EARLY HEARING DETECTION AND INTERVENTION VIRTUAL CONFERENCE
MARCH 2-5, 2021
(Virtually the same conference, without elevators, airplane tickets, or hotel room keys)
6/06/2017 | 9:00 AM - 9:15 AM | GIS-BASED CLASSIFICATION OF RIVERS FOR STUDIES OF MACROSYSTEM ECOLOGY AND MANAGEMENT | 302B
GIS-BASED CLASSIFICATION OF RIVERS FOR STUDIES OF MACROSYSTEM ECOLOGY AND MANAGEMENT
The field of riverine macrosystem ecology remains broadly defined and understudied. Previous research has focused on a range of scales, with many possible approaches to identifying the physical variables essential for analyzing aquatic systems. Based on previous research, we have found that a small selection of variables related to hydrogeomorphic structure are adequate for characterizing rivers at the macrosystem scale. To extract and organize these variables, we developed a set of GIS-based tools, termed RESonate, which can automatically extract hydrogeomorphic variables from readily available geospatial datasets and modeling procedures. This approach can assess the character of large river networks quickly and at very low cost. While this methodology has been applied to multiple river systems, the procedure of validating the selection outcomes has not been properly analyzed, nor has it been used on geographically disparate systems. As such, we provide an example of river classification for closely analogous mountain steppe ecoregions in the United States and Mongolia. We outline the advantages of the tool in performing regional to watershed scale analysis, as well as additional methodologies that have been incorporated to support site selection and sampling strategies for aquatic ecologists.
- C14 Hydroecology
- C06 Large River Ecology
- S29 Macrosystem Ecology of Aquatic Systems
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Presenters/Authors
Nicholas Kotlinski
(), Kansas Biological Survey, University of Kansas, kotlinskikansas@gmail.com;
ASHA DISCLOSURE:
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James H. Thorp
(), University of Kansas/Kansas Biological Survey, thorp@ku.edu;
ASHA DISCLOSURE:
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