Habitat scale and biodiversity: influence of catchment, stream reach and bedform scales on local invertebrate diversity

[1]  Donald Edward,et al.  AusRivAS: using macroinvertebrates to assess ecological condition of rivers in Western Australia , 1999 .

[2]  T. R. E. Southwood,et al.  HABITAT, THE TEMPLET FOR ECOLOGICAL STRATEGIES? , 1977 .

[3]  Geoffrey E. Hinton,et al.  Learning representations by back-propagating errors , 1986, Nature.

[4]  S. Dolédec,et al.  The intermediate disturbance hypothesis, refugia, and biodiversity in streams , 1997 .

[5]  B. W. Sweeney.  Effects of Streamside Vegetation on Macroinvertebrate Communities of White Clay Creek in Eastern North America , 1993 .

[6]  Todd A. Crowl,et al.  The relationship between land use and physicochemistry, food resources and macroinvertebrate communities in tributaries of the Taieri River, New Zealand: a hierarchically scaled approach , 1997 .

[7]  M. Wolman.  A method of sampling coarse river‐bed material , 1954 .

[8]  Charles E. McCulloch,et al.  MULTIVARIATE ANALYSIS IN ECOLOGY AND SYSTEMATICS: PANACEA OR PANDORA'S BOX? , 1990 .

[9]  M. Scarsbrook,et al.  Transition from pasture to native forest land‐use along stream continua: Effects on stream ecosystems and implications for restoration , 1999 .

[10]  A. T. C. Goh,et al.  Back-propagation neural networks for modeling complex systems , 1995, Artif. Intell. Eng..

[11]  Sovan Lek,et al.  Energy availability and habitat heterogeneity predict global riverine fish diversity , 1998, Nature.

[12]  M. Scardi.  Artificial neural networks as empirical models for estimating phytoplankton production , 1996 .

[13]  C. Townsend,et al.  Patchy surface stone movement during disturbance in a New Zealand stream and its potential significance for the fauna , 1999 .

[14]  C. Townsend,et al.  Species traits in relation to a habitat templet for river systems , 1994 .

[15]  Colin R. Townsend,et al.  Assessment of river health: accounting for perturbation pathways in physical and ecological space , 1999 .

[16]  Sang-Hyo Kim,et al.  Structural Monitoring System Based on Sensitivity Analysis and a Neural Network , 2000 .

[17]  L. Corkum.  Patterns of benthic invertebrate assemblages in rivers of northwestern North America , 1989 .

[18]  S. Lek,et al.  The use of artificial neural networks to assess fish abundance and spatial occupancy in the littoral zone of a mesotrophic lake , 1999 .

[19]  Joel C. Trexler,et al.  Nontraditional Regression Analyses , 1993 .

[20]  I. Dimopoulos,et al.  Application of neural networks to modelling nonlinear relationships in ecology , 1996 .

[21]  J. Quinn,et al.  Characterisation and classification of benthic invertebrate communities in 88 New Zealand rivers in relation to environmental factors , 1990 .

[22]  M. Winterbourn,et al.  Are New Zealand stream ecosystems really different , 1981 .

[23]  G. Minshall,et al.  The River Continuum Concept , 1980 .

[24]  T. F. Waters.  The Drift of Stream Insects , 1972 .

[25]  Aemal J. Khattak,et al.  Techniques for automated extraction of roadway inventory features from high-resolution satellite imagery , 1999 .

[26]  B. Efron.  Estimating the Error Rate of a Prediction Rule: Improvement on Cross-Validation , 1983 .

[27]  C. Townsend,et al.  Field Experiments on the Drifting, Colonization and Continuous Redistribution of Stream Benthos , 1976 .

[28]  J. Connell.  Diversity in tropical rain forests and coral reefs. , 1978, Science.

[29]  Ron Kohavi,et al.  A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection , 1995, IJCAI.

[30]  M. Winterbourn,et al.  Guide to the aquatic insects of New Zealand. 3rd edition. , 1981 .

[31]  DANA L. THOMAS,et al.  Study Designs and Tests for Comparing Resource Use and Availability II , 2006 .

[32]  R. Death,et al.  Diversity Patterns in Stream Benthic Invertebrate Communities: The Influence of Habitat Stability , 1995 .

[33]  W. J. Walley,et al.  Neural network predictors of average score per taxon and number of families at unpolluted river sites in Great Britain , 1998 .

[34]  Elie Bienenstock,et al.  Neural Networks and the Bias/Variance Dilemma , 1992, Neural Computation.

[35]  G. Minshall.  Stream Ecosystem Theory: A Global Perspective , 1988, Journal of the North American Benthological Society.

[36]  John A. Wiens,et al.  Habitat occupancy patterns of North American shrubsteppe birds: the effects of spatial scale , 1987 .

[37]  James L. Carter,et al.  The relationships among three habitat scales and stream benthic invertebrate community structure , 1996 .

[38]  A. Huryn,et al.  Landcover Classification in the Taieri River Catchment, New Zealand: A Focus on the Riparian Zone , 1999 .

[39]  Mike T. Furse,et al.  The prediction of the macro‐invertebrate fauna of unpolluted running‐water sites in Great Britain using environmental data , 1987 .

[40]  C. Hawkins,et al.  Biodiversity of stream insects: variation at local, basin, and regional scales. , 1998, Annual review of entomology.

[41]  D. Williams.  Some relationships between stream benthos and substrate heterogeneity , 1980 .

[42]  G. David Garson,et al.  Interpreting neural-network connection weights , 1991 .

[43]  Judith Meyer,et al.  Benthic macroinvertebrate community structure, function and production with respect to habitat type, reach and drainage basin in the southern Appalachians (U.S.A.) , 1995 .

[44]  Sovan Lek,et al.  Artificial Neuronal Networks , 2000 .

[45]  Timothy D. Reynolds,et al.  STUDY DESIGNS AND TESTS FOR COMPARING RESOURCE USE AND AVAILABILITY , 1990 .

[46]  M. Palmer,et al.  Dispersal as a regional process affecting the local dynamics of marine and stream benthic invertebrates. , 1996, Trends in ecology & evolution.

[47]  Sovan Lek,et al.  Abundance, diversity, and structure of freshwater invertebrates and fish communities: An artificial neural network approach , 2001 .

[48]  Sovan Lek,et al.  Predicting fish distribution in a mesotrophic lake by hydroacoustic survey and artificial neural networks , 1999 .