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Brendan A. Wintle
Researcher at University of Melbourne
Publications - 190
Citations - 14739
Brendan A. Wintle is an academic researcher from University of Melbourne. The author has contributed to research in topics: Population & Threatened species. The author has an hindex of 53, co-authored 178 publications receiving 12020 citations. Previous affiliations of Brendan A. Wintle include Australian National University & University of Queensland.
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Journal ArticleDOI
Predicting species distributions for conservation decisions
Antoine Guisan,Reid Tingley,John B. Baumgartner,Ilona Naujokaitis-Lewis,Patricia Sutcliffe,Ayesha I. T. Tulloch,Tracey J. Regan,Lluís Brotons,Eve McDonald-Madden,Eve McDonald-Madden,Chrystal Mantyka-Pringle,Chrystal Mantyka-Pringle,Tara G. Martin,Tara G. Martin,Jonathan R. Rhodes,Ramona Maggini,Samantha A. Setterfield,Jane Elith,Mark W. Schwartz,Brendan A. Wintle,Olivier Broennimann,Mike P. Austin,Simon Ferrier,Michael R. Kearney,Hugh P. Possingham,Hugh P. Possingham,Yvonne M. Buckley,Yvonne M. Buckley +27 more
TL;DR: It is proposed that species distribution modellers should get involved in real decision-making processes that will benefit from their technical input and have the potential to better bridge theory and practice, and contribute to improve both scientific knowledge and conservation outcomes.
Journal ArticleDOI
Cross-validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure
David R. Roberts,Volker Bahn,Simone Ciuti,Mark S. Boyce,Jane Elith,Gurutzeta Guillera-Arroita,Severin Hauenstein,José J. Lahoz-Monfort,Boris Schröder,Wilfried Thuiller,David I. Warton,Brendan A. Wintle,Florian Hartig,Florian Hartig,Carsten F. Dormann +14 more
TL;DR: It is recommended that block cross-validation be used wherever dependence structures exist in a dataset, even if no correlation structure is visible in the fitted model residuals, or if the fitted models account for such correlations.
Journal ArticleDOI
Zero tolerance ecology: improving ecological inference by modelling the source of zero observations
Tara G. Martin,Brendan A. Wintle,Jonathan R. Rhodes,Petra M. Kuhnert,Scott A. Field,Samantha Low-Choy,Andrew J. Tyre,Hugh P. Possingham +7 more
TL;DR: A framework for understanding how zero-inflated data sets originate and deciding how best to model them is proposed and the different kinds of zeros that occur in ecological data are defined and classified.
Journal ArticleDOI
Is my species distribution model fit for purpose? Matching data and models to applications
Gurutzeta Guillera-Arroita,José J. Lahoz-Monfort,Jane Elith,Ascelin Gordon,Heini Kujala,Pia E. Lentini,Michael A. McCarthy,Reid Tingley,Brendan A. Wintle +8 more
TL;DR: In this paper, the authors synthesize current knowledge and provide a simple framework that summarizes how interactions between data type and the sampling process determine the quantity that is estimated by a species distribution model.
Journal ArticleDOI
Prioritizing multiple-use landscapes for conservation: methods for large multi-species planning problems.
TL;DR: This study develops efficient quantitative methods for identifying conservation core areas at large, even national or continental scales, applicable to both fragmented and natural landscape structures, and produce a hierarchical zonation of regional conservation priority.