M
Mary S. Wisz
Researcher at World Maritime University
Publications - 50
Citations - 13638
Mary S. Wisz is an academic researcher from World Maritime University. The author has contributed to research in topics: Climate change & Species richness. The author has an hindex of 28, co-authored 44 publications receiving 11932 citations. Previous affiliations of Mary S. Wisz include University of Cambridge & Technical University of Denmark.
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Journal ArticleDOI
Novel methods improve prediction of species' distributions from occurrence data
Jane Elith,Catherine H. Graham,Robert P. Anderson,Miroslav Dudík,Simon Ferrier,Antoine Guisan,Robert J. Hijmans,Falk Huettmann,John R. Leathwick,Anthony Lehmann,Jin Li,Lúcia G. Lohmann,Bette A. Loiselle,Glenn Manion,Craig Moritz,Miguel Nakamura,Yoshinori Nakazawa,Jacob C. M. Mc Overton,A. Townsend Peterson,Steven J. Phillips,Karen Richardson,Ricardo Scachetti-Pereira,Robert E. Schapire,Jorge Soberón,Stephen E. Williams,Mary S. Wisz,Niklaus E. Zimmermann +26 more
TL;DR: This work compared 16 modelling methods over 226 species from 6 regions of the world, creating the most comprehensive set of model comparisons to date and found that presence-only data were effective for modelling species' distributions for many species and regions.
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Effects of sample size on the performance of species distribution models
TL;DR: In this article, a broad suite of algorithms with independent presence-absence data from multiple species and regions were evaluated for 46 species (from six different regions of the world) at three sample sizes (100, 30 and 10 records).
Journal ArticleDOI
The role of biotic interactions in shaping distributions and realised assemblages of species: implications for species distribution modelling
Mary S. Wisz,Julien Pottier,W. Daniel Kissling,Loïc Pellissier,Jonathan Lenoir,Jonathan Lenoir,Christian Damgaard,Carsten F. Dormann,Mads C. Forchhammer,John-Arvid Grytnes,Antoine Guisan,Risto K. Heikkinen,Toke T. Høye,Ingolf Kühn,Miska Luoto,Luigi Maiorano,Marie-Charlotte Nilsson,Signe Normand,Erik Öckinger,Niels Martin Schmidt,Mette Termansen,Allan Timmermann,David A. Wardle,Peter Aastrup,Jens-Christian Svenning +24 more
TL;DR: It is shown that biotic interactions have clearly left their mark on species distributions and realised assemblages of species across all spatial extents, and is called for for accelerated collection of spatially and temporally explicit species data.
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Prediction of the distribution of Arctic-nesting pink-footed geese under a warmer climate scenario
TL;DR: In this paper, the authors built species distribution models for Svalbard nesting pink-footed geese to relate their occurrence to environmental and climatic variables, and used the models to predict their distribution under a warmer climate scenario.
Journal ArticleDOI
Do pseudo-absence selection strategies influence species distribution models and their predictions? An information-theoretic approach based on simulated data
Mary S. Wisz,Antoine Guisan +1 more
TL;DR: If ecologists wish to build parsimonious GLM models that will allow them to make robust predictions, a reasonable approach is to use a large number of randomly selected pseudo-absences, and perform model selection based on an information theoretic approach, although the resulting models can be expected to have limited fit.