Theme 1C: Development of new methodologies of measurement of ecological structure and function
Programme 1: Ecology in coastal habitats
Theme 1C: Development of new methodologies of measurement of ecological structure and function
The Centre is a major focus for international efforts to develop and improve the methods used to investigate ecological patterns and processes. Current research efforts are focussed on methods for understanding spatial scales of variation in abundances of single species and of complex sets of species. Without this research, it is impossible to predict the consequences of human changes to coastal habitats, nor is it possible to make coherent plans for marine reserves.
The Centre is also very active in experimental analyses of biodiversity in different habitats and, particularly, how to measure changes through time and differences in space in the complex, interacting assemblages of species that make up coastal biodiversity. Other research projects are testing hypotheses from models about the processes linking ecological functions in a habitat and the local variations in diversity of the animals that bring about these functions. Without this research, conservation of biodiversity, restoration of habitats and understanding and managing impacts are impossible goals for Australian coastal communities.
Using remote sensing to obtain information about mudflats
For further information, see the following publications
Anderson, M.J. (2001). A new method for non-parametric multivariate analysis of variance. Austral Ecology , Vol. 26, pp. 32-46.
Anderson, M.J. (2001). Permutation tests for univariate or multivariate analysis of variance and regression. Canadian Journal of Fisheries and Aquatic Sciences , Vol. 58, pp. 626-639.
Anderson, M.J. (1999). Analyses of Wyong vegetation data, Final report to Anne Clements and Associates Pty. Ltd., Sydney.
Anderson, M.J. (1998). Response to comments by Morrison concerning multivariate analyses of vegetation data from Toongabbie, Final report to Anne Clements and Associates Pty. Ltd., Sydney.
Anderson, M.J. (1997). Cluster analyses of Toongabbie vegetation data, Final report to Anne Clements and Associates Pty. Ltd., Sydney.
Anderson, M.J. & N.A. Gribble (1998). Partitioning the variation among spatial, temporal and environmental components in a multivariate data set. Australian Journal of Ecology , Vol. 23, pp. 158-167.
Anderson, M.J. & P. Legendre (1999). An empirical comparison of permutation methods for tests of partial regression coefficients in a linear model. Journal of Statistical Computation and Simulation , Vol. 62, pp. 271-303.
Anderson, M.J. & J. Robinson (2001). Permutation tests for linear models. Australian and New Zealand Journal of Statistics , Vol. 43, pp. 75-88.
Anderson, M.J. & C.J.F. ter Braak (2003). Permutation tests for multi-factorial analysis of variance. Journal of Statistical Computation and Simulation , Vol. 73, pp. 85-113.
Carruthers, T.R. (2003). A critical review of bio-indication in ecology. M. Quant. Mar. Ecol. thesis, University of Sydney.
Chapman, M.G. (2003). Development of valid methods for SoE reporting of changes to coastal diversity, Progress report to the Environmental Protection Authority, for July 2001 to June 2002
Chapman, M.G. & A.J. Underwood (2005). Benthic macrofauna colonizing artificial units of habitat in Kogarah Bay, Final Report submitted to Kogarah Council.
Chapman, M.G. & A.J. Underwood (2004). Macrofauna in artifical units of habitat in Kogarah Bay: preliminary report, Report for Kogarah Municipal Council.
Chapman, M.G. & A.J. Underwood (1999). Ecological patterns in multivariate assemblages: information and interpretation of negative values in Anosim tests. Marine Ecology Progress Series , Vol. 180, pp. 257-265.
Crowe, T.P. & A.J. Underwood (1999). Differences in dispersal of an intertidal gastropod in two habitats: the need for and design of repeated experimental transplantation. Journal of Experimental Marine Biology and Ecology , Vol. 237, pp. 31-60.
Fletcher, D.J. & A.J. Underwood (2002). How to cope with negative estimates of components of variance in ecological field studies. Journal of Experimental Marine Biology and Ecology , Vol. 273, pp. 89-95.
Hunt, J.E.G. (2000). The assessment of surrogates for the assemblages of fauna associated with intertidal algal beds. B.Sc. Honours thesis, University of Sydney.
Iliadou, K. & M.J. Anderson (1998). Morphometric comparative analysis of pharyngeal bones of the genus Scardinus (Pisces: Cyprinidae) in Greece. Journal of Natural History , Vol. 32, pp. 23-941.
Lasiak, T.A. (2003). Review of surrogate measures of biodiversity: survey techniques, sampling designs and data analysis. Report for New South Wales Fisheries.
Legendre, P. & M.J. Anderson (1999). Distance-based redundancy analysis: testing multispecies responses in multifactorial ecological experiments. Ecological Monographs , Vol. 69, pp. Jan-24.
McArdle, B.H. & M.J. Anderson (2001). Fitting multivariate models to semi-metric distances: a comment on distance-based redundancy analysis. Ecology , Vol. 82, pp. 290-297.
Murphy, R.J., T. Tolhurst, M.G. Chapman & A.J. Underwood (2004). Estimation of surface chlorophyll on an exposed mudflat using digital colour-infrared (CIR) photography. Estuarine Coastal and Shelf Science , Vol. 59, pp. 625-638.
Range, P. (2007). Ecological impacts of changing biodiversity. Ph.D. thesis, University of Sydney.
Scott, B.A. (1998). Selecting subsets of species for indicating multivariate ecological change. B.Sc. Honours thesis, University of Sydney.
Underwood, A.J. (1998). Quantitative ecological sampling of molluscs. In: Mollusca: the southern synthesis. Fauna of Australia Vol. 5 Part A , edited by P.L. Beesley, J.G.B. Ross & A. Wells, CSIRO Publishing, Melbourne, pp. 104-105.
Underwood, A.J. & M.G. Chapman (1999). Problems and practical solutions for quantitative assessment of biodiversity of invertebrates in coastal habitats. In: The other 99%. The conservation and biodiversity of invertebrates , edited by W. Ponder & D. Lunney, Royal Zoological Society of New South Wales, Mosman, pp. 19-25.
Underwood, A.J. & M.G. Chapman (2005). Design and analysis in benthic surveys. In: Methods for the study of marine benthos , edited by A. Eleftheriou & A.D. McIntyre, Blackwell Science, Oxford, pp. 1-42.
Underwood, A.J. & M.G. Chapman (2003). Problems of measuring biodiversity in coastal habitats: a summary of issues. In: Conserving marine environments. Out of sight out of mind , edited by P. Hutchings & D. Lunney, Royal Zoological Society of New South Wales, Mosman, NSW., pp. 103-107.
Underwood, A.J. & M.G. Chapman (1998). A method for analysing spatial scales of variation in composition of assemblages. Oecologia , Vol. 117, pp. 570-578.
Underwood, A.J. & M.G. Chapman (1998). Spatial analyses of intertidal assemblages on sheltered rocky shores. Australian Journal of Ecology , Vol. 23, pp. 138-157.
Webley, J. (2002). Artificial habitats: Modelling how attraction affects organism abundance. Honours thesis, University of Sydney.
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