The change of nature and the nature of change in agricultural landscapes: Hydrologic regime shifts modulate ecological transitions

Water Resources Research

Volumn 51, Issue 8, 2015, Pages 6649-6671

  Foufoula Georgiou, Efi ^a   Takbiri, Zeinab ^a   Czuba, Jonathan A ^a   Schwenk, Jon ^a  

^a University of Minnesota   (United States)

Author keywords

Copula analysis; ecological stability analysis; hydrologic regime shift; mussel population modeling; streamflow nonlinear dynamics; subsurface drainage

Indexed keywords

AGRICULTURE; DRAINAGE; DYNAMICS; ECOLOGY; GROUNDWATER FLOW; HYDROLOGY; LAND USE; MOLLUSCS; RIVERS; SOIL CONSERVATION; STREAM FLOW; WATER CONSERVATION; WATER MANAGEMENT;

COPULA ANALYSIS; ECOLOGICAL STABILITY; HYDROLOGIC REGIME; POPULATION MODEL; SUBSURFACE DRAINAGES;

CLIMATE CHANGE;

AGRICULTURAL LAND; DRAINAGE NETWORK; ECOLOGICAL STABILITY; ENVIRONMENTAL CHANGE; GROWING SEASON; HYDROLOGICAL CHANGE; HYDROLOGICAL REGIME; HYDROLOGICAL RESPONSE; LAND USE CHANGE; MOLLUSC; NUTRIENT CYCLING; POPULATION MODELING; RAINFALL-RUNOFF MODELING; SEDIMENT BUDGET; STREAMFLOW; WATERSHED;

MINNESOTA; MINNESOTA BASIN; UNITED STATES;

EID: 84941996991     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1002/2015WR017637     Document Type: Article

References (80)

1. Abarbanel, H. D. I., (1996), Analysis of Observed Chaotic Data, Springer, NY
2. Addison, P. S., (2002), The Illustrated Wavelet Transform Handbook-Introductory Theory and Applications in Science, Engineering, Medicine and Finance, 353 pp., Inst. of Phys. Publ., Philadelphia, Pa.
3. Angel, J. R., and, F. A. Huff, (1997), Changes in heavy rainfall in the Midwestern United States, J. Water Resour. Plann. Manage., 123 (4), 246-249, doi: 10.1061/(ASCE)0733-9496(1997)123:4(246).
4. Belmont, P., (2011), Floodplain width adjustments in response to rapid base level fall and knickpoint migration, Geomorphology, 128, 92-102, doi: 10.1016/j.geomorph.2010.12.026.
5. Belmont, P., et al., (2011), Large shift in source of fine sediment in the Upper Mississippi River, Environ. Sci. Technol., 45, 8804-8810, doi: 10.1021/es2019109.
6. Biswal, B., and, M. Marani, (2010), Geomorphological origin of recession curves, Geophys. Res. Lett., 37, L24403, doi: 10.1029/2010GL045415.
7. Blann, K., and, E. Kendy, (2012), Developing Ecological Criteria for Sustainable Water Management in Minnesota, 129 pp., The Nat. Conservancy, Cushing, Minn.
8. Blann, K. L., J. L. Anderson, G. R. Sands, and, B. Vondracek, (2009), Effects of agricultural drainage on aquatic ecosystems: A review, Crit. Rev. Environ. Sci. Technol., 39 (11), 909-1001, doi: 10.1080/10643380801977966.
9. Brutsaert, W., and, J. L. Nieber, (1977), Regionalized drought flow hydrographs from a mature glaciated plateau, Water Resour. Res., 13 (3), 637-643, doi: 10.1029/WR013i003p00637.
10. Carlisle, D. M., D. M. Wolock, and, M. R. Meador, (2011), Alteration of streamflow magnitudes and potential ecological consequences: A multiregional assessment, Frontiers Ecol. Environ., 9 (5), 264-270, doi: 10.1890/100053.
11. Changnon, S. A., and, K. E. Kunkel, (1995), Climate-related fluctuations in Midwestern floods during 1921-1985, J. Water Resour. Plann. Manage., 121 (4), 326-334, doi: 10.1061/(ASCE)0733-9496(1995)121:4(326).
12. Chen, B., and, W. F. Krajewski, (2015), Recession analysis across scales: The impact of both random and nonrandom spatial variability on aggregated hydrologic response, J. Hydrol., 523, 97-106, doi: 10.1016/j.jhydrol.2015.01.049.
13. Czuba, J. A., and, E. Foufoula-Georgiou, (2015), Dynamic connectivity in a fluvial network for identifying hotspots of geomorphic change, Water Resour. Res., 51 (3), 1401-1421, doi: 10.1002/2014WR016139.
14. Dadaser-Celik, F., and, H. G. Stefan, (2009), Stream flow response to climate in Minnesota, Proj. Rep. 510, 118 pp., St. Anthony Falls Lab., Univ. of Minn., Minneapolis.
15. Dahl, T. E., and, G. J. Allord, (1996), History of wetlands in the conterminous United States, in National Water Summary on Wetland Resources, U.S. Geol. Surv. Water Supply Pap., 2425, U.S. Geol. Surv., Reston, Va. [Available at http://water.usgs.gov/nwsum/WSP2425/history.html.]
16. Daubechies, I., (1992), Ten Lectures on Wavelets, 350 pp., Soc. for Ind. and Appl. Math., Philadelphia, Pa., doi: 10.1137/1.9781611970104.
17. Davies, S. P., and, S. K. Jackson, (2006), The biological condition gradient: A descriptive model for interpreting change in aquatic ecosystems, Ecol. Appl., 16 (4), 1251-1266, doi: 10.1890/1051-0761(2006)016 [1251:TBCGAD]2.0.CO;2.
18. De Schepper, G., R. Therrien, J. C. Refsgaard, and, A. L. Hansen, (2015), Simulating coupled surface and subsurface water flow in a tile-drained agricultural catchment, J. Hydrol., 521, 374-388, doi: 10.1016/j.jhydrol.2014.12.035.
19. Douglas, E. M., R. M. Vogel, and, C. N. Kroll, (2000), Trends in floods and low flows in the United States: Impact of spatial correlation, J. Hydrol., 240 (1-2), 90-105, doi: 10.1016/S0022-1694(00)00336-X.
20. Dupuis, D. J., (2007), Using Copulas in hydrology: Benefits, cautions, and issues, J. Hydrol. Eng., 12 (4), 381-393, doi: 10.1061/(ASCE)1084-0699(2007)12:4(381).
21. Engstrom, D. R., J. E. Almendinger, and, J. A. Wolin, (2009), Historical changes in sediment and phosphorus loading to the upper Mississippi River: Mass-balance reconstructions from the sediments of Lake Pepin, J. Paleolimnol., 41 (4), 563-588, doi: 10.1007/s10933-008-9292-5.
22. Favre, A.-C., S. El Adlouni, L. Perreault, N. Thiémonge, and, B. Bobée, (2004), Multivariate hydrological frequency analysis using copulas, Water Resour. Res., 40, W01101, doi: 10.1029/2003WR002456.
23. Frans, C., E. Istanbulluoglu, V. Mishra, F. Munoz-Arriola, and, D. P. Lettenmaier, (2013), Are climatic or land cover changes the dominant cause of runoff trends in the Upper Mississippi River Basin?, Geophys. Res. Lett., 40, 1104-1110, doi: 10.1002/grl.50262.
24. Gran, K. B., P. Belmont, S. S. Day, N. Finnegan, C. Jennings, J. W. Lauer, and, P. R. Wilcock, (2011), Landscape evolution in south-central Minnesota and the role of geomorphic history on modern erosional processes, GSA Today, 21 (9), 7-9, doi: 10.1130/G121A.1.
25. Gran, K. B., N. Finnegan, A. L. Johnson, P. Belmont, C. Wittkop, and, T. Rittenour, (2013), Landscape evolution, valley excavation, and terrace development following abrupt postglacial base-level fall, GSA Bull., 125 (11-12), 1851-1864, doi: 10.1130/B30772.1.
26. Groisman, P. Y., R. W. Knight, T. R. Karl, D. R. Easterling, B. Sun, and, J. H. Lawrimore, (2004), Contemporary changes of the hydrological cycle over the contiguous United States: Trends derived from in situ observations, J. Hydrometeorol., 5 (1), 64-85, doi: 10.1175/1525-7541(2004)005 <0064:CCOTHC>2.0.CO;2.
27. Groisman, P. Y., R. W. Knight, and, T. R. Karl, (2012), Changes in intense precipitation over the central United States, J. Hydrometeorol., 13 (1), 47-66, doi: 10.1175/JHM-D-11-039.1.
28. Hansen, A. T., J. A. Czuba, J. Schwenk, A. Longjas, M. Danesh-Yazdi, D. J. Hornbach, and, E. Foufoula-Georgiou, (2015), Coupling freshwater mussel ecology and river dynamics using a simplified dynamic interaction model, Freshwater Science.
29. Harman, C. J., M. Sivapalan, and, P. Kumar, (2009), Power law catchment-scale recessions arising from heterogeneous linear small-scale dynamics, Water Resour. Res., 45, W09404, doi: 10.1029/2008WR007392.
30. Higgins, R. W., and, V. E. Kousky, (2013), Changes in observed daily precipitation over the United States between 1950-79 and 1980-2009, J. Hydrometeorol., 14 (1), 105-121, doi: 10.1175/JHM-D-12-062.1.
31. 2 levels?, Hydrol. Sci. J., 57 (1), 1-9, doi: 10.1080/02626667.2011.621895.
32. Joiner, J., et al., (2014), The seasonal cycle of satellite chlorophyll fluorescence observations and its relationship to vegetation phenology and ecosystem atmosphere carbon exchange, Remote Sens. Environ., 152, 375-391, doi: 10.1016/j.rse.2014.06.022.
33. Kantorovitch, L., (1958), On the translocation of masses, Manage. Sci., 5 (1), 1-4, doi: 10.1287/mnsc.5.1.1.
34. Kantz, H., and, T. Schreiber, (2004), Nonlinear Time Series Analysis, vol. 7, Cambridge Univ. Press, Cambridge, UK
35. Karl, T. R., R. W. Knight, D. R. Easterling, and, R. G. Quayle, (1996), Indices of climate change for the United States, Bull. Am. Meteorol. Soc., 77 (2), 279-292, doi: 10.1175/1520-0477(1996)077 <0279:IOCCFT>2.0.CO;2.
36. Kelley, D. W., and, E. A. Nater, (2000), Historical sediment flux from three watersheds into Lake Pepin, Minnesota, USA, J. Environ. Qual., 29, 561-568, doi: 10.2134/jeq2000.00472425002900020025x.
37. Keylock, C. J., (2008), Improved preservation of autocorrelative structure in surrogate data using an initial wavelet step, Nonlinear Processes Geophys., 15, 435-444, doi: 10.5194/npg-15-435-2008.
38. Keylock, C. J., (2010), Characterizing the structure of nonlinear systems using gradual wavelet reconstruction, Nonlinear Processes Geophys., 17, 615-632, doi: 10.5194/npg-17-615-2010.
39. Kirchner, J. W., (2009), Catchments as simple dynamical systems: Catchment characterization, rainfall-runoff modeling, and doing hydrology backward, Water Resour. Res., 45, W02429, doi: 10.1029/2008WR006912.
40. Kirsch, N. A., S. A. Hanson, P. A. Renard, and, J. W. Enblom, (1985), Biological Survey of the Minnesota River, Spec. Publ. 139, 85 pp., Minn. Dep. of Nat. Resour. Fish., St. Paul. [Available at http://files.dnr.state.mn.us/publications/fisheries/special-reports/139.pdf.]
41. Konar, M., M. J. Todd, R. Muneepeerakul, A. Rinaldo, and, I. Rodriguez-Iturbe, (2013), Hydrology as a driver of biodiversity: Controls on carrying capacity, niche formation, and dispersal, Adv. Water Resour., 51, 317-325, doi: 10.1016/j.advwatres.2012.02.009.
42. Kumar, P., and, E. Foufoula-Georgiou, (1997), Wavelet analysis for geophysical applications, Rev. Geophys., 35 (4), 385-412, doi: 10.1029/97RG00427.
43. Legislative Coordinating Commission (2014), Minnesota's Legacy: Watch the Progress, The Minn. State Legislature, St. Paul. [Available at http://www.legacy.leg.mn/.]
44. Lettenmaier, D. P., E. F. Wood, and, J. R. Wallis, (1994), Hydro-climatological trends in the continental United States, 1948-88, J. Clim., 7 (4), 586-607, doi: 10.1175/1520-0442(1994)007 <0586:HCTITC>2.0.CO;2.
45. Lins, H. F., and, J. R. Slack, (1999), Streamflow trends in the United States, Geophys. Res. Lett., 26 (2), 227-230, doi: 10.1029/1998GL900291.
46. Marschner, F. J., (1974), The original vegetation of Minnesota, a map compiled in 1930 by F.J. Marschner under the direction of M.L. Heinselman of the United States Forest Service, scale 1:500,000, Cartogr. Lab. of the Dep. of Geogr., Univ. of Minn., St. Paul.
47. Michaels, P. J., P. C. Knappenberger, O. W. Frauenfeld, and, R. E. Davis, (2004), Trends in precipitation on the wettest days of the year across the contiguous USA, Int. J. Climatol., 24 (15), 1873-1882, doi: 10.1002/joc.1102.
48. Milly, P. C. D., and, K. A. Dunne, (2001), Trends in evaporation and surface cooling in the Mississippi River Basin, Geophys. Res. Lett., 28 (7), 1219-1222, doi: 10.1029/2000GL012321.
49. Moeckel, R., and, B. Murray, (1997), Measuring the distance between time series, Physica D, 102 (3), 187-194, doi: 10.1016/S0167-2789(96)00154-6.
50. Moline, R. T., (1969), The modification of the wet prairie in southern Minnesota, PhD thesis, 283 pp., Univ. of Minn., Minneapolis.
51. Musser, K., S. Kudelka, and, R. Moore, (2009), Minnesota River Basin trends, water resources center report, 64 pp., Minn. State Univ., Mankato. [Available at http://mrbdc.mnsu.edu/minnesota-river-basin-trends-report.]
52. National Oceanic and Atmospheric Administration (2015), National Climatic Data Center, Climate Data Online, http://www.ncdc.noaa.gov/cdo-web/, Natl. Clim. Data Cent., Asheville, N. C.
53. Nelsen, R. B., (1999), An Introduction to Copulas, Lecture Notes in Statistics, vol. 139, 221 pp., Springer, NY
54. Novotny, E. V., and, H. G. Stefan, (2007), Stream flow in Minnesota: Indicator of climate change, J. Hydrol., 334 (3-4), 319-333, doi: 10.1016/j.jhydrol.2006.10.011.
55. Ojakangas, R. W., and, C. L. Matsch, (1982), Minnesota's Geology, 255 pp., Univ. of Minn. Press, Minneapolis.
56. Passalacqua, P., P. Belmont, and, E. Foufoula-Georgiou, (2012), Automatic geomorphic feature extraction from lidar in flat and engineered landscapes, Water Resour. Res., 48, W03528, doi: 10.1029/2011WR010958.
57. Pryor, S. C., J. A. Howe, and, K. E. Kunkel, (2009), How spatially coherent and statistically robust are temporal changes in extreme precipitation in the contiguous USA?, Int. J. Climatol., 29 (1), 31-45, doi: 10.1002/joc.1696.
58. Raymond, P. A., N.-H. Oh, R. E. Turner, and, W. Broussard, (2008), Anthropogenically enhanced fluxes of water and carbon from the Mississippi River, Nature, 451, 449-452, doi: 10.1038/nature06505.
59. Rüschendorf, L., (2009), On the distributional transform, Sklar's theorem, and the empirical copula process, J. Stat. Plann. Inference, 139 (11), 3921-3927, doi: 10.1016/j.jspi.2009.05.030.
60. Salvadori, G., and, C. De Michele, (2007), On the use of Copulas in hydrology: Theory and practice, J. Hydrol. Eng., 12 (4), 369-380, doi: 10.1061/(ASCE)1084-0699(2007)12:4(369).
61. Sauer, T., J. A. Yorke, and, M. Casdagli, (1991), Embedology, J. Stat. Phys., 65 (3-4), 579-616, doi: 10.1007/BF01053745.
62. Schilling, K. E., and, M. Helmers, (2008), Effects of subsurface drainage tiles on streamflow in Iowa agricultural watersheds: Exploratory hydrograph analysis, Hydrol. Processes, 22 (23), 4497-4506, doi: 10.1002/hyp.7052.
63. Schilling, K. E., and, R. D. Libra, (2003), Increased baseflow in Iowa over the second half of the 20th century, J. Am. Water Resour. Assoc., 39 (4), 851-860, doi: 10.1111/j.1752-1688.2003.tb04410.x.
64. Schilling, K. E., K.-S. Chan, H. Liu, and, Y.-K. Zhang, (2010), Quantifying the effect of land use land cover change on increasing discharge in the Upper Mississippi River, J. Hydrol., 387 (3-4), 343-345, doi: 10.1016/j.jhydrol.2010.04.019.
65. Schottler, S. P., J. Ulrich, P. Belmont, R. Moore, J. W. Lauer, D. R. Engstrom, and, J. E. Almendinger, (2014), Twentieth century agricultural drainage creates more erosive rivers, Hydrol. Processes, 28 (4), 1951-1961, doi: 10.1002/hyp.9738.
66. Schreiber, T., (1999), Interdisciplinary application of nonlinear time series methods, Phys. Rep., 308 (1), 1-64, doi: 10.1016/S0370-1573(98)00035-0.
67. Shaw, S. B., and, S. J. Riha, (2012), Examining individual recession events instead of a data cloud: Using a modified interpretation of dQ/dt-Q streamflow recession in glaciated watersheds to better inform models of low flow, J. Hydrol., 434-435, 46-54, doi: 10.1016/j.jhydrol.2012.02.034.
68. Sparrow, C., (1982), The Lorenz Equations: Bifurcations, Chaos, and Strange Attractors, vol. 41, Springer, NY
69. Strogatz, S. H., (2000), Nonlinear Dynamics and Chaos: With Applications to Physics, Biology, Chemistry, and Engineering, Studies in Nonlinearity, 512 pp., Westview Press, Cambridge, Mass.
70. Stuyt, L. C. P. M., W. Dierikx, and, J. Martínez Beltrán, (2005), Materials for subsurface land drainage systems, FAO Irrig. Drain. Pap. 60, rev. 1, 183 pp., Food and Agric. Organ. of the U. N., Rome.
71. Takens, F., (1981), Detecting Strange Attractors in Turbulence, Springer, Berlin.
72. Tejedor, A., A. Longjas, I. Zaliapin, and, E. Foufoula-Georgiou, (2015a), Delta channel networks: 1. A graph-theoretic approach for studying connectivity and steady state transport on deltaic surfaces, Water Resour. Res., doi: 10.1002/2014WR016577, in press.
73. Tejedor, A., A. Longjas, I. Zaliapin, and, E. Foufoula-Georgiou, (2015b), Delta Channel Networks: 2. Metrics of topologic and dynamic complexity for delta comparison, physical inference, and vulnerability assessment, Water Resour. Res., doi: 10.1002/2014WR016604, in press.
74. Torrence, C., and, G. P. Compo, (1998), A practical guide to wavelet analysis, Bull. Am. Meteorol. Soc., 79 (1), 61-78, doi: 10.1175/1520-0477(1998)079 <0061:APGTWA>2.0.CO;2.
75. U.S. Department of Agriculture (2015), National Agricultural Statistics Service, CropScape-Cropland data layer, Washington, DC [Available at http://nassgeodata.gmu.edu/CropScape/.]
76. U.S. Department of Agriculture (USDA) (2014), National Agricultural Statistics Service, Data and Statistics, Quick Stats 2.0, Washington, DC [Available at http://quickstats.nass.usda.gov/.]
77. U.S. Geological Survey (2014), USGS Water Data for Minnesota, Reston, Va. [Available at http://waterdata.usgs.gov/mn/nwis?.]
78. Villarini, G., J. A. Smith, M. L. Baeck, R. Vitolo, D. B. Stephenson, and, W. F. Krajewski, (2011), On the frequency of heavy rainfall for the Midwest of the United States, J. Hydrol., 400 (1-2), 103-120, doi: 10.1016/j.jhydrol.2011.01.027.
79. Walsh, J., et al., (2014), Our changing climate, in Climate Change Impacts in the United States: The Third National Climate Assessment, edited by, J. M. Melillo, T. C. Richmond, and, G. W. Yohe, chap. 2, pp. 19-67, U.S. Global Change Res. Program, Washington, DC, doi: 10.7930/J0KW5CXT.
80. Zhang, Y.-K., and, K. E. Schilling, (2006), Increasing streamflow and baseflow in Mississippi River since the 1940s: Effect of land use change, J. Hydrol., 324 (1-4), 412-422, doi: 10.1016/j.jhydrol.2005.09.033.