You have free access to this content
Partial least squares regression as an alternative to current regression methods used in ecology
Article first published online: 15 JAN 2009
DOI: 10.1111/j.1600-0706.2008.16881.x
© 2009 The Authors
Additional Information
How to Cite
Carrascal, L. M., Galván, I. and Gordo, O. (2009), Partial least squares regression as an alternative to current regression methods used in ecology. Oikos, 118: 681–690. doi: 10.1111/j.1600-0706.2008.16881.x
Publication History
- Issue published online: 28 APR 2009
- Article first published online: 15 JAN 2009
- Manuscript Accepted 17 November 2008
References
- . 2007. Partial least square regression (PLS regression). – In: Salkind, N. J. (ed.), Encyclopedia of measurement and statistics. Sage.
- et al. 2005. Influence of nitrate availability on the distribution and abundance of heterotrophic bacterial nitrate assimilation genes in the Barents Sea during summer. Aquat. Microbiol. Ecol. 39: 247–255.
- et al. 2004. A step toward the definition of ecological indicators of the impact of fishing on the fish assemblage of the Abore reef reserve (New Caledonia). Aquat. Living Resour. 17: 139–149.
- and . 2000. The N-way toolbox for MATLAB. Chemometr. Intell. Lab. 52: 1–4.
- et al. 2006. Uncertainties in modelling of climate change impact in future: an example of onion thrips (Thrips tabaci Lindeman) in Slovenia. Ecol. Modell. 194: 244–255.
- and . 2002. Model selection and multimodel inference. Springer.
- and . 2002. Factors affecting bird species richness in Selvagem and Canary Islands. Ardeola 49: 211–221.
- and . 2006. Habitat use under latent predation risk. A case study with wintering forest birds. Oikos 112: 51–62.
- et al. 2007. Local and landscape effects on the butterfly community in fragmented Midwest USA prairie habitats. Landscape Ecol. 9: 1341–1354.
- et al. 2005. Forest soil respiration rate and delta C-13 is regulated by recent above ground weather conditions. Oecologia 143: 136–142.
- et al. 2007. Functional PLS logit regression model. Comput. Stat. Data Anal. 51: 4891–4902.
- et al. 2007. Modern pollen assemblages as climate indicators in southern Europe. Global Ecol. Biogeogr. 16: 567–582.
- and . 1993. A statistical view of some chemometrics regression tools. Technometrics 35: 109–135.
- and . 1986. Partial least-squares regression – a tutorial. Anal. Chim. Acta. 185: 1–17.
- et al. 2008. Geographic variation in onset of singing among populations of two migratory birds. Acta Oecol. 34: 50–64.
- . 1989. Ecological experiments. Purpose, design and execution. Cambridge Univ. Press.
- . 2004. Site-occupancy in relation to flight-morphology in caddisflies. Freshwater Biol. 49: 810–817.
- and . 2003. Robust methods for partial least squares regression. J. Chemometr. 17: 537–549.
- and . 1985. Data analysis and the design of experiments in ornithology. Curr. Ornithol. 2: 1–63.
- and . 2004. Model selection in ecology and evolution. Trends Ecol. Evol. 19: 101–108.
- et al. 2007. Biogeochemical response of an intact coastal sediment to organic matter input: a multivariate approach. Mar. Ecol. Progr. Ser. 342: 15–25.
- et al. 2006. Factors influencing the distribution of chironomids in lakes distributed along a latitudinal gradient in northwestern Quebec, Canada. Can. J. Fish. Aquat. Sci. 63: 1286–1297.
- . 2004. On the importance of patch attributes, environmental factors and past human impacts as determinants of perennial plant species richness and diversity in Mediterranean semiarid steppes. Div. Distr. 10: 21–29.
- et al. 1986. Partial least-squares regression on design variables as an alternative to analysis of variance. Anal. Chim. Acta. 191: 133–148.
- and . 2007. The pls package: principal components and partial least squares regression in R. J. Stat. Software 18: 1–24.
- and . 2007. Habitat associations of a raptor community in a mosaic landscape of central Spain under urban development. Landscape Urban Plan. 83: 268–274.
- et al. 2004. Quantifying species indicator values for trophic diatom indices: a comparison of approaches. Hydrobiologia 517: 25–41.
- and . 1983. On hypothesis testing in ecology and evolution. Am. Nat. 122: 602–617.
- SAS. 2001. SAS/STAT user's guide, ver. 8.01. SAS Inst.
- . 2005. Imaging spectroscopy as a tool for mapping Ellenberg indicator values. J. Appl. Ecol. 42: 966–974.
- et al. 2004. A modern pollen climate calibration set from northern Europe: developing and testing a tool for palaeoclimatological reconstructions. J. Biogeogr. 31: 251–267.
- et al. 2007. Patterns and regulation of dissolved organic carbon: an analysis of 7500 widely distributed lakes. Limnol. Oceanogr. 52: 1208–1219.
- . 2003. Catchment area composition and water chemistry heavily affects mercury levels in perch (Perca fluviatilis L.) in circumneutral lakes. Water Air Soil Pollut. 144: 117–139.
- et al. 2008. Environmetrics to evaluate marine environment quality. Environ. Monit. Assess. 143: 215–225.
- StatSoft. 2001. Statistica (data analysis software system), ver. 6 <www.statsoft.com‰>..
- et al. 2003. Covariance of bacterioplankton composition and environmental variables in a temperate delta system. Aquat. Microbiol. Ecol. 31: 85–98.
- and . 2004. Co-correspondence analysis: a new ordination method to relate two community compositions. Ecology 85: 834–846.
- . 2003. An Introduction to partial least squares regression <http://www.ats.ucla.edu/stat/sas/library/pls.pdf>..
- et al. 2006. Why do we still use stepwise modelling in ecology and behaviour?. J. Anim. Ecol. 75: 1182–1189.
- . 1975. Soft modelling by latent variables; the nonlinear iterative partial least squares approach. – In: Gani, J. (ed.), Perspectives in probability and statistics. Papers in honour of M. S. Barlett. Academic Press, pp. 117–142.
- et al. 2001. PLS regression: a basic tool of chemometrics. Chemometr. Intell. Lab. 58: 109–130.
- et al. 2007. A chironomid-based salinity inference model from lakes on the Tibetan Plateau. J. Paleolimnol. 38: 477–491.
- et al. 2007. Characterizing and estimating rice brown spot disease severity using stepwise regression, principal component regression and partial least-square regression. J. Zhejiang Univ. Sci. B 8: 738–744.

1600-0706/asset/bannerforeground.gif?v=1&s=c8bcdc312039162ac838a8addedd8972de00c3d8)
