Abstract
Seagrasses are a critical marine habitat and are in decline worldwide. Previous studies have demonstrated that factors such as sediment conditions, resource availability, and desiccation can influence life history transitions and morphology in intertidal eelgrass (Zostera marina L.) and therefore potential for recovery after a disturbance. We combined these factors in an exploratory path model linking environmental conditions to eelgrass vegetative (shoot size and density) and reproductive traits (branching, flowering, seedling recruitment). In this construction, significant path coefficients reveal factors influencing recovery potential. To test the path model, we collected abiotic and eelgrass data at 17 sites in the southern Salish Sea (Washington, USA) and assessed model fit with structural equation modeling. Significant path coefficients linked sediment organic content to shoot size and seedling recruitment, tidal amplitude to reduced flowering, and shoot size and density were inversely correlated. We found no significant links between any morphological or life history trait and nutrient availability, possibly reflecting consistently high nutrients across sites. Variable rates of asexual reproduction and a trade-off between shoot size and density may reflect light limitation in eelgrass’ intertidal range, where light is not expected to be strongly limiting. Overall, structural equation modeling identified organic-rich sediments as relatively more important than desiccation and nutrient conditions for resilience potential of intertidal eelgrass populations in this region. Life history and morphological traits provide eelgrass with recovery mechanisms from disturbance where sediments are muddy, which has implications for both conservation and restoration.
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Acknowledgments
We sincerely thank everyone who made this huge field effort possible: Amy Glaub, Michael Hannam, Kevin See, Lauren Sullenberger, Ginger Tennant, and students in the Spring 2007 Marine Ecology course at University of Washington: Demian Bailey, Sean Cappello, Matt Chin, Anna Choi, Nhuchi Dao, Heather Deboli, Greg Dunster, Anna Grishchenko, Ken Hamel, Tenecia Harris, Michael Klaczynski, Kelsea Laegreid, Justin Neste, Natalee Nusslock, Cody Nutsch, Stephanie Raghubeer, Jennifer Reitz, Elizabeth Suguira, Chaochung Tsai, and Pamela Williams. We appreciate the guidance we received from Helen Berry, Pete Dowty, Jeffrey Gaeckle, Thomas Mumford, Anja Schanz, Ron Thom, Sandy Wyllie-Echeverria, Laura Feinstein, and the insightful editorial comments provided by Janneke HilleRisLambers, and two anonymous reviewers. Thanks also to the following for access to private tidelands: Paul Blau (Blau Oyster Company), Doug Bulthuis (Padilla Bay National Estuarine Research Reserve), Betty Carteret, Bill Dewey (Taylor Shellfish Farms), Harry Eiesland, John and Brit Glomset, Mike MacKay (Lummi Tribe), and Eric Shen. This study was supported by funds from the Environmental Protection Agency Science to Achieve Results, Achievement Rewards for College Scientists fellowships, and National Science Foundation GK-12 Ocean and Coastal Interdisciplinary Science Program Fellowship (to S. Yang), Washington State Department of Natural Resources and Department of Ecology (to E. Wheat), and the Western Regional Aquaculture Center through grant no. 2004-38500-14698 from the United States Department of Agriculture, Cooperative State Research, Education, and Extension Service (to J. Ruesink).
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Appendix: Methods to Cull Correlated Metrics of Desiccation Stress and Sediment Conditions
Appendix: Methods to Cull Correlated Metrics of Desiccation Stress and Sediment Conditions
We explored the following metrics relevant to desiccation stress before settling on tidal amplitude and elevation: (1) tidal elevation, (2) estimated hours inundated in the previous year (2006) using tidal elevation and predicted water levels by hour (http://tbone.biol.sc.edu/tide/), (3) relative tidal amplitude (the difference between mean lower low water and mean higher high water on May 18, 2007), and (4) relative time of day at low tide during summer using tidal predictions (as a proxy for air temperature). Tidal elevation and inundation time were correlated (r(29) = −0.95, p < 0.0001), and tidal amplitude and time at low tide were correlated (r(32) = 0.34, p = 0.046).
We explored the following metrics of sediment conditions before settling on sediment organic content: (1) beach slope, in two categories: extensive broad shallows in embayments or pocket beaches (“flats”) versus narrow, sloping shorelines (“fringes”) (Berry et al. 2003), (2) silt to sand ratio, and (3) sediment organic matter. Categorical beach slope (r(29) = −0.53, p = 0.002) and silt to sand ratio (r(29) = 0.85, p < < 0.0001) were highly correlated with sediment organic matter. Sediment organic content is controlled by biological processes, including heterotrophic assimilation and autochthonous production, as well as physical processes. Thus, we used it to indicate relative differences in biologically relevant sediment conditions among our sites.
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Yang, S., Wheat, E.E., Horwith, M.J. et al. Relative Impacts of Natural Stressors on Life History Traits Underlying Resilience of Intertidal Eelgrass (Zostera marina L.). Estuaries and Coasts 36, 1006–1013 (2013). https://doi.org/10.1007/s12237-013-9609-0
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DOI: https://doi.org/10.1007/s12237-013-9609-0