Primary Research Article
Predicting cyanobacterial dynamics in the face of global change: the importance of scale and environmental context
Version of Record online: 9 OCT 2012
© 2012 Blackwell Publishing Ltd
Global Change Biology
Volume 18, Issue 12, pages 3477–3490, December 2012
How to Cite
Taranu, Z. E., Zurawell, R. W., Pick, F. and Gregory-Eaves, I. (2012), Predicting cyanobacterial dynamics in the face of global change: the importance of scale and environmental context. Global Change Biology, 18: 3477–3490. doi: 10.1111/gcb.12015
- Issue online: 29 OCT 2012
- Version of Record online: 9 OCT 2012
- Accepted manuscript online: 1 SEP 2012 02:23AM EST
- Manuscript Accepted: 16 AUG 2012
- Manuscript Revised: 5 JUL 2012
- Manuscript Received: 19 MAR 2012
- Natural Science and Engineering Research Council
- Fonds Québécois de la Recherche sur la Nature et les Technologies
|gcb12015-sup-0001-TableS1-S4.docx||Word document||62K|| |
Table S1. Literature review results documenting the relative importance of cyanobacteria drivers.
Table S2. Nonlinear relationships between seasonality and environmental variables.
Table S3. Autocorrelation function (acf) for all environmental variables.
Table S4. Results from competing linear mixed-effect models which differ in random effect structures.
|gcb12015-sup-0002-FigureS1.eps||image/eps||366K||Figure S1. Nonlinear response curves for the relationship between double-root transformed cyanobacterial biomass (CB) and day of the year (DOY) (blue line), and between TP (untransformed) and DOY (green line) for the dimictic basins [(a) Ethel, (b) Baptiste South] and polymictic basins [(c) Baptiste North, (d) Nakamun, and (e) Wabamun basins].|
|gcb12015-sup-0003-Appendix1.docx||Word document||25K||Appendix 1. Study site information.|
|gcb12015-sup-0004-Appendix2.docx||Word document||128K||Appendix 2. Description of Additive Mixed-effects Models (AMMs) methods.|
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