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-02010 | 2016 | Chen, S.-C., Cornwell, W. K., Zhang, H.-X. and Moles, A. T. 2016. Plants show more flesh in the tropics: variation in fruit type along latitudinal and climatic gradients. – Ecography doi: 10.1111/ecog.02010 |  ecog-02010.pdf |
| ECOG-03389 | 2017 | Chen, L., Comita, L. S., Wright, S. J., Swenson, N. G., Zimmerman, J. K., Mi, X., Hao, Z., Ye, W., Hubbell,S. P., Kress, W. J., Uriarte, M., Thompson, J., Nytch, C. J., Wang, X., Lian, J. and Ma, K. 2017. Forest tree neighborhoods are structured more by negative conspecific density dependence than by interactions among closely related species. – Ecography doi: 10.1111/ecog.03389 | ecog-03389.pdf |
| ECOG-01226 | 2014 | Chen, D., Cheng, J., Chy, P., Hu, S., Xie, Y., Tuvshintogtokh, I. and Bai, Y. 2014. Regionalscale patterns of soil microbes and nematodes across grasslands on the Mongolian plateau: Relationships with climate, soil, and plants. – Ecography doi: 10.1111/ecog.01226 | ecog-01226.pdf |
| ECOG-05092 | 2020 | Chen, C., Yang, X., Tan, X. and Wang, Y. 2020. The role of habitat diversity in generating the small-island effect. – Ecography doi: 10.1111/ecog.05092 | ecog-05092.pdf |
| ECOG-04374 | 2019 | Chen, C., Qu, Y., Zhou, X. and Wang, Y. 2019. Human overexploitation and extinction risk correlates of Chinese snakes. – Ecography doi: 10.1111/ecog.04374 | ecog-04374.pdf |
| ECOG-04630 | 2019 | Chardon, N. I., Pironon, S., Peterson, M. L. and Doak, D. F. 2019. Incorporating intraspecific variation into species distribution models improves distribution predictions, but cannot predict species traits for a wide-spread plant species. – Ecography doi: 10.1111/ecog.04630 | ecog-04630.pdf |
| ECOG-00780 | 2014 | Chardon, N. I., Cornwell, W. K., Flint, L. E. and Ackerly, D. D. 2014. Topographic, latitudinal and climatic distribution of Pinus coulteri: geographic range limits are not at the edge of the climate envelope. – Ecography doi: 10.1111/ecog.00780 | ecog-00780.pdf |
| E5785 | 2009 | Chamaillé-Jammes, S., Fritz, H. and Madzikanda, H. 2009. Piosphere contribution to landscape heterogeneity: a case study of remote-sensed woody cover in a high elephant density landscape. – Ecography 32: 871–880. | e5785.pdf |
| ECOG-04492 | 2019 | Chalmandrier, L., Pansu, J., Zinger, L., Boyer, F., Coissac, E., Génin, A., Gielly, L., Lavergne, S., Legay, N., Schilling, V., Taberlet, P., Münkermüller, T. and Thuiller, W. 2019. Environmental and biotic drivers of soil microbial β-diversity across spatial and phylogenetic scales. – Ecography doi: 10.1111/ecog.04492 | ecog-04492.pdf |
| ECOG-03888 | 2018 | Chakraborty, D., Schueler, S., Lexer, M. and Wang, T. 2018. Genetic trials improve the transfer of Douglasfir distribution models across continents. – Ecography doi: 10.1111/ecog.03888 | ecog-03888.pdf |
| ECOG-02637 | 2017 | Chain-Guadarrama, A., Imbach, P., Vilchez-Mendoza, S., Vierling, L. A. and Finegan, B. 2017. Potential trajectories of old-growth Neotropical forest functional composition under climate change. – Ecography doi: 10.1111/ecog.02637 | ecog-02637.pdf |
| ECO-00888 | 2014 | Chadès, I., Chapron, G., Cros, M.-J., Garcia, F. and Sabbadin, R. 2014. MDPtoolbox: a multi-platform toolbox to solve stochastic dynamic programming problems. – Ecography doi: 10.1111/ecog.00888 | ecog-00888.pdf reservedesigncode_r_matlab_scilab_octave.zip |
| E5197 | 2007 | Certain, G., Bellier, E., Planque, B. and Bretagnolle, V. 2007. Characterising the temporal variability of the spatial distribution of animals: an application to seabirds at sea. – Ecography 30: 695–708. | e5197.pdf |
| E5899 | 2010 | Cayuela, L., de la Cruz, M. and Ruokolainen, K. 2010. A method to incorporate the effect of taxonomic uncertainty on multivariate analyses of ecological data. – Ecography 33: xxx–xxx. | e5899.pdf e5899appendix2.xls betaper.zip |
| e7190 | 2011 | Catterall, S., Cook, A. R., Marion, G., Butler, A. and Hulme, P. E. 2011. Accounting for uncertainty in colonisation times: a novel approach to modelling the spatio-temporal dynamics of alien invasions using distribution data. – Ecography 34: xxx–xxx. | e7190.pdf |
| E6306 | 2010 | Casner, K. L. and Pyrcz, T. W. 2010. Patterns and timing of diversification in a tropical montane butterfly genus, Lymanopoda (Nymphalidae, Satyrinae). – Ecography 33: 251–259. | e6306.pdf |
| ECOG-00280 | 2014 | Case, B. S. and Duncan, R. P. 2014. A novel framework for disentangling the scale-dependent influences of abiotic factors on alpine treeline position. – Ecography doi: 10.1111/ecog.00280 | ecog-00280.pdf |
| E7549 | 2012 | Casanovas, P., Lynch, H. J. and Fagan, W. F. 2012. Multi-scale patterns of moss and lichen richness on the Antarctic Peninsula. – Ecography 35: xxx–xxx. | e7549.pdf |
| ECOG-04656 | 2019 | Carvalheiro, L. G., Biesmeijer, J. C., Franzén, M., Aguirre-Gutierrez, J., Garibaldi, L. A., Helm, A., Michez, D., Pöyry, J., Reemer, M., Schweiger, van den Berg, L., WallisDeVries, M. F. and Kunin, W. E. 2019. Soil eutrophication shaped the composition of pollinator assemblages during the past century. – Ecography doi: 10.1111/ecog.04656 | ecog-04656.zip |
| ECOG-00223 | 2013 | Carstensen, D. W., Dalsgaard, B., Svenning, J.-C., Rahbek, C., Fjeldså, J., Sutherland, W. J. and Olesen, J. M. 2013. The functional biogeography of species: biogeographical species roles of birds in Wallacea and the West Indies. – Ecography 36: xxx–xxx. | ecog-00223.pdf ecog-00223_wallacea_landbird_matrix_appendix.xls ecog-00223_wallacea_trait_data.xlsx ecog-00223_west_indies_landbird_matrix.xls ecog-00223_west_indies_trait_data.xlsx |