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-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-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-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-04707 | 2019 | Brodie, S., Thorson, J. T., Carroll, G., Hazen, E. I., Bograd, S., Haltuch, M., Holsman, K., Kotwicki, S., Samhouri, J., Willis-Norton, E. and Selden, R. 2019. Trade-offs in covariate selection for species distribution models: a methodological comparison. – Ecography doi: 10.1111/ecog.04707 | ecog-04707.pdf |
| ECOG-04240 | 2019 | Bastille-Rousseau, G., Wall, J., Douglas-Hamilton, I., Lesowapir, B., Loloju, B., Mwangi, N. and Wittenmyer, G. 2019. Landscape-scale habitat response of African elephants shows strong selection for foraging opportunities in a human dominated ecosystem. – Ecography doi: 10.1111/ecog.04240 | ecog-04240.pdf |
| ECOG-04729 | 2019 | Van doninck, J., Jones, M. M., Zuquim, G., Ruokolainen, K., Moulatlet, G. M., Sirén, A., Cárdenas, G., Lehtonen, S. and Tuomisto, H. 2019. Multispectral canopy reflectance improves spatial distribution models of Amazonian understory species. – Ecography doi: 10.1111/ecog.04729 | ecog-04729.pdf |
| ECOG-04485 | 2019 | Cunningham, C. X., Scoler, V., Johnson, C. N., Barmuta, L. A. and Jones, M. E. 2019. Temporal partitioning of activity: rising and falling top-predator abundance triggers community-wide shifts in diel activity. – Ecography doi: 10.1111/ecog.04485 | ecog-04485.pdf |
| ECOG-04492 | 2019 | Chalmandrier, L., Pansu, J., Zinger, L., Boyer, F., Coissac, E., Génin, A., Gielly, L., Lavergne, S., Legay, N., Schilling, V., Taberlet, P., Münkermüller, T. and Thuiller, W. 2019. Environmental and biotic drivers of soil microbial β-diversity across spatial and phylogenetic scales. – Ecography doi: 10.1111/ecog.04492 | ecog-04492.pdf |
| ECOG-04507 | 2019 | Farneda, F. Z., Grelle, C. E. V., Rocha, R., Ferreira, D. F., López-Baucells, A. and Meyer, C. F. J. 2019. Predicting biodiversity loss in island and countryside ecosystems through the lens of taxonomic and functional biogeography. – Ecography doi: 10.1111/ecog.04507 | ecog-04507.pdf |
| ECOG-04365 | 2019 | Frishkoff, L. O., Mahler, D. L. and Fortin, M.-J. 2019. Integrating over uncertainty in spatial scale of response within multispecies occupancy models yields more accurate assessments of community composition. – Ecography doi: 10.1111/ecog.04365 | ecog-04365.pdf |
| ECOG-04461 | 2019 | Olivier, P., Frelat, R., Bonsdorff, E., Kortsch, S., Kröncke, I., Möllmann, C., Neumann, H., Sell, A. F. and Nordström, M. C. 2019. Exploring the temporal variability of a food web using long-term biomonitoring data. – Ecography doi: 10.1111/ecog.04461 | ecog-04461.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-04559 | 2019 | Fay, R., Michler, S., Laesser, J. and Schaub, M. 2019. Integrated population model reveals that kestrels breeding in nest boxes operate as a source population. – Ecography doi: 10.1111/ecog.04559 | ecog-04559.pdf |
| ECOG-04537 | 2019 | Donati, G. F. A., Parravicini, V., Leprieur, F., Hagen, O., Gaboriau, T., Heine, C., Kulbicki, M., Rolland, J., Salamin, N., Albouy, C. and Pellissier, L. 2019. A process-based model supports an association between dispersal and the prevalence of species traits in tropical reef fish assemblages. – Ecography doi: 10.1111/ecog.04537 | ecog-04537.pdf |
| 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-04560 | 2019 | Connan, M., Dilley, B. J., Whitehead, O., Davies, D., McQuaid, C. D. and Ryan, P. G. 2019. Multidimensional stable isotope analysis illuminates resource partitioning in a sub-Antarctic island bird community. – Ecography doi: 10.1111/ecog.04560 | ecog-04560.pdf |
| ECOG-04592 | 2019 | Stubbington, R., Sarremejane, R. and Datry, T. 2019. Alpha and beta diversity of connected benthic–subsurface invertebrate communities respond to drying in dynamic river ecosystems. – Ecography doi: 10.1111/ecog.04592 | ecog-04592.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-04310 | 2019 | Poisot, T., Bélisle, Z., Hoebeke, L., Stock, M. and Szefer, P. 2019. EcologicalNetworks.jl – analysing ecological networks of species interactions. – Ecography doi: 10.1111/ecog.04310 |  ecog-04310.zip |
| ECOG-04544 | 2019 | de Camargo, U., Roslin, T. and Ovaskainen, O. 2019. Spatio-temporal scaling of biodiversity in acoustic tropical bird communities. – Ecography doi: 10.1111/ecog.04544 | ecog-04544.pdf |