Prof. Dr.  

Carsten F. Dormann

Department of Biometry and Environmental System Analysis, Faculty of Environment and Natural Resources, University of Freiburg
Tennenbacher Str. 4, 79106 Freiburg

Projects

Selected Publications

Benadi G, Dormann CF, Fründ J, Stephan R, and Vázquez DP. Quantitative prediction of interactions in bipartite networks based on traits, abundances, and phylogeny. American Naturalist 2022;199:841–854.

Skarbek CJ, Kobel-Lamparski A, and Dormann CF. Trends in monthly abundance and species richness of carabids over 33 years at the Kaiserstuhl, southwest Germany. Basic and Applied Ecology 2021;50:107–118.

Speich M, Dormann CF, and Hartig F. Sequential Monte-Carlo algorithms for Bayesian model calibration – A review and method comparison. Ecological Modelling 2021;455:109608.

Dormann CF. Calibration of probability predictions from machine-learning and statistical models. Global Ecology and Biogeography 2020;29:760–765.

Ploton P, Mortier F, Réjou-Méchain M, Barbier N, Picard N, Rossi V, Dormann C, Cornu G, Viennois G, Bayol N, Lyapustin A, Gourlet-Fleury S, and Pélissier R. Spatial validation reveals poor predictive performance of large-scale ecological mapping models. Nature Communications 2020;11:4540.

Pinheiro RBP, Felix GMF, Dormann CF, and Mello MAR. A new model explaining the origin of different topologies in interaction networks. Ecology 2019;100:e02796.

Bagnara M, Silveyra Gonzalez R, Reifenberg S, Steinkamp J, Hickler T, Werner C, Dormann CF, and Hartig F. Rlpj: An R package facilitating sensitivity analysis, calibration and forward simulations with the LPJ-GUESS dynamic vegetation model. Environmental Modelling & Software 2018;111:55–60.

Dormann CF, Calabrese JM, Guillera-Arroita G, Matechou E, Bahn V, Bartón K, Beale CM, Ciuti S, Elith J, Gerstner K, and al. et. Model averaging in ecology: A review of Bayesian, information-theoretic and tactical approaches for predictive inference. Ecological Monographs 2018;88:485–504.

Hauenstein S, Dormann CF, and Wood SN. Computing AIC for black-box models using Generalised Degrees of Freedom: A comparison with cross-validation. Communications in Statistics-Simulation and Computation 2018;47:1382–1396.

Roberts DR, Bahn V, Ciuti S, Boyce MS, Elith J, Guillera-Arroita G, Hauenstein S, Lahoz-Monfort JJ, Schröder B, Thuiller W, Warton DI, Wintle BA, Hartig F, and Dormann CF. Cross-validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure. Ecography 2017;40:913–929.

Administrative Manager

Marc Schumacher

Institute of Medical Biometry and Statistics,
Faculty of Medicine and Medical Center –
University of Freiburg