Periphyton Christine l. Weilhoefer


Experimental Design, Data Analysis



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Experimental Design, Data Analysis,

Statistical, and Modeling Techniques
Affleck, D.L.R.; Gregoire, T.G.; Valentine, H.T. 2005 Design unbiased estimation in line intersect sampling using segmented transects. Environ. Ecol. Stat. 12(2):139-154.

Ãamdeveren, H.; Demer, N; Kanik, A; Kesken, S. 2005. Use of principal component scores in multiple linear regression models for prediction of chlorophyll-a in reservoirs. Ecol. Model. 181(4):581-589.

Anderson, M.J.; Connel, S.D.; Gillanders, B.M.; Diebel, C.E.; Blom, W.M.; Saunders, J.E.; Landers, T.J. 2005. Relationship between taxonomic resolution and spatial scales of multivariate variation. J. Anim. Ecol. 74(4): 636-646.

Argaez, J.A.; Andracs Christen, J.; Nakamura, M.; Sober, Ã. N J. 2005. Prediction of potential areas of species distributions based on presence-only data. Environ. Ecol. Stat. 12(1):27-44.

Benedetti-Cecchi, L. 2005. The importance of the variance around the mean effect size of ecological processes: reply. Ecology 86(1): 265-268.

Blukaez, E.A.; Sprules, W.G.; Brunner, J. 2005. Use of the bootstrap for error propagation in estimating zooplankton production. Ecology 86(8): 2223-2231.

Chao, A.; Chazdon, R.L.; Colwell, R.K.; Shen, T.J. 2005. A new statistical approach for assessing similarity of species composition with incidence and abundance data. Ecol. Letters. 8(2): 148-159.

Conner, L.M.; Smith, M.D.; Burger Jr., L.W. 2005. A comparison of distance based and classification-based analyses of habitat use: reply. Ecology 86(11): 3125-3129.

Coulson, T.; Gaillard, J.M.; Festa-Bianchet, M. 2005. Decomposing the variation in population growth into contributions from multiple demographic rates. J. Anim. Ecol. 74(4): 789-802.

Cunnigham, R.B.; Lindenmayer, D.B. 2005. Modeling count data of rare species: some statistical issues. Ecology 86(5): 1135-1142.

Danz, N.P; Regal, R.R; Niemi, G.J; et al. 2005. Environmentally stratified sampling design for the development of Great Lakes environmental indicators. Environ. Monit. Assess. 102(1-3):41-65.

Davies-Colley, R.J.; Rutherford, J.C. 2005. Some approaches for measuring and modelling riparian shade. Ecol. Engin. 24(5):525-530.

De Solla, Shane R.; Shirose, Leonard J.; Fernie, Kim J.; Barrett, Glenn C.; Brousseau, Chris S.; Bishop, Christine A. 2005. Effect of sampling effort and species detectability on volunteer based anuran monitoring programs. Biol. Cons. 121(4): 585-594.

Dixon, P.M.; Ellison, A.M.; Gotelli, N.J. 2005. Improving the precision of estimates of the frequency of rare events. Ecology 86(5):1114-1123.

Doak, D.F.; Gross, K. Morris, W.F. 2005. Understanding and predicting the effects of sparse data on demographic analysis. Ecology 86(5): 1154-1163.

Dodkins, I.; Rippey, B.; Hale, P. 2005. An application of canonical correspondence analysis for developing ecological quality assessment metrics for river macrophytes. Freshwater Biol. 50(5): 891-904.

Dolbeth, M.; Lilleba, A.I.; Cardoso, P.G.; Ferreira, S.M.; Pardal, M.A. 2005. Annual production of estuarine fauna in different environmental conditions: An evaluation of the estimation methods. J. Exper. Mar. Biol. Ecol. 326(2):115-127.

Dussault, C.; Ouellet, J.-P. and Courtois, R. 2005. A comparison of distance based and classification-based analyses of habitat use: comment. Ecology 86(11): 3119-3125.

Dytham, C. 2003. Choosing and Using Statistics: a Biologist’s Guide. Blackwell Publishing, Oxford, UK, 248pp.

Edwards Jr., T.C.; Cutler, D.R.; Zimmerman, N. E.; Geiser, L.; Alegria, J. 2005. Model based stratification for enhancing the detection of rare ecological events. Ecology 86(5): 1081-1090.

Elith, J.; Ferrier, S.; Huettmann, F.; Leathwick, J. 2005. The evaluation strip: A new and robust method for plotting predicted responses from species distribution models. Ecol. Model. 186(3): 280-289.

Etienne, R.S. 2005. A new sampling formula for neutral biodiversity. Ecol. Letters 8(3): 253-269.

Fattorni, S. 2005. A simple method to fit geometric series and broken stick model in community ecology and island biogeography. Acta Oecol. 28(3): 199-205.

Fletcher, D.; MacKenzie, D.; Villouta, E. 2005. Modelling skewed data with many zeros: A simple approach combining ordinary and logistic regression. Environ. Ecol. Stat. 12(1): 45-54.

Gabriel, J.; Saucy, F.; Bersier, L. 2005. Paradoxes in the logistic equation? Ecol. Model. 185(1): 147-151.

Gray, B.R. 2005. Selecting a distributional assumption for modelling relative densities of benthic macroinvertebrates. Ecolog. Model. 185(1): 1-12.

Grizzetti, B.; Bouraoui, F.; de Marsily, G.; Bidoglio, G. 2005. A statistical method for source apportionment of riverine nitrogen loads. J. of Hydrol. 304(1-4):302-315.

Habeeb, R.L.; Trebilco, J.; Wotherspoon, S.; Johnson, C.R. 2005. Determining natural scales of ecological systems. Ecol. Monogr. 75(4): 467-487.

Haining, R.; 2003. Spatial Data Analysis: Theory and Practice, Cambridge University Press, Cambridge, 432 pp.

Hamilton, A.J. 2005. Species diversity or biodiversity? J. Environ. Managem. 75(1): 89-92.

He, F.; Hu, X.S. 2005. Hubbels fundamental biodiversity parameter and the Simpson diversity index. Ecol. Letters 8(4): 386-390.

Heino, J.; Soininen, J.; Lappalainen, J.; Virtanen, R. 2005. The relatonship between species richness and taxonomic distinctness in freshwater organisms. Limnol. Ocenogr. 50(3): 978-986.

Henderson, P.A.2003. Practical Methods in Ecology, Blackwell Sciences, Oxford, UK. 163 pp.

Inouye, B.D. 2005. The importance of the variance around the mean effect size of ecological processes: comment. Ecology 86(1): 262-265.

Jetz, W.; Rahbek, C. Lichstein, J.W. 2005. Local and global approaches data analysis in ecology. Glob. Ecol. & Biogeog. 14(1): 97-98.

Kalinowski, S.T.; Taper, M.L. 2005. Likelihood-based confidence intervals of relative fitness for a common experimental design. Can. J. Fish. Aquat. Sci. 62(3): 693-699.

Katz, R.W.; Brush, G.S.; Parlange, M.B. 2005. Statistics of extremes: Modeling ecological disturbances. Ecology 86(5): 1124-1134.

Keylock, C.J. 2005. Simpson diversity and the Shannon-Wiener index as special cases of a generalized entropy. Oikos 109(1): 203-207.

Lee, Y.W.; Sampson, D.B. 2005. Monte Carlo evaluation of a nonlinear regression estimation for aggregate length-weight data. Can. J. Fish. Aquat. Sci. 62(2): 362-373.

Legendre, P.; Borcard, D.; Peres-Neto, P.R. 2005. Analyzing beta diversity:partitioning the spatial variation of community composition data. Ecol. Monogr. 75(4): 435-450.

Lillegråd, M.; Engen, S.; Sæther, B.E. 2005. Bootstrap methods for estimating spatial synchrony of fluctuating populations. Oikos 109(2): 342-350.

Liu.C.; Berry, P.M.; Dawson, T.P.; Pearson, R.G. 2005. Selecting thresholds of occurrence in the prediction of species distribution. Ecography 28(3): 385-343.

MacKenzie, D.I., Nichols, J.D.; Sutton, N.; Kawanishi, K., Bailey, L.L. 2005. Improving inferences in population studies of rare species that are detected imperfectly. Ecology 86(5): 1101-1113.

Magurran, A.E. 2004. Measuring Biological Diversity. Blackwell Publishing, Malden, USA, 256 pp.

Mantyniemi, S.; Romakkaniemi, A.; Arjsa, E. 2005. Bayesian removal estimation of a population size under unequal hatchability. Can. J. Fish. Aquat. Sci. 62(2): 291-300.

Mao, C.X.; Colwell, R.K. 2005. Estimation of species richness: Mixture Models, The role of rare species, and inferential challenges. Ecology 86(5): 1143-1153.

McCarty, M.A.; Masters, P. 2005. Profiting from prior information in Bayesian analyses of ecological data. J. Appl. Ecol. 42: 1012-1019.

Millar, R.B.; Anderson, M.J.; Zunun, G. 2005. Fitting nonlinear environmental gradients to community data: a general distance-based approach. Ecology 86(8): 2245-2251.

Minte-Vera, C.V.; Branch, T.A.; Stewart, I.J.; Dorn, M.W. 2005. Practical application of meta-analysis results: avoiding the double use of data. Can. J. Fish. Aquat. Sci. 62(4): 925-929.

Munzbergova, Z.; Ehrlen, J. 2005. How best to collect demographic data for population viability analysis models. J. Appl. Ecol. 42: 1115-1120.

Nielsen, S.E.; Johnson, C.J.; Heard, D.C.; Boyce, M.S. 2005. Can models of presence-absence be used to scale abundance? Two case studies considering extremes in life history. Ecography 28(2): 197-208.

Odenbaugh, J. 2005. Idealized, inaccurate but successful: A pragmatic approach to evaluating models in theoretical ecology. Biol. Philos. 20(2-3):231-255.

O’Hara, R.B. 2005. Species richness estimators: how many species can dance on the head of a pin? J. Anim. Ecol. 74(2): 375-388.

Ostrovsky, I. 2005. Assessing mortality changes from size frequency curves. J. Fish Biol. 66(6): 1624-1632.

Pavoine, S.; Doledec, S. 2005. The apportionment of quadratic entropy: A useful alternative for partitioning diversity in ecological data. Environ. Ecol. Stat. 12(2): 125-138.

Pavoine, S.; Ollier, S.; Dufour, A.B. 2005. Is the originality of species measurable? Ecol. Letters. 8(6): 579-586.

Pavoine, S.; Ollier, S.; Pontier, D. 2005. Measuring diversity from dissimilarities with Rao’s quadratic entropy: Are any dissimilarities suitable? Theoretical Population Biol. 67(4): 231-239.

Pooler, P.S.; Smith, D.R. 2005. Optimal sampling design for estimating spatial distribution and abundance of a fresh water mussel population. J. N. Amer. Benthol. Soc. 24: 525-537.

Prato, T. 2005. A fuzzy logic approach for evaluating ecosystem sustainability. Ecol. Model. 187 (2-3): 361-368.

Resh, V.H.; Bêche, L.A.; McElravy, E.P. 2005. How common are rare taxa in long-term Benthic macroinvertebrate surveys? J. N. Amer. Benthol. Soc. 24: 976-989.

Richards, S.A. 2005. Testing ecological theory using the information-theoretic approach: examples and cautionary results. Ecology 86(10): 2805-2814.

Rogerson, P.A. 2005. A set of associated statistical tests for spatial clustering. Environ. Ecol. Stat. 12(3): 275-288.

Salway, R.; Wakefield, J. 2005. Sources of bias in ecological studies of non-rare events. Environ. Ecol. Stat. 12(3): 321-347.

Smith J.G.; Beautchamp, J.J.; Stewart, A.J. 2005. Alternative approach for establishing acceptable thresholds on macroinvertebrate community metrics. J. N. Amer. Benthol. Soc. 24: 428-446.

Thomas, J.F. 2005. How long should a long-term river study be? J. Fresh. Ecol. 20(2): (no page numbers).

Van Nes, E.H.; Scheffer, M. A 2005. Strategy to improve the contribution of complex simulation models to ecological theory. Ecol. Model. 185(2-4):153-164.

Vaughan, I.P.; Ormerod, S.J.; Jetz, W.; Rahbek, C.; Lichstein, W. 2005. Increasing the value of principal components analysis for simplifying ecological data: a case study with rivers and river birds. J. Appl. Ecol. 42: 487-497.

Vilizzi, L. 2005. The linear model diagram: A graphical method for the display of factor relationships in experimental design. Ecol. Model. 184(2-4):263-275.

Walther, B.A.; Moore, J.L. 2005. The concepts of bias, precision and accuracy and their use in testing the performance of species richness estimates, with a literature review of estimator performance. Ecography. 28(6): 815-832.

Williamson M.; Gaston, K.J. (2005). The lognormal distribution is not an appropriate null hypothesis for the species-abundance distribution. J. Anim. Ecol. 74(3): 409-422.

Wilson, M.D. 2005. Bootstrap hypothesis testing and power analysis at low dose levels. The Science of the Total Environ. 346(1-3): 38-47.

Yue, T.X.; Liu, J.Y.; Li, Z.Q.; et al. 2005. Considerable effects of diversity indices and spatial scales on conclusions relating to ecological diversity. Ecol. Model. 188(2-4):418-431.
Environmental Monitoring

and Assessment
Angeler, D.G.; Garcia, G. 2005. Using emergence from soil propagule banks as indicators of ecological integrity in wetlands: advantages and limitations. J. N. Amer. Benthol. Soc. 24: 740-752.

Arvanitidis, C.; Atzigeorgiou, G.; Koutsoubas, D.; Dounas, C.; Eleftheriou, A.; Koulouri, P. 2005. Mediterranean lagoons revisited: Weakness and efficiency of the rapid biodiversity assessment techniques in a severely fluctuating environment. Biodivers Conserv. 14(10): 2347-2359.

Arvanitidis, C; Chatzigeorgiou, G.; Koutsoubas, D.; et al. 2005. Estimating lagoonal biodiversity in Greece: Comparison of rapid assessment techniques. Helgol. Mar. Res. 59(3): 177-186.

Bady, P.; Dolédec, S.; Fesl, C.; Gayraud, S.; Bacchi, M.; Schöll, F. 2005. Use of invertebrate traits for the biomonitoring of European large rivers: the effects of sampling effort on genus richness and functional diversity. Freshwater Biol. 50(1): 159-173.

Battarbee, R.W.; Anderson, N.J.; Jeppesen, E.; Leavitt, P.R. 2005. Combining palaeolimnological and lomnological approaches in assessing lake ecosystem response to nutrient reduction. Freshwater Biol. 50(10):1772-1780.

Beamonte, E.; Bermúdez, J.D. Alejandro, C.; Amesto, V.; 2005. Global stochastic index for water quality: the case for the river Turia in Spain. J. Agri. Biol. Env. Stat. 10(4): 424-439.

Beaugrand, G. 2005. Monitoring pelagic ecosystems using plankton indicators. ICES J. Mar. Sci. 62(3): 333-338.

Becker, B.L.; Lusch, D.P.; Qi, J. 2005. Identifying optimal spectral bands from in situ measurements of great lakes coastal wetlands using second-derivative analysis. Remote Sensing of Environ. 97(2): 238-248.

Bello-Pineda, J.; Liceaga-Correa, M.A.; Hernandez-Nachez, H.; Ponce-Hernandez, R. 2005. Using aerial video to train the supervised classification of landsat tm imagery for coral reef habitats mapping. Environ. Monit. Assess. 105(1-3): 145-164.

Bennion, H.; Hilton, J.; Hughes, M.; et al. 2005. The use of a GIS-based inventory to provide a national assessment of standing waters at risk from eutrophication in Great Britain. The Science of the Total Environ. 344(1-3): 259-273.

Berg, N.H.; Gallegos, A.; Dell, T.; et al. 2005. A screening procedure for identifying acid-sensitive lakes from catchment characteristics. Environ. Monit. Assess. 105(1-3): 285-307.

Bleuel, C.; Wesenberg, D.; Sutter, K.; et al. 2005. The use of the aquatic moss Fontinalis antipyretica L. ex hedw. as a bioindicator for heavy metals. The Science of the Total Environ. 345(1-3): 13-21.

Borderelle, A.L.; Verneaux, V.; Gerdeaux, D. 2005. Biological quality assessment of three French Alpine lakes (Lake Annecy, lake Crop, Lake Grand Demenon) using the lake biotic index (LBI). Archiv. für Hydrobiol. 162(4): 497-509.

Borja, A.; Muxika, I. 2005. Guidelines for the use of AMBI (AZTI marine biotic index) in the assessment of the benthic ecological quality. Mar. Pollut. Bull. 50(7):787-789.

Bramblett, R.G. 2005. Development and evaluation of a fish assemblage index of biotic integrity for northwestern Great Plains streams. Trans. Amer. Fisher. Soc. 134(3): 624-640.

Caeiro, S.; Costa, M.H.; Goovaerts, P.; Martins, F. 2005. Benthic biotope index for classifying habitats in the Sado estuary: Portugal. Mar. Environ. Res. 60(5):570-593.

Cao, Y.; Hawkins, C.P. 2005. Simulating biological impairment to evaluate the accuracy of ecological indicators. J. Appl. Ecol. 42: 954-965.

Cao, Y.; Hawkins, C.P.; Storey, A.W. 2005. A method for measuring the comparability of different sampling methods used in biological surveys: implications for data integration and synthesis. Freshwater Biol. 50(6): 1105-1116.

Carr, G.M.; Chambers, P.A.; Morin, A. 2005. Periphyton, water quality, and land use at multiple spatial scales in Alberta rivers. Can. J. Fish. Aquat. Sci. 62(6): 1309-1319.

Dale, P.E.R.; Knight, J.; Ritchie, S.A.; Kay, B.H. 2005. A practical tool to identify water bodies with potential for mosquito habitat under mangrove canopy: Large-scale airborne scanning in the thermal band 8m. Wetlands Ecol Managem. 13(4):389-394.

Danielsen, F.; Burgess, N.D.; Balmford, A. 2005. Monitoring matters: Examining the potential of locally-based approaches. Biodivers. Conserv. 14(11):2507-2542.

Davy-Bowker, J.; Murphy, J.F.; Rutt, G.P.; Steel, J.E.C.; Furse, M.T. 2005. The development and testing of a macroinvertebrate biotic index for detecting the impact of acidity on streams. Archiv. für Hydrobiol. 163(3): 383-403.

De Bisthoven, L.J.; Gerhardt, A.; Soares, A.M.V.M. 2005. Chironomidae larvae as bioindicators of an acid mine drainage in Portugal. Hydrobiologia. 532(1):181-191.

Dorigo, U.; Volatier, L.; Humbert, J. 2005. Molecular approaches to the assessment of biodiversity in aquatic microbial communities. Water Res. 39(11):2207-2218.

Edsall, T.; Bur, M.; Gorman, O.; Schaeffer, J. 2005. Burrowing mayflies as indicators of ecosystem health: Status of populations in western Lake Erie, Saginaw Bay and Green Bay. Aquat. Ecosystem Health & Managem. 8(2):107-116.

Ewers, R.M.; Didham, R.K. Wratten, S.D.; Tylianakis, J.M. 2005. Remotely sensed landscape heterogeneity as a rapid tool for assessing local biodiversity value in a highly modified New Zealand landscape. Biodivers Conserv. 14(6):1469-1485.

Ferreira, M.T.; Rodri guez-Gonzalez, P.M.; Aguiar, F.C.; Albuquerque, A. 2005. Assessing biotic integrity in Iberian rivers: Development of a multimetric plant index. Ecol. Indicators 5(2):137-149.

Ferraol, M.; Dohet, A.; Cauchie, H.; Hoffmann, L. A. 2005. top-down approach for the development of a stream typology based on abiotic variables. Hydrobiologia 551(1):193-208.

Fleishman, E.; Thomson, J.R.; Nally, R.M.; Murphy, D.D.; Fay, J.P. 2005. Using indicator species to predict species richness of multiple taxonomic groups. Cons. Biol. 19(4):1125-1137.

Flotemersch, J.E.; Blocksom, K.A. 2005. Electrofishing in boatable rivers: Does sampling design affect bioassessment metrics? Environ. Monit. Assess. 102(1-3):263-283.

Foote, A.L.; Homung, C.L.R. 2005. Odonates and biological indicators of grazing effects on Canadian prairie wetlands. Ecol. Entom. 30(3): 273-283.

Gabriels, W.; Goethals, P.L.M.; Pauw, N.D. 2005. Implications of taxonomic modifications and alien species on biological water quality assessment as exemplified by the Belgian biotic index method. Hydrobiologia. 542(1):137-150.

Gandouin, E.; Franquet, E. van Viet-lanoe, B. 2005. Chironomidae (Diptera) in river floodplains: their status and potential use for palaeoenvironmental reconstruction purposes. Archiv. für Hydrobiol. 162(4): 511-534.

Giangrande, A.; Licciano, M.; Musco, L. 2005. Polychaetes as environmental indicators revisited. Mar. Pollut. Bull. 50(11):1153-1162.

Gosselain, V.; Coste, M.; Campeau, S.; et al. 2005. A large-scale stream benthic diatom database. Hydrobiologia 542(1):151-163.

Griffith, M.B.; Hill, B.H.; McCormick, F.H.; Kaufmann, P.R.; Herlihy, A.T.; Selle, A.R. 2005. Comparative application of indices of biotic integrity based on periphyton macroinvertebrates, and fish to southern rocky mountain streams. Ecol. Indicators 5(2):117-136.

Gruau, G.; Legeas, M.; Riou, C.; Gallacier, E.; Martineau, F.; Hanin, O. 2005. The oxygen isotope composition of dissolved anthropogenic phosphates: A new tool for eutrophication research? Water Res. 39(1):232-238.

Hall, G.J.; Clow, K.E.; Kenny, J.E. 2005. Estuarial fingerprinting through multidimensional fluorescence and multivariate analysis. Environ. Sci. Technol. 39(19): 7560-7567.

Hanson, M.; Lagadic, L. 2005. Chitobiase activity as an indicator of aquatic ecosystem health. Aquat. Ecosystem Health & Managem. 8(4):441-450.

Hardman-Mountford, N.J.; Allen, J.I.; Frost, M.T.; et al. 2005. Diagnostic monitoring of a changing environment: An alternative UK perspective. Mar. Pollut. Bull. 50(12):1463-1471.

Hedley, J.D.; Harborne, A.R.; Mumby, P.J. 2005 2005. Technical note: simple and robust removal of sun glint for mapping shallow water benthos. Int. J. Remote. Sens. 26(10): 2107-2112.

Heino, J.; Paavola, R.; Virtanen, R.; Muotka, T. 2005. Searching for biodiversity indicators in running waters: Do bryophytes, macroinvertebrates, and fish show congruent diversity patterns? Biodivers Conserv. 14(2): 415-428.

Hiddink, J.G.; Kaiser, M.J. 2005. Implications of Liebig’s law of the minimum for the use of ecological indicators based on abundance. Ecography 28(2): 264-221.

Hodkinson, I.D.; Jackson, J.K.; 2005. Terrestrial and aquatic invertebrates as bioindicators for environmental moitoring, with particular reference to mountain ecosystems. Environ. Managem. 35(5): 649-666.

Hortal, J.; Lobo, J.M. 2005. An ED-based protocol for optimal sampling of biodiversity. Biodivers Conserv. 14(12):2913-2947.

Jardine, T.D.; Al, T.A.; MacQuarrie, K.T.B.; et al. 2005. Water striders (family Gerridae): Mercury sentinels in small freshwater ecosystems. Environ. Pollut. 134(1):165-171.

Jiang, J.; Shen, Y. 2005. Use of the aquatic protozoa to formulate a community biotic index for an urban water system. The Science of the Total Environ. 346(1-3):99-111.

Johnson, M. J.; Giller, P.S.; O’Halloran, J.; O’Gorman, K.; Gallagher, M.B. 2005. A novel approach to assess the impact of landuse activity on chemical and biological parameters in river catchments. Freshwater Biol. 50(7): 1273-1290.

Kim, A.G.; Cardone, C.R. 2005. Scatterscore: A reconnaissance method to evaluate changes in water quality. Environ. Monit. Assess. 111(1-3):277-295

Lavoie, I.; Somers, K.M.; Paterson, A.M; Dillon, P.J. 2005. Assessing scales of variability in benthic diatom community structure. J. Appl. Phycol. 17(6):509-513.

Li, X.; Wang, S.H.; Haman, M.; Improved lake/reservoir water quality Modeling using an environmental model and GIS. GIScience and Remote Sensing. 42(4): 320-332.

Linke, S.; Norris, R.H.; Faith, D.P.; Stockwell, D. 2005. ANNA: A new prediction method for bioassessment programs. Freshwater Biol. 50(1): 147-158.

Liou, Y.; Lo, S. 2005. A fuzzy index model for trophic status evaluation of reservoir waters. Water Res. 39(7):1415-1423.

Livingston, P.A.; Aydin, K.; Boldt, J.; Ianelli, J.; Jurado-Molina, J. 2005. A framework for ecosystem impacts assessment using an indicator approach. ICES J. Mar. Sci. 62(3):592-597.

Luan, B.T.; Debenay, J. 2005. Foraminifera, environmental bioindicators in the highly impacted environments of the Mekong Delta. Hydrobiologia 548(1):75-83.

Maassen, S.; Uhlmann, D.; Raske, I. 2005. Sediment and pore water composition as a basis for the trophic evaluation of standing waters. Hydrobiologia 543(1):55-70.

Marcogliese, D.J. 2005. Parasites of the superorganism: Are they indicators of ecosystem health? Intern. J. for Parasitol. 35(7):705-716.

Martin, R.; Beck, C.W.; Baker, S. 2005. Comparison of two bioassessment protocols in five Georgia streams. Fresh. Ecol. 20(4):

Maxwell, D.; Jennings, S. 2005. Power of monitoring programmes to detect decline and recovery of rare and vulnerable fish. Appl. Ecol. 42: 25-37.

Mouillot, D.; Gaillard, S.; Aliaume, C.; et al. 2005. Ability of taxonomic diversity indices to discriminate coastal lagoon environments based on macrophyte communities. Ecol. Indicators 5(1):1-17.

Mulholland, P.J.; Houser, J.N.; Maloney, K.O. 2005. Stream diurnal dissolved oxygen profiles as indicators of in-stream metabolism and disturbance effects: Fort Benning as a case study. Ecol. Indicators 5(3):243-252.

Muxika, I.; Borja, A.; Bonne, W. 2005. The suitability of the marine biotic index (AMBI) to new impact sources along European coasts. Ecol. Indicators 5(1):19-31.

Nijboer R.C.; Verdonscott, P.F.M.; Van Der Werf. D.C. 2005. The use of indicator taxa as representative of communities in bioassessment. Freshwater Biol. 50(8): 1427-1440.

Ode, P.R.; Rehn, S.E.; May, J.T. 2005. A quantitative tool for assessing the integrity of southern coastal California streams. Environ. Managem. 35(4): 493-504.

Pagliosa, P.R. 2005. Another diet of worms: the applicability of polychaete feeding guilds as a useful conceptual framework and biological variable. Mar. Ecol. 26(3-4): 246-255.

Pozdnyakov, D.; Shuchman, R.; Korosov, A.; Hatt, C. 2005. Operational algorithm for the retrieval of water quality in the Great Lakes. Remote Sensing of Environ. 97(3):352-370.

Raunio, J.; Moutka, T. 2005. The use of chironomid pupal exuviae in river biomonitoring: the importance of sampling strategy. Archiv. für Hydrobiol. 164(4): 529-545.

Reghunath, R. Murthy, T.R.S.; Raghavan, B.R. 2005. Time series analysis to monitor and assess water resources: A moving average approach. Environ. Monit. Assess. 109(1-3):65-72.

Rimet, F.; Cauchie, H.; Hoffmann, L.; Ector, L. 2005. Response of diatom indices to simulated water quality improvements in a river. J. Appl. Phycol. 17(2):119-128.

Rogers, S.I.; Greenaway, B. 2005. A UK perspective on the development of marine ecosystem indicators. Mar. Pollut. Bull. 50(1):9-19.

Shields Jr., F.D.; Rigby, J.R. 2005. River habitat quality from river velocities measured using acoustic Doppler current profiler. Environ. Managem. 35(4): 565-575.

Silveira, M.P.; Baptista, D.F.; Buss, D.F.; Nessimian, J.L.; Egler, M. 2005. Application of biological measures for Stream integrity assessment in south-east Brazil. Environ. Monit. Assess. 101(1-3):117-128.

Statzner, B.; Bady, P.; Dolédec, S.; Schöll, F. 2005. Invertebrates traits for the biomonitoring of large European rivers: an initial assessment of trait patterns in least impacted river reaches. Freshwater Biol. 50(12): 2136-2161.

Wang, X.; Homer, M.; Dyer, S.D.; White-Hull, C.; Du, C. 2005. A river water quality model integrated with a web-based geographic information system. J. Environ. Managem. 75(3): 219-228.

Wang, Y.K.; Stevenson, R.J.; Metzmeir, L. 2005. Development and evaluation of a diatom-based index of biotic integrity for the interior plateau ecoregion, USA. J. N. Amer. Benthol. Soc. 24: 990-998.

Wiersma, Y.F. 2005. Environmental benchmarks vs. ecological benchmarks for assessment and monitoring in Canada: Is there a difference? Environ. Monit. Assess. 2005; 100(1-3):1-9.

Wilhelm, J.G.O.; Allan, J.D.; Wessell, K.J.; Merritt, R.W.; Cumins, K.W. 2005. Habitat assessment of non-wadeable rivers in Michigan. Environ. Managem. 35(4):592-609.

Xu, F.; Zhao, Z.; Zhan, W.; Zhao, S.; Dawson, R.W.; Tao, S. 2005. An ecosystem health index methodology (EHIM) for lake ecosystem health assessment. Ecol. Model. 188(2-4):327-339.

Yurista, P.; Kelly, J.R.; Miller, S. 2005. Evaluation of optically acquired zooplankton size-spectrum data as a potential tool for Assessment of condition in the Great Lakes. Environ. Managem. 35(1): 34-44.


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