Active Filters

  • (-) Keywords = model performance
Search Results 1 - 5 of 5
  • RSS Feed
Select Page
Model complexity affects species distribution projections under climate change
Brun, P., Thuiller, W., Chauvier, Y., Pellissier, L., Wüest, R. O., Wang, Z., & Zimmermann, N. E. (2020). Model complexity affects species distribution projections under climate change. Journal of Biogeography, 47(1), 130-142. https://doi.org/10.1111/jbi.13734
A comprehensive evaluation of predictive performance of 33 species distribution models at species and community levels
Norberg, A., Abrego, N., Blanchet, F. G., Adler, F. R., Anderson, B. J., Anttila, J., … Ovaskainen, O. (2019). A comprehensive evaluation of predictive performance of 33 species distribution models at species and community levels. Ecological Monographs, 89(3), e01370 (24 pp.). https://doi.org/10.1002/ecm.1370
Optimizing ensembles of small models for predicting the distribution of species with few occurrences
Breiner, F. T., Nobis, M. P., Bergamini, A., & Guisan, A. (2018). Optimizing ensembles of small models for predicting the distribution of species with few occurrences. Methods in Ecology and Evolution, 9(4), 802-808. https://doi.org/10.1111/2041-210X.12957
What matters for predicting the occurrences of trees: techniques, data, or species' characteristics?
Guisan, A., Zimmermann, N. E., Elith, J., Graham, C. H., Phillips, S., & Peterson, A. T. (2007). What matters for predicting the occurrences of trees: techniques, data, or species' characteristics? Ecological Monographs, 77(4), 615-630. https://doi.org/10.1890/06-1060.1
The ghost of past species occurrence: improving species distribution models for presence-only data
Lütolf, M., Kienast, F., & Guisan, A. (2006). The ghost of past species occurrence: improving species distribution models for presence-only data. Journal of Applied Ecology, 43(4), 802-815. https://doi.org/10.1111/j.1365-2664.2006.01191.x