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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ECOG-02942 | 2017 | Guralnick, R., Walls, R. and Jetz, W. 2017. Humboldt Core – toward a standardized capture of biological inventories for biodiversity monitoring, modeling and assessment. – Ecography doi: 10.1111/ecog.02942 | ![]() |
ECOG-02937 | 2017 | Correll, M. D., Wiest, W. A., Hodgman, T. P., Kelley, J. P., McGill, B. J., Elphick, C. S., Shriver, W. G., Conway, M., Field, C. R. and Olsen, B. J. 2017. A Pleistocene disturbance event describes modern diversity patterns in tidal marsh birds. – Ecography doi: 10.1111/ecog.02937 | ![]() |
ECOG-02926 | 2017 | Gianuca, A. T., Engelen, J., Brans, K. I., Hanashiro, F. T. T., Vanhamel, M., van den Berg, E. M., Souffreau, C. and De Meester, L. 2017. Taxonomic, functional and phylogenetic metacommunity ecology of cladoceran zooplankton along urbanization gradients. – Ecography doi: 10.1111/ecog.02926 | ![]() |
ECOG-02925 | 2017 | Ryo, M., Yoshimura, C. and Iwasaki, Y. 2017. Importance of antecedent environmental conditions in modeling species distributions. – Ecography doi: 10.1111/ecog.02925 | ![]() |
ECOG-02909 | 2017 | Galante, P. J., Alade, B., Muscarella, R., Jansa, S. A., Goodman, S. M. and Anderson, R. P. 2017. The challenge of modeling niches and distributions for data-poor species: a comprehensive approach to model complexity. – Ecography doi: 10.1111/ecog.02909 | ![]() |
ECOG-02908 | 2017 | Luo, Y. and Li, S. 2017. Cave Stedocys spitting spiders illuminate the history of the Himalayas and southeast Asia. – Ecography doi: 10.1111/ecog.02908 | ![]() |
ECOG-02902 | 2017 | Mammola, S., Goodacre, S. L. and Isaia, M. 2017. Climate change may drive cave spiders to extinction. – Ecography doi: 10.1111/ecog.02902 | ![]() |
ECOG-02893 | 2016 | Knowles, L. L. and Massatti, R. 2016. Distributional shifts – not geographic isolation – as a probable driver of montane species divergence. - Ecography doi: 10.1111/ecog.02893 | ![]() |
ECOG-02886 | 2017 | Múrria, C., Dolédec, S., Papadopoulou, A., Vogler, A. P. and Bonada, N. 2017. Ecological constraints from incumbent clades drive trait evolution across the Tree-of-Life of freshwater macroinvertebrates. – Ecography doi: 10.1111/ecog.02886 | ![]() |
ECOG-02881 | 2016 | Roberts, D. R., V. Bahn, S. Ciuti, M. S. Boyce, J. Elith, G. Guillera-Arroita, S. Hauenstein, J. J. Lahoz-Monfort, B. Schroder, W. Thuiller, D. I. Warton, B. A. Wintle, F. Hartig, and C. F. Dormann. 2017. Cross-validation strategies for data with temporal, spatial, hierarchical or phylogenetic structure. - Ecography doi: 10.1111/ecog.02881. | ![]() |
ECOG-02881 | 2017 | Roberts, D. R., V. Bahn, S. Ciuti, M. S. Boyce, J. Elith, G. Guillera-Arroita, S. Hauenstein, J. J. Lahoz-Monfort, B. Schroder, W. Thuiller, D. I. Warton, B. A. Wintle, F. Hartig, and C. F. Dormann. 2017. Cross-validation strategies for data with temporal, spatial, hierarchical or phylogenetic structure. - Ecography doi: 10.1111/ecog-02881. | ![]() |
ECOG-02880 | 2017 | Title, P. O. and Bemmels, J. B. 2017. ENVIREM: an expanded set of bioclimatic and topographic variables increases flexibility and improves performance of ecological niche modeling. – Ecography doi: 10.1111/ ecog.02880 | ![]() |
ECOG-02874 | 2017 | Louvrier, J., Duchamp, C., Lauret, V., Marboutin, E., Cubaynes, S., Choquet, R., Miquel, C. and Gimenez, O. 2017. Mapping and explaining wolf recolonization in France using dynamic occupancy models and opportunistic data. – Ecography doi: 10.1111/ecog.02874 | ![]() |
ECOG-02871 | 2017 | Mertes, K. and Jetz, W. 2017. Disentangling scale dependencies in species environmental niches and distributions. – Ecography doi: 10.1111/ecog.02871 | ![]() |
ECOG-02869 | 2017 | Lee-Yaw, J., Fracassetti, M. and Willi, Y. 2017. Environmental marginality and geographic range limits: a case study with Arabidopsis lyrata ssp. lyrata. – Ecography doi: 10.1111/ecog.02869 | ![]() |
ECOG-02855 | 2017 | Gagne, R. B., Sprehn, C. G., Alda, F., McIntyre, P. B., Gilliam, J. F. and Blum, M. J. 2017. Invasion of the Hawaiian Islands by a parasite infecting imperiled stream fishes. – Ecography doi: 10.1111/ecog.02855 | ![]() |
ECOG-02851 | 2017 | Pavelková Řičánková, V., Horsák, M., Hais, M., Robovský, J. and Chytrý, M. 2017. Environmental correlates of the Late Quaternary regional extinctions of large and small Palaearctic mammals. – Ecography doi: 10.1111/ecog.02851 | ![]() |
ECOG-02850 | 2017 | Morán-Ordóñez, A., Briscoe, N. J. and Wintle, B. A. 2017. Modelling species responses to extreme weather provides new insights into constraints on range and likely climate change impacts for Australian mammals. – Ecography doi: 10.1111/ecog.02850 | ![]() |
ECOG-02849 | 2017 | Mosher, B. A., Bailey, L. L., Hubbard, B. A. and Huyvaert, K. P. 2017. Inferential biases linked to unobservable states in complex occupancy models. – Ecography doi: 10.1111/ecog.02849 | ![]() |
ECOG-02847 | 2017 | Magrach, A., Holzschuh, A., Bartomeus, I., Riedinger, V., Roberts, S. P. M., Rundlöf, M., Vujić, A., Wickens, J. B., Wickens, V. J., Bommarco, R., González-Varo, J. P., Potts, S. G., Smith, H. G., Steffan-Dewenter, I. and Vilà, M. 2017. Plant-pollinator networks in semi-natural grasslands are resistant to the loss of pollinators during blooming of mass-flowering crops. – Ecography doi: 10.1111/ecog.02847 | ![]() |