Influence of data sources and processing methods on theoretical river network quality

Limnetica

Volumn 30, Issue 2, 2011, Pages 197-216

  Peñas, Francisco J ^a   Fernández, Felipe ^a   Calvo, Milena ^a   Barquín, José ^a   Pedraz, Luis ^a  

^a ENVIRONMENTAL HYDRAULICS INSTITUTE IH CANTABRIA   (Spain)

Author keywords

Digital Elevation Models; Extraction algorithm; Fluvial ecosystems; Spatial hierarchy; Theoretical River Networks

Indexed keywords

ALGORITHM; CATCHMENT; DATA PROCESSING; DIGITAL ELEVATION MODEL; ECOSYSTEM MANAGEMENT; GIS; HABITAT CONSERVATION; RESOURCE MANAGEMENT; RIVER; SOFTWARE; SPATIAL ANALYSIS; SPATIAL RESOLUTION; TERRAIN; THEORETICAL STUDY; WATER QUALITY; WATER RESOURCE;

EID: 84866380262     PISSN: 02138409     EISSN: 19891806     Source Type: Journal    
DOI: None     Document Type: Article

References (68)

1. ALLAN, J. D. 2004. Landscapes and riverscapes: The influence of land use on stream ecosystems. Annual Review of Ecology Evolution and Systematics, 35: 257-284.
2. BENDA, L. & T. DUNNE. 1997. Stochastic forcing of sediment supply to channel networks from landsliding and debris flow. Water Resources Research, 33(12): 2849-2863.
3. BENDA, L., D. MILLER, K. ANDRAS, P. BIGELOW, G. REEVES & D. MICHAEL. 2007. NetMap: A New Tool in Support ofWatershed Science and Resource Management. Forest Science, 53(2): 206-219.
4. BENDA, L., N. L. POFF, D. MILLER, T. DUNNE, G. REEVES, G. PESS & M. POLLOCK. 2004. The Network Dynamics Hypothesis: How Channel Networks Structure Riverine Habitats. Bioscience, 54(5): 413-427.
5. BUFFAGNI, A., G. A. CROSA, D. M. HARPER & J. L. KEMP. 2000. Using macroinvertebrate species assemblages to identify river channel habitat units: an application of the functional habitats concept to a large, unpolluted Italian river (River Ticino, northern Italy). Hydrobiologia, 435(1-3): 213-225.
6. BURNETT, K., G. H. REEVES, D. MILLER, S. CLARKE, K. CHRISTIANSEN & K. VANCEBORLAND. 2003. A first step toward broad-scale identification of freshwater protected areas for Pacific salmon and trout in Oregon, U.S.A. In:Aquatic protected areas: What works best and how de we know? Proceedings of the World Congress on Aquatic Protected Areas . J. P. Beumer,A.Grant & D. C. Smith (eds.): 144-154. Australian Society for fish Biology, North Beach, WA, Australia.
7. BURNETT, K. M., G. H. REEVES, D. J.MILLER, S. CLARKE, K. VANCE-BORLAND & K. CHRISTIANSEN. 2007. Distribution of salmon-habitat potential relative to landscape characteristics and implications for conservation. Ecological Applications, 17(1): 66-80.
8. BURROUGH, P. A. & R. MCDONELL. 1998. Principles of Geographical Information Systems., Oxford, University Press. 352 pp.
9. CLARKE, S. & K. BURNETT. 2003. Comparison of digital elevation models for aquatic data development. Photogrammetric Engineering and Remote Sensing, 69(12): 1367-1375.
10. CLARKE, S. E., K. M. BURNETT & D. J. MILLER. 2008. Modeling Streams and Hydrogeomorphic Attributes in Oregon From Digital and Field Data. Journal of the American Water Resources Association, 44(2): 459-477.
11. COLOMBO,R.,R. V. VOGT, P. SOILLE, M. L. PARACCHINI & A. DE JAGER. 2007. Deriving river networks and catchments at the European scale from medium resolution digital elevation data. Catena, 70(3): 296-305.
12. DA PAZ, A. R.,W. COLLISCHONN, A. RISS & C. A. B. MENDES. 2008. Errors in river lengths derived from raster digital elevationmodels. Computers & Geosciences, 34(11): 1584-1596.
13. DAVIES, J. R., K. M. LAGUEUX, B. SANDERSON & T. J. BEECHIE. 2007. Modeling stream channel characteristics from drainage-enforced DEMs in Puget Sound, Washington, USA. Journal of the American Water Resources Association, 43(2): 414-426.
14. DEATH, R. G. & M. K. JOY. 2004. Invertebrate community structure in streams of the Manawatu- Wanganui region, New Zealand: the roles of catchment versus reach scale influences. Freshwater Biology, 49: 982-997.
15. EEDY, R. I. & D. J. GIBERSON. 2007. Macroinvertebrate distribution in a reach of a north temperate eastern Canadian river: Relative importance of detritus, substrate and flow. Fundamental and Applied Limnology, 169(2): 101-114.
16. ESRI. 2009. ArcGIS 9.3.1 Spatial Analyst. Redlands, CA, USA.
17. FLORES, A. N., B. P. BLEDSOE, C. O. CUHACIYAN & E. E. WOHL. 2006. Channel-reach morphology dependence on energy, scale, and hydroclimatic processes with implications for prediction using geospatial data. Water Resources Research, 42(6): 1-15.
18. FOX, P. J. A.,M. NAURA & P. SCARLETT. 1998. An account of the derivation and testing of a standard field method, River Habitat Survey. Aquatic Conservation: Marine and Freshwater Ecosystems, 8: 455-475.
19. FRANKLIN, P., M. DUNBAR & P. WHITEHEAD. 2008. Flow controls on lowland river macrophytes: A review. Science of The Total Environment, 400(1-3): 369-378.
20. FRISSELL, C. A.,W. J. LISS, C. E. WARREN & M. D. HURLEY. 1986. A Hierarchical Framework for Stream Habitat Classification - Viewing Streams in aWatershed Context. EnvironmentalManagement, 10(2): 199-214.
21. GARBRECHT, J. & L. W. MARTZ. 1997. The assignment of drainage direction over flat surfaces in raster digital elevation models. Journal of Hydrology, 193(1-4): 204-213.
22. GOBIERNO DE CANTABRIA. 2005. Estudio de los Recursos Hídricos de los Ríos de la Vertiente Norte de Cantabria. Consejería deMedio Ambiente, Gobierno de Cantabria, Santander Spain. 214 pp.
23. HORN, B. P. K. 1981. Hill shading and reflectance map. Proceedings of IEEE, 69(1): 14-47
24. JANA, R., T. V. RESHMIDEVI, P. S. ARUN & T. I. ELDHO. 2007. An enhanced technique in construction of the discrete drainage network from low-resolution spatial database. Computers& Geoscience, 33(6): 717-727.
25. JENK, G. F. 1967. The Data Model Concept in Statistical Mapping. International Yearbook of Cartography, 7: 186-190.
26. JENSON, S. K. & J. O. DOMINGUE. 1988. Extracting Topographic Structure from Digital Elevation Data for Geographic Information-System Analysis. Photogrammetric Engineering and Remote Sensing, 54(11): 1593-1600.
27. JONES, K. H. 1998. A comparison of algorithms used to compute hill slope as a property of the DEM. Computers & Geosciences, 24(4): 315-323.
28. KIENZLE, S. 2004. The Effect of DEM Raster Resolution on First Order, Second Order and Compound Terrain Derivatives. Transactions in GIS, 8: 83-111.
29. LAMOROUX, N., H. CAPRA &M. POUILLY. 1998. Predicting Habitat suitability for lotic fish: Linking statistical hydraulic models with multivariate habitat use models. Regulated River: Research & Management, 14(1): 1-11.
30. LEOPOLD, L. B.,M. G.WOLMAN & J. P.MILLER. 1964. Fluvial process in Geomorphology. Freeman, W. H. & Company. San Francisco. 552 pp.
31. LI, J. & D.W. S.WONG. 2010. Effects of DEM sources on hydrologic applications. Computers, Environment and Urban Systems, 34: 251-261.
32. LIN, W. T.,W. C. CHOU, C. Y. LIN, P. H. HUANG & J. S. TSAI. 2006. Automated suitable drainage network extraction from digital elevation models in Taiwan's upstream watersheds. Hydrological Processes, 20: 389-206.
33. LUNETTA, R. S., B. L. COSENTINO, D. R. MONTGOMERY, E. M. BEAMER & T. J. BEECHIE. 1997. GIS-based evaluation of salmon habitat in the Pacific Northwest. Photogrammetric Engineering and Remote Sensing, 63(10): 1219-1229.
34. MAIDMENT, D. 2002. ArcHydro. GIS for Water Resources, ESRI Press. Redlands, California.
35. MARTINEZ-CAPEL, F. & D. GARCIA DE JALÓN. 1999. Desarrollo de curvas de preferencia de microh ́abitat para Leuciscus pyrenaicus y Barbus bocagei por buceo en el río Jarama (cuenca del Tajo). Limnetica, 17: 71-83.
36. MARTZ, L. W. & J. GARBRECHT. 1998. The treatment of flat areas and depressions in automated drainage analysis of raster digital elevation models. Hydrological Processes, 12(6): 843-855.
37. MCMASTER, K. J. 2002. Effects of digital elevation model resolution on derived stream network positions. Water Resources Research, 38(4): 1-8.
38. MILLER, D. 2003. Programs for DEM Analysis. Earth System Institute. Seattle, WA. 38 pp.
39. MILLER, D. J. & K. M. BURNETT. 2008. A probabilistic model of debris-flow delivery to stream channels, demonstrated for the Coast Range of Oregon, USA. Geomorphology, 94(1-2): 184-205.
40. MONTGOMERY, D. R. & J. M. BUFFINGTON. 1993. Channel classification, prediction of channel response, and assessment of channel condition. Report TFW-H10-93-002. Washington State Department of Natural Resources, Olymplia. 84 pp.
41. MONTGOMERY, D. R. & J. M. BUFFINGTON. 1997. Channel-reach morphology in mountain drainage basins. Geological Society of America Bulletin, 109(5): 596-611.
42. MONTGOMERY, D. R. & J. M. BUFFINGTON. 1998. Channel processes, classifiaction and response. In:River Ecology and Management . R. J. Naiman, R. E. Bilby & S. Kantor (eds.): 13-42. Springer-Verlag, New York, USA.
43. MONTGOMERY, D. R., G. E. GRANT & K. SULLIVAN. 1995. Watershed Analysis as a Framework for Implementing Ecosystem Management. Water Resources Bulletin, 31(3): 369-386.
44. NAURA, M. & M. ROBINSON. 1998. Principles of using River Habitat Survey to predict the distribution of aquatic species: an example applied to the native white-clawed crayfish Austropotamobius pallipes. Aquatic Conservation: Marine and Freshwater Ecosystems, 8: 515-527.
45. NELSON, A., H. I. REUTER & P. GESSLER. 2009. DEM production methods and sources. In:Geomorphometry: concepts, software, applications. T. Hengl & H. I. Reuter (eds.): 65-86. Developements in Soil Science, Vol. 33. Elsevier, Amsterdam.
46. PARASIEWICZ, P. 2008. Applications of MESOHABSIM using fish community targets. River Research and Applications, 24: 434-438.
47. R DEVELOPMENT CORE TEAM. 2008. R: A languaje and environment for statistical computing., R Foundation for Statistical Computing. Viena, Austria. 2630 pp.
48. RAVEN,P.J.,P. FOX, M. EVERARD, N. T. H. HOLMES & F. H. DAWSON. 1997. River Habitat Survey: a new system for classifying rivers according to their habitat quality. In:Freshwater quality: Defining the indefinable? P. J. Boon & D. L. Howell (eds.): 215-234. The Stationery Office, Edinburgh.
49. RIVAS-MART́INEZ, S., A. PENAS & T. E. D́IAZ. 2004. Bioclimatic Map of Europe, Bioclimates. In: Cartographic Service. University of Léon, Léon, Spain.
50. ROSGEN, D. L. 1994. A Classification of Natural Rivers. Catena, 22(3): 169-199.
51. SPSSINC. 2009. SPSS statistics Version 18.0.0.
52. STATSOFT INC. 1994. Statistica for the Windows operating system. StatSoft, Inc., Tulsa, USA.
53. STRAGER,M. P., J. T. PETTY, J. M. STRAGER & J. BARKER-FULTON. 2009. A spatially explicit framework for quantifying downstream hydrologic conditions. Journal of Environmental Management, 90(5): 1854-1861.
54. STRAHLER, A. N. 1957. Quantitative analysis of watershed geomorphology. Transactions of the American Geophysicists Union, 38: 913-920.
55. STRAYER, D. L., R. E. BEIGHLEY, L. C. THOMPSON, S. BROOKS, C. NILSSON, G. PINAY & R. J. NAIMAN. 2003. Effects of land cover on stream ecosystems: Roles of empirical models and scaling issues. Ecosystems, 6(5): 407-423.
56. TARBOTON, D. G. 1997. A New Method for the Determination of Flow Directions and Upslope Areas in Grid Digital Elevation Models. Water Resour. Res., 33(2): 309-319.
57. TARBOTON, D. G., R. L. BRAS & I. RODRIGUEZITURBE. 1991. On the Extraction of Channel Networks from Digital Elevation Data. Hydrological Processes, 5(1): 81-100.
58. TAROLLI, P., R. J. ARROWSMITH & E. R. VIVONI. 2009. Understanding earth surface processes from remotely sensed digital terrain models. Geomorphology, 113(1-2): 1-3.
59. USACE. 2000. HEC-HMS hydrologic modelling system user's manual. Hydrologic Engineering Centre, Davis, USA. 178 pp.
60. VANCE-BORLAND, K., K. BURNETT & S. CLARKE. 2009. Influence of mapping resolution on assessments of stream and streamside conditions: lessons from coastal Oregon, USA. Aquatic Conservation-Marine and Freshwater Ecosystems, 19(3): 252-263.
61. VAUGHAN, I. P.,M. DIAMOND, A. M. GURNELL, K. A. HALL, A. JENKINS, N. J. MILNER, L. A. NAYLOR, D. A. SEAR, G. WOODWARD & S. J. ORMEROD. 2009. Integrating ecology with hydromorphology: a priority for river science and management. Aquatic Conservation: Marine and Freshwater Ecosystems, 19(1): 113-125.
62. VOGT, J. V., R. COLOMBO & F. BERTOLO. 2003. Deriving drainage networks and catchment boundaries: a new methodology combining digital elevation data and environmental characteristics. Geomorphology, 53(3-4): 281-298.
63. WANG, X. & Z.-Y. YIN. 1998. A comparison of drainage networks derived from digital elevation models at two scales. Journal of Hydrology, 210(1- 4): 221-241.
64. WOHL, E. & D.MERRITT. 2005. Prediction ofmountain stream morphology. Water Resources Research, 41, W08419: 1-10.
65. WU, S., J. LI & G. H. HUANG. 2008. A study on DEM-derived primary topographic attributes for hydrologic applications: Sensitivity to elevation data resolution. Applied Geography, 28(3): 210-223.
66. ZHANG, X. Y., N. A. DRAKE, J. WAINWRIGHT & M. MULLIGAN. 1999. Comparison of slope estimates from low resolution DEMs: Scaling issues and a fractal method for their solution. Earth Surface Processes and Landforms, 24(9): 763-779.
67. ZHOU, Q. & X. LIU. 2004. Analysis of errors of derived slope and aspect related to DEM data properties. Computers & Geosciences, 30(4): 369-378.
68. ZHU, Q., Y. TIAN & J. ZHAO. 2006. An efficient depression processing algorithm for hydrologic analysis. Computers & Geosciences, 32(5): 615-623.