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Dennis Rödder
Researcher at University of Trier
Publications - 172
Citations - 5924
Dennis Rödder is an academic researcher from University of Trier. The author has contributed to research in topics: Species distribution & Range (biology). The author has an hindex of 39, co-authored 157 publications receiving 4963 citations. Previous affiliations of Dennis Rödder include State University of Santa Cruz.
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Mapping species distributions with MAXENT using a geographically biased sample of presence data: a performance assessment of methods for correcting sampling bias.
TL;DR: The ability of methods to correct the initial sampling bias varied greatly depending on bias type, bias intensity and species, but the simple systematic sampling of records consistently ranked among the best performing across the range of conditions tested, whereas other methods performed more poorly in most cases.
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Quantitative metrics of overlaps in Grinnellian niches: advances and possible drawbacks
Dennis Rödder,Jan O. Engler +1 more
TL;DR: Both the salamander examples and simulations suggest that Schoener's D and the Bray–Curtis distance BC are best suited to compute niche overlaps from potential distributions derived from species distribution models, but both D and BC are seriously affected by the inclusion of high numbers of grid cells where the species are probably absent.
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Niche shift versus niche conservatism? Climatic characteristics of the native and invasive ranges of the Mediterranean house gecko (Hemidactylus turcicus)
Dennis Rödder,Stefan Lötters +1 more
TL;DR: Differences in climatic niches in the native and invaded ranges of the Mediterranean house gecko (Hemidactylus turcicus) in terms of commonly applied climate variables in ENMs are assessed to indicate that the degree of conservatism of niche largely varies among predictors and variable sets applied.
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Alien invasive slider turtle in unpredicted habitat: a matter of niche shift or of predictors studied?
TL;DR: The results suggest that a natural history-driven understanding is crucial in developing statistical models of ecological niches (as SDMs) while “comprehensive” or “standard” sets of ecological predictors may be of limited use.
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Global Amphibian Extinction Risk Assessment for the Panzootic Chytrid Fungus
Dennis Rödder,Jos Kielgast,Jon Bielby,Sebastian Schmidtlein,Jaime Bosch,Trenton W. J. Garner,Michael Veith,Susan F. Walker,Matthew C. Fisher,Stefan Lötters +9 more
TL;DR: A procedure for identifying amphibian species that are most at risk from the effects of chytridiomycosis by combining spatial analyses of key host life-history variables with the pathogen's predicted distribution is developed.