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Making empirical progress in observational ecology

Published online by Cambridge University Press:  25 September 2008

M. AARON MACNEIL*
Affiliation:
National Research Council, NOAA Panama City Laboratory, 3500 Delwood Beach Road, Panama City Beach, FL, 32408, USA
*
*Correspondence: Dr Aaron MacNeil Tel: +1 850 234 6541 ext. 257 Fax: +1 850 235 3559 e-mail: macneil@glau.ca

Extract

Epistemology, the theory of how knowledge arises, is an issue that ecologists and environmental scientists may not often consider in their work. However, beliefs about epistemology play a direct role in how they conduct research and, consciously or not, the conclusions made through analysis reflect some form of epistemology. I argue that the Popperian epistemology by which most environmental scientists are trained is generally incompatible with research on observational data and that observation-based studies can be improved by modifying Popper's notion of falsification.

Type
EC Perspectives
Copyright
Copyright © Foundation for Environmental Conservation 2008

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References

Almany, G. (2003) Priority effects in coral reef fish communities. Ecology 84 (7): 19201935.CrossRefGoogle Scholar
Bellwood, D., Hughes, T., Folke, C. & Nyström, M. (2004) Confronting the coral reef crisis. Nature 429: 827833.CrossRefGoogle ScholarPubMed
Belovsky, G., Botkin, D., Crowl, T., Cummins, K., Franklin, J., Hunter Jr, M., Joern, A., Lindenmayer, D., MacMahon, J., Margules, C. & Scott, J. (2004) Ten suggestions to strengthen the science of ecology. BioScience 54 (4): 345351.CrossRefGoogle Scholar
Burnham, K. & Anderson, D. (2002) Model Selection and Multimodel Inference: a Practial Information-theoretic Approach. Second edition. New York, NY, USA: Springer-Verlag.Google Scholar
Carpenter, S. (1990) Large-scale perturbations: opportunities for innovation. Ecology 71 (6): 20382043.CrossRefGoogle Scholar
Carpenter, S. (2002) Ecological futures: building an ecology of the long now. Ecology 83 (8): 20692083.Google Scholar
Doherty, P. (2002) Coral Reef Fishes. Dynamics and Diversity in a Complex Ecosystem. San Diego, CA, USA: Academic Press.Google Scholar
Doherty, P. & Fowler, T. (1994) An empirical test of recruitment limitation in a coral reef fish. Science 263 (5149): 935939.CrossRefGoogle Scholar
Feynman, R. (1985) Surely You're Joking Mr Feynman. New York, NY, USA: W.W. Norton and Sons.Google Scholar
Fisher, R. (1925) Statistical Methods for Research Workers. London, UK: Oliver and Boyd.Google Scholar
Fukami, T. & Wardle, D. (2005) Long-term ecological dynamics: reciprocal insights from natural and anthropogenic gradients. Proceedings of the Royal Society of London B 272: 21052115.Google ScholarPubMed
Galzin, R. (1987) Structure of fish communities of French Polynesian coral reefs. II. Temporal scales. Marine Ecology – Progress Series 41: 137145.Google Scholar
Gelman, A., Carlin, J., Stern, H. & Rubin, D. (2004) Bayesian Data Analysis. Second edition. New York, NY, USA: Chapman and Hall.Google Scholar
Grace, J. (2006) Structural Equation Modelling and Natural Systems. Cambridge, UK: Cambridge University Press.CrossRefGoogle Scholar
Hilborn, R. & Ludwig, D. (1993) The limits of applied ecological research. Ecological Applications 3 (4): 550552.CrossRefGoogle ScholarPubMed
Hilborn, R. & Mangel, M. (1997) The Ecological Detective. Monographs in Population Biology, no. 28. Princeton, USA: Princeton University Press.Google Scholar
Hixon, M. (1991) Predation as a process structuring coral reef fish communities. In: The Ecology of Fishes on Coral Reefs, ed. Sale, P., pp. 475508. San Diego, CA, USA: Academic Press.CrossRefGoogle Scholar
Hobbs, N. & Hilborn, R. (2006) Alternatives to statistical hypothesis testing in ecology: a guide to self teaching. Ecological Applications 16 (1): 519.CrossRefGoogle ScholarPubMed
Hurlbert, S. (1984) Pseudoreplication and the design of ecological field experiments. Ecological Monographs 54 (2): 187211.CrossRefGoogle Scholar
James, M., Armsworth, P., Mason, L. & Bode, L. (2002) The structure of reef fish metapopulations: modelling larval dispersal and retention patterns. Proceedings of the Royal Socitey of London B 269: 20792086.CrossRefGoogle ScholarPubMed
Loehle, C. (1990) Philosophical tools: reply to Shrader-Frechette and McCoy. Oikos 58 (1):115119.CrossRefGoogle Scholar
MacKenzie, D., Nichols, J., Royle, J., Pollock, K., Hines, J. & Bailey, L. (2006) Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence. San Diego, CA, USA: Elsevier.Google Scholar
Popper, K. (1934) Logik der Forschung. Vienna, Austria: Mohr Siebeck.Google Scholar
Quinn, J. & Dunham, A. (1983) On hypothesis testing in ecology and evolution. The American Naturalist 122 (5): 602617.CrossRefGoogle Scholar
Schrader-Frechette, K. & McCoy, E. (1994) What can ecology do for environmental management. Journal of Environmental Management 41: 293307.CrossRefGoogle Scholar
Shima, J. (1999) Variability in relative importance of determinants of reef fish recruitment. Ecology Letters 2: 304310.Google Scholar
Simberloff, D. (1983) Competition theory, hypothesis-testing, and other community ecological buzzwords. The American Naturalist 122 (5): 626635.CrossRefGoogle Scholar
Simberloff, D. & Wilson, E. (1969) Experimental zoogeography of islands: the colonisation of empty islands. Ecology 50 (2): 278296.CrossRefGoogle Scholar
Underwood, A. (2000) Observations in ecology: you can't make progress on processes without understanding the patterns. Journal of Experimental Marine Biology and Ecology 250: 97115.CrossRefGoogle ScholarPubMed
Vucetich, J., Peterson, R. & Schaefer, C. (2002) The effect of prey and predator densities on wolf predation. Ecology 83 (11): 30033012.CrossRefGoogle Scholar
Willis, T. & Anderson, M. (2003) Structure of cryptic reef fish assemblages: relationships with habitat characteristics and predator density. Marine Ecology - Progress Series 257: 209221.CrossRefGoogle Scholar
Wilson, S., Graham, N., Pratchett, M., Jones, G. & Polunin, N. (2006) Multiple disturbances and the global degradation of coral reefs: are reef fishes at risk or resilient? Global Change Biology 12: 22202234.CrossRefGoogle Scholar