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-04606 | 2019 | Freeman, B. G., Tobias, J. A. and Schluter, D. 2019. Behavior influences range limits and patterns of coexistence across an elevational gradient in tropical birds. – Ecography doi: 10.1111/ecog.04606 |  ecog-04606.zip |
| ECOG-04609 | 2020 | Monnet, A.-C., Vortonsova, M. S., Govaerts, R. H. A., Svenning, J.-C. and Sandel, B. 2020. Historical legacies and ecological determinants of grass naturalizations worldwide. – Ecography doi: 10.1111/ecog.04609 |  ecog-04609.pdf |
| ECOG-04611 | 2019 | Srinivasan, U., Elsen, P. R. and Wilcove, D. S. 2019. Annual temperature variation influences the vulnerability of montane bird communities to land-use change. – Ecography doi: 10.1111/ecog.04611 | ecog-04611.pdf |
| ECOG-04613 | 2019 | Li, X., Bellard, C., Hu, F. and Li, H. 2019. A comprehensive formula for decomposing change in community similarity into introduction and extinction events. – Ecography doi: 10.1111/ecog.04613 | ecog-04613.pdf |
| ECOG-04617 | 2019 | Hesselbarth, M. H. K., Sciaini, M., With, K. A., Wiegand, K. and Nowosad, J. 2019. landscapemetrics: an open-source R tool to calculate landscape metrics. – Ecography doi: 10.1111/ecog.04617 | ecog-04617.pdf |
| ECOG-04627 | 2019 | Feng, X., Liang, Y., Gallardo, B. and Papeş, M. 2019. Physiology in ecological niche modeling: using zebra mussel’s upper thermal tolerance to refine model predictions through Bayesian analysis. – Ecography doi: 10.1111/ecog.04627 | ecog-04627.pdf |
| ECOG-04630 | 2019 | Chardon, N. I., Pironon, S., Peterson, M. L. and Doak, D. F. 2019. Incorporating intraspecific variation into species distribution models improves distribution predictions, but cannot predict species traits for a wide-spread plant species. – Ecography doi: 10.1111/ecog.04630 | ecog-04630.pdf |
| ECOG-04631 | 2019 | Evans, L. E., Hirst, A. G., Kratina, P. and Beaugrand, G. 2019. Temperature-mediated changes in zooplankton body size: large scale temporal and spatial analysis. – Ecography doi: 10.1111/ecog.04631 | ecog-04631.pdf |
| ECOG-04631 | 2020 | Evans, L. E., Hirst, A. G., Kratina, P. and Beaugrand, G. 2019. Temperature-mediated changes in zooplankton body size: large scale temporal and spatial analysis. – Ecography doi: 10.1111/ecog.04631 | ecog-04631.pdf |
| ECOG-04632 | 2019 | La Sorte, F. A. and Somveille, M. 2019. Survey completeness of a global citizen-science database of bird occurrence. – Ecography doi: 10.1111/ecog.04632 | ecog-04632.pdf |
| ECOG-04635 | 2019 | Cunningham, C. X., Johnson, C. N., Hollings, T., Kreger, K. and Joners, M. E. 2019. Trophic rewilding establishes a landscape of fear: Tasmanian devil introduction increases risk-sensitive foraging in a key prey species. – Ecography doi: 10.1111/ecog.04635 | ecog-04635.pdf |
| ECOG-04643 | 2019 | Pecuchet, L., Lindegren, M., Kortsch, S., Całkiewicz, J., Jurgensone, I., Margonski, P., Otto, S. A., Putnis, I., Strāķe, S. and Nordström, M. C. 2019. Spatio-temporal dynamics of multi-trophic communities reveal ecosystem-wide functional reorganization. – Ecography doi: 10.1111/ecog.04643 | ecog-04643.pdf |
| ECOG-04644 | 2019 | Pincheira-Donoso, D., Meiri, S., Jara, M., Olalla-Tárraga, M. Á. and Hodgson, D. J. 2019. Global patterns of body size evolution are driven by precipitation in legless amphibians. – Ecography doi: 10.1111/ecog.04644 | ecog-04644.pdf |
| ECOG-04653 | 2019 | Critchley, E. J., Grecian, W. J., Benninson, A., Kane, A., Wischnewski, S., Cañadas, A., Tierney, D., Quinn, J. L. and Jessopp, M. J. 2019. Assessing the effectiveness of foraging radius models for seabird distributions using biotelemetry and survey data. – Ecography doi: 10.1111/ecog.04653 | ecog-04653.pdf |
| ECOG-04656 | 2019 | Carvalheiro, L. G., Biesmeijer, J. C., Franzén, M., Aguirre-Gutierrez, J., Garibaldi, L. A., Helm, A., Michez, D., Pöyry, J., Reemer, M., Schweiger, van den Berg, L., WallisDeVries, M. F. and Kunin, W. E. 2019. Soil eutrophication shaped the composition of pollinator assemblages during the past century. – Ecography doi: 10.1111/ecog.04656 | ecog-04656.zip |
| ECOG-04665 | 2019 | Liu, C., Comte, L., Xian, W., Chen, Y. and Olden, J. D. 2019. Current and projected future risks of freshwater fish invasions in China. – Ecography doi: 10.1111/ecog.04665 | ecog-04665.pdf |
| ECOG-04670 | 2019 | Bogoni, J. A., da Silva, P. G. and Peres, C. A. 2019. Co-declining mammal-dung beetle faunas throughout the Atlantic Forest biome of South America. – Ecography doi: 10.1111/ecog.04670 | ecog-04670.zip |
| ECOG-04678 | 2019 | Parolari, A. J., Paul, K., Griffing, A., Condit, R., Perez, R., Aguilar, S. and Schnitzer, S. A. 2019. Liana abundance and diversity increase with rainfall seasonality along a precipitation gradient in Panama. – Ecography doi: 10.1111/ecog.04678 | ecog-04678.pdf |
| ECOG-04680 | 2019 | Kearney, M. R. and Porter, W. P. 2019. NicheMapR – an R package for biophysical modelling: the ectotherm and Dynamic Energy Budget models. – Ecography doi: 10.1111/ecog.04680 | ecog-04680.pdf |
| ECOG-04687 | 2019 | Gábor, L., Moudrý, V., Lecours, V., Malavasi, M., Barták, Fogl, M., Šímová, P., Rocchini, D. and Václavík, T. 2019. The effect of positional error on fine scale species distribution models increases for specialist species. – Ecography doi: 10.1111/ecog.04687 | ecog-04687.pdf |