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-01339 | 2015 | van Beest, F. M., McLoughlin, P. D., Mysterud, A. and Brook, R. K. 2015. Functional responses in habitat selection are density dependent in a large herbivore. – Ecography doi: 10.1111/ecog.01339 | ecog-01339.pdf |
ECOG-03329 | 2018 | van Beeck Calkoen, S. T. S., Kuijper, D. P. J., Sand, H., Singh, N. J., van Wieren, S. E. and Cromsigt, J. P. G. M. 2018. Does wolf presence reduce moose browsing intensity in young forest plantations? – Ecography doi: 10.1111/ecog.03329 | ecog-03329.pdf |
ECOG-03503 | 2018 | Valente, L., Phillimore, A. B. and Etienne, R. S. 2018. Using molecular phylogenies in island biogeography: it’s about time. – Ecography doi: 10.1111/ecog.03503 | ecog-03503.pdf |
E7374 | 2012 | Valdujo, P. H., Carnaval, A. C. O. Q. and Graham, C. H. 2012. Environmental correlates of anuran beta diversity in the Brazilian Cerrado. – Ecography 35: xxx–xxx. | e7374.pdf |
ECOG-00216 | 2013 | Valdés, A., García, D., García, M. B. and Ehrlén, J. 2013. Contrasting effects of different landscape characteristics on population growth of a perennial forest herb. – Ecography 36: xxx–xxx. | ecog-00216.pdf |
ECOG-00929 | 2014 | Valcu, M., Dale, J., Griesser, M., Nakagawa, S. and Kempenaers, B. 2014. Global gradients of avian longevity support the classic evolutionary theory of ageing. – Ecography doi: 10.1111/ecog.00929 | ecog-00929.pdf |
ECOG-00188 | 2013 | Ulrich, W. and Fattorini, S. 2013. Longitudinal gradients in the phylogenetic community structure of European Tenebrionidae (Coleoptera) do not coincide with the major routes of postglacial colonization. – Ecography 36: xxx–xxx. | ecog-00188.pdf ecog-00188_appendix1.xls ecog-00188_appendix3.xls |
ECOG-04892 | 2020 | Tyukmaeva, V., Lankinen, P., Kinnunen, J., Kauranen, H. and Hoikkala, A. 2020. Latitudinal clines in the timing and temperature-sensitivity of photoperiodic reproductive diapause in Drosophila montana. – Ecoraphy doi: 10.1111/ecog.04892 | ecog-04892.pdf |
ECOG-04996 | 2020 | Twiname, S., Audzijonyte, A., Blanchard, J. L., Champion, C., de la Chesnais, T., Fitzgibbon, Q. P., Fogarty, H. E., Hobday, A. J., Kelly, R., Murphy, K. J., Oellermann, M., Peinado, P., Tracey, S., Villanueva, C., Wolfe, B. and Pecl, G. T. 2020. A cross-scale framework to support a mechanistic understanding and modelling of marine climate-driven species redistribution, from individuals to communities. – Ecography doi: 10.1111/ecog.04996 | ecog-04996.zip |
ECOG-03093 | 2017 | Turkia, T., Selonen, V., Danilov, P., Kurhinen, J., Ovaskainen, O., Rintala, J. and Brommer, J. E. 2017. Red squirrels decline in abundance in the boreal forests of Finland and NW Russia. – Ecography doi: 10.1111/ ecog.03093 | ecog-03093.pdf |
E7339 | 2012 | Tuomisto, H., Ruokolainen, L. and Ruokolainen, K. 2012. Modelling niche and neutral dynamics: on the ecological interpretation of variation partitioning results. – Ecography 35: xxx–xxx. | e7339.pdf |
ECOG-02143 | 2016 | Tulloch, A. I. T., Chadès, I., Dujardin, Y., Westgate, M. J., Lane, P. W. and Lindenmayer, D. 2016. Dynamic species co-occurrence networks require dynamic biodiversity surrogates. – Ecography doi: 10.1111/ ecog.02143 | ecog-02143.pdf |
ECOG-05126 | 2020 | Tucker, M. A., Santini, L., Carbone, C. and Mueller, T. 2020. Mammal population densities at a global scale are higher in human-modified areas. – Ecography doi: 10.1111/ecog.05126 | ecog-05126.pdf |
E6948 | 2011 | Tucker, C. M., Rebelo, A. G. and Manne, L. L. 2011. Contribution of disturbance to distribution and abundance in a fire-adapted system. – Ecography 34: xxx–xxx. | e6948.pdf |
ECOG-01814 | 2015 | Tsirogiannis, C. and Sandel, B. 2015. PhyloMeasures: a package for computing phylogenetic biodiversity measures and their statistical moments. – Ecography doi: 10.1111/ecog.01814 | ecog-01814.zip |
ECOG-04412 | 2019 | Tsang, T. P. N., Dyer, E. E. and Bonebrake; T. C. 2019. Alien species richness is currently unbounded in all but the most urbanized bird communities. – Ecography doi: 10.1111/ecog.04412 | ecog-04412.pdf |
ECOG-05196 | 2020 | Tsai, P.-Y., Ko, C.-J., Chia, S. Y., Lu, Y.-J. and Tuanmu, M.-N. 2020. New insights into the patterns and drivers of avian altitudinal migration from a growing crowdsourcing data source. – Ecography doi: 10.1111/ecog.05196 | ecog-05196.pdf |
ECOG-01430 | 2015 | Truxa, C. and Fielder, K. 2015. Massive structural redundancies in species composition patterns of floodplain forest moths. – Ecography doi: 10.1111/ ecog.01430 | ecog-01430.pdf |
ECOG-04576 | 2019 | Troia, M. J. and Giam, X. 2019. Extreme heat events and the vulnerability of endemic montane fishes to climate change. – Ecography doi: 10.1111/ecog.04576 | ecog-04576.pdf |
e6203 | 2010 | Triantis, K. A., Borges, P. A. V., Ladle, R. J., Hortal, J., Cardoso, P., Gaspar, C., Dinis, F., Mendonça, E., Silveira, L. M. A., Gabriel, R., Melo, C., Santos, A. M. C., Amorim, I. R., Ribeiri, S., Serrano, A. R. M., Quartau, J. A. and Whittaker, R. J. 2010. Extinction debt on oceanic islands. – Ecography 33: 285–294. | e6203.pdf |