2022 Early Hearing Detection & Intervention Virtual Conference
March 13 - 15, 2022
5/23/2019 | 2:30 PM - 2:45 PM | INCORPORATING NETWORK CONNECTIVITY INTO STREAM CLASSIFICATION FRAMEWORKS | 151 G
INCORPORATING NETWORK CONNECTIVITY INTO STREAM CLASSIFICATION FRAMEWORKS
ABSTRACT: River classification frameworks are important tools for conserving aquatic resources; they simplify landscape complexity and inform management objectives across river networks. Despite their utility, most classification frameworks have not incorporated network relationships. In this study, we take a novel approach to stream classification by developing a 2-level classification framework for South Carolina rivers and streams. The level-1 classification will use spatially constrained clustering techniques to classify river valley segments according to geomorphic and regional climatic characteristics. A level 2 classification will add network connectivity parameters to the aforementioned approach (e.g. D-link, confluence symmetry ratio, etc.). Each classification will be validated and tested using data from the South Carolina Department of Natural Resources Stream Assessment (SCSA) and Small River Assessment (SRA) datasets, containing over 500 sites and 101 fish species. We expect our results to highlight the importance of incorporating network topology into a stream classification, and to provide an adaptive tool for the management of riverine ecosystems.
- Connectivity
- Network
- Biodiversity
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Presenters/Authors
Colby Denison
(), Clemson University, cdeniso@g.clemson.edu;
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Mark C. Scott
(), South Carolina Department of Natural Resources, scottm@dnr.sc.gov;
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Brandon K. Peoples
(), Clemson University, peoples@clemson.edu;
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