/988988.rdf
Name: site_longitude_degE
Units: decimal degrees
Description: <p>Longitude of the seabird colony site location in decimal degrees.</p>
http://lod.bco-dmo.org/id/dataset-parameter/988989.rdf
Name: Year_Coverage_Range_Start
Units: unitless
Description: <p>The starting year of the dataset’s temporal coverage.</p>
http://lod.bco-dmo.org/id/dataset-parameter/988990.rdf
Name: Year_Coverage_Range_End
Units: unitless
Description: <p>The ending year of the dataset’s temporal coverage.</p>
http://lod.bco-dmo.org/id/dataset-parameter/988991.rdf
Name: Original_File_Name
Units: unitless
Description: <p>Filename of the originally submitted data file from which this row of data was derived.</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
82509786
https://darchive.mblwhoilibrary.org/server/api/core/bitstreams/b1426a3a-8dd5-42eb-8979-723db90295f5/content
download
https://doi.org/10.26008/1912/bco-dmo.986216.1
download
onLine
dataset
<p><strong>Methods Details:</strong></p>
<p>Monthly sea surface temperature (SST) time series were derived from three Level-4, gap-filled global SST products: the Multi-scale Ultra-high Resolution SST (MUR SST; Chin et al., 2017), the Operational SST and Sea Ice Analysis (OSTIA; Donlon et al., 2012), and the Optimum Interpolation SST (OISST; Huang et al., 2021).</p>
<p>For each seabird colony, a 200-km circular buffer was generated around the nesting site coordinates. SST data within this area were extracted at each monthly time step. To exclude land, a land mask derived from the MUR SST mask variable was applied at the appropriate spatial resolution for each dataset. For colonies located in regions with seasonal sea ice, an additional ice mask was calculated for each time step by assuming that missing ocean data (not flagged as land) represented ice-covered areas. These ice masks were computed separately for each dataset and combined with the circular and land masks.</p>
<p>SST data from ice-free ocean pixels within the masked region were averaged spatially and aggregated to monthly means, producing a continuous SST time series for each colony. For each site and dataset, both mean and standard deviation were calculated. All data acquisition and processing were performed in Python using the xarray library.</p>
<p><strong>Sampling Site&nbsp;Details:</strong></p>
<p>Sea surface temperature data were extracted for 22 premier seabird colony sites worldwide (listed below), each defined as a location with a high density of seabird nests and at least two species with reproductive success time series spanning more than 25 years. For each site, a 200-km circular sampling area was centered on the colony coordinates.&nbsp;</p>
<div class="_tableContainer_1rjym_1">Admiralty; Latitude: -62.1778°; Longitude: -58.4447°<br />
Aiktak; Latitude: 54.1886°; Longitude: -164.8400°<br />
Bird; Latitude: -54.0056°; Longitude: -38.0500°<br />
Buldir; Latitude: 52.3581°; Longitude: 175.9247°<br />
Cape Peirce; Latitude: 58.5528°; Longitude: -161.7690°<br />
Chowiet; Latitude: 56.0342°; Longitude: -156.7012°<br />
Crozet; Latitude: -46.4167°; Longitude: 51.8333°<br />
Foula; Latitude: 60.1385°; Longitude: -2.0793°<br />
Hornøya; Latitude: 70.3877°; Longitude: 31.1553°<br />
Isle of May; Latitude: 56.1858°; Longitude: -2.5575°<br />
Kerguelen; Latitude: -48.4000°; Longitude: 68.3667°<br />
Middleton; Latitude: 59.4382°; Longitude: -146.3266°<br />
Pointe Géologie; Latitude: -66.6667°; Longitude: 140.0167°<br />
Røst; Latitude: 67.5200°; Longitude: 12.0989°<br />
Southeast Farallon; Latitude: 37.7249°; Longitude: -123.0303°<br />
Seal Island NWR; Latitude: 43.8876°; Longitude: -68.7408°<br />
Shetland; Latitude: 60.4100°; Longitude: -1.2600°<br />
Signy; Latitude: -60.7170°; Longitude: -45.6000°<br />
St. George; Latitude: 56.5743°; Longitude: -169.6130°<br />
St. Lazaria; Latitude: 56.9872°; Longitude: -135.7047°<br />
St. Paul; Latitude: 57.2044°; Longitude: -170.2830°<br />
Talan; Latitude: 59.3107°; Longitude: 149.0829°<br />
Teuri; Latitude: 44.4167°; Longitude: 141.3000°</div>
Specified by the Principal Investigator(s)
<p>Sea surface temperature (SST) data from the MUR SST, OSTIA, and OISST products were processed in Python using 200-km circular masks around each seabird colony, with land and seasonal ice excluded via combined mask layers to compute monthly mean and standard deviation values for ice-free ocean areas.</p>
Specified by the Principal Investigator(s)
- When originally submitted, the dataset was distributed across multiple files, each corresponding to a specific SST data product, site name, and year range. These files have been concatenated into a single dataset, with new columns, "Sourced_SST_Data_Product", "Site_Name", and "Original_File_Name", added to retain source information.
- Site latitude and longitude values were merged into the dataset from a supplemental data file that was originally provided separately.
- The original data file contained a range of dates representing year coverage ("Year_Coverage_Range"), this column has been split into two separate columns, "Year_Coverage_Range_Start" and "Year_Coverage_Range_End."
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.
pointOfContact