Articles | Volume 23, issue 5
https://doi.org/10.5194/hess-23-2305-2019
https://doi.org/10.5194/hess-23-2305-2019
Research article
 | 
14 May 2019
Research article |  | 14 May 2019

Integrating network topology metrics into studies of catchment-level effects on river characteristics

Eleanore L. Heasley, Nicholas J. Clifford, and James D. A. Millington

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Cited articles

Belletti, B., Rinaldi, M., Buijse, A. D., Gurnell, A. M., and Mosselman, E.: A review of assessment methods for river hydromorphology, Environ. Earth Sci., 73, 2079–2100, https://doi.org/10.1007/s12665-014-3558-1, 2015. 
Benda, L., Andras, K., Miller, D., and Bigelow, P.: Confluence effects in rivers: Interactions of basin scale, network geometry, and disturbance regimes, Water Resour. Res., 40, 1–15, https://doi.org/10.1029/2003WR002583, 2004a. 
Benda, L., Poff, N. L., Miller, D., Dunne, T., Reeves, G., Pess, G., and Pollock, M.: The network dynamics hypothesis: how channel networks structure riverine habitats, Bioscience, 54, 413–427, https://doi.org/10.1641/0006-3568(2004)054[0413:TNDHHC]2.0.CO;2, 2004b. 
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Short summary
River network structure is an overlooked feature of catchments. We demonstrate that network structure impacts broad spatial patterns of river characteristics in catchments using regulatory data. River habitat quality increased with network density, but other characteristics responded differently between study catchments. Network density was quantified using a method that can easily be applied to any catchment. We suggest that river network structure should be included in catchment-level studies.