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dc.contributor.authorCollins, Evan Robert
dc.date.accessioned2016-09-20T04:30:11Z
dc.date.available2016-09-20T04:30:11Z
dc.date.issued2016-05
dc.identifier.othercollins_evan_r_201605_ms
dc.identifier.urihttp://purl.galileo.usg.edu/uga_etd/collins_evan_r_201605_ms
dc.identifier.urihttp://hdl.handle.net/10724/36028
dc.description.abstractFragmentation of hydrologic connectivity is one of many threats to aquatic biodiversity. Increasingly, culverts installed at road-stream crossings have been identified as a significant contributor in fragmentation. Culverts present an interesting challenge for researchers and those seeking to restore connectivity in that they are often not complete barriers to fish passage and are numerous on the landscape. The purposes of this study are to approach these problems with the use of spatial analysis and predictive modelling. This study utilizes random forest modelling and identifies a suite of environmental gradients that relate to impassable culverts. The necessity of rigorous classification of field data to be used to train models is highlighted. Predictions from the random forest models are used to explicitly state the cumulative effect of culverts on overall connectivity for the first time. Finally, this study guides managers by recommending that restoration activities focus on smaller, species-specific scales.
dc.languageeng
dc.publisheruga
dc.rightsOn Campus Only Until 2018-05-01
dc.subjectHydrologic connectivity
dc.subjectFish passage
dc.subjectCulvert passability
dc.subjectRandom forest
dc.subjectRoad-crossings
dc.titleEvaluating connectivity in three watersheds in the southeastern United States
dc.typeThesis
dc.description.degreeMS
dc.description.departmentDaniel B. Warnell School of Forestry and Natural Resources
dc.description.majorForest Resources
dc.description.advisorNathan Nibbelink
dc.description.committeeNathan Nibbelink
dc.description.committeeC. Rhett Jackson
dc.description.committeeMary Freeman
dc.description.committeeDuncan Elkins


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