Dataset: Macroalgal production rates calculated from field data collected during macroalgal surveys in Sitka Sound, Alaska kelp beds from 2017 to 2019

ValidatedFinal no updates expectedDOI: 10.26008/1912/bco-dmo.882071.1Version 1 (2022-10-10)Dataset Type:Other Field Results

Principal Investigator: Kristy J. Kroeker (University of California-Santa Cruz)

Student, Contact: Lauren E. Bell (University of California-Santa Cruz)

BCO-DMO Data Manager: Amber D. York (Woods Hole Oceanographic Institution)


Project: CAREER: Energy fluxes and community stability in a dynamic, high-latitude kelp ecosystem (High latitude kelp dynamics)


Abstract

Macroalgal production rates calculated from field data collected during macroalgal surveys in Sitka Sound, Alaska kelp beds from 2017 to 2019. These data will be published in Bell, L. E. and Kroeker, K. J. (in review).

See the Supplemental File "Methods_productionrates.pdf" which includes equations in-line with methods text.

Additional Funding Details:
In addition to primary funding from the NSF award OCE-1752600 additional funding was provided from The David and Lucile Packard Foundation and the North Pacific Research Board’s Graduate Student Research Award (1748-01) to Lauren Bell, PhD University of California Santa Cruz, Award title: "Fish Habitat, Fishes and Invertebrates, Lower Trophic Level Productivity Effect of substrate on herring roe response to global change."


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Related Publications

Results

Bell, L. E., & Kroeker, K. J. (2022). Standing Crop, Turnover, and Production Dynamics of Macrocystis pyrifera and Understory Species Hedophyllum nigripes and Neoagarum fimbriatum in High Latitude Giant Kelp Forests. Journal of Phycology, 58(6), 773–788. Portico. https://doi.org/10.1111/jpy.13291
Methods

Gevaert, F., Davoult, D., Creach, A., Kling, R., Janquin, M.-A., Seuront, L., & Lemoine, Y. (2001). Carbon and nitrogen content of Laminaria saccharina in the eastern English Channel: biometrics and seasonal variations. Journal of the Marine Biological Association of the United Kingdom, 81(5), 727–734. https://doi.org/10.1017/s0025315401004532
Methods

Rassweiler, A., Arkema, K. K., Reed, D. C., Zimmerman, R. C., & Brzezinski, M. A. (2008). NET PRIMARY PRODUCTION, GROWTH, AND STANDING CROP OFMACROCYSTIS PYRIFERAIN SOUTHERN CALIFORNIA. Ecology, 89(7), 2068–2068. https://doi.org/10.1890/07-1109.1
Methods

Rassweiler, A., Reed, D. C., Harrer, S. L., & Nelson, J. C. (2018). Improved estimates of net primary production, growth, and standing crop of Macrocystis pyrifera in Southern California. Ecology, 99(9), 2132–2132. Portico. https://doi.org/10.1002/ecy.2440
Software

R Core Team (2021). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/