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dc.creatorLabay, Ben J.en
dc.creatorCohen, Adam E.en
dc.creatorSissel, Blakeen
dc.creatorHendrickson, Dean A.en
dc.creatorMartin, F. Douglasen
dc.creatorSarkar, Sahotraen
dc.date.accessioned2013-05-06T16:36:27Zen
dc.date.available2013-05-06T16:36:27Zen
dc.date.issued2011-09-22en
dc.identifier.citationLabay B, Cohen AE, Sissel B, Hendrickson DA, Martin FD, et al. (2011) Assessing Historical Fish Community Composition Using Surveys, Historical Collection Data, and Species Distribution Models. PLoS ONE 6(9): e25145. doi:10.1371/journal.pone.0025145en
dc.identifier.urihttp://hdl.handle.net/2152/20097en
dc.description.abstractAccurate establishment of baseline conditions is critical to successful management and habitat restoration. We demonstrate the ability to robustly estimate historical fish community composition and assess the current status of the urbanized Barton Creek watershed in central Texas, U.S.A. Fish species were surveyed in 2008 and the resulting data compared to three sources of fish occurrence information: (i) historical records from a museum specimen database and literature searches; (ii) a nearly identical survey conducted 15 years earlier; and (iii) a modeled historical community constructed with species distribution models (SDMs). This holistic approach, and especially the application of SDMs, allowed us to discover that the fish community in Barton Creek was more diverse than the historical data and survey methods alone indicated. Sixteen native species with high modeled probability of occurrence within the watershed were not found in the 2008 survey, seven of these were not found in either survey or in any of the historical collection records. Our approach allowed us to more rigorously establish the true baseline for the pre-development fish fauna and then to more accurately assess trends and develop hypotheses regarding factors driving current fish community composition to better inform management decisions and future restoration efforts. Smaller, urbanized freshwater systems, like Barton Creek, typically have a relatively poor historical biodiversity inventory coupled with long histories of alteration, and thus there is a propensity for land managers and researchers to apply inaccurate baseline standards. Our methods provide a way around that limitation by using SDMs derived from larger and richer biodiversity databases of a broader geographic scope. Broadly applied, we propose that this technique has potential to overcome limitations of popular bioassessment metrics (e.g., IBI) to become a versatile and robust management tool for determining status of freshwater biotic communities.en
dc.description.sponsorshipThis work was funded by the Texas Parks and Wildlife Department's State Wildlife Grant "Data Standardization and Georeferencing of the Fishes of Texas Database (T-27-P)" (http://www.tpwd.state.tx.us). The Texas Natural Science Center, University of Texas at Austin (http://www.utexas.edu/tmm/) provided support through the use of the laboratory at the Texas Natural History Collection and the salary of Dean Hendrickson, Curator of Ichthyology at the Texas Natural History Collection. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.en
dc.language.isoengen
dc.publisherPublic Library of Scienceen
dc.rightsAttribution 3.0 United Statesen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/en
dc.subjectBiodiversityen
dc.subjectFreshwater fishen
dc.subjectGeological surveysen
dc.subjectHabitatsen
dc.subjectMarine fishen
dc.subjectProbability distributionen
dc.subjectRiversen
dc.subjectWatershedsen
dc.titleAssessing Historical Fish Community Composition Using Surveys, Historical Collection Data, and Species Distribution Modelsen
dc.typeArticleen
dc.description.departmentTexas Natural Science Centeren
dc.identifier.doi10.1371/journal.pone.0025145en


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Attribution 3.0 United States
Except where otherwise noted, this item's license is described as Attribution 3.0 United States