Multiple regression and inference in ecology and conservation biology: Further comments on identifying important predictor variables

Biodiversity and Conservation

Volumn 11, Issue 8, 2002, Pages 1397-1401

  Mac Nally, Ralph ^a  

^a MONASH UNIVERSITY   (Australia)

Author keywords

Correlated variables; General linear model; Prediction; Variable subsets

Indexed keywords

ECOLOGY; MULTIPLE REGRESSION; NATURE CONSERVATION; STATISTICAL ANALYSIS;

EID: 0036339895     PISSN: 09603115     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1016250716679     Document Type: Article

References (12)

1. A new method for non-parametric multivariate analysis of variance
2. Occurrence patterns of bird species in habitat fragments: Sampling, extinction, and nested species subsets
3. Model selection: An integral part of inference
4. Hierarchical partitioning
5. Comment on Chevan and Sutherland
6. Non-parametric multivariate analyses of changes in community structure
7. Effects of patch area and habitat on bird abundances, species numbers and tree health in fragmented Victorian forests
8. Hierarchical partitioning as an interpretative tool in multivariate inference
9. Regression and model-building in conservation biology, biogeography and ecology: The distinction between - And reconciliation of - 'Predictive' and 'explanatory' models
10. Forecasting the impacts of habitat fragmentation. Evaluation of species-specific predictions of the impact of habitat fragmentation on birds in the box-ironbark forests of central Victoria, Australia