Abstract
Stream fish bioassessment methods assume that fish assemblages observed in sample sites reflect responses to local stressors, but fish assemblages are influenced by local factors as well as regional dispersal to and from connected streams. We hypothesized that fish movement to and from refugia and source populations in connected rivers (i.e., riverine dispersal) would weaken or decouple relations between fish community metrics and local environmental conditions. We compared fish-environment relations between streams that flow into large rivers (mainstem tributaries) and streams that lack riverine confluences (headwater tributaries) at multiple spatial grains using data from the USEPA’s Environmental Monitoring and Assessment Program in the mid-Atlantic highlands, USA (n = 157 sites). Headwater and mainstem tributaries were not different in local environmental conditions, but showed important differences in fish metric responses to environmental quality gradients. Stream sites flowing into mainstem channels within 10 fluvial km showed consistently weaker relations to local environmental conditions than stream sites that lacked such mainstem connections. Moreover, these patterns diminished at longer distances from riverine confluences, consistent with the hypothesis of riverine dispersal. Our results suggest that (1) the precision of fish bioassessment metrics may be improved by calibrating scoring criteria based on the spatial position of sites within stream networks and (2) the spatial grain of fish bioassessment studies may be manipulated to suit objectives by including or excluding fishes exhibiting riverine dispersal.
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References
Angermeier PL, Smogor RA, Stauffer JR (2000) Regional frameworks and candidate metrics for assessing biotic integrity in mid-Atlantic highland streams. Transactions of the American Fisheries Society 129:962–981
Bailey RC, Reynoldson TB, Yates AG, Bailey JB, Linke S (2007) How bioassessment of streams integrated with landscape ecology can inform landuse planning. Freshwater Biology 52:908–917
Balon EK (1981) Additions and amendments to the classification of reproductive styles in fishes. Environmental Biology of Fishes 6:377–389
Barbour MT, Gerritsen J, Snyder BD, Stribling JB (1999) Rapid Bioassessment Protocols for Use in Streams and Wadeable Rivers: Periphyton, Benthic Macroinvertebrates, and Fish. USEPA, Washington, DC, pp 339
Bramblett RG, Johnson TR, Zale AV, Heggem DG (2005) Development and evaluation of a fish assemblage index of biotic integrity for northwestern great plains streams. Transactions of the American Fisheries Society 134:624–640
Bray JR, Curtis JT (1957) An ordination of the upland forest communities of Wisconsin. Ecological Monographs 27:325–349
Bryce SA, Larsen DP, Hughes RM, Kaufmann PR (1999) Assessing relative risks to aquatic ecosystems: a mid-Appalachian case study. Journal of American Water Research Association 35:23–36
Campbell-Grant EH, Lowe WH, Fagan WF (2007) Living in the branches: population dynamics and ecological processes in dendritic networks. Ecology Letters 10:165–175
Clinton BD, Vose JM (2006) Variation in stream water quality in an urban headwater stream in the southern Appalachians. Water, Air, and Soil Pollution 169:331–353
Cyterski M, Barber C (2006) Identification and prediction of fish assemblages in streams of the mid-Atlantic highlands, USA. Transactions of the American Fisheries Society 135:40–48
Davis W, Scott J (2000) Mid-Atlantic highlands streams assessment: technical support document. Region 3, U.S. Environmental Protection Agency, Ft. Meade, Maryland, pp 113
Detenbeck N, Cincotta DA, Denver JM, Greenlee SK, Olsen AR, Pitchford AM (2005) Watershed-based survey designs. Environmental Monitoring and Assessment 103:59–81
Dow CL, Arscott DB, Newbold JD (2006) Relating major ions and nutrients to watershed conditions across a mixed-use, water-supply watershed. Journal of the North American Benthological Society 25:887–911
Etnier DA, Starnes WC (1993) The Fishes of Tennessee. University of Tennessee Press, Knoxville, Tennessee, pp 689
Fagan WF (2002) Connectivity, fragmentation, and extinction risk in dendritic metapopulations. Ecology 83:3243–3249
Fagan WF, Aumann C, Kennedy CM, Unmack PJ (2005) Rarity, fragmentation, and the scale dependence of extinction risk in desert fishes. Ecology 86:34–41
Fausch KD, Torgersen CE, Baxter CV, Li HW (2002) Landscapes to riverscapes: Bridging the gap between research and conservation of stream fishes. BioScience 52:483–498
Fraser DF, Gilliam JF, Daley MJ, Le AN, Skalski GT (2001) Explaining leptokurtic movement distributions: intrapopulation variation in boldness and exploration. The American Naturalist 158:124–135
Freeman MC, Marcinek PA (2006) Fish assemblage responses to water withdrawals and water supply reservoirs in Piedmont streams. Environmental Management 38:435–450
Freeman PL, Schorr MS (2004) Influence of watershed urbanization on fine sediment and macroinvertebrate assemblage characteristics in Tennessee Ridge and Valley streams. Journal of Freshwater Ecology 19:353–362
Gorman OT (1986) Assemblage organization of stream fishes: the effect of adventitious streams. The American Naturalist 128:611–616
Goslee S, Urban D (2006) ecodist: Dissimilarity-based functions for ecological analysis. R package (version 1.01)
Grenouillet G, Pont D, Herisse C (2004) Within-basin fish assemblage structure: the relative influence of habitat versus stream spatial position on local species richness. Canadian Journal of Fisheries and Aquatic Sciences 61:93–102
Guenther CB, Spacie A (2006) Changes in fish assemblage structure of impoundments within the upper Wabash River basin, Indiana. Transactions of the American Fisheries Society 135:570–583
Hack JT (1957) Studies of stream profiles in Virginia and Maryland. U.S. Geological Survey, Washington, DC, pp 97
Hering D, Johnson RK, Framm S, Schmutz S, Szoszkiewicz K, Verdonschot PFM (2006) Assessment of European streams with diatoms, macrophytes, macroinvertebrates and fish: a comparative metric-based analysis of organism response to stress. Freshwater Biology 51:1757–1785
Herlihy AT, Stoddard JL, Johnson CB (1998) The relationship between stream chemistry and watershed land cover data in the mid-Atlantic region, U.S. Water, Air, and Soil Pollution 105:377–386
Herlihy AT, Larsen DP, Paulsen SG, Urquhart NS, Rosenbaum BJ (2000) Designing a spatially balanced, randomized site selection process for regional stream surveys: the EMAP mid-Atlantic pilot study. Environmental Monitoring and Assessment 63:95–113
Hitt NP (2007) Effects of stream network topology on fish assemblage structure and bioassessment sensitivity in the mid-Atlantic highlands, USA. Ph.D. Dissertation. Department of Fisheries and Wildlife Sciences, Virginia Tech. Blacksburg, Virginia, 261 pp
Hitt NP, Angermeier PL (2006) Effects of adjacent streams on local fish assemblage structure in western Virginia: implications for biomonitoring. American Fisheries Society Symposium 48:75–86
Hitt NP, Angermeier PL (2008). Evidence for fish dispersal from spatial analysis of stream network topology. J North Am Benthol Soc, in press
Hitt NP, Frissell CA, Muhlfeld CC, Allendorf FW (2003) Spread of hybridization between native westslope cutthroat trout, Oncorhynchus clarki lewisi, and nonnative rainbow trout, Oncorhynchus mykiss. Canadian Journal of Fisheries and Aquatic Science 60:1440–1451
Hughes RM, Gammon JR (1987) Longitudinal changes in fish assemblages and water quality in the Willamette River, Oregon. Transactions of the American Fisheries So 116:196–209
Jenkins RE, Burkhead NM (1994) Freshwater Fishes of Virginia. American Fisheries Society, Bethesda, Maryland, pp 1079
Jones KB, Neale AC, Wade TG, Wickham JD, Cross CL, Edmonds CM, Loveland TR, Nash MS, Riitters KH, Smith ER (2001) The consequences of landscape change on ecological resources: an assessment of the United States mid-Atlantic region, 1973–1993. Ecosystem Health 7:229–242
Karr JR, Chu EW (2000) Sustaining living rivers. Hydrobiologia 422/423:1–14
Karr JR, Fausch KD, Angermeier PL, Yant PR, Schlosser IJ (1986) Assessing biological integrity in running waters: a method and its rationale. Illinois Natural History Survey, Special Publication 5, Champaign, Illinois
Kennard MJ, Arthington AH, Pusey BJ, Harch BD (2005) Are alien fish a reliable indicator of river health? Freshwater Biology 50:174–193
King RS, Baker ME, Whigham DF, Weller DE, Jordan TE, Kazyak PF, Hurd MK (2005) Spatial considerations for linking watershed land cover to ecological indicators in streams. Ecological Applications 15:137–153
Kruskal JB (1964) Nonmetric multidimensional scaling: a numerical method. Psychometrika 29:115–129
Lamouroux N, Olivier J, Capra H, Zylberblat M, Chandesris A, Roger P (2006) Fish community changes after minimum flow increase: testing quantitative predictions in the Rhone River at Pierre-Be´nite, France. Freshwater Biology 51:1730–1743
Lazorchak JM, Klemm DJ, Peck DV (1998) Environmental Monitoring and Assessment Program - Surface Waters: Field Operations and Methods for Measuring the Ecological Condition of Wadeable Streams. U.S. Environmental Protection Agency, EPA-620-R-94–004-F
Lee DS, Gilbert CR, Hocutt CH, Jenkins RE, McAllister DE, Stauffer JC (1980) Atlas of North American Freshwater Fishes. North Carolina State Museum of Natural History, Raleigh, North Carolina, pp 854
Linke S, Norris RK, Faith DP, Stockwell D (2005) ANNA: A new prediction method for bioassessment programs. Freshwater Biology 50:147–158
Mantel N (1967) The detection of disease clustering and a generalized regression approach. Cancer Research 27:209–220
Matthews WJ, Robison HW (1998) Influence of drainage connectivity, drainage area, and regional species richness on fishes of the interior highlands in Arkansas. The American Midland Naturalist 139:1–19
McCormick FH, Hughes RM (1998) Aquatic Vertebrates. In Lazorchak JM, Klemm DJ, Peck DV (eds) Environmental Monitoring and Assessment Program - Surface Waters: Field Operations and Methods for Measuring the Ecological Condition of Wadeable Streams. Environmental Protection Agency, EPA-620-R-94–004-F pp 161–182
McCormick FH, Hughes RM, Kaufmann PR, Peck DV, Stoddard JL, Herlihy AT (2001) Development of an Index of Biotic Integrity for the mid-Atlantic highlands region. Transactions of the American Fisheries Society 130:857–877
McCune B, Grace JB (2002) Analysis of Ecological Communities. MjM Software Design, Gleneden Beach, Oregon
Minchin PR (1987) An evaluation of the relative robustness of techniques for ecological ordination. Vegetatio 69:89–107
Mugodo J, Kennard MJ, Liston P, Nichols S, Linke S, Norris RH, Lintermans M (2006) Local stream habitat variables predicted from catchment scale characteristics are useful for predicting fish distribution. Hydrobiologia 572:59–70
Oberdorff T, Pont D, Hugueny B, Chessel D (2001) A probabilistic model characterizing fish assemblages of French rivers: a framework for environmental assessment. Freshwater Biology 46:399–415
Osborne LL, Wiley MJ (1992) Influence of tributary spatial position on the structure of warmwater fish communities. Canadian Journal of Fisheries and Aquatic Sciences 49:671–681
Osborne LL, Kohler SL, Bayley PB, Day DM, Bertrand WA, Wiley MJ, Sauer R (1992) Influence of stream location in a drainage network on the index of biotic integrity. Transactions of the American Fisheries Society 121:635–643
Platts WS, Megahan WF, Minshall GW (1983) Methods for Evaluating Stream, Riparian, and Biotic Conditions. U.S. Department of Agriculture, Forest Service, Washington, DC, pp 71
Pont D, Hugueny B, Beier U, Goffaux D, Melcher A, Noble R, Rogers C, Roset N, Schmutz S (2006) Assessing river biotic condition at a continental scale: a European approach using functional metrics and fish assemblages. The Journal of Applied Ecology 43:70–80
Rahel FJ, Hubert WA (1991) Fish assemblages and habitat gradients in a Rocky Mountain-Great Plains stream: biotic zonation and additive patterns of community change. Transactions of the American Fisheries Society 120:319–332
Roth NE, Southerland MT, Chaillou J, Kazyak PF, Stranko SA (2000) Refinement and validation of a fish index of biotic integrity for Maryland streams. Maryland Department of Natural Resources, Annapolis, Maryland
Schaefer JF, Kerfoot JR (2004) Fish assemblage dynamics in an adventitious stream: a landscape perspective. The American Midland Naturalist 151:134–145
Schlosser IJ (1990) Environmental variation, life history attributes, and community structure in stream fishes: implications for environmental management and assessment. Environmental Management 14:621–628
Smith TA, Kraft CE (2005) Stream fish assemblages in relation to landscape position and local habitat variables. Transactions of the American Fisheries Society 134:430–440
Smogor RA, Angermeier PL (1999a) Effects of drainage basin and anthropogenic disturbance on relations between stream size and IBI metrics in Virginia. In: Simon TP (ed) Assessing the sustainability and biological integrity of water resources using fish communities. CRC Press, Boca Raton, Florida, pp 249–272
Smogor RA, Angermeier PL (1999b) Relations between fish metrics and measures of disturbance in three IBI regions in Virginia. In: Simon TP (ed) Assessing the sustainability and biological integrity of water resources using fish communities. CRC press, Boca Raton, Florida, pp 585–610
Snyder CD, Young JA, Villella R, Lemarie DP (2003) Influences of upland and riparian land use patterns on stream biotic integrity. Landscape Ecology 18:647–664
Stewart JS, Wang L, Lyons J, Horwatich JA, Bannerman R (2001) Influences of watershed, riparian-corridor, and reach-scale characteristics on aquatic biota in agricultural watersheds. Journal of American Water Research Association 37: 1475–1487
Sutherland AB, Meyer JL, Gardiner EP (2002) Effects of land cover on sediment regime and fish assemblage structure in four southern Appalachian streams. Freshwater Biology 47:1791–1805
Vannote RL, Minshall GW, Cummins KW, Sedell JR, Cushing CE (1980) The river continuum concept. Canadian Journal of Fisheries and Aquatic Sciences 37:130–137
Vondracek B, Blann KL, Cox CB, Nerbonne JF, Mumford KG, Nerbonne BA, Sovell LA, Zimmerman JKH (2005) Land use, spatial scale, and stream systems: lessons from an agricultural region. Environmental Management 36:775–791
Walters DM, Leigh DS, Bearden AB (2003) Urbanization, sedimentation, and the homogenization of fish assemblages in the Etowah River Basin, USA. Hydrobiologia 494:5–10
Wang L, Lyons J, Kanehl P, Gatti R (1997) Influences of watershed land use on habitat quality and biotic integrity in Wisconsin streams. Fisheries 22:6–12
Wiens JA (2001) The landscape context of dispersal. In: Clobert J, E Danchin E, Dhondt AA, Nichols JD (eds) Dispersal. Oxford University Press, United Kingdom, pp 96–109
Wilkinson CD, Edds D (2001) Spatial pattern and environmental correlates of a midwestern stream fish community: including spatial autocorrelation as a factor in community analyses. The American Midland Naturalist 146:271–289
Winston MR, Taylor CM, Pigg J (1991) Upstream extirpation of four minnow species due to damming of a prairie stream. Transactions of the American Fisheries Society 120:98–105
Wolman MG (1954) A method for sampling coarse river-bed material. Trans American Geophysical Union 35:951–956
Wright KK, Li JL (2002) From continua to patches: examining stream community structure over large environmental gradients. Canadian journal of fisheries and aquatic sciences 59:1404–1417
Yoder CO, Rankin ET (1998) The role of biological indicators in a state water quality management process. Environmental Monitoring and Assessment 51:61–88
Yuan LL, Norton SB (2003) Comparing responses of macroinvertebrate metrics to increasing stress. Journal of the North American Benthological Society 22:308–322
Acknowledgments
We thank R. Betz, A. Dolloff, P. Flebbe, C. Heatwole, S. Sowa, R. Voshell, and C. Zipper for assistance in developing this research and reviewing previous manuscripts. We also thank two anonymous referees for their assistance. This work was supported by a Cunningham Fellowship (Virginia Polytechnic Institute and State University), the USEPA National Network for Environmental Management Studies, the USEPA Office of Water (Assessment and Watershed Protection Program Grants; X7-83256601), and the USEPA Science to Achieve Results program (RD-831368010).
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Virginia Cooperative Fish and Wildlife Research Unit—This Unit is jointly sponsored by the US Geological Survey, Virginia Polytechnic Institute and State University, Virginia Department of Game and Inland Fisheries, and Wildlife Management Institute.
Appendix
Appendix
Fish species classifications for metric calculations. Reproductive (Repro.) guilds are designed as: NL = nonlithophil, SL = simple lithophil, NSL = nonsimple lithophil (i.e., mineral substrate spawning with nest preparation and/or parental care). Trophic guilds are indicated as: INV = invertivore, IP = invertivore-piscivore, OH = omnivore-herbivore, and PIS = piscivore. Tolerance levels are indicated as: TOL = tolerant species and INT = intolerant species
Scientific name | Repro. Guilda | Trophic guildb | Tolerancec | Riverine specialistd |
---|---|---|---|---|
Anguillidae | ||||
Anguilla rostrata | IP | |||
Atherinidae | ||||
Labidesthes sicculus | NL | INV | + | |
Catostomidae | ||||
Catostomus commersoni | SL | OH | TOL | |
Erimyzon oblongus | NSL | INV | ||
Hypentelium nigricans | SL | INV | ||
Ictiobus bubalus | NLe | INVe | + | |
Moxostoma cervinum | SL | INV | ||
M. duquesnei | SL | INV | ||
M. erythrurum | SL | INV | ||
M. macrolepidotum | SL | INV | + | |
Thoburnia rhothoeca | SL | OH | INT | |
Centrarchidae | ||||
Ambloplites rupestris | NSL | IP | ||
Lepomis auritus | NSL | IP | ||
L. cyanellus | NL | IP | TOL | |
L. gibbosus | NL | INV | ||
L. gulosus | NL | IP | ||
L. macrochirus | NL | INV | TOL | |
L. megalotis | NSL | INV | + | |
Micropterus dolomieu | NSL | IP | ||
M. punctulatus | NL | IP | + | |
M. salmoides | NL | PIS | ||
Pomoxis annularis | NL | IP | + | |
P. nigromaculatus | NL | IP | ||
Clupeidae | ||||
Dorosoma cepedianum | NL | OH | TOL | + |
Cottidae | ||||
Cottus baileyi | NL | INV | ||
C. bairdi | NL | INV | ||
C. cognatus | NL | INV | ||
C. carolinae | NL | INV | ||
C. girardi | NL | INV | ||
Cyprinidae | ||||
Campostoma anomalum | NSL | OH | ||
Clinostomus elongatus | SL | INVf | ||
C. funduloides | SL | INV | ||
Cyprinella galactura | NL | INV | ||
C. spiloptera | NL | INV | + | |
Cyprinus carpio | NL | OH | TOL | + |
Erimystax insignis | SL | OH | ||
Exoglossum laurae | NSL | INV | ||
E. maxillingua | NSL | INV | ||
Hybopsis amblops | SL | INV | INT | |
Luxilus albeolus | SL | INV | ||
L. cerasinus | SL | INV | ||
L. chrysocephalus | SL | INV | ||
L. coccogenis | SL | INV | ||
L. cornutus | SL | INV | ||
Lythrurus ardens | SL | INV | ||
L. lirus | SL | INV | ||
Margariscus margarita | SL | INV | ||
Nocomis leptocephalus | NSL | OH | ||
N. micropogon | NSL | INV | ||
N. platyrhynchus | NSL | INV | + | |
N. raneyi | NSL | INV | + | |
Notemigonus crysoleucas | NL | OH | TOL | |
Notropis amoenus | SL | INV | + | |
N. atherinoides | NL | INV | + | |
N. bifrenatus | NL | INV | ||
N. buccatus | SL | OH | ||
N. hudsonius | NL | INV | ||
N. leuciodus | SL | INV | ||
N. photogenis | SL | INV | + | |
N. procne | SL | INV | ||
N. rubellus | SL | INV | + | |
N. rubricroceus | SL | INV | ||
N. scabriceps | SL | INV | ||
N. stramineus | SL | INV | + | |
N. telescopus | SL | INV | ||
N. volucellus | NL | INV | + | |
Phenacobius teretulus | SL | INV | ||
P. uranops | SL | INV | + | |
Phoxinus erythrogaster | SLe | OHe | ||
P. oreas | SL | OH | ||
P. tennesseensis | SL | OH | ||
Pimephales notatus | NL | OH | TOL | |
P. promelas | NL | OH | TOL | |
Rhinichthys atratulus | SL | INV | TOL | |
R. cataractae | SL | INV | ||
Semotilus atromaculatus | NSL | IP | TOL | |
S. corporalis | NSL | IP | + | |
Esocidae | ||||
Esox americanus | NL | PIS | ||
E. niger | NL | PIS | ||
Fundulidae | ||||
Fundulus catenatus | SL | INV | + | |
F. diaphanus | NL | INV | ||
Ictaluridae | ||||
Ameiurus natalis | NL | IP | ||
A. nebulosus | NL | OH | ||
Ictalurus punctatus | NL | IP | + | |
Noturus flavus | NSL | INV | + | |
N. gilberti | NSL | INV | ||
N. insignis | NSL | INV | ||
Pylodictis olivaris | NSL | IP | + | |
Lepisosteidae | ||||
Lepisosteus osseus | NL | PIS | + | |
Percidae | ||||
Etheostoma caeruleum | SL | INV | ||
E. camurum | NSL | INV | INTe | + |
E. blennioides | NL | INV | + | |
E. flabellare | NSL | INV | TOL | |
E. kanawhae | SL | INV | ||
E. longimanum | NSL | INV | ||
E. nigrum | NL | INV | TOL | |
E. olmstedi | NL | INV | TOL | |
E. osburni | SL | INV | INT | |
E. rufilineatum | SL | INV | ||
E. simoterum | NL | INV | ||
E. stigmaeum | NSL | INV | + | |
E. swannanoa | SL | INV | ||
E. variatum | SL | INV | INT | |
E. zonale | NL | INV | + | |
Percina burtoni | SL | INV | + | |
P. caprodes | SL | INV | + | |
P. evides | NSL | INV | INT | + |
P. gymnocephala | SL | INV | + | |
P. macrocephala | SLg | INV | INTg | |
P. peltata | SL | INV | ||
Sander canadense | SL | PIS | + | |
S. vitreus | SL | PIS | + | |
Percopsidae | ||||
Percopsis omiscomaycus | SL | OH | + | |
Petromyzontidae | ||||
Lampetra aepyptera | SL | OH | ||
L. appendix | SL | OH | ||
Salmonidae | ||||
Oncorhynchus mykiss | NSL | IP | ||
Salmo trutta | NSL | IP | ||
Salvelinus fontinalis | NSL | IP | INT | |
Sciaenidae | ||||
Aplodinotus grunniens | NL | INV | + |
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Hitt, N.P., Angermeier, P.L. River-Stream Connectivity Affects Fish Bioassessment Performance. Environmental Management 42, 132–150 (2008). https://doi.org/10.1007/s00267-008-9115-5
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DOI: https://doi.org/10.1007/s00267-008-9115-5