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 |
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E5975 | 2010 | Willis, C. G., Halina, M., Lehman, C., Reich, P. B., Keen, A., McCarthy, S. and Cavender-Bares, J. 2010. Phylogenetic community structure in Minnesota oak savanna is influenced by spatial extent and environmental variation. – Ecography 33: 565–577. | ![]() |
E5957 | 2009 | Willner, W., Di Pietro, R. and Bergmeier, E. 2009. Phytogeographical evidence for post-glacial dispersal limitation of European beech forest species. – Ecography 32: 1011–1018. | ![]() |
ECOG-04856 | 2019 | Wion, A. P., Weisberg, P. J., Pearse, I. S. and Redmond, M. D. 2019. Aridity drives spatiotemporal patterns of masting across the latitudinal range of a dryland conifer. – Ecography doi: 10.1111/ecog.04856 | ![]() |
ECOG-02379 | 2016 | Wittemyer, G., Keating, L. M., Vollrath, F. and Douglas-Hamilton, I. 2016. Graph theory illustrates spatial and temporal features that structure elephant rest locations and reflect risk perception. – Ecography doi: 10.1111/ecog.02379 | ![]() |
E7723 | 2012 | Wittmann, F., Householder, E., Piedade, M. T. F., de Assis, R. L., Schöngart, J., Parolin, P. and Junk, W. J. 2012. Habitat specifity, endemism and the neotropical distribution of Amazonian white-water floodplain trees. – Ecography 35: xxx–xxx. | ![]() |
ECOG-03235 | 2017 | Wogan, G. O. U. and Wang, I. J. 2017. The value of space-for-time substitution for studying finescale microevolutionary processes. – Ecography doi: 10.1111/ecog.03235 | ![]() |
ECOG-03235 | 2017 | Wogan, G. O. U. and Wang, I. J. 2017. The value of space-for-time substitution for studying finescale microevolutionary processes. – Ecography doi: 10.1111/ecog.03235 | ![]() |
ECOG-03782 | 2018 | Woods, T. and McGarvey, D. J. 2018. Assessing the relative influences of abiotic and biotic factors on American eel Anguilla rostrata distribution using hydrologic, physical habitat, and functional trait data. – Ecography doi: 10.1111/ecog.03782 | ![]() |
E7132 | 2011 | Wu, Y., Yang, Q., Wen, Z., Xia, L., Zhang, Q. and Zhou, H. 2011. What drive the species richness patterns of non-volant small mammals along a subtropical elevational gradient? – Ecography 34: xxx–xxx. | ![]() |
E4525 | 2006 | Xavier, J. C., Tarling, G. A. and Croxall, J. P. 2006. Determining prey distribution patterns from stomach-contents of satellite-tracked high-predators of the southern ocean. – Ecography 29: 260–272. | ![]() |
ECOG-02836 | 2016 | Yackulic, C. B. 2016. Competitive exclusion over broad spatial extents is a slow process: evidence and implications for species distribution modeling. – Ecography doi: 10.1111/ecog.02836 | ![]() |
E4831 | 2006 | Yamaura, Y., Katoh, K. and Takahashi, T. 2006. Reversing habitat loss: deciduous habitat fragmentation matters to birds in a larch plantation | ![]() |
ECOG-01994 | 2015 | Yang, L. H., Ostrovsky, D. M., Rogers, M. C. and Welker, J. M. 2015. Intra-population variation in the natal origins and wing morphology of overwintering western monarch butterflies Danaus plexippus. – Ecography doi: 10.1111/ecog.01994 | ![]() |
ECOG-00965 | 2015 | Yang, Q., Wei, S., Shang, L., Carillo, J., Gabler, C. A., Nijjer, S., Li, B. and Siemann, E. 2015. Mycorrhizal associations of an invasive tree are enhanced by both genetic and environmental mechanisms. – Ecography doi: 10.1111/ecog.00965 | ![]() |
ECOG-02995 | 2017 | Yannic, G., Ortego, J., Pellissier, L., Lecomte, N., Bernatchez, L. and Côté, S. D. 2017. Linking genetic and ecological differentiation in an ungulate with a circumpolar distribution. – Ecography doi: 10.1111/ ecog.02995 | ![]() |
ECOG-00812 | 2014 | Ye, X., Wang, T., Skidmore, A. K., Fortin, D., Bastille- Rousseau, G. and Parrott, L. 2014. A wavelet-based approach to evaluate the roles of structural and functional landscape heterogeneity in animal space use at multiple scales. – Ecography doi: 10.1111/ ecog.00812 | ![]() |
ECO-00986 | 2014 | Yeh, Y.-C., Peres-Neto, P. R., Hunag, S.-W., Lai, Y.-C., Tu, C.-Y., Shiah, F.-K., Gong, G.-C. and Hsieh, C.- H. 2014. Determinism of bacterial metacommunity dynamics in the southern East China Sea varies depending on hydrography. – Ecography doi: 10.1111/ ecog.00986 | ![]() |
ECOG-02306 | 2016 | Yen, J. D. L., Thomson, J. R., Keith, J. M., Paganin, D. M. and Mac Nally, R. 2016. How do different aspects of biodiversity change through time? A case study on an Australian bird community. – Ecography doi: 10.1111/ecog.02306 | ![]() |
ECOG-03582 | 2018 | Yen, J. D. L., Thomson, J. R., Keith, J. M., Paganin, D. M., Fleishman, E., Bennett, A. F., Nimmo, D. G., Bennett, J. M., Dobkin, D. S. and Mac Nally, R. 2018. Linking species richness and size diversity in birds and fishes. – Ecography doi: 10.1111/ecog.03582 | ![]() |
E6651 | 2011 | Yen, J. D. L., Thomson, J. R., Vesk, P. A. and Mac Nally, R. 2011. To what are woodland birds responding? Inference on relative importance of in-site habitat variables using multiple ensemble habitat-modelling techniques. – Ecography 34: xxx–xxx. | ![]() |