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 numbersort ascending Year Description Documents
OIK-03513 2018

Henriques-Silva, R., Kubisch, A. and Peres-Neto, P. R. 2018. Latitudinal-diversity gradients can be shaped by biotic processes: new insights from an eco-evolutionary model. – Ecography doi: 10.1111/ecog.03513

ecog-03513.pdf
OIK-02706 2015

Bauer, S., Lisovski, S. and Hahn, S. 2015. Timing is crucial for consequences of migratory connectivity. – Oikos doi: 10.1111/oik.02706.

oik-02706.pdf
OIK-02256 2015

Fründ, F., McCann, K. S. and Williams, N. M. 2015. Sampling bias is a challenge for quantifying specialization and network structure: lessons from a quantitative niche model. – Oikos doi: 10.1111/oik.02256

oik-02256.zip
OIK-01875 2015

de la Riva, E. G., Pérez-Ramos, I. M., Tosto, A., Navarro-Fernández, C. M., Olmo, M., Marañón, T. and Villar, R. 2015. Disentangling the relative importance of species occurrence, abundance and intraspecific variability in community assembly: a trait-based approach at the whole-plant level in Mediterranean forests. – Oikos doi: 10.1111/oik.01875 

oik-01875.pdf
ECOG-04929 2019

Putman, N. F., Seney, E. E., Verley, P., Shaver, D. J., López-Castro, M. C., Cook, M., Gusmán, V., Brost, B., Ceriani, S. A., Mirón, R. J. G. D., Peña, L. J., Tzeek, M., Valverde, R. A., Cantón, C. C. G., Howel, L., Ley, J. A. R., Tumlin, M. C., Teas, W. G., Caillouet Jr, C. W., Cuevas, E., Gallaway, B. J., Richards, P. M. and Mansfield, K. L. 2019. Predicted distributions and abundances of the sea turtle ‘lost years’ in the western North Atlantic Ocean. – Ecography doi: 10.1111/ecog.04929

ecog-04929.pdf
ECOG-04917 2019

Latham, A. D. M., Latham, M. C., Wilmshurst, J. M., Forsyth, D. M., Gormley, A. M., Pech, R. P., Perry, G. L. W. and Wood, J. R. 2019. A refined model of body mass and population density in flightless birds reconciles extreme bimodal population estimates for extinct moa. – Ecography doi: 10.1111/ecog.04917

ecog-04917.pdf
ECOG-04886 2019

Kass, J. M., Anderson, R. P., Espinosa-Lucas, A., Juárez-Jaimes, V., Martínez-Salas, E., Botello, F., Tavera, G., Flores-Martínez, J. J. and Sánchez-Cordero, V. 2019. Biotic predictors with phenological information improve range estimates for migrating monarch butterflies in Mexico. – Ecography doi: 10.1111/ecog.04886

ecog-04886.pdf
ECOG-04873 2019

Qian, H., Zhang, J., Sandel, B. and Jin, Y. 2019. Phylogenetic structure of angiosperm trees in local forest communities along latitudinal and elevational gradients in eastern North America. – Ecography doi: 10.1111/ecog.04873

ecog-04873.pdf
ECOG-04856 2019

Wion, A. P., Weisberg, P. J., Pearse, I. S. and Redmond, M. D. 2019. Aridity drives spatiotemporal patterns of masting across the latitudinal range of a dryland conifer. – Ecography doi: 10.1111/ecog.04856

ecog-04856.pdf
ECOG-04835 2019

Crabot, J., Heino, J., Launay, B. and Datry, T. 2019. Drying determines the temporal dynamics of stream invertebrate structural and functional beta diversity. – Ecography doi: 10.1111/ecog.04835

ecog-04835.pdf
ECOG-04824 2019

Lines, E. R., Zavala, M. A., Ruiz-Benito, P. and Coomes, D. A. 2019. Capturing juvenile tree dynamics from count data using Approximate Bayesian Computation. – Ecography doi: 10.1111/ecog.04824

ecog-04824.pdf
ECOG-04815 2019

Azevedo, J. A. R., Guedes, T. B., Nogueira, C. C., Passos, P., Sawaya, R. J., Prudente, A. L. C., Barbo, F. E., Strüssmann, C., Franco, F. L., Arzamendia, V., Giraudo, A. R., Argôlo, A. J. S., Jansen, M., Zaher, H., Tonini, J. F. R., Faurby, S. and Antonelli, A. 2019. Museums and cradles of diversity are geographically coincident for narrowly distributed Neotropical snakes. – Ecography doi: 10.1111/ecog.04815

ecog-04815.pdf
ECOG-04806 2019

Williams, J. J., Bates, A. E. and Newbold, T. 2019. Human-dominated land uses favour species affiliated with more extreme climates, especially in the tropics. – Ecography doi: 10.1111/ecog.04806

ecog-04806.pdf
ECOG-04799 2019

Schulz, T., Vanhatalo, J. and Saastamoinen, M. 2019. Long-term demographic surveys reveal a consistent relationship between average occupancy and abundance within local populations of a butterfly metapopulation. – Ecography doi: 10.1111/ecog.04799

ecog-04799.pdf
ECOG-04773 2019

Rovero, F., Ahumada, J., Jansen, P. A., Sheil, D., Alvarez, P., Boekee, K., Espinosa, S., Lima, M. G. G., Martin, E. H., O’Brien, T. G., Salvador, J., Santos, F., Rosa, M., Zvoleff, A., Sutherland, C. and Tenan, S. 2019. A standardized assessment of forest mammal communities reveals consistent functional composition and vulnerability across the tropics. – Ecography doi: 10.1111/ecog.04773

ecog-04773.pdf
ECOG-04772 2019

Benito, B. M., Gil-Romera, G. and Birks, H. J. B. 2019. Ecological memory at millennial time-scales: the importance of data constraints, species longevity, and niche features. – Ecography doi: 10.1111/ecog.04772

ecog-04772.pdf
ECOG-04762 2019

Moll, R. J., Cepek, J. D., Lorch, P. D., Dennis, P. M., Robinson, T. and Montgomery, R. A. 2019. At what spatial scale(s) do mammals respond to urbanization? – Ecography doi: 10.1111/ecog.04762

ecog-04762.zip
ECOG-04757 2019

Lindholm, M., Alahuhta, J., Heiono, J. and Toivonen, H. 2019. No biotic homogenisation across decades but consistent effects of landscape position and pH on macrophyte communities in boreal lakes. – Ecography doi: 10.1111/ecog.04757

ecog-04757.pdf
ECOG-04743 2019

Smith, M. M. and Goldberg, C. S. 2019. Occupancy in dynamic systems: accounting for multiple scales and false positives using environmental DNA to inform monitoring. – Ecography doi: 10.1111/ecog.04743

ecog-04743.pdf
ECOG-04740 2019

Figueiredo, L., Krauss, J., Steffan-Dewenter, I. and Sarmento-Cabral, J. 2019. Understanding extinction debts: spatio–temporal scales, mechanisms and a roadmap for future research. – Ecography doi: 10.1111/ecog.04740

ecog-04740.pdf

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