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-03447 2017

Strona, G., Matthews, T. J., Kortsch, S. and Veech, J. A. 2017. NOS: a software suite to compute node overlap and segregation ( ) in ecological networks. – Ecography doi: 10.1111/ecog.03447

ecog-03447.pdf
ECOG-05026 2020

Stropp, J., Umbelino, B., Correia, R. A., Campos-Silva, J. V., Ladle, R. J. and Malhado, A. C. M. 2020. The ghosts of forests past and future: deforestation and botanical sampling in the Brazilian Amazon. – Ecography doi: 10.1111/ecog.05026

ecog-05026.pdf
ECOG-01366 2014

Stroud, J. T. and Feeley, K. J. 2015. Responsible academia: optimizing conference locations to minimize greenhouse gas emissions. – Ecography doi: 10.1111/ ecog.01366

ecog-01366.pdf
ECOG-00632 2014

Strubbe, D., Beauchard, O. and Matthysen, E. 2014. Niche conservatism among non-native vertebrates in Europe and North America. – Ecography doi: 10.1111/ ecog.00632

ecog-00632.pdf
ECOG-04592 2019

Stubbington, R., Sarremejane, R. and Datry, T. 2019. Alpha and beta diversity of connected benthic–subsurface invertebrate communities respond to drying in dynamic river ecosystems. – Ecography doi: 10.1111/ecog.04592

ecog-04592.pdf
ECOG-04839 2020

Su, X., Shrestha, N., Xu, X., Sandanova, D., Wang, Q., Wang, S., Dimitrov, D. and Wang, Z. 2020. Phylogenetic conservatism and biogeographic affinity influence woody plant species richness–climate relationships in eastern Eurasia. – Ecography doi: 10.1111/ecog.04839

ecog-04839.zip
ECOG-00077 2013

Suárez-Seoane, S., Virgós, E., Terroba, O., Pardavila, X. and Barea-Azcón, J. M. 2013. Scaling of species distribution models across spatial resolutions and extents along a biogeographic gradient. The case of the Iberian mole Talpa occidentalis. – Ecography 36: xxx–xxx.

ecog-00077.pdf
ECOG-03226 2017

Sugiura, S. and Hayashi, M. 2017. Functional compensation by insular scavengers: the relative contributions of vertebrates and invertebrates vary among islands. – Ecography doi: 10.1111/ecog.03226

ecog-03226.pdf
E7071 2011

Sullivan, S. M. P. and Vierling, K. T. 2011. Exploring the influences of multiscale environmental factors on the American dipper Cinclus mexicanus. – Ecography 34: xxx–xxx.

e7071.pdf
E7664 2012

Sundberg, S. 201X. Spore rain in relation to regional sources and beyond. – Ecography 35: 000–000.

e7664.pdf
E4397 2006

Sunde, P. and Redpath, S. M. 2006. Combining information from range use and habitat selection: sex-specified spatial responses to habitat fragmentation in tawny owls Strix aluco. – Ecography 29: 152–158.

e4397.pdf
E5480 2008

Suominen, O., Persson, I.-L., Danell, K., Bergström, R. and Pastor, R. 2008. Impact of simulated moose densities on abundance and richness of vegetation, herbivorous and predatory arthropods along a productivity gradient. – Ecography 31: 637–646.

e5480.pdf
ECOG-00102 2013

Sutcliffe, P. R., Mellin, C., Pitcher, C. R., Possingham, H. P. and Caley, M. J. 2013. Regional-scale patterns and predictors of species richness and abundance across twelve major tropical inter-reef taxa. – Ecography 36: xxx–xxx.

ecog-00102.pdf
ECOG-04551 2019

Sutherland, C., Royle, J. A. and Linden, D. W. 2019. oSCR: a spatial capture–recapture R package for inference about spatial ecological processes. – Ecography doi: 10.1111/ecog.04551

ecog-04551.pdf
E6301 2010

Svenning, J.-C., Fitzpatrick, M. C., Normand, S., Graham, C. H., Pearman, P. B., Iverson, L. R. and Skov, F. 2010. Geography, topography, and history affect realized-to-potential tree species richness patterns in Europe. – Ecography 33: 1070-1080.

e6301.pdf
ECOG-00585 2014

Swab, R. M., Regan, H. M., Matthies, D., Becker, U. and Bruun, H. H. 2014. The role of demography, intraspecies variation, and species distribution models in species’ projections under climate change. – Ecography doi: 10.1111/ecog.00585

ecog-00585.pdf
ECOG-00496 2014

Swan, C. M. and Brown, B. L. 2014. Using rarity to infer how dendritic network structure shapes biodiversity in riverine communities . – Ecography doi: 10.1111/ecog.00496

ecog-00496.pdf
ECOG-00938 2014

Sydenham, M. A. K., Moe, S. R., Totland, Ø. and Eldegard, K. 2014. Does multi-level environmental filtering determine the functional and phylogenetic composition of wild bee species assemblages? – Ecography doi: 10.1111/ecog.00938

ecog-00938.pdf
ECOG-04039 2018

Synes, N. W., Brown, C., Palmer, S. C. F., Bocedi, G., Osborne, P. E., Watts, K., Franklin, J. and Travis, J. M. J. 2019. Coupled land use and ecological models reveal emergence and feedbacks in socio-ecological systems. – Ecography doi: 10.1111/ecog.04039

ecog-04039.pdf
ECOG-04115 2018

Szewcyk, T. M. and McCain, C. M. 2019. Disentangling elevational richness: a multi-scale hierarchical Bayesian occupancy model of Colorado ant communities. – Ecography doi: 10.1111/ecog.04115

ecog-04115.pdf

Pages