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'treesliceR': a package for slicing phylogenies and inferring phylogenetic patterns over evolutionary time
Araujo, M. L., Gabriel S. S. Ferreira, L., Nakamura, G., Túlio P. Coelho, M., & Rangel, T. F. (2025). 'treesliceR': a package for slicing phylogenies and inferring phylogenetic patterns over evolutionary time. Ecography, 2025(1), e07364 (9 pp.). https://doi.org/10.1111/ecog.07364
Habitat suitability models reveal the spatial signal of environmental DNA in riverine networks
Brantschen, J., Fopp, F., Adde, A., Keck, F., Guisan, A., Pellissier, L., & Altermatt, F. (2024). Habitat suitability models reveal the spatial signal of environmental DNA in riverine networks. Ecography, 2024(8), e07267 (12 pp.). https://doi.org/10.1111/ecog.07267
Soil and climate‐dependent ingrowth inference: broadleaves on their slow way to conquer Swiss forests
Flury, R., Portier, J., Rohner, B., Baltensweiler, A., Di Bella Meusburger, K., Scherrer, D., … Stadelmann, G. (2024). Soil and climate‐dependent ingrowth inference: broadleaves on their slow way to conquer Swiss forests. Ecography, 2024(7), e07174 (14 pp.). https://doi.org/10.1111/ecog.07174
Achieving higher standards in species distribution modeling by leveraging the diversity of available software
Kass, J. M., Smith, A. B., Warren, D. L., Vignali, S., Schmitt, S., Aiello-Lammens, M. E., … Zurell, D. (2024). Achieving higher standards in species distribution modeling by leveraging the diversity of available software. Ecography. https://doi.org/10.1111/ecog.07346
Long-term changes in taxonomic and functional composition of European marine fish communities
Receveur, A., Leprieur, F., Ellingsen, K. E., Keith, D., Kleisner, K. M., McLean, M., … Auber, A. (2024). Long-term changes in taxonomic and functional composition of European marine fish communities. Ecography, 2024(9), e07234 (15 pp.). https://doi.org/10.1111/ecog.07234
N-SDM: a high-performance computing pipeline for Nested Species Distribution Modelling
Adde, A., Rey, P. L., Brun, P., Külling, N., Fopp, F., Altermatt, F., … Guisan, A. (2023). N-SDM: a high-performance computing pipeline for Nested Species Distribution Modelling. Ecography, 2023(6), e06540 (11 pp.). https://doi.org/10.1111/ecog.06540
chelsa-cmip6 1.0: a python package to create high resolution bioclimatic variables based on CHELSA ver. 2.1 and CMIP6 data
Karger, D. N., Chauvier, Y., & Zimmermann, N. E. (2023). chelsa-cmip6 1.0: a python package to create high resolution bioclimatic variables based on CHELSA ver. 2.1 and CMIP6 data. Ecography, 2023(6), e06535 (8 pp.). https://doi.org/10.1111/ecog.06535
Expanding Antarctic biogeography: microbial ecology of Antarctic island soils
Lebre, P. H., Bosch, J., Coclet, C., Hallas, R., Hogg, I. D., Johnson, J., … Cowan, D. A. (2023). Expanding Antarctic biogeography: microbial ecology of Antarctic island soils. Ecography, 2023(9), e06568 (20 pp.). https://doi.org/10.1111/ecog.06568
Phylogenetic composition of native island floras influences naturalized alien species richness
Bach, W., Kreft, H., Craven, D., König, C., Schrader, J., Taylor, A., … Weigelt, P. (2022). Phylogenetic composition of native island floras influences naturalized alien species richness. Ecography, 2022(11), e06227 (12 pp.). https://doi.org/10.1111/ecog.06227
European mushroom assemblages are phylogenetically structured by temperature
Bässler, C., Heilmann‐Clausen, J., Andrew, C., Boddy, L., Büntgen, U., Diez, J., … Krah, F. ‐S. (2022). European mushroom assemblages are phylogenetically structured by temperature. Ecography, 2022(11), e06206 (12 pp.). https://doi.org/10.1111/ecog.06206
Resolution in species distribution models shapes spatial patterns of plant multifaceted diversity
Chauvier, Y., Descombes, P., Guéguen, M., Boulangeat, L., Thuiller, W., & Zimmermann, N. E. (2022). Resolution in species distribution models shapes spatial patterns of plant multifaceted diversity. Ecography, 2022(10), e05973 (13 pp.). https://doi.org/10.1111/ecog.05973
A quantitative review of abundance-based species distribution models
Waldock, C., Stuart-Smith, R. D., Albouy, C., Cheung, W. W. L., Edgar, G. J., Mouillot, D., … Pellissier, L. (2022). A quantitative review of abundance-based species distribution models. Ecography, 2022(1), e05694 (18 pp.). https://doi.org/10.1111/ecog.05694
Noctuid and geometrid moth assemblages show divergent elevational gradients in body size and color lightness
Heidrich, L., Pinkert, S., Brandl, R., Bässler, C., Hacker, H., Roth, N., … Friess, N. (2021). Noctuid and geometrid moth assemblages show divergent elevational gradients in body size and color lightness. Ecography, 44(8), 1169-1179. https://doi.org/10.1111/ecog.05558
Trait-similarity and trait-hierarchy jointly determine fine-scale spatial associations of resident and invasive ant species
Wong, M. K. L., Tsang, T. P. N., Lewis, O. T., & Guénard, B. (2021). Trait-similarity and trait-hierarchy jointly determine fine-scale spatial associations of resident and invasive ant species. Ecography, 44(4), 589-601. https://doi.org/10.1111/ecog.05505
Incorporating intraspecific variation into species distribution models improves distribution predictions, but cannot predict species traits for a wide‐spread plant species
Chardon, N. I., Pironon, S., Peterson, M. L., & Forest Doak, D. (2020). Incorporating intraspecific variation into species distribution models improves distribution predictions, but cannot predict species traits for a wide‐spread plant species. Ecography, 43(1), 60-74. https://doi.org/10.1111/ecog.04630
Spatial modelling of ecological indicator values improves predictions of plant distributions in complex landscapes
Descombes, P., Walthert, L., Baltensweiler, A., Meuli, R. G., Karger, D. N., Ginzler, C., … Zimmermann, N. E. (2020). Spatial modelling of ecological indicator values improves predictions of plant distributions in complex landscapes. Ecography, 43(10), 1448-1463. https://doi.org/10.1111/ecog.05117
Linking variability of tree water use and growth with species resilience to environmental changes
Pappas, C., Peters, R. L., & Fonti, P. (2020). Linking variability of tree water use and growth with species resilience to environmental changes. Ecography, 43(9), 1386-1399. https://doi.org/10.1111/ecog.04968
Insect occurrence in agricultural land-uses depends on realized niche and geographic range properties
Waldock, C. A., De Palma, A., Borges, P. A. V., & Purvis, A. (2020). Insect occurrence in agricultural land-uses depends on realized niche and geographic range properties. Ecography, 43(11), 1717-1728. https://doi.org/10.1111/ecog.05162
A standard protocol for reporting species distribution models
Zurell, D., Franklin, J., König, C., Bouchet, P. J., Dormann, C. F., Elith, J., … Merow, C. (2020). A standard protocol for reporting species distribution models. Ecography, 43, 1261-1277. https://doi.org/10.1111/ecog.04960
Environmental and biotic drivers of soil microbial β-diversity across spatial and phylogenetic scales
Chalmandrier, L., Pansu, J., Zinger, L., Boyer, F., Coissac, E., Génin, A., … Thuiller, W. (2019). Environmental and biotic drivers of soil microbial β-diversity across spatial and phylogenetic scales. Ecography, 42(12), 2144-2156. https://doi.org/10.1111/ecog.04492
 

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