Annelida: Branchiobdellida, oligochaetous Clitellata (‘Oligochaeta’), Polychaeta (including the Aphanoneura / Aeolosomatida), and Misc. Annelida

Hydrological and Sedimentology Methods

Aksoy H.; Kurt I.; Eris E. 2009. Filtered smoothed minima baseflow separation method. J. Hydrol. 372(1-4): 94-101.

Ali A.; Lemckert C.J. 2009. A traversing system to measure bottom boundary layer hydraulic properties. Estuar. Coast. Shelf Sci. 83(4): 425-433.

Allaire S.E.; Roulier S.; Cessna A.J. 2009. Quantifying preferential flow in soils: A review of different techniques. J. Hydrol. 378(1-2): 179-204.

Beltran C.; de Rafélis M.; Person A.; et al. 2009. Multiproxy approach for determination of nature and origin of carbonate micro-particles so-called “micarb” in pelagic sediments. Sediment Geol. 213(1-2): 64-76.

Besaw L.E.; Rizzo D.M.; Kline M. et al. 2009. Stream classification using hierarchical artificial neural networks: A fluvial hazard management tool. J. Hydrol. 373(1-2): 34-43.

Burcher C. 2009. Using simplified watershed hydrology to define spatially explicit ‘zones of influence’. Hydrobiol. 618(1): 149-160.

Camenen B. 2009. Estimation of the wave-related ripple characteristics and induced bed shear stress. Estuar. Coast. Shelf Sci. 84(4): 553-564.

Chen X.; Song J.; Cheng C.; et al. 2009. A new method for mapping variability in vertical seepage flux in streambeds. Hydrogeol. J. 17(3): 519-525.

Christensen S.; Zlotnik V.A.; Tartakovsky D.M. 2009. Optimal design of pumping tests in leaky aquifers for stream depletion analysis. J. Hydrol. 375(3-4): 554-565.

Di Baldassarre G.; Schumann G.; Bates P.D. 2009. A technique for the calibration of hydraulic models using uncertain satellite observations of flood extent. J. Hydrol. 367(3-4): 276-282.

Gasca D.; Ross D. 2009. The use of wetland water balances to link hydrogeological processes to ecological effects. Hydrogeol. J. 17(1): 115-133.

Gómez S.; Severino G.; Randazzo L.; et al. 2009. Identification of the hydraulic conductivity using a global optimization method. Agric. Water Manage. 96(3): 504-510.

Greswell R.; Ellis P.; Cuthbert M.; et al. 2009. The design and application of an inexpensive pressure monitoring system for shallow water level measurement, tensiometry and piezometry. J. Hydrol. 373(3-4): 416-425.

Hahn H. 2009. A proposal for an extended typology of groundwater habitats. Hydrogeol. J. 17(1): 77-81.

Hancock, P.J.; Boulton, A.J. 2009. Sampling groundwater fauna: Efficiency of rapid assessment methods tested in bores in Eastern Australia. Freshwat. Biol. 54(4): 902-917.

Howard L.; Wood P.; Greenwood M.; Rendell H. 2009. Reconstructing riverine paleo-flow regimes using subfossil insects (Coleoptera and Trichoptera): The application of the LIFE methodology to paleochannel sediments. J .Paleolimnol. 42(4): 453-466.

Ivkovic K.M. 2009. A top–down approach to characterise aquifer–river interaction processes. J. Hydrol. 365(3-4): 145-155.

Jeong D.I.; Kim Y. 2009. Combining single-value streamflow forecasts – A review and guidelines for selecting techniques. J. Hydrol. 377(3-4): 284-299.

Khaliq M.N.; Ouarda T.B.M.J.; Gachon P.; et al. 2009. Identification of hydrological trends in the presence of serial and cross correlations: A review of selected methods and their application to annual flow regimes of Canadian rivers. J. Hydrol. 368(1-4): 117-130.

Milne A.E.; Macleod C.J.A.; Haygarth P.M.; et al. 2009. The wavelet packet transform: A technique for investigating temporal variation of river water solutes. J. Hydrol. 379(1-2): 1-19.

Misstear B.; Brown L.; Daly D. 2009. A methodology for making initial estimates of groundwater recharge from groundwater vulnerability mapping. Hydrogeol. J. 17(2): 275-285.

Niemann W.; Rovey II C. 2009. A systematic field-based testing program of hydraulic conductivity and dispersivity over a range in scale. Hydrogeol. J. 17(2): 307-320.

Nykänen M.; Vakkilainen K.; Liukkonen M.; Kairesalo T. 2009. Cladoceran remains in lake sediments: A comparison between plankton counts and sediment records. J. Paleolimnol. 42(4): 551-570.

Petersen-Øverleir A.; Reitan T. 2009. Accounting for rating curve imprecision in flood frequency analysis using likelihood-based methods. J. Hydrol. 366(1-4): 89-100.

Pittam N.; Foster I.; Mighall T. 2009. An integrated lake-catchment approach for determining sediment source changes at aqualate mere, central England. J. Paleolimnol. 42(2): 215-232.

Randhir T.O.; Hawes A.G. 2009. Watershed land use and aquatic ecosystem response: Ecohydrologic approach to conservation policy. J. Hydrol. 364(1-2): 182-199.

Sinreich M.; Flynn R.; Zopfi J. 2009. Use of particulate surrogates for assessing microbial mobility in subsurface ecosystems. Hydrogeol. J. 17(1): 49-59.

Smerdon B.D.; Allen D.M.; Grasby S.E.; Berg M.A. 2009. An approach for predicting groundwater recharge in mountainous watersheds. J. Hydrol. 365(3-4): 156-172.

Song J.; Chen X.; Cheng C.; et al. 2009. Feasibility of grain-size analysis methods for determination of vertical hydraulic conductivity of streambeds. J. Hydrol. 375(3-4): 428-437.

Steube C.; Richter S.; Griebler C. 2009. First attempts towards an integrative concept for the ecological assessment of groundwater ecosystems. Hydrogeol. J. 17(1): 23-35.

Tomer M.D.; Schilling K.E. 2009. A simple approach to distinguish land-use and climate-change effects on watershed hydrology. J. Hydrol. 376(1-2): 24-33.

Turner B.; Weckström K. 2009. Phytate as a novel phosphorus-specific paleo-indicator in aquatic sediments. J. Paleolimnol. 42(3): 391-400.

Wang W.; Chau K.; Cheng C.; Qiu L. 2009. A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series. J. Hydrol. 374(3-4): 294-306.

Yang H.; Flower R. 2009. A portable hand-operated sampler for shallow-water surface sediments with special reference to epipelic communities. J. Paleolimnol. 42(3): 317-324.

Zlotnik V.A.; Olaguera F.; Ong J.B. 2009. An approach to assessment of flow regimes of groundwater-dominated lakes in arid environments. J. Hydrol. 371(1-4): 22-30.

Remote Sensing and Telemetry Methods

Alcaraz-Segura D.; Cabello J.; Paruelo J.; Delibes M. 2009. Use of descriptors of ecosystem functioning for monitoring a national park network: A remote sensing approach. Environ. Managem. 43(1): 38-48.

Arst H.; Reinart A. 2009. Application of optical classifications to north European lakes. Aquat. Ecol. 43(4): 789-801.

Barron M.; Vivian D.; Yee S.; Santavy D. 2009. Methods to estimate solar radiation dosimetry in coral reefs using remote sensed, modeled, and in situ data. Environ. Monit. Assess. 151(1-4): 445-455.

Bartel R.A.; Sexton J.O. 2009. Monitoring habitat dynamics for rare and endangered species using satellite images and niche-based models. Ecography 32(5): 888-896.

Benoit-Bird K.J. 2009. The effects of scattering-layer composition, animal size, and numerical density on the frequency response of volume backscatter. ICES J. Mar. Sci. 66(3): 582-593.

Berger L.; Poncelet C.; Trenkel V.M. 2009. A method for reducing uncertainty in estimates of fish-school frequency response using data from multifrequency and multibeam echosounders. ICES J. Mar. Sci. 66(6): 1155-1161.

Bourguignon S.; Berger L.; Scalabrin C.; et al. 2009. Methodological developments for improved bottom detection with the ME70 multibeam echosounder. ICES J. Mar. Sci. 66(6): 1015-1022.

Buelens B.; Pauly T.; Williams R.; Sale A. 2009. Kernel methods for the detection and classification of fish schools in single-beam and multibeam acoustic data. ICES J. Mar. Sci. 66(6): 1130-1135.

Butler G.L.; Rowland S.J. 2009. Using underwater cameras to describe the reproductive behaviour of the endangered eastern freshwater cod Maccullochella ikei. Ecol. Freshwat. Fish. 18(3): 337-349.

Carbines G.; Cole R.G. 2009. Using a remote drift underwater video (DUV) to examine dredge impacts on demersal fishes and benthic habitat complexity in Foveaux strait, southern New Zealand. Fish. Res. 96(2-3): 230-237.

Chang S.; Lin T.; Lin G.; eta l. 2009. How to collect verifiable length data on tuna from photographs: An approach for sample vessels. ICES J. Mar. Sci. 66(5): 907-915.

Churnside J.H.; Tenningen E.; Wilson J.J. 2009. Comparison of data-processing algorithms for the lidar detection of mackerel in the Norwegian Sea. ICES J. Mar. Sci. 66(6): 1023-1028.

Colton, M.A.; Swearer, S.E. 2009. A comparison of two survey methods: differences between underwater visual census and baited remote underwater video. Mar. Ecol. Prog. Ser. 400: 19-36.

Coops N.C.; Wulder M.A.; Iwanicka D. 2009. Demonstration of a satellite-based index to monitor habitat at continental-scales. Ecol. Ind. 9(5): 948-958.

Costa C.; Scardi M.; Vitalini V.; Cataudella S. 2009. A dual camera system for counting and sizing northern bluefin tuna (Thunnus thynnus; Linnaeus, 1758) stock, during transfer to aquaculture cages, with a semi automatic artificial neural network tool. Aquacult. 291(3-4): 161-167.

Demer D.A.; Cutter G.R.; Renfree J.S.; Butler J.L. 2009. A statistical-spectral method for echo classification. ICES J. Mar. Sci. 66(6): 1081-1090.

Djemali I.; Toujani R.; Guillard J. 2009. Hydroacoustic fish biomass assessment in man-made lakes in Tunisia: Horizontal beaming importance and diel effect. Aquat. Ecol. 43(4): 1121-1131.

Duarte S.; Reig L.; Oca J. 2009. Measurement of sole activity by digital image analysis. Aquacul. Eng. 41(1): 22-27.

Dumas P.; Bertaud A.; Peignon C.; Léopold M.; Pelletier D. 2009. A “quick and clean” photographic method for the description of coral reef habitats. J. Exp. Mar. Biol. Ecol. 368(2): 161-168.

Ebner B.; Clear R.; Godschalx S.; Beitzel M. 2009. In-stream behaviour of threatened fishes and their food organisms based on remote video monitoring. Aquat. Ecol. 43(2): 569-576.

Ehrenberg J.E.; Steig T.W. 2009. A study of the relationship between tag-signal characteristics and achievable performances in acoustic fish-tag studies. ICES J. Mar. Sci. 66(6): 1278-1283.

Elçi Ş.; Aydın R.; Work P. 2009. Estimation of suspended sediment concentration in rivers using acoustic methods. Environ. Monit. Assess. 159(1-4): 255-265.

Foody, G.M. 2009. Sample size determination for image classification accuracy assessment and comparison. Intern. J. Remote Sensing 30: 5273-5291.

Godlewska M.; Colon M.; Doroszczyk L.; et al. 2009. Hydroacoustic measurements at two frequencies: 70 and 120kHz – consequences for fish stock estimation. Fish. Res. 96(1): 11-16.

Godlewska M.; Długoszewski B.; Doroszczyk L.; Jóźwik A. 2009. The relationship between sampling intensity and sampling error—empirical results from acoustic surveys in polish Vendace lakes. Fish. Res. 96(1): 17-22.

Gomez, J.A.D.; Salinero, E.C.S.; Merlin, S. 2009. Monitoring transparency in inland water bodies using multispectral images. Intern. J. Remote Sensing 30: 1567-1586.

Goncalves, L.M.S.; Fonte, C.C., Julio, E.N.B.S.; Caetano, M. 2009. A method to incorporate uncertainty in the classification of remote sensing images. Intern. J. Remote Sensing 20: 5489-5503.

Gordon M.; Seymour J. 2009. Quantifying movement of the tropical Australian cubozoan Chironex fleckeri using acoustic telemetry. Hydrobiol. 616(1): 87-97.

Hadjimitsis D.; Clayton C. 2009. Assessment of temporal variations of water quality in inland water bodies using atmospheric corrected satellite remotely sensed image data. Environ. Monit. Assess. 159(1-4): 281-292.

Hall R.; Watkins R.; Heggem D.; et al. 2009. Quantifying structural physical habitat attributes using LIDAR and hyperspectral imagery. Environ. Monit. Assess. 159(1-4): 63-83.

Han C.; Uye S. 2009. Quantification of the abundance and distribution of the common jellyfish aurelia aurita s.l. with a dual-frequency IDentification SONar (DIDSON). J. Plank. Res. 31(8): 805-814.

Handegard N.O.; Pedersen G.; Brix O. 2009. Estimating tail-beat frequency using split-beam echosounders. ICES J. Mar. Sci. 66(6): 1252-1258.

Harbitz A.; Ona E.; Pennington M. 2009. The use of an adaptive acoustic-survey design to estimate the abundance of highly skewed fish populations. ICES J. Mar. Sci. 66(6): 1349-1354.

Holdsworth J.; Sippel T.; Block B. 2009. Near real time satellite tracking of striped marlin (Kajikia audax) movements in the Pacific Ocean. Mar. Biol. 156(3): 505-514.

Holliday D.V.; Donaghay P.L.; Greenlaw C.F.; et al. 2009. High-frequency acoustics and bio-optics in ecosystems research. ICES J. Mar. Sci. 66(6): 974-980.

Hu C. 2009. A novel ocean color index to detect floating algae in the global oceans. Remote Sens. Environ. 113(10): 2118-2129.

Jagannathan, S.; Bertsatos, I.; Symonds, D.; et al. 2009. Ocean acoustic wavelength sensing (OAWRS) of marine ecosystems. Mar. Ecol. Prog. Ser. 395: 137-160.

Kaartvedt, S.; Rostad, A;. Klevjer, T.A.; Staby, A. 2009. Use of bottom-mounted echo sounders in exploring behavior of mesopelagic fishes. Mar. Ecol. Prog. Ser. 395: 109-118.

Kasischke E.S.; Bourgeau-Chavez L.L.; Rober A.R.; 2009. Effects of soil moisture and water depth on ERS SAR backscatter measurements from an Alaskan wetland complex. Remote Sens. Environ. 113(9): 1868-1873.

Kloser R.J.; Ryan T.E.; Young J.W.; Lewis M.E. 2009. Acoustic observations of micronekton fish on the scale of an ocean basin: Potential and challenges. ICES J. Mar. Sci. 66(6): 998-1006.

Knudsen H.P. 2009. Long-term evaluation of scientific-echosounder performance. ICES J. Mar. Sci. 66(6): 1335-1340.

Komick N.M.; Costa M.P.F.; Gower J. 2009. Bio-optical algorithm evaluation for MODIS for western Canada coastal waters: An exploratory approach using in situ reflectance. Remote Sens. Environ. 113(4): 794-804.

Korneliussen R.J.; Heggelund Y.; Eliassen I.K.; Johansen G.O. 2009. Acoustic species identification of schooling fish. ICES J. Mar. Sci. 66(6): 1111-1118.

Korneliussen R.J.; Heggelund Y.; Eliassen I.K.; et al. 2009. Combining multibeam-sonar and multifrequency-echosounder data: Examples of the analysis and imaging of large euphausiid schools. ICES J. Mar. Sci. 66(6): 991-997.

Koslow J.A. 2009. The role of acoustics in ecosystem-based fishery management. ICES J. Mar. Sci. 66(6): 966-973.

Kratzer S.; Tett P. 2009. Using bio-optics to investigate the extent of coastal waters: A Swedish case study. Hydrobiol. 629(1): 169-186.

Kuchinke C.P.; Gordon H.R.; Harding L.W.; Voss K.J. 2009. Spectral optimization for constituent retrieval in case 2 waters II: Validation study in the Chesapeake Bay. Remote Sens. Environ. 113(3): 610-621.

Kuchinke C.P.; Gordon H.R.; Franz B.A. 2009. Spectral optimization for constituent retrieval in case 2 waters I: Implementation and performance. Remote Sens. Environ. 113(3): 571-587.

Lee G.H.; Kim H.J.; Kim D.C.; et al. 2009. The acoustic diversity of the seabed based on the similarity index computed from chirp seismic data. ICES J. Mar. Sci. 66(2): 227-236.

Lessin G.; Ossipova V.; Lips I.; Raudsepp U. 2009. Identification of the coastal zone of the central and eastern gulf of Finland by numerical modeling, measurements, and remote sensing of chlorophyll a. Hydrobiol. 629(1): 187-198.

Lyon, P.E. 2009. An automated de-stripping algorithm for ocean colour monitor imagery. Intern. J. Remote Sensing 30: 1493-1502.

Manzello D.; Warner M.; Stabenau E.; et al. 2009. Remote monitoring of chlorophyll fluorescence in two reef corals during the 2005 bleaching event at Lee Stocking island, Bahamas. Coral Reefs 28(1): 209-214.

McGonigle C.; Brown C.; Quinn R.; Grabowski J. 2009. Evaluation of image-based multibeam sonar backscatter classification for benthic habitat discrimination and mapping at Stanton Banks, UK. Estuar. Coast. Shelf Sci. 81(3): 423-437.

McRoberts R.E. 2009. Diagnostic tools for nearest neighbors techniques when used with satellite imagery. Remote Sens. Environ. 113(3): 489-499.

Melnychuk M.C.; Christensen V. 2009. Methods for estimating detection efficiency and tracking acoustic tags with mobile transect surveys. J. Fish. Biol. 75(7): 1773-1794.

Morel A.; Gentili B. 2009. A simple band ratio technique to quantify the colored dissolved and detrital organic material from ocean color remotely sensed data. Remote Sens. Environ. 113(5): 998-1011.

Murphy R.J.; Underwood A.J.; Jackson A.C. 2009. Field-based remote sensing of intertidal epilithic chlorophyll: Techniques using specialized and conventional digital cameras. J. Exp. Mar. Biol. Ecol. 380(1-2): 68-76.

Niclos, R.; Caselles, V.; Valor,; et al. 2009. A simple equation for determining sea surface emissivity in the 3-15 μm region. Intern. J. Remote Sensing 30: 1603-1619.

Nishimori Y.; Iida K.; Furusawa M.; et al. 2009. The development and evaluation of a three-dimensional, echo-integration method for estimating fish-school abundance. ICES J. Mar. Sci. 66(6): 1037-1042.

O'Driscoll R.L.; Gauthier S.; Devine J.A. 2009. Acoustic estimates of mesopelagic fish: As clear as day and night? ICES J. Mar. Sci. 66(6): 1310-1317.

Ona E.; Mazauric V.; Andersen L.N. 2009. Calibration methods for two scientific multibeam systems. ICES J. Mar. Sci. 66(6): 1326-1334.

Pantaleoni, E.; Wynne, R.H.; Galbratih, J.M.; Campbell, J.B. 2009. A logit model for predicting wetland location using ASTER and GIS. Intern. J. Remote Sensing 30: 2215-2236.

Pantaleoni, E.; Wynne, R.H.; Galbratih, J.M.; Campbell, J.B. 2009. Mapping wetlands using ASTER data: a comparison between classification trees and logistic regression. Intern. J. Remote Sensing 30: 3423-3440.

Parravicini V.; Morri C.; Ciribilli G.; et al. 2009. Size matters more than method: Visual quadrats vs photography in measuring human impact on Mediterranean rocky reef communities. Estuar. Coast. Shelf Sci. 81(3): 359-367.

Plaza A.; Benediktsson J.A.; Boardman J.W.; et al. 2009. Recent advances in techniques for hyperspectral image processing. Remote Sens. Environ. 113: S110-S122.

Power, M.; Lowe, R.; Furey, P.; et al. 2009. Algal mats and insect emergence in rivers under mediterranean climates: Towards photogrammetric surveillance. Freshwat. Biol. 54(10): 2101-2115.

Quintella B.R.; Póvoa I.; Almeida P.R. 2009. Swimming behaviour of upriver migrating sea lamprey assessed by electromyogram telemetry. J. Appl. Ichthyol. 25(1): 46-54.

Quinton W.L.; Elliot T.; Price J.S.; et al. 2009. Measuring physical and hydraulic properties of peat from X-ray tomography. Geoderma 153(1-2): 269-277.

Rattray A.; Ierodiaconou D.; Laurenson L.; et al. 2009. Hydro-acoustic remote sensing of benthic biological communities on the shallow south east Australian continental shelf. Estuar. Coast. Shelf Sci. 84(2): 237-245.

Reimer J.; Sinniger F.; Nonaka M.; Uchida S. 2009. Non-invasive internal morphological examination of epizoic zoanthids utilizing CT scanners. Coral Reefs 28(3): 621-621.

Rinke, C.; Lee, R.W. 2009. Macro camera temperature logger array for deep-sea hydrothermal vent and benthic studies. Limnol. Oceanogr. Methods 7: 527-534.

Serôdio J.; Cartaxana P.; Coelho H.; Vieira S. 2009. Effects of chlorophyll fluorescence on the estimation of microphytobenthos biomass using spectral reflectance indices. Remote Sens. Environ. 113(8): 1760-1768.

Steinke D.; Hanner R.; Hebert P. 2009. Rapid high-quality imaging of fishes using a flat-bed scanner. Ichthyol. Res. 56(2): 210-211.

Stokes, M.D.; Deane, G.B. 2009. Automated processing of coral reef benthic images. Limnol. Oceanogr. Methods 7: 157-168.

Sulak K.J.; Randall M.T.; Edwards RE.; et al. 2009. Defining winter trophic habitat of juvenile Gulf sturgeon in the Suwannee and Apalachicola rivermouth estuaries, acoustic telemetry investigations. J. Appl. Ichthyol. 25(5): 505-515.

Teece, M.A. 2009. An inexpensive remotely operated vehicle for underwater studies. Limnol. Oceanogr. Methods 7: 206-215.

Tomlinson M.C.; Wynne T.T.; Stumpf R.P. 2009. An evaluation of remote sensing techniques for enhanced detection of the toxic dinoflagellate, Karenia brevis. Remote Sens. Environ. 113(3): 598-609.

Trygonis V.; Georgakarakos S.; Simmonds E.J. 2009. An operational system for automatic school identification on multibeam sonar echoes. ICES J. Mar. Sci. . 66(5): 935-949.

Van Parijs, S.M.; Clark, C.W.; Sousa-Lima, R.S.; et al. Management and research applications of real-time and archival passive acoustic sensors over varying temporal and spatial scales. Mar. Ecol. Prog. Ser. 395: 21-36.

von Szalay P.G.; Somerton D.A. 2009. A comparison of acoustic backscatter between a trawling and a free-running vessel for eastern Bering Sea walleye pollock (Theragra chalcogramma). Fish. Res. 96(2-3): 223-229.

Wilson S.J.K.; Fredette T.J.; Germano J.D.; et al. 2009. Plan-view photos, benthic grabs, and sediment-profile images: Using complementary techniques to assess response to seafloor disturbance. Mar. Pollut. Bull. 59(1-3): 26-37.

Winters G.; Holzman R.; Blekhman A.; et al. 2009. Photographic assessment of coral chlorophyll contents: Implications for ecophysiological studies and coral monitoring. J. Exp. Mar. Biol. Ecol. 380(1-2): 25-35.

Zedel L.; Cyr-Racine F. 2009. Extracting fish and water velocity from Doppler profiler data. ICES J. Mar. Sci. 66(9): 1846-1852.

Methods in Aquatic and

Environmental Microbiology

Aoi, Y.; Kinoshita, T.; Hata, T.; et al. 2009. Hollow-fibre membrane chamber as a device for in situ environmental cultivation. Appl. Environ. Micobiol. 75: 3826-3833.

Baker K.L.; Langenheder S.; Nicol G.W.; et al. 2009. Environmental and spatial characterisation of bacterial community composition in soil to inform sampling strategies. Soil Biol. Biochem. 41(11): 2292-2298.

Bär W.; Bäde-Schumann U.; Krebs A.; Cromme L. 2009. Rapid method for detection of minimal bactericidal concentration of antibiotics. J. Microbiol. Methods 77(1): 85-89.

Bayer, C.; Heindl, N.R.; RInke, C.; Lucker, S.; Ott, J.A.; Bulgheresi, S. 2009. Molecular characterization of the symbionts associated with marine nematodes of the genus Robbea. Environ. Microbiol. Rep. 1: 136-144.

Behrends, V.; Ebbels, T.M.D.; Williams, H.D.; Bundy, J.G. 2009. Time-resolved metabolic footprinting for nonlinear modeling of bacterial substrate utilization. Appl. Environ. Micobiol. 75: 2453-2463.

Ben-Dov, E.; Kramarsky-Winter, E.; Kushmaro, A. 2009. A in situ method for cultivating microorganisms using a double encapsulation technique. FEMS Microbiol. Ecol. 68: 363-371.

Bik, H.M.; Hawkins, L.E.; Hughes, J.A.; Lambshead, J.D. 2009. Rapid decline of PCR amplification from genomic extracts of DESS-preserved, slide mounted nematodes. Nematol. 11: 827-832.

Borglin S.; Joyner D.;p Jacobsen J.; 2009. Overcoming the anaerobic hurdle in phenotypic microarrays: Generation and visualization of growth curve data for Desulfovibrio vulgaris Hildenborough. J. Microbiol. Methods 76(2): 159-168.

Brescia, C.C.; Griffin, S.M.; Ware, M.W.; Varughese, E.A.; Egorov, A.I.; Villegas, E.N. 2009. Cryptosporidium propidium monoazide-PCR, a molecular biology-based technique for genotyping of viable Cryptosporidium oocysts. Appl. Environ. Micobiol. 75: 6856-6863.

Burke, C.; Kjelleberg, S.; Thomas, T. 2009. Selective extraction of bacterial DNA from the surfaces of macroalgae. Appl. Environ. Micobiol. 75: 252-256.

Cai S.; Lu Y.; Wu Z.; et al. 2009. A novel multiplex PCR method for detecting virulent strains of Vibrio alginolyticus. Aquacul. Res. 41(1): 27-34.

Cano-Gomez A.; Bourne D.G.; Hall M.R.; et al. 2009. Molecular identification, typing and tracking of Vibrio harveyi in aquaculture systems: Current methods and future prospects. Aquacul. 287(1-2): 1-10.

Cao A.; Fuentes J.; Comesaña P.; et al. 2009. A proteomic approach envisaged to analyse the bases of oyster tolerance/resistance to bonamiosis. Aquacul. 295(3-4): 149-156.

Chambers E.M.; Nagel D.A.; Elloway EA, et al. 2009. Polymerase chain reaction detection of Renibacterium salmoninarum in fish: Validation of a modified protocol. Aquacul. 287(1-2): 35-39.

Chen B.; Liu H.; Wang Z. 2009. Trophic interactions within the microbial food web in the South China sea revealed by size-fractionation method. J. Exp. Mar. Biol. Ecol. 368(1): 59-66.

Cunliffe, M.; Harrison, E.; Salter, M.; et al. 2009. Comparison and validation of sampling strategies for the molecular microbial analysis of surface microlayers. Aquat. Microb. Ecol. 57: 69-77.

Cooper I.R.; Meikle S.T.; Standen G.; et al. 2009. The rapid and specific real-time detection of legionella pneumophila in water samples using optical waveguide lightmode spectroscopy. J. Microbiol. Methods 78(1): 40-44.

Das, M.; Bhowmick, T.S.; Nandy, R.K.; et al. 2009. Surveillance of vibriophages reveals their role as biomonitoring agents in Kolkata. FEMS Microbiol. Ecol. 67: 502-510.

Delgado-Viscogliosi, P.; Solignac, L.; Delattre, J.-M. 2009. Viability PCR, a culture-independent method for rapid and selective quantification of viable Legionella pneumophila cells in environmental water. Appl. Environ. Micobiol. 75: 3502-3512.

Duc, L.A.; Myron, T.; Osman, S.; et al. 2009. Comparative analysis of methods for the purification of DNA from low-biomass samples based on total yield and conserved microbial diversity. J. Rap. Meth. Autom. Microbiol. 17: 350-368.

Dolan A.; Burgess C.M.; Barry T.B.; et al. 2009. A novel quantitative reverse-transcription PCR (qRT-PCR) for the enumeration of total bacteria, using meat micro-flora as a model. J. Microbiol. Methods 77(1): 1-7.

Englert, D.L.; Manson, M.D.; Jayaraman, A. 2009. Flow-based microfluidic device for quantifying bacterial chemotaxis in stable, competing gradients. Appl. Environ. Micobiol. 75: 4557-4564.

Fagerquist, C.K.; Garbus, B.R.; Williams, K.E.; Bates, A.H.; Boyle, S.; Harden, L.A. 2009. Web-based software for rapid top-down proteomic identification of protein biomarkers, with implications for bacterial identification. Appl. Environ. Micobiol. 75: 4341-4353.

Fernandes P.G. 2009. Classification trees for species identification of fish-school echotraces. ICES J. Mar. Sci. 66(6): 1073-1080.

Forbes, C.M.; O’Leray, N.D.; Dobson, A.D.; Marchesi, J.R. 2009. The contribution of “omic”-based approaches to the study of enhanced biological phosphorus removal microbiology. FEMS Microbiol. Ecol. 69: 1-15.

Francy, D.S. 2009. Use of predictive models and rapid methods to nowcast bacteria levels at coastal beaches. Aquat. Ecosys. Health Managem. 18: 177-182.

Frias-Lopez J.; Thompson A.; Waldbauer J.; Chisholm S.W. 2009. Use of stable isotope-labelled cells to identify active grazers of picocyanobacteria in ocean surface waters. Environ. Microbiol. 11(2): 512-525.

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