Dataset: Eelgrass shoot density measurements taken during ecological field surveys along the eastern Pacific coast in June through August of 2019, 2020, and 2021.

ValidatedFinal no updates expectedDOI: 10.26008/1912/bco-dmo.879764.1Version 1 (2022-10-13)Dataset Type:Other Field Results

Principal Investigator: Drew Harvell (Cornell University)

Co-Principal Investigator: J. Emmett Duffy (Smithsonian Environmental Research Center)

Co-Principal Investigator: Carla P. Gomes (Cornell University)

Co-Principal Investigator: Timothy Hawthorne (University of Central Florida)

Co-Principal Investigator: John J. Stachowicz (University of California-Davis)

Scientist, Data Manager: Lillian Aoki (Cornell University)

BCO-DMO Data Manager: Dana Stuart Gerlach (Woods Hole Oceanographic Institution)


Project: Collaborative Research: The role of a keystone pathogen in the geographic and local-scale ecology of eelgrass decline in the eastern Pacific (Eelgrass disease)


Abstract

These data were collected during ecological field surveys of eelgrass (Zostera marina) meadows along the eastern Pacific from southeastern Alaska to southern California. Parameters measured include seagrass morphology, meadow condition (e.g. shoot densities), and incidence and severity of eelgrass wasting disease. Data were collected within the intertidal area of 32 eelgrass meadows distributed in six regions (five-six meadows sampled in the regions of Alaska, British Columbia, Washington, Orego...

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Field surveys of eelgrass meadow sites were conducted at mid-summer low tides at field sites along the west coast of North America in the U.S. and Canada.  Samples and data were collected within the intertidal area of 32 eelgrass meadows distributed in six regions (Alaska, British Columbia, Washington, Oregon, California -Bodega Bay, and California -San Diego). Surveys were conducted between late June and early August in 2019, 2020, and 2021 by teams from six institutions.

For each site, three 20 meter transects were laid parallel to the shore at the shoreward (upper edge) of continuous eelgrass, and three lower (intertidal) 20 meter transects were laid at least 4 meters closer to the water.  Shoot density and canopy cover were measured at meters 4, 8, 12, and 16.  At each meter, a PVC quadrat was placed on the upper (landward) side of the transect tape, aligning the lower left corner of the quadrat with the meter mark.  The percent cover within the quadrat area was recorded for seagrass, bare sediment, and other (macroalgae unless noted otherwise).  Shoot densities, categorized by the number of vegetative and flowering shoots, were then counted.  Only shoots rooted in the quadrat were included in the density counts.  Quadrats for shoot density range in size from 0.0625 to 0.36 square meters.  Quadrats for cover ranged in size from 0.09 to 1 square meter.  Quadrat size was determined by expert judgment of the practitioners at each field site.  

Transect locations were recorded using a hand-held GPS (exact model varied between field locations). Salinity was measured at the time of sampling using a refractometer. Temperature loggers (HOBO MX 2201 and UA-001-64, Onset, Bourne, MA) were deployed at each eelgrass meadow site to provide a continuous record of in situ temperature.  For HOBO data, see https://www.bco-dmo.org/dataset/877355 and Related Datasets section below.

~ For methodology details, see Aoki et al. (2022)
~ Additional details for the field surveys are available in the Eelgrass Disease Project Handbook.
~ For 16S rRNA amplicon sequencing of eelgrass associated bacteria, refer to NCBI BioProject PRJNA802566 in the Related Datasets section below.  

 


Related Datasets

IsRelatedTo

Dataset: Eelgrass Disease Metrics
Harvell, D., Gomes, C. P., Hawthorne, T., Stachowicz, J. J., Duffy, J. E., Aoki, L. (2022) Eelgrass disease metrics from ecological field surveys along the eastern Pacific coast in June through August of 2019, 2020, and 2021. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2022-10-13 doi:10.26008/1912/bco-dmo.879780.1
IsRelatedTo

Dataset: Eelgrass Shoot Metrics
Harvell, D., Gomes, C. P., Hawthorne, T., Stachowicz, J. J., Duffy, J. E., Aoki, L. (2022) Eelgrass shoot metrics from ecological field surveys in six regions along the eastern Pacific coast in June through August of 2019, 2020, and 2021. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2022-10-13 doi:10.26008/1912/bco-dmo.878857.1
IsSupplementedBy

Dataset: HOBO temperatures from eelgrass field surveys
Harvell, D., Gomes, C. P., Hawthorne, T., Stachowicz, J. J., Duffy, J. E., Aoki, L. (2022) In situ temperature measurements from eelgrass meadow field sites along the west coast of North America recorded from July 2019 to July 2021. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2022-10-14 doi:10.26008/1912/bco-dmo.877355.1
IsSupplementedBy

Dataset: http://www.ncbi.nlm.nih.gov/bioproject/PRJNA802566
University of California, Davis. 16S rRNA amplicon sequencing of eelgrass associated bacteria. 2022/02. In: BioProject [Internet]. Bethesda, MD: National Library of Medicine (US), National Center for Biotechnology Information; 2011-. Available from: http://www.ncbi.nlm.nih.gov/bioproject/PRJNA802566. NCBI:BioProject: PRJNA802566.

Related Publications

Methods

Rappazzo, B. H., Eisenlord, M. E., Graham, O. J., Aoki, L. R., Dawkins, P. D., Harvell, D., & Gomes, C. (2021). EeLISA: Combating Global Warming Through the Rapid Analysis of Eelgrass Wasting Disease. Proceedings of the AAAI Conference on Artificial Intelligence, 35(17), 15156-15165. Retrieved from https://ojs.aaai.org/index.php/AAAI/article/view/17779
Related Research

Aoki, L. R., Rappazzo, B., Beatty, D. S., Domke, L. K., Eckert, G. L., Eisenlord, M. E., Graham, O. J., Harper, L., Hawthorne, T. L., Hessing‐Lewis, M., Hovel, K. A., Monteith, Z. L., Mueller, R. S., Olson, A. M., Prentice, C., Stachowicz, J. J., Tomas, F., Yang, B., Duffy, J. E., … Harvell, C. D. (2022). Disease surveillance by artificial intelligence links eelgrass wasting disease to ocean warming across latitudes. Limnology and Oceanography, 67(7), 1577–1589. Portico. https://doi.org/10.1002/lno.12152