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
E5627 2009

Sanz, R., Pulido, F. and Nogues-Bravo, D. 2009. Predicting mechanism across scales: amplified effects of abiotic constraints on the recruitment of yew Taxus baccata. – Ecography 32: 993–1000.

e5627.pdf
E5596 2009

Sanz-Aguilar, A., Massa, B., Lo Valvo, F., Oro, D., Minguez, E. and Tavecchia, G. 2009. Contrasting age-specific recruitment and survival at different spatial scales: a case study with the European storm petrel. – Ecography 32: 637–646.

e5596.pdf
ECOG-02719 2017

Saunders, S. P., Ries, L., Oberhauser, K. S., Thogmartin, W. E. and Zipkin, E. F. 2017. Local and cross-seasonal associations of climate and land use with abundance of monarch butterflies Danaus plexippus. – Ecography doi: 10.1111/ecog.02719

ecog-02719.pdf
E5760 2010

Saura, S. and Rubio, L. 2010. A common currency for the different ways in which patches and links can contribute to habitat availability and connectivity in the landscape. – Ecography 33: 523–537.

e5760.pdf
ECOG-01131 2014

Savage, J. and Vellend, M. 2014. Elevational shifts, biotic homogenization and time lags in vegetation change during 40 years of climate warming. – Ecography doi: 10.1111/ecog.01131

ecog-01131.pdf
ECOG-02272 2016

Scales, K. L., Hazen, E. L., Jacox, M. G., Edwards, C. A., Boustany, A. M., Oliver, M. J. and Bograd, S. J. 2016. Scale of inference: on the sensitivity of habitat models for wide-ranging marine predators to the resolution of environmental data. – Ecography doi: 10.1111/ecog.02272

ecog-02272.zip
ECOG-02272 2016

Scales, K. L., Hazen, E. L., Jacox, M. G., Edwards, C. A., Boustany, A. M., Oliver, M. J. and Bograd, S. J. 2016. Scales of inference: on the sensitivity of habitat models for wide-ranging marine predators to the resolution of environmental data. – Ecography doi: 10.1111/ecog.02272

ecog-02272.zip
ECOG-03328 2017

Schaefer, M., Menz, S., Jeltsch, F. and Zurell, D. 2017. sOAR: a tool for modelling optimal animal life-history strategies in cyclic environments. – Ecography doi: 10.1111/ecog.03328

ecog-03328.zip
ECOG-02487 2017

Schär, S., Vila, R., Petrović, A., Tomanović, Ž., Pierce, N. E. and Nash, D. R. 2017. Molecular substitution rate increases with latitude in butterflies: evidence for a trans-glacial latitudinal layering of populations? – Ecography doi: 10.1111/ecog.02487

ecog-02487.pdf
E6584 2011

Schaub, M., Kéry, M., Birrer, S., Rudin, M. and Jenni, L. 2011. Habitat-density associations are not geographically transferable in Swiss farmland birds. – Ecography 34: xxx–xxx.

e6584.pdf
ECOG-00368 2013

Schibalski, A., Lehtonen, A. and Schröder, B. 2013. Climate change shifts environmental space and limits transferability of treeline models. – Ecography 000: 000–000.

ecog-00368.pdf
ecog-00368.zip
E5374 2008

Schiffers, K., Schurr, F. M., Tielbörger, K., Urbach, C., Moloney, K. and Jeltsch, F. 2008. Dealing with virutal aggregation – a new index for analysing heterogeneous point patterns. – Ecography 31: 545–555.

e5374.pdf
e5374-nderiv.r
e5374-k2.r
e5374-example.r
ECOG-00768 2014

Schiffers, K., Schurr, F. M., Travis, J. M. J., Duputié, A., Eckhart, V. M., Lavergne, S., McInerny, G., Moore, K. A., Pearman, P. B., Thuiller, W., Wüest, R. O. and Holt, R. D. 2014. Landscape structure and genetic architecture jointly impact rates of niche evolution. – Ecography doi: 10.1111/ecog.00768

ecog-00768.pdf
E6712 2011

Schippers, P., Verboom, J., Vos, C. C. and Jochem, R. 2011. Metapopulation shift and survival of woodland birds under climate change: will species be able to track? – Ecography 34: xxx–xxx.

e6712.pdf
E6928 2011

Schlaepfer, D. R., Lauenroth, W. K. and Bradford, J. B. 2011. Effects of ecohydrological variables on current and future ranges, local suitability patterns, and model accuracy in big sagebrush. – Ecography 000: 000–000.

e6928.pdf
E6652 2010

Schmalholz, M. and Hylander, K. 2010. Microtopography creates small-scale refugia for boreal forest floor bryophytes during clear-cut logging. – Ecography 33: xxx–xxx.

e6652.pdf
ECOG-01621 2015

Schmid, B., Nottebrock, H., Esler, K. J., Pagel, J., Pauw, A., Böhning-Gaese, K., Schurr, F. M. and Schleuning, M. 2015. Responses of nectar-feeding birds to floral resources at multiple spatial scales. – Ecography doi: 10.1111/ecog.01621

ecog-01621.pdf
ECOG-04025 2019

Schmid, B., Zaugg, S., Votier, S. C., Chapman, J. W., Boos, M. and Liechti, F. 2019. Size matters in quantitative radar monitoring of animal migration: estimating monitored volume from wingbeat frequency. – Ecography doi: 10.1111/ecog.04025

ecog-04025.pdf
ECOG-02261 2016

Schmidt, N. M., Mosbacher, J. B., Nielsen, P. S., Rasmussen, C., Høye, T. T. and Roslin, T. 2016. An ecological function in crisis? The temporal overlap between plant flowering and pollinator function shrinks as the Arctic warms. – Ecography doi: 10.1111/ ecog.02261

ecog-02261.pdf
ECOG-04512 2019

Schrader, J., Moeljono,S., Keppel, G. and Kreft, H. 2019. Plants on small islands revisited: the effects of spatial scale and habitat quality on the species–area relationship. – Ecography doi: 10.1111/ecog.04512

ecog-04512.pdf

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