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-04291 2019

Hellegers, M., Ozing, W. A., van Hinsberg, A., Huijbregts, M. A. J., Hennekens, S. M., Schaminée, J. H. J., Dengler, J. and Schipper, A. M. 2019. Evaluating the ecological realism of plant species distribution models with ecological indicator values. – Ecography doi: 10.1111/ecog.04291

ECOG-04504 2019

Henderson, C. J., Gilby, B. L., Schlacher, T. A., Connolly, R. M., Sheaves, M., Maxwell, P. S., Flint, N., Borland, H. P., Martin, T. S. H., Gorissen, B. and Olds, A. D. 2019. Landscape transformation alters functional diversity in coastal seascapes. – Ecography doi: 10.1111/ecog.04504

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-04568 2019

Bueno, A. S., Masseli, G. S., Kaefer, I. L. and Peres, C. A. 2019. Sampling design may obscure species–area relationships in landscape-scale field studies. – Ecography doi: 10.1111/ecog.04568

ECOG-04532 2019

Millard, J. W., Freeman, F. and Newbold, T. 2019. Text-analysis reveals taxonomic and geographic disparities in animal pollination literature. – Ecography doi: 10.1111/ecog.04532

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-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-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-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-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-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-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-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-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-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-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-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-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-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-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