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-00534 | 2014 | Yoganand, K. and Owen-Smith, N. 2014. Restricted habitat use by an African savanna herbivore through the seasonal cycle: key resources concept expanded. – Ecography doi: 10.1111/ecog.00534 |  ecog-00534.pdf |
| ECOG-01782 | 2016 | Yom-Tov, Y., Hersteinsson, P., Yom-Tov, E. and geffen, E. 2016. Harsh climate selects for small body size among Iceland’s Arctic foxes. – Ecography doi: 10.1111/ecog.01782 |  ecog-01782.zip |
| 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-05181 | 2020 | Young, M. A., Treml, E. A., Beher, J., Fredle, M., Gorfine, H., Miller, A. D., Swearer, S. E. and Ierodiaconou, D. 2020. Using species distribution models to assess the long-term impacts of changing oceanographic conditions on abalone density in south east Australia. – Ecography doi: 10.1111/ecog.05181 | ecog-05181.pdf |
| E4313 | 2006 | Zalewski, A. and Jedrzejewski, W. 2006. Spatial organisation and dynamics of the pine marten Martes martes population in Bialowieza Forest (E Polen) compared with other European woodlands. – Ecography 29: 31–43. | e4313.pdf |
| ECOG-01027 | 2014 | Zee, P. C. and Fukami, T. 2014. Complex organismenvironment feedbacks buffer species diversity against habitat fragmentation. – Ecography doi: 10.1111/ ecog.01027 | ecog-01027.pdf |
| ECOG-03571 | 2018 | Zhang, C., Chen, Y., Xu, B., Xue, Y. and Ren, Y. 2018. Comparing the prediction of joint species distribution models with respect to characteristics of sampling data. – Ecography doi: 10.1111/ecog.03571 | ecog-03571.zip |
| ECOG-01123 | 2015 | Zhang, H., Qi, W., John, R., Wang, W., Song, F. and Zhou, S. 2015. Using functional trait diversity to evaluate the contribution of multiple ecological processes to community assembly during succession. – Ecography doi: 10.1111/ecog.01123 | ecog-01123.pdf |
| ECOG-03340 | 2017 | Zhang, M., Chen, F., Shi, X., Yang, Z. and Kong, F. 2017. Association between temporal and spatial beta diversity in phytoplankton. – Ecography doi: 10.1111/ ecog.03340 | ecog-03340.pdf |
| ECOG-04548 | 2019 | Zhao, Q., Boomer, G. S. and Royle, J. A. 2019. Integrated modeling predicts shifts in waterbird population dynamics under climate change. – Ecography doi: 10.1111/ecog.04548 | ecog-04548.pdf |
| ECOG-05044 | 2020 | Zhao, Z., Shao, L., Li, F., Zhang, X. and Li, S. 2020. Tectonic evolution of the Tethyan region created the Eurasian extratropical biodiversity hotspots: tracing Pireneitega spiders’ diversification history. – Ecography doi: 10.1111/ecog.05044 | ecog-05044.pdf |
| ECOG-05102 | 2020 | Zizka, A., Antonelli, A. and Silvestro, D. 2020. sampbias, a method for quantifying geographic sampling biases in species distribution data. – Ecography doi: 10.1111/ecog.05102 | ecog-05102.zip |
| ECOG-02192 | 2016 | Zizka, A., ter Steege, H., do Céo R. Pessoa, M. and Antonelli, A. 2016. Finding needles in the haystack: where to look for rare species in the American tropics. – Ecography doi: 10.1111/ecog.02192 | ecog-02192.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-04960 | 2020 | Zurell, D., Franklin, J., König, C., Bouchet, P. J., Dormann, C. F., Elith, J., Gusman, G. F., Feng, X., Guillera-Arroita, G., Guisan, A., Lahoz-Monfort, J. J., Leitão, P. J., Park, D. S., Peterson, T., Rapacciuolo, G., Schmatz, D. R., Schröder, B., Serra-Diaz, J. M., Thuiller, W., Yates, K. L., Zimmermann, N. E. and Merow, C. 2020. A standard protocol for reporting species distribution models. – Ecography doi: 10.1111/ecog.04960 | ecog-04960.zip |
| E7200 | 2011 | Zurell, D., Grimm, V., Rossmanith, E., Zbinden, N., Zimmermann, N. and Schröder, B. 2011. Uncertainty in predictions of range dynamics: black grouse climbing the Swiss Alps. – Ecography 34: xxx–xxx. | e7200.pdf |
| E5810 | 2009 | Zurell, D., Jeltsch, F., Dormann, C. F. and Schröder, B. 2009. Static species distribution models in dynamically changing systems: how good can predictions really be? – Ecography 32: 733–744. | e5810.pdf |
| ECOG-03315 | 2018 | Zurell, D., Pollock, L. J. and Thuiller, W. 2018. Do joint species distribution models reliably detect interspecific interactions from co-occurrence data in homogenous environments? – Ecography doi: 10.1111/ecog.03315 | ecog-03315.pdf |
| E5178 | 2009 | Zweifel-Schielly, B., Kreuzer, M., Ewald, K. C. and Suter, W. 2009. Habitat selection by an Alpine ungulate: the significance of forage characteristics varies with scale and season. – Ecography 32: 103–113. | e5178.pdf |
| ECOG-03621 | 2018 | Zwolicki, A., Pudełko, R., Moskal, K., Świderska, J., Saath, S. and Weydmann, A. 2018. The importance of spatial scale in habitat selection by European beaver. – Ecography doi: 10.1111/ecog.03621 | ecog-03621.pdf |