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Advancing an interdisciplinary framework to study seed dispersal ecology
Beckman, N. G., Aslan, C. E., Rogers, H. S., Kogan, O., Bronstein, J. L., Bullock, J. M., … Zambrano, J. (2020). Advancing an interdisciplinary framework to study seed dispersal ecology. AoB PLANTS, 12(2), plz048 (18 pp.). https://doi.org/10.1093/aobpla/plz048
Testing species assemblage predictions from stacked and joint species distribution models
Zurell, D., Zimmermann, N. E., Gross, H., Baltensweiler, A., Sattler, T., & Wüest, R. O. (2020). Testing species assemblage predictions from stacked and joint species distribution models. Journal of Biogeography, 47(1), 101-113. https://doi.org/10.1111/jbi.13608
Employing plant functional groups to advance seed dispersal ecology and conservation
Aslan, C., Beckman, N. G., Rogers, H. S., Bronstein, J., Zurell, D., Hartig, F., … Zhou, Y. (2019). Employing plant functional groups to advance seed dispersal ecology and conservation. AoB PLANTS, 11(2), plz006 (14 pp.). https://doi.org/10.1093/aobpla/plz006
Rapid changes in seed dispersal traits may modify plant responses to global change
Johnson, J. S., Cantrell, R. S., Cosner, C., Hartig, F., Hastings, A., Rogers, H. S., … Pufal, G. (2019). Rapid changes in seed dispersal traits may modify plant responses to global change. AoB PLANTS, 11(3), plz020 (20 pp.). https://doi.org/10.1093/aobpla/plz020
The total dispersal kernel: a review and future directions
Rogers, H. S., Beckman, N. G., Hartig, F., Johnson, J. S., Pufal, G., Shea, K., … Zambrano, J. (2019). The total dispersal kernel: a review and future directions. AoB PLANTS, 11(5), plz042 (13 pp.). https://doi.org/10.1093/aobpla/plz042
Frequency and intensity of facilitation reveal opposing patterns along a stress gradient
Gallien, L., Zurell, D., & Zimmermann, N. E. (2018). Frequency and intensity of facilitation reveal opposing patterns along a stress gradient. Ecology and Evolution, 8(4), 2171-2181. https://doi.org/10.1002/ece3.3855
sOAR: a tool for modelling optimal animal life-history strategies in cyclic environments
Schaefer, M., Menz, S., Jeltsch, F., & Zurell, D. (2018). sOAR: a tool for modelling optimal animal life-history strategies in cyclic environments. Ecography, 41(3), 551-557. https://doi.org/10.1111/ecog.03328
Outstanding challenges in the transferability of ecological models
Yates, K. L., Bouchet, P. J., Caley, M. J., Mengersen, K., Randin, C. F., Parnell, S., … Sequeira, A. M. M. (2018). Outstanding challenges in the transferability of ecological models. Trends in Ecology and Evolution, 33(10), 790-802. https://doi.org/10.1016/j.tree.2018.08.001
Do joint species distribution models reliably detect interspecific interactions from co-occurrence data in homogenous environments?
Zurell, D., Pollock, L. J., & Thuiller, W. (2018). Do joint species distribution models reliably detect interspecific interactions from co-occurrence data in homogenous environments? Ecography, 41(11), 1812-1819. https://doi.org/10.1111/ecog.03315
Do long-distance migratory birds track their niche through seasons?
Zurell, D., Gallien, L., Graham, C. H., & Zimmermann, N. E. (2018). Do long-distance migratory birds track their niche through seasons? Journal of Biogeography, 45(7), 1459-1468. https://doi.org/10.1111/jbi.13351
Long-distance migratory birds threatened by multiple independent risks from global change
Zurell, D., Graham, C. H., Gallien, L., Thuiller, W., & Zimmermann, N. E. (2018). Long-distance migratory birds threatened by multiple independent risks from global change. Nature Climate Change, 8, 992-996. https://doi.org/10.1038/s41558-018-0312-9
Integrating demography, dispersal and interspecific interactions into bird distribution models
Zurell, D. (2017). Integrating demography, dispersal and interspecific interactions into bird distribution models. Journal of Avian Biology, 48(12), 1505-1516. https://doi.org/10.1111/jav.01225