RivEX Manual

Below are a list of books and papers which are relevant to RivEX.  They cover a wide range of topics and demonstrate the many uses channel metrics have in ecology, geomorphology and hydrology.  Expect this section to increase over time as papers are included.

•Abrahams, A.D. (1984). Channel Networks: A geomorphological Perspective. Water Resources Research, 20(2), 161 - 168.

•Balkhanov, V. K. and Bashkuev Yu. V. (2004). Fractal dimension of the channel network structure of Selenga river delta. Water Conservation, 31(2), 148 - 151.

•Belletti, B., Garcia de Leaniz, C., Jones, J. et al.  (2020). More than one million barriers fragment Europe’s rivers. Nature 588, 436–441.

•Brenden, T. O., Wang, L., Seelbach, P. W., Clark Jr, R. D., Wiley, M. J. and Sparks-Jackson, B. L. (2008). A spatially constrained clustering program for river valley segment delineation from GIS digital river networks. Environmental Modelling & Software, 23, 638 - 649.  

•Nicolas Cadieux, Margaret Kalacska, Oliver T. Coomes, Mari Tanaka and Yoshito Takasaki. (2020). A Python Algorithm for Shortest-Path River Network Distance Calculations Considering River Flow Direction. Data 2020, 5(1).

•Carling, P., Jansen, J and Meshkova, L. (2014) Multichannel rivers: their definition and classification. Earth Surf. Process. Landforms, 39, 26-37.

•Chen, X., Wei, X., Scherer, R., Luider, C. and Darlington, W. (2006). A watershed scale assessment of in-stream large woody debris patterns in the southern interior of British Columbia. Forest Ecology and Management, 229, 50–62.

•Cote, D., Kehler, D. G., Bourne, C. and Wiersma, Y. F. (2009). A new measure of longitudinal connectivity for stream networks. Landscape Ecol, 24, 101-113.

•Cumming, G. S. (2004). The impact of low-head dams on fish species richness in Wisconsin, USA. Ecological Applications, 14(5), 1495–1506.

•Dawson, F. H. , Hornby,  D. D. and Hilton, J. (2002). A method for the automated extraction of environmental variables to help the classification of rivers in Britain. Aquatic Conservation: Marine and Freshwater Ecosystems, 12(4), 391 - 403.

•Dixon, W. , Smyth, G. K. and Chiswell, B. (1999). Optimized selection of river sampling sites. Water Research, 33(4), 971 -978.

•Dunn, W. C., Milne, B. T, Mantilla, R. and Gupta, V. K. (2011). Scaling relations between riparian vegetation and stream order in the Whitewater River network, Kansas, USA. Landscape Ecol, 26, 983-997.

•FitzHugh, T. W. (2005). GIS Tools for Freshwater Biodiversity Conservation Planning. Transactions in GIS, 9(2), 247–263.

•Fürst, J. and Hörhan, T. (2008). Coding of watershed and river hierarchy to support GIS-based hydrological analyses at different scales. Computers and Geosciences, in press.

•Gan, K.C. , McMahon, T. A. and Finlayson, B. L. (1992). Fractal dimensions and lengths of rivers in south-east Australia. Cartographic Journal, 29(1), 31 - 34.

•Gleyzer, A. , Denisyuk,  M. ,Rimmer, A. and Salingar, Y. (2004). A Fast Recursive GIS Algorithm for Computing Strahler Stream Order in Braided and Nonbraided Networks. Journal of the American Water Resources Association, 40(4), 937 - 946.  

•Gregory, K. J. and Walling, D. E. (1973). Drainage basin form and process. New York, John Wiley and Sons, 456 p.

•Hansen, W. F. (2001). Identifying stream types and management implications. Forest Ecology and Management, 143, 39 - 46.

•Herlihy, A T., Larsen, D. P., Paulsen, S. G., Urquhart N. S. and Rosenbaum, B. J. (2000). Designing a spatially balanced, randomized site selection process for regional stream surveys: the EMAP mid-Atlantic pilot study. Environmental Monitoring and Assessment, 63, 95  - 113.

•Jasiewicz, J and Metz M. (2011). A new GRASS GIS toolkit for Hortonian analysis of drainage networks. Computers & GeoSciences, 37, 1162 - 1173.

•Joshua Jones, Luca Börger, Jeroen Tummers, Peter Jones, Martyn Lucas, Jim Kerr, Paul Kemp, Simone Bizzi, Sofia Consuegra, Lucio Marcello, Andrew Vowles, Barbara Belletti, Eric Verspoor, Wouter Van de Bund, Peter Gough and CarlosGarcia de Leaniza (2019). A comprehensive assessment of stream fragmentation in Great Britain. Science of The Total Environment, 673, 756-762.

•Ichoku, C. and Chorowicz, J. (1994). A numerical approach to the analysis and classification of channel network patterns. Water Resources Research, 30(2), 161 - 174.

•Lanfear, K. J. (1990). A fast algorithm for automatically computing Strahler stream order. Water Resources Bulletin, 26(6), 977 - 981.

•Laura L. de Sosa, Helen C. Glanville, Miles R. Marshall, Sinan A. Abood, A. Prysor Williams  and Davey L. Jones (2018). Delineating and mapping riparian areas for ecosystem service assessment. Ecohydrology, 11(2), 1-16.

•Lewin, J. (1970). A note on stream ordering. Area, 2, 32 - 35.

•Lindsay, J. B., Rothwell, J. J. and Davies, H. (2008). Mapping outlet points used for watershed delineation onto DEM-Derived stream networks. Water Resources Research, 44, W08442.

•Lindsay, J. B.,Yang, W. and Hornby, D. D. (2019). Drainage Network Analysis and Structuring of Topologically Noisy Vector Stream Data. ISPRS Int. J. Geo-Inf. 8, 422.

•Kris Van Looy, Thierry Tormos and Yves Souchon (2014). Disentangling dam impacts in river networks. Ecological Indicators, 37, 10-20.

•Makaske, B. (2001). Anastomosing rivers: a review of their classification, origin and sedimentary products. Earth-Science Reviews, 53, 149 - 196.

•Mark, D. M. (1988). Network models in geomorphology. In Modelling Geomorphological Systems, John Wiley & Sons, 73 - 97.

•Miller, S. N., Guertin, D. P. and Goodrich, D. C. (1996). Linking GIS and geomorphologic field research at Walnut Gulch experimental watershed. American Water Resources Association.

•Regnauld, N. and Mackaness, W. A. (2006). Creating a hydrographic network from its cartographic representation: a case study using Ordnance Survey MasterMap data. International Journal of Geographical Information Science, Volume 20, Issue 6 July 2006 , pages 611 - 631.  

•Rosgen, D. L. (1994). A classification of natural rivers. Catena, 22, 169 - 199.

•Jon Schwenk, Anastasia Piliouras, and Joel C. Rowland (2020). Determining flow directions in river channel networks using planform morphology and topology. Earth Surf. Dynam., 8, 87–102.

•Serres, B. de and Roy, A. G. (1990). Flow direction and branching geometry at junctions in dendritic river networks. Professional Geographer, 42(2), 194 - 201.

•Shreve, R. L. (1967). Infinite topologically random channel networks. J. Geol. , 75, 397 – 414.

•Strahler, A. N. (1952). Dynamic basis of geomorphology. Geological Society of America Bulletin, 63, 923 - 938.

•Tarboton, D. G. , Bras, R. L. and Rodriguez-Iturbe, I. (1988). The fractal nature of river networks. Water Resources Research, 24(8), 1317 - 1322.

•Martin Thoms,  Murray Scown  and Joseph Flotemersch (2018). Characterization of River Networks: A GIS Approach and Its Applications. Journal of the American Water Resources Association, 54(4), 899-913.

•Tsang, Y., Wieferich, D., Fung, K. et al. (2014). An approach for aggregating upstream catchment information to support research and management of fluvial systems across large landscapes. SpringerPlus 3, 589.