B
Bette A. Loiselle
Researcher at University of Florida
Publications - 112
Citations - 14962
Bette A. Loiselle is an academic researcher from University of Florida. The author has contributed to research in topics: Seed dispersal & Population. The author has an hindex of 41, co-authored 109 publications receiving 13261 citations. Previous affiliations of Bette A. Loiselle include University of Illinois at Urbana–Champaign & University of Missouri–St. Louis.
Papers
More filters
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.
Journal ArticleDOI
Spatial genetic structure of a tropical understory shrub, PSYCHOTRIA OFFICINALIS (RuBIACEAE)
Journal ArticleDOI
Avoiding Pitfalls of Using Species-Distribution Models in Conservation Planning
Bette A. Loiselle,Christine A. Howell,Catherine H. Graham,Jaqueline M. Goerck,Thomas M. Brooks,Thomas M. Brooks,Kimberly G. Smith,Paul H. Williams +7 more
TL;DR: In this article, the authors used 11 bird species of conservation concern in Brazil's highly fragmented Atlantic Forest and data on environmental conditions in the region to predict species distributions and applied a reserve selection algorithm to identify priority sites.
Journal ArticleDOI
The influence of spatial errors in species occurrence data used in distribution models
Catherine H. Graham,Jane Elith,Robert J. Hijmans,Antoine Guisan,A. Townsend Peterson,Bette A. Loiselle +5 more
TL;DR: It is shown that certain modelling techniques are particularly robust to a moderate level of locational error and that useful predictions of species distributions can be made even when occurrence data include some error.
Journal ArticleDOI
Temporal Variation in Birds and Fruits Along an Elevational Gradient in Costa Rica
Bette A. Loiselle,John G. Blake +1 more
TL;DR: Results of this study indicate that birds may track changes in resource abundance and suggest that preservation of many species and of the biotic integrity of entire systems may require conservation of large, connected blocks of suitable habitat.