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 numbersort ascending Year Description Documents
OIK-03513 2018

Henriques-Silva, R., Kubisch, A. and Peres-Neto, P. R. 2018. Latitudinal-diversity gradients can be shaped by biotic processes: new insights from an eco-evolutionary model. – Ecography doi: 10.1111/ecog.03513

ecog-03513.pdf
OIK-02706 2015

Bauer, S., Lisovski, S. and Hahn, S. 2015. Timing is crucial for consequences of migratory connectivity. – Oikos doi: 10.1111/oik.02706.

oik-02706.pdf
OIK-02256 2015

Fründ, F., McCann, K. S. and Williams, N. M. 2015. Sampling bias is a challenge for quantifying specialization and network structure: lessons from a quantitative niche model. – Oikos doi: 10.1111/oik.02256

oik-02256.zip
OIK-01875 2015

de la Riva, E. G., Pérez-Ramos, I. M., Tosto, A., Navarro-Fernández, C. M., Olmo, M., Marañón, T. and Villar, R. 2015. Disentangling the relative importance of species occurrence, abundance and intraspecific variability in community assembly: a trait-based approach at the whole-plant level in Mediterranean forests. – Oikos doi: 10.1111/oik.01875 

oik-01875.pdf
ECOG-04740 2019

Figueiredo, L., Krauss, J., Steffan-Dewenter, I. and Sarmento-Cabral, J. 2019. Understanding extinction debts: spatio–temporal scales, mechanisms and a roadmap for future research. – Ecography doi: 10.1111/ecog.04740

ecog-04740.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-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-04690 2019

Bower, L. M. and Winemiller, K. O. 2019. Fish assemblage convergence along stream environmental gradients: an intercontinental analysis. – Ecography doi: 10.1111/ecog.04690

ecog-04690.zip
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-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-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-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-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-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-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-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-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-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-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-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

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