Environmental drivers of fish functional diversity and composition in the Lower Colorado River Basin

Canadian Journal of Fisheries and Aquatic Sciences

Volumn 67, Issue 11, 2010, Pages 1791-1807

  Pool, Thomas K ^a   Olden, Julian D ^a   Whittier, Joanna B ^b,c   Paukert, Craig P ^b,c  

^a UNIVERSITY OF WASHINGTON   (United States)

^b KANSAS STATE UNIVERSITY   (United States)

^c UNIVERSITY OF MISSOURI   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOGEOGRAPHY; COMMUNITY COMPOSITION; DAM; ENDEMIC SPECIES; ENVIRONMENTAL GRADIENT; FISH; FRESHWATER ENVIRONMENT; FUNCTIONAL GROUP; HABITAT CONSERVATION; HUMAN ACTIVITY; HYDROLOGICAL CHANGE; LAND USE CHANGE; LIFE HISTORY; NATIVE SPECIES; PRECIPITATION (CLIMATOLOGY); REGIONAL CLIMATE; RIVER BASIN; TAXONOMY; THERMAL REGIME; WATERSHED;

COLORADO BASIN [NORTH AMERICA];

PISCES;

EID: 78149430172     PISSN: 0706652X     EISSN: 12057533     Source Type: Journal    
DOI: 10.1139/F10-095     Document Type: Article

References (84)

1. Anderson, D.R., and Burnham, K.P. 2002. Avoiding pitfalls when using information-theoretic methods. J. Wildl. Manage. 66(3): 912-918. doi:10.2307/3803155.
2. Angermeier, P.L., Wheeler, A.P., and Rosenberger, A.E. 2004. A conceptual framework for assessing impacts of roads on aquatic biota. Fisheries, 29(12): 19-29. doi:10.1577/1548-8446(2004) 29[19:ACFFAI]2.0.CO;2.
3. Barber, C.B., Dobkin, D.P., and Huhdanpaa, H.T. 1996. The Quickhull algorithm for convex hulls. ACM Trans. Math. Softw. 22(4): 469-483. doi:10.1145/235815.235821.
4. Borcard, D., Legendre, P., and Drapeau, P. 1992. Partialling out the spatial component of ecological variation. Ecology, 73(3): 1045-1055. doi:10.2307/1940179.
5. Brown, L.R., and Ford, T. 2002. Effects of flow on the fish communities of a regulated California river: implications for managing native fishes. River Res. Appl. 18(4): 331-342. doi:10.1002/rra.673.
6. Carlson, C.A., and Muth, R.T. 1989. The Colorado River: lifeline of the American Southwest. Spec. Publ. Fish. Aquat. Sci. 106: 220-239.
7. Cowley, D.E. 2006. Strategies for ecological restoration of the Middle Rio Grande in New Mexico and recovery of the endangered Rio Grande silvery minnow. Rev. Fish. Sci. 14(1-2): 169-186. doi:10.1080/10641260500341619.
8. Cowley, D.E., Wissmar, R.C., and Sallenave, R. 2007. Fish assemblages and seasonal movements of fish in irrigation canals and river reaches of the middle Rio Grande, New Mexico (USA). Ecol. Freshw. Fish, 16(4): 548-558. doi:10.1111/j.1600-0633. 2007.00250.x.
9. Fagan, W.F., Unmack, P.J., Burgess, C., and Minckley, W.L. 2002. Rarity, fragmentation, and extinction risk in desert fishes. Ecology, 83(12): 3250-3256. doi:10.1890/0012-9658(2002)083[3250: RFAERI]2.0.CO;2.
10. Fagan, W.F., Kennedy, C.M., and Unmack, P.J. 2005a. Quantifying rarity, losses, and risks for native fishes of the lower Colorado River Basin: implications for conservation listing. Conserv. Biol. 19(6): 1872-1882. doi:10.1111/j.1523-1739.2005.00215.x.
11. Fagan, W.F., Aumann, C., Kennedy, C.M., and Unmack, P.J. 2005b. Rarity, fragmentation, and the scale dependence of extinction risk in desert fishes. Ecology, 86(1): 34-41. doi:10.1890/04-0491.
12. Fradkin, P. 1981. A river no more, the Colorado River and the West. Alfred A Knopf, New York. 1803
13. Gauch, H.G. 1982. Noise-reduction by eigenvector ordinations. Ecology, 63(6): 1643-1649. doi:10.2307/1940105.
14. Gido, K.B., and Brown, J.H. 1999. Invasion of North American drainages by alien fish species. Freshw. Biol. 42(2): 387-399. doi:10.1046/j.1365-2427.1999.444490.x.
15. Gido, K.B., and Propst, D.L. 1999. Habitat use and association of native and nonnative fishes in the San Juan River, New Mexico and Utah. Copeia, 1999(2): 321-332. doi:10.2307/1447478.
16. Graf, W.L. 1999. Dam nation: a geographic census of American dams and their large-scale hydrologic impacts. Water Resour. Res. 35(4): 1305-1311. doi:10.1029/1999WR900016.
17. Graham, C.H., Ferrier, S., Huettman, F., Moritz, C., and Peterson, A.T. 2004. New developments in museum-based informatics and applications in biodiversity analysis. Trends Ecol. Evol. 19(9): 497-503. doi:10.1016/j.tree.2004.07.006. PMID: 16701313.
18. Haney, J.A., Turner, D.S., Springer, A.E., Stromberg, J.C., Stevens, L.E., Pearthree, P.A., and Supplee, V. 2008. Ecological implications of Verde River flows. A report by the Arizona Water Institute, The Nature Conservancy, and the Verde River Basin Partnership. viii 114 pp. Available from http:// azconservation.org/dl/TNCAZ_VerdeRiver_Ecological_Flows. pdf [accessed 12 June 2009].
19. Havel, J.E., Lee, C.E., and Vander Zanden, M.J. 2005. Do reservoirs facilitate invasions into landscapes? Bioscience, 55(6): 518-525. doi:10.1641/0006-3568(2005)055[0518:DRFIIL]2.0. CO;2.
20. Hawkins, C.P., Norris, R.H., Gerritsen, J., Hughes, R.M., Jackson, S.K., Johnson, R.K., and Stevenson, R.J. 2000. Evaluation of the use of landscape classifications for the prediction of freshwater biota: synthesis and recommendations. J. North Am. Benthol. Soc. 19(3): 541-556. doi:10.2307/1468113.
21. Haxton, T.J., and Findlay, C.S. 2008. Meta-analysis of the impacts of water management on aquatic communities. Can. J. Fish. Aquat. Sci. 65(3): 437-447. doi:10.1139/F07-175.
22. Hoeinghaus, D.J., Winemiller, K.O., and Birnbaum, J.S. 2007. Local and regional determinants of stream fish assemblage structure: inferences based on taxonomic vs. functional groups. J. Biogeogr. 34(2): 324-338. doi:10.1111/j.1365-2699.2006. 01587.x.
23. Irz, P., Michonneau, F., Oberdorff, T., Whittier, T.R., Lamouroux, N., Mouillot, D., and Argillier, C. 2007. Fish community comparisons along environmental gradients in lakes of France and north-east USA. Glob. Ecol. Biogeogr. 16(3): 350-366. doi:10.1111/j.1466-8238.2006.00290.x.
24. Jackson, D.A. 1993. Stopping rules in principal components analysis: a comparison of heuristical and statistical approaches. Ecology, 74(8): 2204-2214. doi:10.2307/1939574.
25. Jackson, D.A., Peres-Neto, P.R., and Olden, J.D. 2001. What controls who is where in freshwater fish communities the roles of biotic, abiotic, and spatial factors. Can. J. Fish. Aquat. Sci. 58(1): 157-170. doi:10.1139/cjfas-58-1-157.
26. Johnson, P.T.J., Olden, J.D., and Vander Zanden, M.J. 2008. Dam invaders: impoundments facilitate biological invasions into freshwaters. Front. Ecol. Environ, 6(7): 357-363. doi:10.1890/ 070156.
27. Lamouroux, N., Poff, N.L., and Angermeier, P.L. 2002. Intercontinental convergence of stream fish community traits along geomorphic and hydraulic gradients. Ecology, 83(7): 1792-1807. doi:10.1890/0012-9658(2002)083[1792:ICOSFC]2.0.CO;2.
28. Legendre, P., and Legendre, L. 1998. Numerical ecology. Elsevier Scientific, Amsterdam, The Netherlands.
29. Levick, L.R., Goodrich, D.C., Hernandez, M., Fonseca, J., Semmens, D.J., Stromberg, J., Tluczek, M., Leidy, R.A., Scianni, M., Guertin, P.D., and Kepner, W.G. 2008. The ecological and hydrological significance of ephemeral and intermittent streams in the arid and semi-arid American southwest. US Environmental Protection Agency, Washington, D.C.
30. Light, T., and Marchetti, M.P. 2007. Distinguishing between invasions and habitat changes as drivers of diversity loss among California's freshwater fishes. Conserv. Biol. 21(2): 434-446. doi:10.1111/j.1523-1739.2006.00643.x. PMID:17391193.
31. Lytle, D.A., and Poff, N.L. 2004. Adaptation to natural flow regimes. Trends Ecol. Evol. 19(2): 94-100. doi:10.1016/j.tree. 2003.10.002. PMID:16701235.
32. Marchetti, M.P., Moyle, P.B., and Levine, R. 2004. Alien fishes in California watersheds: characteristics of successful and failed invaders. Ecol. Appl. 14(2): 587-596. doi:10.1890/02-5301.
33. Mason, N.W.H., Mouillot, D., Lee, W.G., and Wilson, J.B. 2005. Functional richness, functional evenness and functional divergence: the primary components of functional diversity. Oikos, 111(1): 112-118. doi:10.1111/j.0030-1299.2005.13886.x.
34. May, J.T., and Brown, L.R. 2002. Fish communities of the Sacramento River Basin: implications for conservation of native fishes in the Central Valley, California. Environ. Biol. Fishes, 63(4): 373-388. doi:10.1023/A:1014964318485.
35. McGill, B.J., Enquist, B.J., Weiher, E., and Westoby, M. 2006. Rebuilding community ecology from functional traits. Trends Ecol. Evol. 21(4): 178-185. doi:10.1016/j.tree.2006.02.002. PMID: 16701083.
36. Meador, M.R., Brown, L.R., and Short, T. 2003. Relations between introduced fish and environmental conditions at large geographic scales. Ecol. Indic. 3(2): 81-92. doi:10.1016/S1470-160X(03)00013-X.
37. Menard, S. 1995. Applied logistic regression analysis: Sage University series on quantitative applications in the social sciences. Sage Publishing, Thousand Oaks, Calif.
38. Millennium Ecosystem Assessment. 2005. Current state and trends assessment: dryland systems. Island Press, Washington, D.C.
39. Miller, R.R. 1961. Man and the changing fish fauna of the American Southwest. Mich. Acad. Sci. Arts Lett. 46: 365-404.
40. Minckley, W.L. 1973. Fishes of Arizona. Arizona Game and Fish Department, Phoenix, Arizona.
41. Minckley, W.L., and Deacon, J.E. 1968. Southwestern fishes and the enigma of "endangered species". Man's invasion of deserts creates problems for native animals, especially for freshwater fishes. Science (Washington, D.C.), 159(3822): 1424-1432. doi:10.1126/science.159.3822.1424. PMID:5732484.
42. Minckley, W.L., Marsh, P.C., Deacon, J.E., Dowling, T.E., Hedrick, P.W., Matthews, W.J., and Mueller, G. 2003. A conservation, plan for native fishes of the Lower Colorado River. Bioscience, 53(3): 219-234. doi:10.1641/0006-3568(2003) 053[0219:ACPFNF]2.0.CO;2.
43. Moyle, P.B., and Light, T. 1996. Fish invasions in California: do abiotic factors determine success? Ecology, 77(6): 1666-1670. doi:10.2307/2265770.
44. Mueller, G.A., and Marsh, P.C. 2002. Lost, a desert river and its native fishes: a historical perspective of the Lower Colorado River. US Geological Survey USGS/BRD/ITR-2002-0010. Available from http://www.fort.usgs.gov/Products/Publications/ pub_abstract.asp?PubID=10026 [accessed 10 December 2008].
45. Multi-Resolution Land Characteristics Consortium. 2001. National Land Cover Database. EROS Data Center. Available from http://www.mrlc.gov/index.php [accessed 1 February 2009; updated 26 January 2010]
46. Naiman, R.J., Latterell, J.J., Pettit, N.E., and Olden, J.D. 2008. Flow variability and the biophysical vitality of river systems. C.R.Geosci.340(9-10):629-643.doi:10.1016/j.crte.2008.01.002.
47. O'Brien, R.M. 2007. A caution regarding rules of thumb for variance inflation factors. Qual. Quant. 41(5): 673-690. doi:10.1007/s11135-006-9018-6.
48. Olden, J.D., and Poff, N.L. 2005. Long-term trends of native and non-native fish faunas in the American Southwest. Anim. Biodivers. Conserv. 28: 75-89.
49. Olden, J.D., Poff, N.L., and Bestgen, K.R. 2006. Life-history strategies predict fish invasions and extirpations in the Colorado River Basin. Ecol. Monogr. 76(1): 25-40. doi:10.1890/05-0330.
50. Olden, J.D., Poff, N.L., and Bestgen, K.R. 2008. Trait synergisms and the rarity, extirpation, and extinction risk of desert fishes. Ecology, 89(3): 847-856. doi:10.1890/06-1864.1. PMID: 18459347.
51. Olden, J.D., Kennard, M.K., Leprieur, F., Tedesco, P.A., Winemiller, K.O., and García-Berthou, E. 2010. Conservation biogeography of freshwater fishes: recent progress and future challenges. Div. Dist. 16(3): 496-513. doi:10.1111/j.1472-4642. 2010.00655.x.
52. Olson, D.M., and Dinerstein, E. 1998. The global 2000: a representation approach to conserving the earth's most biologically valuable ecoregions. Conserv. Biol. 12(3): 502-515. doi:10.1046/j. 1523-1739.1998.012003502.x.
53. Palmer, M.W. 1993. Putting things in even better order the advantages of canonical correspondence-analysis. Ecology, 74(8): 2215-2230. doi:10.2307/1939575.
54. Paukert, C.P., Pitts, K.L., Whittier, J.B., and Olden, J.D. 2010. Development and assessment of a landscape-scale ecological threat index for the Lower Colorado River Basin. Ecol. Indic. [In press.] doi:10.1016/j.ecolind.2010.05.008.
55. Pavoine, S., Vallet, J., Dufour, A.B., Gachet, S., and Daniel, H. 2009. On the challenge of treating various types of variables: application for improving the measurement of functional diversity. Oikos, 118: 391-402.
56. Petchey, O.L., and Gaston, K.J. 2006. Functional diversity: back to basics and looking forward. Ecol. Lett. 9(6): 741-758. doi:10. 1111/j.1461-0248.2006.00924.x. PMID:16706917.
57. Poff, N.L. 1997. Landscape filters and species traits: towards mechanistic understanding and prediction in stream ecology. J. North Am. Benthol. Soc. 16(2): 391-409. doi:10.2307/1468026.
58. Poff, N.L., and Allan, J.D. 1995. Functional-organization of stream fish assemblages in relation to hydrological variability. Ecology, 76(2): 606-627. doi:10.2307/1941217.
59. Propst, D.L., and Gido, K.B. 2004. Responses of native and nonnative fishes to natural flow regime mimicry in the San Juan River. Trans. Am. Fish. Soc. 133(4): 922-931. doi:10.1577/T03-057.1.
60. Propst, D.L., Gido, K.B., and Stefferud, J.A. 2008. Natural flow regimes, nonnative fishes, and native fish persistence in arid-land river systems. Ecol. Appl. 18(5): 1236-1252. doi:10.1890/07-1489.1. PMID:18686584.
61. R Development Core Team. 2007. R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Available from http://www.R-project.org.
62. Rinne, J., and Miller, D. 2006. Hydrology, geomorphology and management: implications for sustainability of native southwestern fishes. Rev. Fish. Sci. 14(1-2): 91-110. doi:10.1080/10641260500341379.
63. Schlosser, I.J. 1990. Environmental variation, life-history attributes, and community structure in stream fishes implications for environmental-management and assessment. Environ. Manage. 14(5): 621-628. doi:10.1007/BF02394713.
64. Shafroth, P.B., Wilcox, A.C., Lytle, D.A., Hickey, J.T., Anderson, D.C., Beauchamp, V.B., Hautzinger, A., McMullen, L.E., and Warner, A. 2010. Ecosystem effects of environmental flows: modeling and experimental floods in a dryland river. Freshw. Biol. 55(1): 68-85. doi:10.1111/j.1365-2427.2009.02271.x.
65. Shea, K., and Chesson, P. 2002. Community ecology theory as a framework for biological invasions. Trends Ecol. Evol. 17(4): 170-176. doi:10.1016/S0169-5347(02)02495-3.
66. Sowa, S., Diamond, D.D., Abbitt, R., Annis, G.M., Gordon, T., Morey, M.E., Sorensen, G.R., and True, D.D. 2005. A GAP analysis for riverine ecosystems of Missouri. Final Report. Final report submitted to the USGS National Gap Analysis Program, Moscow, Idaho. Available from Missouri Resource Assessment Partnership, University of Missouri, Columbia, Mo.
67. Sowa, S.P., Annis, G., Morey, M.E., and Diamond, D.D. 2007. A GAP analysis and comprehensive conservation strategy for riverine ecosystems of Missouri. Ecol. Monogr. 77(3): 301-334. doi:10.1890/06-1253.1.
68. Sponseller, R.A., and Fisher, S.G. 2006. Drainage size, stream intermittency, and ecosystem function in a Sonoran Desert landscape. Ecosystems, 9(3): 344-356. doi:10.1007/s10021-005-0167-6.
69. Stagliano, D.M. 2005. Aquatic community classification and ecosystem diversity in Montana's Missouri River watershed. Report to the Bureau of Land Management, Montana Natural Heritage Program, Helena, Mont.
70. ter Braak, C.J.F. 1986. Canonical correspondence analysis: a new eigenvector technique for multivariate direct gradient analysis. Ecology, 67(5): 1167-1179. doi:10.2307/1938672.
71. ter Braak, C.J.F. 1988. Classification and related methods of data analysis. Edited by H.H. Bock. North-Holland, Amsterdam, The Netherlands. pp. 551-558.
72. United States Army Corps of Engineers. 2007. National inventory of dams. Washington, D.C. Available from http://www.nicar. org/data/dams [accessed 10 February 2009].
73. United States Department of Agriculture - National Resources Conservation Service. 2007. PRISM Climate Mapping Project - precipitation. Mean monthly and annual precipitation digital files for the continental U.S. USDA-NRCS National Cartogra-phy and Geospatial Center, Ft. Worth, Tex. http://www.wcc. nrcs.usda.gov/climate/prism.html [accessed 1 December 2008].
74. United States Fish and Wildlife Service. 1999. Endangered and threatened wildlife and plants. 50 CFR 17.11 and 17.12. US Fish and Wildlife Service, Washington, D.C.
75. United States Geological Survey. 2004. National elevation dataset. EROS Data Center, National Mapping Division, US Geological Survey, Sioux Falls, S.D. Available from http://eros.usgs.gov/#/ Find_Data/Products_and_Data_Available. [accessed 1 December 2008].
76. United States Geological Survey. 2005. Southwest Regional Gap Analysis Project. EROS Data Center, National Mapping Division, US Geological Survey, Sioux Falls, S.D. Available from http://fws-nmcfwru.nmsu.edu/swregap/default.htm. [accessed 1 December 2008].
77. United States Geological Survey. 2007. The National Hydrography Dataset. EROS Data Center, US Geological Survey, Sioux Falls, S.D. Available from http://nhd.usgs.gov/ [accessed 1 December 2008; updated 2 September 2010].
78. Valdez, R.A., Hoffnagle, T.L., McIvor, C.C., McKinney, T., and Leibfried, W.C. 2001. Effects of a test flood on fishes of the Colorado River in Grand Canyon, Arizona. Ecol. Appl. 11(3): 686-700. doi:10.1890/1051-0761(2001)011[0686:EOATFO]2.0. CO;2.
79. Villéger, S., Mason, N.W.H., and Mouillot, D. 2008. New multidimensional functional diversity indices for a multifaceted framework in functional ecology. Ecology, 89(8): 2290-2301. doi:10. 1890/07-1206.1. PMID:18724739.
80. Wheeler, A.P., Angermeier, P.L., and Rosenberger, A.E. 2005. Impacts of new highways and subsequent landscape urbanization on stream habitat and biota. Rev. Fish. Sci. 13(3): 141-164. doi:10.1080/10641260590964449.
81. Whitford, W.G. 2002. Ecology of desert systems. Academic Press, San Diego, Calif.
82. Whittier, J.B., Paukert, C.P., and Gido, K. 2006. Development of an aquatic GAP for the Lower Colorado River Basin. Gap Anal. Bull. No. 14 USGS/BRD/Gap Analysis Program. Moscow, Idaho.
83. Williams, W.D. 1999. Conservation of wetlands in drylands: a key global issue. Aquat. Conserv. Mar. Freshwat. Ecosyst. 9(6): 517-522. doi:10.1002/(SICI)1099-0755(199911/12)9:6<517::AID-AQC383>3.0.CO;2 -C.
84. Winemiller, K.O. 2005. Life history strategies, population regulation, and implications for fisheries management. Can. J. Fish. Aquat. Sci. 62(4): 872-885. doi:10.1139/f05-040.