Using a Bayesian network to understand the importance of coastal storms and undeveloped landscapes for the creation and maintenance of early successional habitat

dc.contributor.author Zeigler, Sara L.
dc.contributor.author Gutierrez, Benjamin T.
dc.contributor.author Sturdivant, Emily
dc.contributor.author Catlin, Daniel H.
dc.contributor.author Fraser, James D.
dc.contributor.author Hecht, Anne
dc.contributor.author Karpanty, Sarah M.
dc.contributor.author Plant, Nathaniel G.
dc.contributor.author Thieler, E. Robert
dc.date.accessioned 2019-12-06T20:53:16Z
dc.date.available 2019-12-06T20:53:16Z
dc.date.issued 2019-07-25
dc.description © The Author(s), 2019. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Zeigler, S. L., Gutierrez, B. T., Sturdivant, E. J., Catlin, D. H., Fraser, J. D., Hecht, A., Karpanty, S. M., Plant, N. G., & Thieler, E. R. Using a Bayesian network to understand the importance of coastal storms and undeveloped landscapes for the creation and maintenance of early successional habitat. Plos One, 14(7), (2019): e0209986, doi:10.1371/journal.pone.0209986. en_US
dc.description.abstract Coastal storms have consequences for human lives and infrastructure but also create important early successional habitats for myriad species. For example, storm-induced overwash creates nesting habitat for shorebirds like piping plovers (Charadrius melodus). We examined how piping plover habitat extent and location changed on barrier islands in New York, New Jersey, and Virginia after Hurricane Sandy made landfall following the 2012 breeding season. We modeled nesting habitat using a nest presence/absence dataset that included characterizations of coastal morphology and vegetation. Using a Bayesian network, we predicted nesting habitat for each study site for the years 2010/2011, 2012, and 2014/2015 based on remotely sensed spatial datasets (e.g., lidar, orthophotos). We found that Hurricane Sandy increased piping plover habitat by 9 to 300% at 4 of 5 study sites but that one site saw a decrease in habitat by 27%. The amount, location, and longevity of new habitat appeared to be influenced by the level of human development at each site. At three of the five sites, the amount of habitat created and the time new habitat persisted were inversely related to the amount of development. Furthermore, the proportion of new habitat created in high-quality overwash was inversely related to the level of development on study areas, from 17% of all new habitat in overwash at one of the most densely developed sites to 80% of all new habitat at an undeveloped site. We also show that piping plovers exploited new habitat after the storm, with 14–57% of all nests located in newly created habitat in the 2013 breeding season. Our results quantify the importance of storms in creating and maintaining coastal habitats for beach-nesting species like piping plovers, and these results suggest a negative correlation between human development and beneficial ecological impacts of these natural disturbances. en_US
dc.description.sponsorship Funding for this work was provided through a U.S. Geological Survey Mendenhall Post-Doctoral Fellowship awarded to S. Zeigler, with funding for this fellowship made through a grant to E.R. Thieler from the North Atlantic Landscape Conservation Cooperative. Funders did not play a role in study design, data collection or analysis, decision to publish, or preparation of the manuscript. en_US
dc.identifier.citation Zeigler, S. L., Gutierrez, B. T., Sturdivant, E. J., Catlin, D. H., Fraser, J. D., Hecht, A., Karpanty, S. M., Plant, N. G., & Thieler, E. R. (2019). Using a Bayesian network to understand the importance of coastal storms and undeveloped landscapes for the creation and maintenance of early successional habitat. Plos One, 14(7), e0209986. en_US
dc.identifier.doi 10.1371/journal.pone.0209986
dc.identifier.uri https://hdl.handle.net/1912/24960
dc.publisher Public Library of Science en_US
dc.relation https://doi.org/10.1371/journal.pone.0209986
dc.relation.uri https://doi.org/10.1371/journal.pone.0209986
dc.rights Attribution 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by/4.0/ *
dc.title Using a Bayesian network to understand the importance of coastal storms and undeveloped landscapes for the creation and maintenance of early successional habitat en_US
dc.type Article en_US
dspace.entity.type Publication
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