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 Descriptionsort descending Documents
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
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
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-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
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-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-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-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-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
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-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
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-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
E4483 2006

Van de Meutter, F., Stoks, R. and De Meester, L. 2006. Lotic dispersal of lentic macroinvertebrates. – Ecography 29: 223–230.

e4483.pdf
ECOG-00143 2013

van de Pol, M., Brouwer, L., Brooker, L. C., Brooker, M. G., Colombelli-Négrel, D., Hall, M. L., Langmore, N. E., Peters, A., Pruett-Jones, S., Russell, E. M., Webster, M. S. and Cockburn, A. 2013. Problems with using large-scale oceanic climate indices to compare climatic sensitivities across populations and species. – Ecography 36: xxx–xxx.

ecog-00143.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-04125 2018

van Gasteren, H., Krijgsveld, K. L., Klauke, N., Leshem, Y., Metz, I. C., Skakuj, M., Sorbi, S., Schekler, I. and Shamoun-Baranes, J.2019. Aeroecology meets aviation safety: early warning systems in Europe and the Middle East prevent collisions between birds and aircraft. – Ecography doi: 10.1111/ecog.04125

ecog-04125.pdf
E7291 2012

Van Moorter, B., Visscher, D., Herfindal, I., Basille, M. and Mysterud, A. 2012. Inferring behavioural mechanisms in habitat selection studies – getting the null-hypothesis right for functional and familiarity responses. – Ecography 35: xxx–xxx.

e7291.pdf
ECOG-01509 2015

van Proosdij, A. S. J., Sosef, M. S. M., Wieringa, J. J. and Raes, N. 2015. Minimum required number of specimen records to develop accurate species distribution models. – Ecography doi: 10.1111/ecog.01509

ecog-01509.zip
E5396 2008

VanDerWal, J., Murphy, H. T. and Lovett-Doust, J. 2008. Three-dimensional mid-domain predictions: geometric constraints in North American amphibian, bird, mammal and tree species richness patterns. – Ecography 31: 435–449.

e5396.pdf
3d_mde_python_script.txt

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