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 |
|---|---|---|---|
| E6094 | 2010 | Driscoll, D. A. and Lindenmayer, D. B. 2010.Assembly rules are rare in SE Australian bird communities, but sometimes apply in fragmented agricultural landscapes. – Ecography 33: 854–865. |  e6094.pdf e6094_s4.csv e6094_s7.csv e6094_s8.csv |
| ECOG-04469 | 2019 | Drury, J. P., Barnes, M., Finneran, A. F., Harris, M. and Grether, G. F. 2019. Continent-scale phenotype mapping using citizen scientists’ photographs. – Ecography doi: 10.1111/ecog.04469 | ecog-04469.pdf |
| ECOG-04192 | 2018 | Duarte, G., Segurado, P., Oliveira, T., Haidvogl, G., Pont, D., Ferreira, M. T. and Branco, P. 2019. The River Network Toolkit – RivTool. – Ecography doi: 10.1111/ecog.04192 | ecog-04192.pdf |
| E7193 | 2012 | Duarte, L. D. S., Prieto, P. V. and Pillar, V. D. 2012. Assessing spatial and environmental drivers of phylogenetic assembly in Brazilian Araucaria forests. – Ecography 35: xxx–xxx. | e7193.pdf |
| ECOG-03413 | 2017 | Dubos, N., Le Viol, I., Robert, A., Teplitsky, C., Ghislain, M., Dehorter, O., Julliard, R. and Henry, P. Y. 2017. Disentangling the effects of spring anomalies in climate and net primary production on body size of temperate songbirds. – Ecography doi: 10.1111/ ecog.03413
|  ecog-03413.zip |
| ECO-00237 | 2013 | Dubuis, A., Rossier, L., Pottier, J., Pellissier, L., Vittoz, P. and Guisan, A. 2013. Predicting current and future spatial community patterns of plant functional traits. – Ecography 36: xxx–xxx. | ecog-00237.pdf |
| ECOG-00365 | 2013 | Ducatez, S., Humeau, A., Congretel, M., Fréville, H. and Baguette, M. 2013. Butterfly species differing in mobility show different structures of dispersal-related syndromes in the same fragmented landscape. – Ecography 36: xxx–xxx. | ecog-00365.pdf |
| E6601 | 2010 | Dullinger, S., Mang, T., Dirnböck, T., Ertl, S., Gattringer, A., Grabherr, G., Leitner, M. and Hülber, K. 2010. Patch configuration affects alpine plant distribution. – Ecography 33: xxx–xxx. | e6601.pdf |
| E4259 | 2006 | Dunn, R. R., Colwell, R. K. and Nilsson, C. 2006. The river domain: why are there more species halfway up the river. – Ecography 29: 251–259. | e4259.pdf |
| E6552 | 2010 | Dunstan, P. K. and Foster, S. D. 2010. RAD biodiversity: prediction of rank abundance distributions from deep water benthic assemblages. – Ecography 33: xxx–xxx. | e6552.pdf |
| ECOG-02152 | 2016 | Dupke, C., Bonenfant, C., Reineking, B., Hable, R., Zeppenfeld, T., Ewald, M. and Heurich, M. 2016. Habitat selection by a large herbivore at multiple spatial and temporal scales is primarily governed by food resources. – Ecography doi: 10.1111/ecog.02152 | ecog-02152.zip |
| ECOG-01194 | 2014 | Dytham, C., Travis, J. M. J., Mustin, K. and Benton, T. G. 2014. Changes in species’ distributions during and after environmental change: which eco-evolutionary processes matter more? – Ecography doi: 10.1111/ ecog.01194 | ecog-01194.pdf |
| ECOG-03148 | 2017 | D’Amen, M., Mod, H. K., Gotelli, N. J. and Guisan, A. 2017. Disentangling biotic interactions, environmental filters, and dispersal limitation as drivers of species co-occurrence. – Ecography doi: 10.1111/ecog.03148 | ecog-03148.zip |
| E5470 | 2008 | Ebeling, S. K., Welk, E., Auge, H. and Bruelheide, H. 2008. Predicting the spread of an invasive plant: combining experiments and ecological niche model. – Ecography 31: 709–719. | e5470.pdf |
| E5901 | 2010 | Edrén, S. M. C., Wisz, M. S., Teilmann, J., Dietz, R. and Söderkvist, J. 2010. Modelling spatial patterns in harbour porpoise satellite telemetry data using maximum entropy. – Ecography 33: 698-708. | e5901.pdf |
| E5908 | 2010 | Edrén, S. M. C., Wisz, M. S., Teilmann, J., Dietz, R. and Söderkvist, J. 2010. Modelling spatial patterns in harbour porpoise satellite telemetry data using maximum entropy. – Ecography 33: 698-708. | e5908.pdf |
| ECOG-01511 | 2015 | Efford, M. G., Dawson, D. K., Jhala, Y. V. and Qureshi, Q. 2015. Density-dependent home-range size revealed by spatially explicit capture–recapture. – Ecography doi: 10.1111/ecog.01511 | ecog-01511.pdf |
| E7005 | 2011 | Ekroos, J. and Kuusaari, M. 2011. Landscape context affects the relationship between local and landscape species richness of butterflies in semi-natural habitats. – Ecography 34: xxx–xxx. | e7005.pdf |
| ECOG-03149 | 2017 | El-Gabbas, A. and Dormann, C. F. 2017. Improved species-occurrence predictions in data-poor regions: using large-scale data and bias correction with down-weighted Poisson regression and Maxent. – Ecography doi: 10.1111/ecog.03149 | ecog-03149.pdf |
| E5505 | 2009 | Elith, J. and Graham, C. 2009. Do they? How do they? WHY do they differ? On finding reasons for differing performances of species distribution models. – Ecography 32: 66–77 | e5505.pdf |