Eco-hydrologic model cascades: Simulating land use and climate change impacts on hydrology, hydraulics and habitats for fish and macroinvertebrates

Science of the Total Environment

Volumn 533, Issue , 2015, Pages 542-556

  Guse, Björn ^a   Kail, Jochem ^b,c   Radinger, Johannes ^b   Schröder, Maria ^c   Kiesel, Jens ^a   Hering, Daniel ^c   Wolter, Christian ^b   Fohrer, Nicola ^a  

^a UNIVERSITY OF KIEL   (Germany)

^b LEIBNIZ INSTITUTE OF FRESHWATER ECOLOGY AND INLAND FISHERIES   (Germany)

^c UNIVERSITY OF DUISBURG ESSEN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CATCHMENTS; CLIMATE MODELS; ECOSYSTEMS; FISH; FLUID DYNAMICS; HYDRODYNAMICS; HYDROLOGY; LAND USE; RUNOFF; WATER QUALITY;

CLIMATE CHANGE IMPACT; HABITAT SUITABILITY; HYDRAULIC CONDITIONS; HYDROLOGIC MODELING; HYDROLOGICAL MODELING; HYDROLOGICAL PROCESS; NITRATE CONCENTRATION; SCENARIO SIMULATIONS;

CLIMATE CHANGE;

NITRATE;

CLIMATE EFFECT; ECOHYDROLOGY; FISH; FRESHWATER ECOSYSTEM; HABITAT SELECTION; HYDRAULICS; HYDRODYNAMICS; HYDROLOGICAL MODELING; LAND USE CHANGE; MACROINVERTEBRATE;

ARTICLE; CATCHMENT; CLIMATE CHANGE; COMPARATIVE STUDY; CONCENTRATION (PARAMETERS); CONTROLLED STUDY; ENVIRONMENTAL IMPACT; FISH; FLOW RATE; HABITAT; HYDRODYNAMICS; HYDROLOGY; LAND USE; MACROINVERTEBRATE; NONHUMAN; POPULATION ABUNDANCE; PRIORITY JOURNAL; RIVER; SIMULATION; WATER DEPTH; WATER QUALITY; ANIMAL; CLIMATE; ECOSYSTEM; INVERTEBRATE; PHYSIOLOGY; THEORETICAL MODEL; WATER FLOW;

ANIMALS; CLIMATE; ECOSYSTEM; FISHES; HYDROLOGY; INVERTEBRATES; MODELS, THEORETICAL; RIVERS; WATER MOVEMENTS; WATER QUALITY;

EID: 84937053737     PISSN: 00489697     EISSN: 18791026     Source Type: Journal    
DOI: 10.1016/j.scitotenv.2015.05.078     Document Type: Article

References (96)

1. Ahmadi-Nedushan B., St-Hilaire A., Berube M., Robichaud E., Thiemonge N., Bobee B. A review of statistical methods for the evaluation of aquatic habitat suitability for instream flow assessment. River Res. Appl. 2006, 22:503-523.
2. Allan J.D., Johnson L.B. Catchment-scale analysis of aquatic ecosystems. Freshw. Biol. 1997, 37:107-111.
3. Arnold J., Fohrer N. SWAT2000: current capabilities and research opportunities in applied watershed modelling. Hydrol. Process. 2005, 19:563-572.
4. Arnold J., Srinivasan R., Muttiah R., Williams J. Large area hydrologic modeling and assessment part I: model development. J. Am. Water Resour. Assoc. 1998, 34:73-89.
5. Beechie T.J., Sear D.A., Olden J.D., Pess G.R., Buffington J.M., Moir H., Roni P., Pollock M.M. Process-based principles for restoring river ecosystems. Bioscience 2011, 60(3):209-222.
6. Beisel J.-N., Usseglio-Polatera P., Thomas S., Moreteau J.-C. Stream community structure in relation to spatial variation: the influence of mesohabitat characteristics. Hydrobiologia 1998, 389(1):73-88.
7. BGR, 1999. Bodenübersichtskarte im Massstab 1:200000, Verbreitung der Bodengesellschaften. Bundesanstalt für Geowissenschaften und Rohstoffe, Hannover.
8. Bieger K., Hörmann G., Fohrer N. The impact of land use change in the Xiangxi catchment (China) on water balance and sediment transport. Reg. Environ. Chang. 2013, 10.1007/s10113-013-0429-3.
9. Bischoff A. Juvenile Fish Recruitment in the Large Lowland River Oder: Assessing the Role of Physical Factors and Habitat Availability 2002, Shaker Verlag, Aachen.
10. Bless R. Einsichten in die Ökologie der Elritze Phoxinus phoxinus (L.). Schriftenreihe für Landschaftspflege und Naturschutz 1992, 35:1-68.
11. Blöschl G., Ardoin-Bardin S., Bonell M., Dorninger M., Goodrich D., Gutknecht D., Matamoros D., Merz B., Shand P., Szolgay J. At what scales do climate variability and land cover change impact on flooding and low flows?. Hydrol. Process. 2007, 21:1241-1247.
12. Bohlen J. Untersuchungen zur Autökologie des Steinbeissers, Cobitis taenia 2003, (Phd thesis), Humboldt-University, Berlin.
13. Bovee K.D., Cochnauer T. Development and evaluation of weighted criteria, probability-of-use curves for instream flow assessments: fisheries. Instream Flow Information Paper 3, FWS/OBS-77/63 1977, Fish and Wildlife Service, U.S. Department of the Interior, Washington, D.C., (38 pp. Available: https://www.fort.usgs.gov/publication/353. Accessed 01. September 2014).
14. Bovee K., Lamb B., Bartholow J., Stalnaker C., Taylor J., Henriksen J. Stream habitat analysis using the in-stream flow incremental methodology. U.S. Geological Survey, Biological Resources Div., Information and Technology Report, USGS/BRD-1998-0004 1998.
15. Bronstert A., Kolokotronis V., Schwandt D., Straub H. Comparison and evaluation of regional climate scenarios for hydrological impact analysis: general scheme and application example. Int. J. Climatol. 2007, 27:1579-1594.
16. Burgin A., Hamilton S.K. Have we overemphasized the role of denitrification in aquatic ecosystems? A review of nitrate removal pathways. Front. Ecol. Environ. 2007, 5(2):89-96.
17. Camargo J., Alonso A. Ecological and toxicological effects of inorganic nitrogen pollution in aquatic ecosystems: a global assessment. Environ. Int. 2006, 32:831-849.
18. Ceola S., Bertuzzo E., Singer G., Battin T.J., Montanari A., Rinaldo A. Hydrologic controls on basin-scale distribution of benthic invertebrates. Water Resour. Res. 2014, 50. 10.1002/2013WR015112.
19. Chow V.-T. Open-Channel Hydraulics 1959, McGraw-Hill.
20. Copp G.H., Vilizzi L. Spatial and ontogenetic variability in the microhabitat use of stream dwelling spined loach (Cobitis taenia) and stone loach (Barbatula barbatula). J. Appl. Ichthyol. 2004, 6:440-451.
21. Dahm V., Hering D., Nemitz D., Graf W., Schmidt-Kloiber A., Leitner P., Melcher A., Feld C. Effects of physico-chemistry, land use and hydromorphology on three riverine organism groups: a comparative analysis with monitoring data from Germany and Austria. Hydrobiologia 2013, 704:389-415.
22. Feld C.K., Hering D. Community structure or function: effects of environmental stress on benthic macroinvertebrates at different spatial scales. Freshw. Biol. 2007, 52:1380-1399.
23. Freyhof J. Strukturierende Faktoren für die Fischgemeinschaft der Sieg 1998, Cuvillier Verlag, Göttingen.
24. Geertz J. Land Use Scenarios for the River Treene Catchment in Northern Germany 2012, (Bachelor thesis), Brandenburgische Technische Universität Cottbus.
25. Grift R. How Fish Benefit from Floodplain Restoration along the Lower River Rhine 2001, (PhD thesis), Wageningen University.
26. Grift R., Buijse A., Van Densen W., Machiels M., Kranenbarg J., Breteler J., Backx J. Suitable habitats for 0-group fish in rehabilitated floodplains along the lower river rhine. River Res. Appl. 2003, 19:353-374.
27. Guse B., Pfannerstill M., Geertz J., Fohrer N. Einzugsgebietsmodellierung des Einflusses von dynamischen Änderungen in der räumlichen Verteilung von Ackerfrüchten auf die Wasserqualität in drei Landnutzungsszenarien. Forum Hydrol. Wasserbewirtsch. 2014, 34(14):103-110.
28. Guse B., Reusser D.E., Fohrer N. How to improve the representation of hydrological processes in SWAT for a lowland catchment - temporal analysis of parameter sensitivity and model performance. Hydrol. Process. 2014, 28:2651-2670.
29. Hattermann F., Krysanova V., Wechsung F., Wattenbach M. Integrating groundwater dynamics in regional hydrological modelling. Environ. Model Softw. 2004, 19:1039-1051.
30. Hauer C., Unfer G., Holzmann H., Schmutz S., Habersack H. The impact of discharge change on physical instream habitats and its response to river morphology. Clim. Chang. 2013, 116:827-850.
31. Hering D., Johnson R.K., Kramm S., Schmutz S., Szoszkiewicz K., Verdonschot P.F.M. Assessment of european streams with diatoms, macrophytes, macroinvertebrates and fish: a comparative metric-based analysis of organism response to stress. Freshw. Biol. 2006, 51:1757-1785.
32. Hesse C., Krysanova V., Pazolt J., Hattermann F. Eco-hydrological modelling in a highly regulated lowland catchment to find measures for improving water quality. Ecol. Model. 2008, 218(1-2):135-148.
33. Huang S., Hesse C., Krysanova V., Hattermann F. From meso- to macro-scale dynamic water quality modelling for the assessment of land use change scenarios. Ecol. Model. 2009, 220(19):2543-2558.
34. Huang S., Krysanova V., Österle H., Hattermann F.F. Simulation of spatiotemporal dynamics of water fluxes in Germany under climate change. Hydrol. Process. 2010, 24:3289-3306.
35. Hughes S.J., Ferreira T., Cortes R.V. Hierarchical spatial patterns and drivers of change in bentic macroinvertebrate communities in an intermittent mediterranean river. Aquat. Conserv. Mar. Freshwat. Ecosyst. 2008, 18:742-760.
36. Jasiewicz J. A new grass gis fuzzy inference system for massive data analysis. Comput. Geosci. 2011, 37:1525-1531.
37. Juckem P.F., Hunt R.J., Anderson M.P., Robertson D.M. Effects of climate and land management change on streamflow in the driftless area of Wisconsin. J. Hydrol. 2008, 355:123-130.
38. Kail J., Wolter C. Pressures at larger spatial scales strongly influence the ecological status of heavily modified river water bodies in germany. Sci. Total Environ. 2013, 454-455:40-50.
39. Kail J., Guse B., Radinger J., Schröder M., Kiesel J., Kleinhans M., Schuurman F., Fohrer N., Hering D., Wolter C. Coupling models in a modelling framework to assess the effect of pressures on abiotic habitat conditions and biota of rivers. PLoS One 2015, (accepted).
40. Kiesel J., Hering D., Schmalz B., Fohrer N. A transdisciplinary approach for modelling macroinvertebrate habitats in lowland streams. IAHS-AISH Publ. 2009, 328:24-33.
41. Kiesel J., Fohrer N., Schmalz B., White M.J. Incorporating landscape depressions and tile drainages of lowland catchments into spatially distributed hydrologic modeling. Hydrol. Process. 2010, 24:1472-1486.
42. Kiesel J., Schmalz B., Brown G.L., Fohrer N. Application of a hydrological-hydraulic modelling cascade in lowlands for investigating water and sediment fluxes in catchment, channel and reach. J. Hydrol. Hydromech. 2013, 61:334-346.
43. Kiesel J., Schröder M., Hering D., Schmalz B., Hörmann G., Jähnig S., Fohrer N. A new model linking macroinvertebrate assemblages to habitat composition in rivers: development, sensitivity and univariate application. Fundam. Appl. Limnol. 2015, 186(1-2):117-133.
44. Kundzewicz Z.W., Mata L.J., Arnell N.W., Döll P., Jimenez B., Miller K., Oki T., Sen Z., Shiklomanov I. The implications of projected climate change for freshwater resources and their management. Hydrol. Sci. J. 2008, 53(1):3-10.
45. Lamouroux N., Capra H., Pouilly M., Souchon Y. Fish habitat preferences in large streams of southern France. Freshw. Biol. 1999, 42(4):673-687.
46. Li Z., Liu W.-Z., Zhang X.-C., Zheng F.-L. Impacts of land use change and climate variability on hydrology in an agricultural catchment on the loess plateau of China. J. Hydrol. 2009, 377:35-42.
47. Li Y., Chen B.-M., Wang Z.-G., Peng S.-L. Effects of temperature change on water discharge, and sediment and nutrient loading in the lower pearl river basin based on SWAT modelling. Hydrol. Sci. J. 2011, 56(1):68-83.
48. Logez M., Bady P., Melcher A., Pont D. A continental-scale analysis of fish assemblage functional structure in European rivers. Ecography 2013, 36:80-91.
49. LVERMA S-H Digitales Höhenmodell DHM25 (25m×25m) 1995, Land Survey Office Schleswig-Holstein, Kiel.
50. LVERMA S-H Automatisierte Liegenschaftskarte (ALK). Vermessungs- und Katasterverwaltung Schleswig-Holstein 2004.
51. Mann R. Environmental requirements of european non-salmonid fish in rivers. Hydrobiologia 1996, 323:223-235.
52. Marquardt J. GIS-gestützte Untersuchung des Pflanzenanbaus für Biogasanlagen und dessen potentieller Auswirkungen auf die Beschaffenheit und den Zustand von Boden und Wasser in Schleswig-Holstein. Diplomarbeit, Geographie, Leibniz Universität Hannover 2008.
53. Martinkova M., Hesse C., Krysanova V., Vetter T., Hanel M. Potential impact of climate change on nitrate load from the Jizera catchment (Czech Republic). Phys. Chem. Earth 2011, 36:673-683.
54. Marzin A., Verdonschot P., Pont D. The relative influence of catchment, riparian corridor, and reach-scale anthropogenic pressures on fish and macroinvertebrate assemblages in French rivers. Hydrobiologia 2013, 704:375-389.
55. Mastrorillo S., Dauba F., Belaud A. Utilisation des microhabitats par le vairon, le goujon et la loche franche dans trois rivieres du sud-ouest de la france. Ann. Limnol.-Int. J. Limnol. 1996, 32(3):185-195.
56. Mastrorillo S., Lek S., Dauba F. Predicting the abundance of minnow Phoxinus phoxinus (Cyprinidae) in the River Ariege (France) using artificial neural networks. Aquat. Living Resour. 1997, 10(3):169-176.
57. McManamay R., Frimpong E. Hydrologic filtering of fish life history strategies across the United States: implications for stream flow alteration. Ecol. Appl. 2014, 25:243-263.
58. Mooij W., Trolle D., Jeppesen E., et al. Challenges and opportunities for integrating lake ecosystem modelling approaches. Aquat. Ecol. 2010, 44:633-667.
59. Mouton A., Schneider M., Depestele J., Goethals P., Depauw N. Fish habitat modelling as a tool for river management. Ecol. Eng. 2007, 29:305-315.
60. Müller M., Pander J., Geist J. The ecological value of stream restoration measures: an evaluation on ecosystem and target species scales. Ecol. Eng. 2014, 62:129-139.
61. Nash J.E., Sutcliffe J.V. River flow forecasting through conceptual models: part I - a discussion of principles. J. Hydrol. 1970, 10:282-290.
62. Neitsch S., Arnold J., Kiniry J., Williams J. Soil & water assessment tool - theoretical documentation version 2009. Texas Water Resources Institute Technical Report 406 2011.
63. Nelson J.M., Shimizu Y., Takebayashi H., McDonald R.R. The international river interface cooperative (iRIC): Public domain software for river modeling. In Proceedings of the 2nd Joint Federal Interagency Conference June, 2010.
64. Niehoff D., Fritsch U., Bronstert A. Land-use impacts on storm-runoff generation: scenarios of land-use change and simulation of hydrological response in a meso-scale catchment in SW-Germany. J. Hydrol. 2002, 267:80-93.
65. Orlowsky B., Gerstengarbe F.-W., Werner P. A resampling scheme for regional climate simulations and its performance compared to a dynamical RCM. Theor. Appl. Climatol. 2008, 92:209-223.
66. Pander J., Geist J. Ecological indicators for stream restoration success. Ecol. Indic. 2013, 30:106-118.
67. Pardo I., Armitage P. Species assemblages as descriptors of mesohabitats. Hydrobiologia 1997, 344(1):111-128.
68. Payne T. The concept of weighted usable area as relative suitability index. IFIM Users Workshop, 1-5 June 2003, Fort Collins 2003, 1-14.
69. Pfannerstill M., Guse B., Fohrer N. A multi-storage groundwater concept for the SWAT model to emphasize nonlinear groundwater dynamics in lowland catchments. Hydrol. Process. 2014, 28:5599-5612.
70. Pfannerstill M., Guse B., Fohrer N. Smart low flow signature metrics for an improved overall performance evaluation of hydrological models. J. Hydrol. 2014, 510:447-458.
71. Poff N., Allan J., Bain M., Karr J., Prestegaard K., Richter B., Sparks R., Stromberg J. The natural flow regime: a new paradigm for riverine conservation and restoration. Bioscience 1997, 47:769-784.
72. Pottgiesser T., Sommerhäuser M. Beschreibung und Bewertung der deutschen Fliessgewässertypen, Steckbriefe und Anhang Available:, (Accessed 1 September 2014). http://www.wasserblick.net/servlet/is/18727/?highlight=flie%DFgew%E4ssertypen.2008.
73. Radinger J., Wolter C. Disentangling the effects of habitat suitability, dispersal and fragmentation on the distribution of river fishes. Ecol. Appl. 2015, 25(4):914-927.
74. Radinger J., Wolter C. Patterns and predictors of fish dispersal. Fish and Fish. 2014, 15(3):456-473.
75. Reid M.A., Thoms M.C. Surface flow types, near-bed hydraulics and the distribution of stream macroinvertebrates. Biogeosciences 2008, 5(4):1043-1055.
76. Richter B., Baumgartner J., Powell J., Braun D. A method for assessing hydrologic alteration within ecosystems. Conserv. Biol. 1996, 10:163-174.
77. Roth N.E., Allan J.D., Erickson D.L. Landscape influences on stream biotic integrity assessed at multiple spatial scales. Landsc. Ecol. 1996, 11:141-156.
78. Santos R.M.B., Sanches Fernandes L.F., Moura J.P., Pereira M.G., Pacheco F.A.L. The impact of climate change, human interference, scale and modeling uncertainties on the estimation of aquifer properties and river flow components. J. Hydrol. 2014, 519:1297-1314.
79. Schaarschmidt T., Arzbach H., Bock R., Borkmann I., Braemick U., Brunke M., Lemcke R., Kaemmereit M., Meyer L., Tappenbeck L. Die Fischfauna der kleinen Fliessgewässer Nord- und Nordostdeutschlands - Leitbildentwicklung und typgerechte Anpassung des Bewertungsschemas nach EU-Wasserrahmenrichtlinie. Abschlussbericht. LAWA- Projekt im Rahmen des Länderfinanzprogramms Wasser und Boden im Auftrag des Umweltministeriums Mecklenburg-Vorpommern 2005, 330 S.
80. Scharf J., Braemick U., Fredrich F., Rothe U., Schuhr H., Tautenhahn M., Wolter C., Zahn S. Fische in Brandenburg - Aktuelle Kartierung und Beschreibung der märkischen Fischfauna 2011, Institut für Binnenfischerei e.V. Potsdam-Sacrow (Hrsg.).
81. Schinegger R., Trautwein C., Schmutz S. Pressure-specific and multiple pressure response of fish assemblages in european running waters. Limnologica 2013, 43:348-361.
82. Schmedtje U., Colling M. Ökologische Typisierung der aquatischen Makrofauna. Informationsberichte des Bayerischen Landesamtes für Wasserwirtschaft, München 1996.
83. Schmidt-Kloiber A., Hering D. The Taxa and Autecology Database For Freshwater Organisms, Version 5.0 (accessed on 26.01.2015). http://www.freshwaterecology.info.
84. Schröder M., Kiesel J., Schauttmann A., Jähnig S.C., Lorenz A.W., Kramm S., Keizer-Vlek H., Rolauffs P., Graf W., Leitner P., Hering D. Substratum associations of benthic invertebrates in lowland and moutain streams. Ecol. Indic. 2013, 30:178-189.
85. Setegn S.G., Rayner D., Melesse A.M., Dargahi B., Srinivasan R. Impact of climate change on the hydroclimatology of Lake Tana Basin, Ethiopia. Water Resour. Res. 2011, 47. 10.1029/2010WR009248.
86. Singh R., Wagener T., van Werkhoven K., Mann M., Crane R. A trading-space-for-time approach to probabilistic continuous streamflow predictions in a changing climate. Hydrol. Earth Syst. Sci. 2011, 15:3591-3603.
87. Spratte S., Hartmann U. Fischartenkataster. Süsswasserfische und Neunaugen in Schleswig-Holstein 1998, Ministerium für ländliche Räume, Landwirtschaft, Ernährung und Tourismus des Landes Schleswig-Holstein, Kiel.
88. Stephenson J.M., Morin A. Covariation of stream community structure and biomass of algae, invertebrates and fish with forest cover at multiple spatial scales. Freshw. Biol. 2009, 54:2139-2154.
89. Stubbington R., Boulton A.J., Sally L., Wood P.J. Changes in invertebrate assemblage composition in benthic and hyporheic zones during a severe supraseasonal drought. Freshw. Sci. 2015, 34(1):344-354.
90. Sundermann A., Gerhardt M., Kappes H., Haase P. Stressor prioritisation in riverine ecosystems: which environmental factors shape benthic invertebrate assemblage metrics?. Ecol. Indic. 2013, 27:83-96.
91. Tu J. Combined impact of climate and land use changes on streamflow and water quality in eastern Massachusetts, USA. J. Hydrol. 2009, 379:268-283.
92. USACE River Analysis System (HEC-RAS), User's Manual 2002, Hydrologic Engineering Center (HEC), US Army Corps of Engineers.
93. USACE HEC-GeoRAS, GIS Tools for Support of HECRAS Using ArcGIS. Users Manual, Version 4.3.93 2011, US Army Corps of Engineers, Hydraulic Engineering Centre.
94. Valle Junior R., Varandas S., Pacheco F., Pereira V., Santos C., Cortes R., Fernandes L. Impacts of land use conflicts on riverine ecosystems. Land Use Policy 2015, 43:48-62.
95. Vlach P., Dusek J., Svatora M., Moravec P. Fish assemblage structure, habitat and microhabitat preference of five fish species in a small stream. Folia Zool.-Praha 2005, 54(4):421.
96. Wolter C., Arlinghaus R., Grosch U.A., Vilcinskas A. Fische & Fischerei in Berlin. Z. Fischkunde Suppl. 2003, 2:1-156.