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-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
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
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-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
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
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
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
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
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
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
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-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
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-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
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-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-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-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-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-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

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