Regression and model-building in conservation biology, biogeography and ecology: The distinction between – and reconciliation of – ‘predictive’ and ‘explanatory’ models
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Automated regression techniques such as stepwise selection and backward elimination have issues including erroneous type I error rates and inflated R2 measures.
“We did not utilize automated regression techniques, such as stepwise selection and backward elimination, due to a variety of issues including erroneous type I error rates and inflated R2 measures (33).”
From Climate-driven declines in arthropod abundance restructure a rainforest food web (2018) · cites this paper as [33]
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Climate-driven declines in arthropod abundance restructure a rainforest food web
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- Authors
- Mac Nally, R.
- Venue
- Biodiversity & Conservation
- Published
- 2000-05
- Volume
- 9
- Issue
- 5
- Pages
- 655-671
- ISSN
- 0960-3115 (ISSN-L)
- 1572-9710
- OpenAlex
- W226176070
- Cited by
- 938
- References
- 51
- Citations by year
- 2026: 13 · 2025: 13 · 2024: 13 · 2023: 27 · 2022: 19 · 2021: 37 · 2020: 41 · 2019: 22 · 2018: 30 · 2017: 43 · 2016: 47 · 2015: 48 · 2014: 65 · 2013: 64 · 2012: 55
- FWCI
- 19.96
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Biodiversity and Conservation (publishedVersion)
- Funders
- Australian Research Council
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Inference
- Physical Sciences › Environmental Science › Ecological Modeling › Species Distribution and Climate Change
- Keywords
- regression models, multicollinearity, model selection, multiple linear regression, causal inference, conservation biology, biogeography, ecology
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