SEARCH

SEARCH BY CITATION

References

  • Barnett, V. & Price, T. (1995) Outliers in Statistical Data. 3rd edn. Wiley, New York.
  • Begum, S., Basova, L., Strahl, J., Sukhotin, A., Heilmayer, O., Brey, T. & Abele, D. (2009) A metabolic model for the ocean quahog Arctica islandica - effects of animal mass and age, temperature, salinity and geography on respiration rate. Journal of Shellfish Research, 28, 533539.
  • Bejan, A. & Marden, J.H. (2006) Unifying constructal theory for scale effects in running, swimming and flying. Journal of Experimental Biology, 209, 238248.
  • Belgrano, A., Malmgren, B.A. & Lindahl, O. (2001) Application of artificial neural networks (ANN) to primary production time-series data. Journal of Plankton Research, 23, 651658.
  • Belgrano, A., Scharler, U.M., Dunne, J. & Ulanowicz, R. (2005) Aquatic Food Webs: An Ecosystem Approach. Oxford University Press, Oxford, U.K.
  • Brey, T. (2001) The Virtual Handbook on Population Dynamics of Benthic Invertebrates. URL http://www.thomas-brey.de/science/virtualhandbook/.
  • Brey, T., Jarre-Teichmann, A. & Borlich, O. (1996) Artificial neural network versus multiple linear regression: Predicting P/B ratios from empirical data. Marine Ecology Progress Series, 140, 251256.
  • Brockington, S. & Peck, L. (2001) Seasonality of respiration and ammonium excretion in the Antarctic echinoid Sterechinus neumayeri. Marine Ecology Progress Series, 219, 159168.
  • Brody, S. & Procter, R.C. (1932) Relation between basal metabolism and mature body weight in different species of mammals and bords. Univ. Missouri Agricult Experimental Station Research Bulletin, 116, 89101.
  • Brown, J.H., Gillooly, J.F., Allen, A.P., Savage, V.M. & West, G.B. (2004) Towards a metabolic theory of ecology. Ecology, 85, 17711789.
  • Childress, J.J., Cowles, D.L., Favuzzi, J.A. & Mickel, T.J. (1990) Metabolic rates of benthic deep-sea decapod crustaceans decline with increasing depth primarily due to the decline in temperature. Deep Sea Research, 37, 929949.
  • Childress, J.J., Seibel, B.A. & Thuesen, E.V. (2008). N-specific metabolic data are not relevant to the ‘visual interactions’ hypothesis concerning the depth-related declines in metabolic rates: Comment on Ikeda et al. (2006). Marine Ecology Progress Series, 373, 187191.
  • Christensen, V., Walters, C.J. & Pauly, D. (2005) Ecopath with Ecosim: A User’s Guide, November 2005 edition, 154 pp. Fisheries Centre, University of British Columbia, Vancouver. URL http://www.ecopath.org.
  • Clarke, A. & Johnston, N.M. (1999) Scaling of metabolic rate with body mass and temperature in teleost fish. Jornal of Animal Ecology, 68, 893905.
  • Dabrowski, K. (2007) Energy utilization during swimming and cost of locomotion in larval and juvenile fish. Journal of Applied Ichthyology, 2, 110117.
  • Davis, L.E. & Schreck, C.B. (1997) The energetic response to handling stress in Juvenile Coho Salmon. Transactions of the American Fisheries Society, 126, 248258.
  • Dayhoff, J.E. (1990) Neural Network Architectures An Introduction. VNR Press, New York, USA.
  • Dedecker, A.P., Goethals, P.L.M., D’heygere, T., Gevrey, M., Lek, P. & De Pauw, N. (2005) Application o Artificial Neural Network models to analyse the relationships between Gammarus pulex L. (Crustacea, Amphipoda) and river characteristics. Environmental Monitoring and Assessment, 111, 223241.
  • Del Giorgio, P.A. & Duarte, C.M. (2002) Respiration in the open ocean. Nature, 420, 379384.
  • Del Giorgio, P.A. & Williams, P.B. (2005) Respiration in Aquatic Ecosystems. Oxford University Press, Oxford, U.K.
  • Draper, N.R. & Smith, H. (1981) Applied Regression Analysis, 2nd edn. Wiley, New York.
  • Drazen, J.C. & Seibel, B.A. (2007) Depth-related trends in metabolism of benthic and benthopelagic deep-sea fishes. Limnology and Oceanography, 52, 23062316.
  • Duncan, R.P., Forsyth, D.M. & Hone, J. (2007) Testing the metabolic theory of ecology: allometric scaling exponents in mammals. Ecology, 88, 324333.
  • Elliott, J.M. & Davison, W. (1975) Energy equivalents of oxygen consumption in animal energetics. Oecologia, 19, 195201.
  • Fausett, L.V. (1994) Fundamentals of Neural Networks. Prentice Hall, Englewood Cliffs, NJ, USA.
  • Gatti, S., Brey, T., Müller, W.E.G., Heilmayer, O. & Holst, G. (2002) Oxygen microoptodes: a new tool for oxygen measurements in aquatic animal ecology. Marine Biology, 140, 10751085.
  • Gillooly, J.F., Brown, J.H., West, G.B., Savage, V.M. & Charnov, E.L. (2001) Effects of size and temperature on metabolic rate. Science, 293, 22482251.
  • van Ginneken, V.J.T., Gluvers, A., van der Linden, R.W., Addink, A.D.F. & van den Thillart, G.E.E.J.M. (1994) Direct calorimetry of aquatic animals: automated and computerized data-acquisition system for simultaneous direct and indirect calorimetry. Thermochimica Acta, 247, 209224.
  • Glazier, D.S. (2006) The ¾-power law is not universal: evolution of isometric, ontogenetic metabolic scaling in pelagic animals. BioScience, 56, 325332.
  • Gnaiger, E. (1983) Calculation of energetic and biochemical equivalents of respiratory oxygen consumption. In: Polarographic Oxygen Sensors (eds E.Gnaiger & H.Forstner), pp. 337345. Springer, Berlin, Germany.
  • Gnaiger, E. & Forstner, H. (1983) Polarographic Oxygen Sensors. Aquatic and Physiological Applications. Springer, New York.
  • Hagan, M.T., Demuth, H.B. & Beale, M.H. (1996) Neural Network Design. PWS Publishing Company, Boston, USA.
  • Hernández-León, S. & Ikeda, T. (2005) A global assessment of mesozoo-plankton respiration in the ocean. Journal of Plankton Research, 27, 153158.
  • Herring, P.C. (2002) The Biology of the Deep Ocean. Oxford University Press, Oxford, UK.
  • Ikeda, T., Sano, F., Yamaguchi, A. & Matsuishi, T. (2006) Metabolism of mesopelagic and bathypelagic copepods in the western North Pacific Ocean. Marine Ecology Progress Series, 322, 199211.
  • Ivlev, V.S. (1934) Eine Mikromethode zur Bestimmung des Kaloriengehalts von Naehrstoffen. Biochemische Zeitschrift, 275, 4955.
  • Kleiber, M. (1932) Body size and metabolism. Hilgardia, 6, 315353.
  • Kozlowski, J. & Konarzewski, M. (2004) Is West, Brown and Enquist’s model of allometric scaling mathematically correct and biologically relevant? Functional Ecology, 18, 283289.
  • Kozlowski, J., Konarzewski, M. & Gawelczyk, A.T. (2002) Intrapsecific body size optimization produces interspecific allometries. In: Macroecology: Concepts and Consequences (eds T.M.Blackburn & K.J.Gaston), pp. 299320. Blackwell Scientific, London, U.K.
  • Lawton, J.H. & Richards, J. (1970) Comparability of Cartesian Diver, Gilson, Warburg and Winkler methods of measuring the respiratory rates of aquatic invertebrates in ecological studies. Oecologia, 4, 319324.
  • Lek, S. & Guégan, J.F. (2000) Artificial Neural Networks – Application to Ecology and Evolution. Springer, Berlin, New York.
  • Lovegrove, B.G. (2000) The Zoogeography of mammalian basal metabolic rate. American Naturalist, 156, 201219.
  • Makarieva, A.M., Gorshkov, V.G., Li, B.L., Chown, S.L., Reich, P.B. & Gavrilov, V.M. (2008) Mean mass-specific metabolic rates are strikingly similar across life’s major domains: evidence for life’s metabolic optimum. Proceedings of the National Academy of Science, 105, 1699416999.
  • McNeill Alexander, R. (2005) Models and the scaling of energy costs for locomotion. Journal of Experimental Biology, 208, 16451652.
  • Morris, S. & Oliver, S. (1999) Circulatory, respiratory and metabolic response to emersion and low temperature of Jasus edwardsii: simulation studies of commercial shipping methods. Comparative Biochemistry and Physiology A, 122, 299308.
  • O’Connor, M.I., Piehler, M.F., Leech, D.M., Anton, A. & Bruno, J.F. (2009) Warming and resource availability shift food web structure and metabolism. PLOS Biology, 7, 16.
  • Olden, J.D. (2003) A species-specific approach of modeling biological communities and its potential for conservation. Conservation Biology, 17, 854863.
  • Pei, H., Luo, N. & Jiang, Y. (2004) Applications of back propagation neural network for predicting the concentration of chlorophyll-a in West Lake. Acta Ecologica Sinica/Shengtai Xuebao, 24, 246251.
  • Schmidt-Nielsen, K. (1972) Locomotion: energy cost of swimming, flying, and running. Science, 177, 222228.
  • Schmidt-Nielsen, K. (1984) Scaling – Why is Animal Size so Important. Cambridge University Press, Cambridge, UK.
  • Schwinghamer, P., Hargrave, B., Peer, D. & Hawkins, C.M. (1986) Partitioning of production and respiration among size groups of organisms in an intertidal benthic community. Marine Ecology Progress Series, 31, 131142.
  • Seibel, B.A. (2007) On the depth and scale of metabolic rate variation: scaling of oxygen consumption rates and enzymatic activity in the Class Cephalopoda (Mollusca). Journal of Experimental Biology, 210, 111.
  • Seibel, B.A. & Drazen, J.C. (2007) The rate of metabolism in marine animals: environmental constraints, ecological demands and energetic opportunities. Philosophical Transactions of the Royal Society B, 362, 20612078.
  • Sukhotin, A.A., Abele, D. & Pörtner, H.-O. (2002) Growth, metabolism and lipid peroxidation in Mytilus edulis: age and size effects. Marine Ecology Progress Series, 226, 223234.
  • Teal, J.M. (1971) Pressure effects on the respiration of vertically migrating decapod crustacea. American Zoologist, 11, 571576.
  • Torres, J.J., Belman, B.W. & Childress, J.J. (1979) Oxygen consumption rates of midwater fishes as a function of depth of occurrence. Deep-Sea Research, 26A, 185197.
  • Weinsier, R.L., Schutz, Y. & Bracco, D. (1990) Reexamination of the relationship of resting metabolic rate to fat-free mass and to the metabolically active components of fat-free mass in humans. American Journal of Clinical Nutrition, 55, 790794.
  • West, G.B., Brown, J.H. & Enquist, B.J. (1997) A general model for the origin of allometric scaling laws in biology. Science, 276, 122126.
  • White, C.R., Phillips, N.F. & Seymour, R.S. (2006) The scaling and temperature dependence of vertebrate metabolism. Biological Letters, 2, 125127.
  • Willems, W., Goethals, P., Van den Eynde, D., Van Hoey, G., Van Lancker, V., Verfaillie, E., Vincx, M. & Degraer, S. (2008) Where is the worm? Predictive modelling of the habitat preferences of the tube-building polychaete Lanice conchilega. Ecological Modelling, 212, 7479.
  • Wołowicz, M., Smolarz, K. & Sokołowsk, A. (2005) Neoplasia in estuarine bivalves: effect of feeding behaviour and pollution in the Gulf of Gdansk (Baltic Sea, Poland). The Comparative Roles of Suspension-Feeders in Ecosystems. NATO Science Series 47 (eds R.F.Dame & S.Olenin), pp. 185182. Springer, the Netherlands.