Appendix
Appendices are any supplementary material that may be associated with a particular article. Most often they are uploaded as pdf:s, but may also consist of excel files, scripts, videos etc. Appendices are searchable via manuscript number, doi or author name.
Supplementary material must follow the guidelines given here:
| Article number | Year | Description | Documents |
|---|---|---|---|
| ECOG-02228 | 2016 | De Palma, A., Dennis, R. L. H., Brereton, T., Leather, S. and Oliver, T. H. 2016. Large reorganizations in butterfly communities during an extreme weather event. – Ecography doi: 10.1111/ecog.02228 |  ecog-02228.pdf |
| ECOG-01904 | 2016 | Esquivel Muelber, A. et al. 2016. Seasonal drought limits tree species across the Neotropics. – Ecography doi: 10.1111/ecog.01904 |  ecog-01904.zip |
| ECOG-02097 | 2016 | Ruffell, J., Clout, M. N. and Didham, R. K. 2016. The matrix matters, but how should we manage it? Estimating the amount of high-quality matrix required to maintain biodiversity in fragmented landscapes. – Ecography doi: 10.1111/ecog.02097 | ecog-02097.pdf |
| ECOG-02449 | 2016 | Fraser, C. I., Kay, G. M., du Plessis, M. and Ryan, P. G. 2016. Breaking down the barrier: dispersal across the Antarctic Polar Front. – Ecography doi: 10.1111/ ecog.02449 | ecog-02449.pdf |
| ECOG-02205 | 2016 | Young, A. M., Higuera, P. E., Duffy, P. A. and Hu, F. S. 2016. Climatic thresholds shape northern highlatitude fire regimes and imply vulnerability to future climate change. – Ecography doi: 10.1111/ecog.02205 | ecog-02205.pdf |
| ECOG-01951 | 2016 | Walter, J. A., Johnson, D. M. and Haynes, K. J. 2016. Spatial variation in Allee effects influences patterns of range expansion. – Ecography doi: 10.1111/ ecog.01951 | ecog-01951.pdf |
| ECOG-02379 | 2016 | Wittemyer, G., Keating, L. M., Vollrath, F. and Douglas-Hamilton, I. 2016. Graph theory illustrates spatial and temporal features that structure elephant rest locations and reflect risk perception. – Ecography doi: 10.1111/ecog.02379 | ecog-02379.pdf |
| ECOG-01945 | 2016 | Aiello-Lammens, M. E., Slingsby, J. A., Merow, C., Mollmann, H. K., Euston-Brown, D., Jones, C. S. and Silander Jr, J. A. 2016. Processes of community assembly in an environmentally heterogeneous, high biodiversity region. – Ecography doi: 10.1111/ecog.01945 | ecog-01945.pdf |
| ECOG-02209 | 2016 | Nunes, G. T., Mancini, P. L. and Bugoni, L. 2016. When Bergmann’s rule fails: evidences of environmental selection pressures shaping phenotypic diversification in a widespread seabird. – Ecography doi: 10.1111/ecog.02209 | ecog-02209.pdf |
| ECOG-02272 | 2016 | Scales, K. L., Hazen, E. L., Jacox, M. G., Edwards, C. A., Boustany, A. M., Oliver, M. J. and Bograd, S. J. 2016. Scale of inference: on the sensitivity of habitat models for wide-ranging marine predators to the resolution of environmental data. – Ecography doi: 10.1111/ecog.02272 | ecog-02272.zip |
| ECOG-01764 | 2016 | Zuloaga, J. and Kerr, J. T. 2016. Over the top: do thermal barriers along elevation gradients limit biotic similarity? – Ecography doi: 10.1111/ecog.01764 | ecog-01764.pdf |
| ECOG-02216 | 2016 | Wang, J., Meier, S., Soininen, J., Casamayor, E. O., Pan, F., Tang, X., Yang, X., Zhang, Y., Wu, Q., Zhou, J. and Shen, J. 2016. Regional and global elevational patterns of microbial species richness and evenness. – Ecography doi: 10.1111/ecog.02216 | ecog-02216.pdf |
| ECOG-01849 | 2016 | Marchal, J., Cumming, S. G. and McIntire, E. J. B. 2016. Exploiting Poisson additivity to predict fire frequency from maps of fire weather and land cover in boreal forests of Québec, Canada. – Ecography doi: 10.1111/ecog.01849 | ecog-01849.zip |
| ECOG-02070 | 2016 | Miller, E. T., Farine, D. R. and Trisos, C. H. 2016. Phylogenetic community structure metrics and null models: a review with new methods and software. – Ecography doi: 10.1111/ecog.02017 | ecog-02070.pdf |
| ECOG-02010 | 2016 | Chen, S.-C., Cornwell, W. K., Zhang, H.-X. and Moles, A. T. 2016. Plants show more flesh in the tropics: variation in fruit type along latitudinal and climatic gradients. – Ecography doi: 10.1111/ecog.02010 | ecog-02010.pdf |
| ECOG-01633 | 2016 | Authier, M., Saraux, C. and Péron, C. 2016. Variable selection and accurate predictions in habitat modelling: a shrinkage approach. – Ecography doi: 10.1111/ ecog.01633 | ecog-01633.pdf |
| ECOG-02056 | 2016 | Naro-Maciel, E., Hart, K. M., Cruciata, R. and Putman, N. F. 2016. DNA and dispersal models highlight constrained connectivity in a migratory marine megavertebrate. – Ecography doi: 10.1111/ecog.02056 | ecog-02056.zip |
| ECOG-02318 | 2016 | Westgate, M. J., Tulloch, A. I. T., Barton, P. S., Pierson, J. C. and Lindenmayer, D. B. 2016. Optimal taxonomic groups for biodiversity assessment: a meta-analytic approach. – Ecography doi: 10.1111/ecog.02318 | ecog-02318.pdf |
| ECOG-02261 | 2016 | Schmidt, N. M., Mosbacher, J. B., Nielsen, P. S., Rasmussen, C., Høye, T. T. and Roslin, T. 2016. An ecological function in crisis? The temporal overlap between plant flowering and pollinator function shrinks as the Arctic warms. – Ecography doi: 10.1111/ ecog.02261 | ecog-02261.pdf |
| ECOG-02272 | 2016 | Scales, K. L., Hazen, E. L., Jacox, M. G., Edwards, C. A., Boustany, A. M., Oliver, M. J. and Bograd, S. J. 2016. Scales of inference: on the sensitivity of habitat models for wide-ranging marine predators to the resolution of environmental data. – Ecography doi: 10.1111/ecog.02272 | ecog-02272.zip |