Mapping the temporary and perennial character of whole river networks

Water Resources Research

Volumn 53, Issue 8, 2017, Pages 6709-6724

  Gonzalez Ferreras A M ^a   Barquin J ^a  

^a ENVIRONMENTAL HYDRAULICS INSTITUTE IH CANTABRIA   (Spain)

Author keywords

basin management; Cantabrian cordillera; flow intermittency; Random Forest; river network

Indexed keywords

BIODIVERSITY; CATCHMENTS; CONSERVATION; DECISION TREES; MAPPING; RUNOFF; STATISTICAL TESTS; SURVEYS;

BASIN MANAGEMENT; CANTABRIAN CORDILLERA; INTERMITTENCY; RANDOM FORESTS; RIVER NETWORK;

RIVERS;

AERIAL PHOTOGRAPH; BASIN MANAGEMENT; BIODIVERSITY; CATCHMENT; CLASSIFICATION; DATA SET; IMAGE ANALYSIS; MAPPING; RANDOM WALK METHOD; RIVER CHANNEL; RIVER FLOW; RIVER SYSTEM; SPATIAL DISTRIBUTION;

CANTABRIAN MOUNTAINS; SPAIN;

EID: 85029679799     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1002/2017WR020390     Document Type: Article

References (74)

1. Acuña, V., T. Datry, J. Marshall, D. Barceló, C. N. Dahm, A. Ginebreda, G. McGregor, S. Sabater, K. Tockner, and M. A. Palmer (2014), Why should we care about temporary waterways?, Science, 343(6175), 1080–1081, doi:10.1126/science.1246666.
2. Adrados, L., et al. (2012), Parque Nacional de los Picos de Europa. Guía Geológica (Picos de Europa National Park. Geological guide), 2nd ed., Adrados Ediciones, Oviedo, Spain.
3. Ali, A., S. M. Shamsuddin, and A. L. Ralescu (2015), Classification with class imbalance problem: A review, Int. J. Adv. Soft Comput. Appl., 7(3), 176–204.
4. Álvarez-Cabria, M., J. Barquín, and F. J. Peñas (2016), Modelling the spatial and seasonal variability of water quality for entire river networks: Relationships with natural and anthropogenic factors, Sci. Total Environ., 545–546, 152–162, doi:10.1016/j.scitotenv.2015.12.109.
5. Álvarez-Cabria, M., A. M. González-Ferreras, F. J. Peñas, and J. Barquín (2017), Modelling macroinvertebrate and fish biotic indices: From reaches to entire river networks, Sci. Total Environ., 577, 308–318, doi:10.1016/j.scitotenv.2016.10.186.
6. Arthington, A. H., J. M. Bernardo, and M. Ilheu (2014), Temporary rivers: Linking ecohydrology, ecological quality and reconciliation ecology, River Res. Appl., 30(10), 1209–1215, doi:10.1002/rra.2831.
7. Ballesteros, D., M. Jiménez-Sánchez, J. García-Sansegundo, and S. Giralt (2011), Geological methods applied to speleogenetical research in vertical caves: The example of Torca Teyera shaft (Picos de Europa, northern Spain), Carbonates Evaporites, 26(1), 29–40, doi:10.1007/s13146-011-0052-7.
8. Ballesteros, D., M. Jiménez-Sánchez, M. J. Domínguez-Cuesta, J. García-Sansegundo, and M. Meléndez-Asensio (2015), Geoheritage and geodiversity evaluation of Endokarst landscapes: The Picos de Europa National Park, North Spain, in Hydrogeological and Environmental Investigations in Karst Systems, edited by B. Andreo et al., pp. 619–627, Springer, Berlin Heidelberg.
9. Barquin, J., et al. (2015), Coupling virtual watersheds with ecosystem services assessment: A 21st century platform to support river research and management, WIREs Water, 2(6), 609–621, doi:10.1002/wat2.1106.
10. Belmar, O., J. Barquín, J. M. Álvarez-Martínez, F. J. Peñas, and M. Del Jesus (2016), The role of forest maturity on catchment hydrologic stability, Hydrol. Earth Syst. Sci. Discuss., 2016, 1–17, doi:10.5194/hess-2016-471.
11. Benda, L., D. Miller, and J. Barquín (2011), Creating a catchment scale perspective for river restoration, Hydrol. Earth Syst. Sci., 15(9), 2995–3015, doi:10.5194/hess-15-2995-2011.
12. Benda, L., D. Miller, J. Barquín, R. McCleary, T. Cai, and Y. Ji (2015), Building virtual watersheds: A global opportunity to strengthen resource management and conservation, Environ. Manage., 57(3), 722–739, doi:10.1007/s00267-015-0634-6.
13. Blöschl, G. (2006), Statistical upscaling and downscaling in hydrology, in Encyclopedia of Hydrological Sciences, edited by M. G. Anderson, pp. 135–154, John Wiley, Chichester, U. K.
14. Booker, D. J., and T. H. Snelder (2012), Comparing methods for estimating flow duration curves at ungauged sites, J. Hydrol., 434–435, 78–94, doi:10.1016/j.jhydrol.2012.02.031.
15. Boulesteix, A.-L., S. Janitza, J. Kruppa, and I. R. König (2012), Overview of random forest methodology and practical guidance with emphasis on computational biology and bioinformatics, WIREs Data Mining Knowl. Discov., 2(6), 493–507, doi:10.1002/widm.1072.
16. Breiman, L. (2001), Random Forests, Mach. Learn., 45(1), 5–32, doi:10.1023/a:1010933404324.
17. Breiman, L., J. Friedman, R. A. Olshen, and C. J. Stone (1984), Classification and Regression Trees, Wadsworth Int. Group, Belmont, Calif.
18. Chen, C., A. Liaw, and L. Breiman (2004), Using random forest to learn imbalanced data, Univ. of Calif., Berkeley.
19. Collett, D. (2002), Modelling Binary Data, 2nd ed., Taylor and Francis, Boca Raton, Fla.
20. Cui, X., S. Liu, and X. Wei (2012), Impacts of forest changes on hydrology: A case study of large watersheds in the upper reaches of Minjiang River watershed in China, Hydrol. Earth Syst. Sci., 16(11), 4279–4290, doi:10.5194/hess-16-4279-2012.
21. Cutler, D. R., T. C. Edwards Jr., K. H. Beard, A. Cutler, and K. T. Hess (2007), Random forests for classification in ecology, Ecology, 88(11), 2783–2792, doi:10.1890/07-0539.1.
22. Datry, T., D. B. Arscott, and S. Sabater (2011), Recent perspectives on temporary river ecology, Aquat. Sci., 73(4), 453–457, doi:10.1007/s00027-011-0236-1.
23. Datry, T., S. T. Larned, and K. Tockner (2014), Intermittent rivers: A challenge for freshwater ecology, Bioscience, 64(3), 229–235, doi:10.1093/biosci/bit027.
24. Datry, T., H. Pella, C. Leigh, N. Bonada, and B. Hugueny (2016), A landscape approach to advance intermittent river ecology, Freshwater Biol., 61(8), 1200–1213, doi:10.1111/fwb.12645.
25. Davey, A. J. H., and D. J. Kelly (2007), Fish community responses to drying disturbances in an intermittent stream: A landscape perspective, Freshwater Biol., 52(9), 1719–1733, doi:10.1111/j.1365-2427.2007.01800.x.
26. Dietrich, W. E., C. J. Wilson, D. R. Montgomery, and J. McKean (1993), Analysis of erosion thresholds, channel networks, and landscape morphology using a digital terrain model, J. Geol., 101(2), 259–278, doi:10.1086/648220.
27. Environment Agency (2003), River Habitat Survey in Britain and Ireland, Field Survey Guidance Manual: 2003, Bristol, U. K.
28. ESRI (2014), ArcGIS Desktop 10.2.1 (GIS software), Redlands, Calif.
29. European Commission (2000), Directive 2000/60/EC of the European Parliament and of the Council—Establishing a Framework for Community Action in the Field of Water Policy, European Union, Brussels, Belgium.
30. Fernández-Giber, E., J. M. Calaforra, and C. Rossi (2000), Speleogenesis in the Picos de Europa Massif, Northern Spain, in Speleogenesis: Evolution of Karst Aquifers, edited by A. B. Klimchouk et al., pp. 352–357, Natl. Speleol. Soc., Huntsville, Alabama.
31. Friedman, J. H., and J. J. Meulman (2003), Multiple additive regression trees with application in epidemiology, Stat. Med., 22(9), 1365–1381, doi:10.1002/sim.1501.
32. Fritz, K. M., E. Hagenbuch, E. D'Amico, M. Reif, P. J. Wigington, S. G. Leibowitz, R. L. Comeleo, J. L. Ebersole, and T.-L. Nadeau (2013), Comparing the extent and permanence of headwater streams from two field surveys to values from hydrographic databases and maps, J. Am. Water Resour. Assoc., 49(4), 867–882, doi:10.1111/jawr.12040.
33. Grupo de Emisarios Submarinos e Hidraulica Ambiental (GESHA) (2005), Estudio de los Recursos Hídricos de los ríos de la vertiente norte de Cantabria (Study of the Water Resources of the rivers of the north of Cantabria), Univ. of Cantabria, Santander, Spain.
34. González-Ferreras, A. M., J. Barquín, and F. J. Peñas (2016), Integration of habitat models to predict fish distributions in several watersheds of Northern Spain, J. Appl. Ichthyol., 32(1), 204–216, doi:10.1111/jai.13024.
35. Hansen, W. F. (2001), Identifying stream types and management implications, For. Ecol. Manage., 143(1–3), 39–46, doi:10.1016/S0378-1127(00)00503-X.
36. Hollister, J. W., W. B. Milstead, and B. J. Kreakie (2016), Modeling lake trophic state: A random forest approach, Ecosphere, 7(3), e01321, doi:10.1002/ecs2.1321.
37. IGME (2015), Mapa de Litologias de España 1/1.000.000 (Spain map lithologies 1/1.000.000), Madrid, Spain. [Available at http://mapas.igme.es/Servicios/default.aspx#IGME_Litologias_1M.]
38. Kuhn, M. (2008), Building predictive models in R using the caret package, J. Stat. Software, 28(5), 1–26.
39. Kursa, M. B., and W. R. Rudnicki (2010), Feature selection with the Boruta package, J. Stat. Software, 36(11), 1–13.
40. Larned, S. T., T. Datry, D. B. Arscott, and K. Tockner (2010), Emerging concepts in temporary-river ecology, Freshwater Biol., 55(4), 717–738, doi:10.1111/j.1365-2427.2009.02322.x.
41. Larned, S. T., J. Schmidt, T. Datry, C. P. Konrad, J. K. Dumas, and J. C. Diettrich (2011), Longitudinal river ecohydrology: Flow variation down the lengths of alluvial rivers, Ecohydrology, 4(4), 532–548, doi:10.1002/eco.126.
42. Leigh, C., N. Bonada, A. J. Boulton, B. Hugueny, S. T. Larned, R. Vander Vorste, and T. Datry (2016), Invertebrate assemblage responses and the dual roles of resistance and resilience to drying in intermittent rivers, Aquat. Sci., 78(2), 291–301, doi:10.1007/s00027-015-0427-2.
43. Leigh, C., B. Laporte, N. Bonada, K. Fritz, H. Pella, E. Sauquet, K. Tockner, and T. Datry (2017), IRBAS: An online database to collate, analyze, and synthesize data on the biodiversity and ecology of intermittent rivers worldwide, Ecol. Evol., 7(3), 815–823, doi:10.1002/ece3.2679.
44. Liaw, A., and M. Wiener (2002), Classification and regression by randomForest, R News, 2(3), 18–22.
45. McClain, E. M., et al. (2003), Biogeochemical hot spots and hot moments at the interface of terrestrial and aquatic ecosystems, Ecosystems, 6(4), 301–312, doi:10.1007/s10021-003-0161-9.
46. McDonough, O. T., J. D. Hosen, and M. A. Palmer (2011), Temporary streams: The hydrology, geography, and ecology of non-perennially flowing waters, in River Ecosystems: Dynamics, Management and Conservation, edited by H. S. Elliot and L. E. Martin, pp. 64–68, Nova Sci., Hauppauge, New York.
47. Miller, D. (2002), Program for DEM analysis, in Landscape Dynamics and Forest Management, Gen. Tech. Rep. RMRS-GTR-101CD, USDA For. Serv., Rocky Mountain Res. Sta., Fort Collins, Colo.
48. Montgomery, D. R., and W. E. Dietrich (1992), Channel Initiation and the problem of landscape scale, Science, 255(5046), 826–830, doi:10.1126/science.255.5046.826.
49. Nadeau, T.-L., and M. C. Rains (2007), Hydrological connectivity between headwater streams and downstream waters: How science can inform policy, J. Am. Water Resour. Assoc., 43(1), 118–133, doi:10.1111/j.1752-1688.2007.00010.x.
50. National Geographic Institute (IGN) (2016), Base Topográfica Nacional de España 1:25.000 - BTN25 (National Topographical Base of Spain 1:25.000 - BTN25). [Available at http://centrodedescargas.cnig.es/CentroDescargas/.]
51. Nikolaidis, N. P., et al. (2013), Towards sustainable management of Mediterranean river basins: Policy recommendations on management aspects of temporary streams, Water Policy, 15(5), 830–849, doi:10.2166/wp.2013.158.
52. Peñas, F. J., J. Barquin, T. H. Snelder, D. J. Booker, and C. Alvarez (2014), The influence of methodological procedures on hydrological classification performance, Hydrol. Earth Syst. Sci., 18(9), 3393–3409, doi:10.5194/hess-18-3393-2014.
53. Pires, A. M., I. G. Cowx, and M. M. Coelho (1999), Seasonal changes in fish community structure of intermittent streams in the middle reaches of the Guadiana basin, Portugal, J. Fish Biol., 54(2), 235–249, doi:10.1111/j.1095-8649.1999.tb00827.x.
54. R Core Team (2015), R: A language and environment for statistical computing, Found. for Stat. Comput., Vienna.
55. Reid, L. M., and R. R. Ziemer (1994), Evaluating the biological significance of intermittent streams, in Issues in Watershed Analysis. Discussions at Interdisciplinary and Interagency Workshops, Humboldt Interagency Watershed Anal. Cent., edited by USDA Forest Service Pacific Southwest Research Station, McKinleyville, Calif.
56. Rivas-Martínez, S., A. Penas, and T. E. Díaz (2004), Bioclimatic map of Europe, Bioclimates, Cartogr. Serv., Univ. of León, León, Spain.
57. Robinson, C. T., D. Tonolla, B. Imhof, R. Vukelic, and U. Uehlinger (2016), Flow intermittency, physico-chemistry and function of headwater streams in an Alpine glacial catchment, Aquat. Sci., 78(2), 327–341, doi:10.1007/s00027-015-0434-3.
58. Robson, B. J., and T. G. Matthews (2004), Drought refuges affect algal recolonization in intermittent streams, River Res. Appl., 20(7), 753–763, doi:10.1002/rra.789.
59. RStudio (2015), RStudio: Integrated development environment for R (Version 0.98.1103), Boston, Mass.
60. Sabater, S., and K. Tockner (2010), Effects of hydrologic alterations on the ecological quality of river ecosystems, in Water Scarcity in the Mediterranean: Perspectives Under Global Change, edited by S. Sabater and D. Barceló, pp. 15–39, Springer, Berlin Heidelberg.
61. Sánchez de Dios, R., M. Benito-Garzón, and H. Sainz-Ollero (2009), Present and future extension of the Iberian submediterranean territories as determined from the distribution of marcescent oaks, Plant Ecol., 204(2), 189–205, doi:10.1007/s11258-009-9584-5.
62. Sando, R., and K. W. Blasch (2015), Predicting alpine headwater stream intermittency: A case study in the northern Rocky Mountains, Ecohydrol. Hydrobiol., 15(2), 68–80, doi:10.1016/j.ecohyd.2015.04.002.
63. Shortridge, J. E., S. D. Guikema, and B. F. Zaitchik (2016), Machine learning methods for empirical streamflow simulation: A comparison of model accuracy, interpretability, and uncertainty in seasonal watersheds, Hydrol. Earth Syst. Sci., 20(7), 2611–2628, doi:10.5194/hess-20-2611-2016.
64. Smerdon, B. D., T. Redding, and J. Beckers (2009), An overview of the effects of forest management on groundwater hydrology, BC J. Ecosyst. Manage., 10(1), 22–44.
65. Snelder, T. H., N. Lamouroux, and H. Pella (2011), Empirical modelling of large scale patterns in river bed surface grain size, Geomorphology, 127(3–4), 189–197, doi:10.1016/j.geomorph.2010.12.015.
66. Snelder, T. H., T. Datry, N. Lamouroux, S. T. Larned, E. Sauquet, H. Pella, and C. Catalogne (2013), Regionalization of patterns of flow intermittence from gauging station records, Hydrol. Earth Syst. Sci., 17(7), 2685–2699, doi:10.5194/hess-17-2685-2013.
67. Spanish National Meteorological Agency (AEMET) (2016), Resumen climatológico nacional sobre el estado del clima y la evolución de las principales variables climáticas (National climatological summary on the state of the climate and the evolution of the main climatic variables), Madrid, Spain. [Available at http://www.aemet.es/es/serviciosclimaticos/vigilancia_clima/resumenes.]
68. Spence, C., and S. Mengistu (2016), Deployment of an unmanned aerial system to assist in mapping an intermittent stream, Hydrol. Processes, 30(3), 493–500, doi:10.1002/hyp.10597.
69. Svec, J. R., R. K. Kolka, and J. W. Stringer (2005), Defining perennial, intermittent, and ephemeral channels in Eastern Kentucky: Application to forestry best management practices, For. Ecol. Manage., 214(1–3), 170–182, doi:10.1016/j.foreco.2005.04.008.
70. Tooth, S. (2000), Process, form and change in dryland rivers: A review of recent research, Earth Sci. Rev., 51(1–4), 67–107, doi:10.1016/S0012-8252(00)00014-3.
71. Turner, D. S., and H. E. Richter (2011), Wet/dry mapping: Using citizen scientists to monitor the extent of perennial surface flow in dryland regions, Environ. Manage., 47(3), 497–505, doi:10.1007/s00267-010-9607-y.
72. Tzoraki, O., N. P. Nikolaidis, Y. Amaxidis, and N. T. Skoulikidis (2007), In-stream biogeochemical processes of a temporary river, Environ. Sci. Technol., 41(4), 1225–1231, doi:10.1021/es062193h.
73. Uys, C. M., and H. J. O'Keeffe (1997), Simple words and fuzzy zones: Early directions for temporary river research in South Africa, Environ. Manage., 21(4), 517–531, doi:10.1007/s002679900047.
74. Woodward, B. D. (1983), Predator-prey interactions and breeding-pond use of temporary-pond species in a desert anuran community, Ecology, 64(6), 1549–1555, doi:10.2307/1937509.