J
José J. Lahoz-Monfort
Researcher at University of Melbourne
Publications - 70
Citations - 5707
José J. Lahoz-Monfort is an academic researcher from University of Melbourne. The author has contributed to research in topics: Population & Adaptive management. The author has an hindex of 30, co-authored 66 publications receiving 3586 citations. Previous affiliations of José J. Lahoz-Monfort include Society for Conservation Biology & Imperial College London.
Papers
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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
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
A standard protocol for reporting species distribution models
Damaris Zurell,Janet Franklin,Christian König,Phil J. Bouchet,Carsten F. Dormann,Jane Elith,Guillermo Fandos,Xiao Feng,Gurutzeta Guillera-Arroita,Antoine Guisan,José J. Lahoz-Monfort,Pedro J. Leitão,Daniel S. Park,A. Townsend Peterson,Giovanni Rapacciuolo,Dirk R. Schmatz,Boris Schröder,Josep M. Serra-Diaz,Wilfried Thuiller,Katherine L. Yates,Niklaus E. Zimmermann,Cory Merow +21 more
TL;DR: This work proposes a standard protocol for reporting SDMs, and introduces a structured format for documenting and communicating the models, ensuring transparency and reproducibility, facilitating peer review and expert evaluation of model quality, as well as meta-analyses.
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blockCV: An r package for generating spatially or environmentally separated folds for k‐fold cross‐validation of species distribution models
TL;DR: The r package blockCV as mentioned in this paper is a toolbox for cross-validation of species distribution modeling, which can be used for any spatial modelling. But it is not suitable for the analysis of structured data, as it may lead to underestimation of prediction error and may result in inappropriate model selection.
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A review of evidence about use and performance of species distribution modelling ensembles like BIOMOD
TL;DR: Despite proliferation of ensemble models, there is no oversight of how and where they are used for modelling distributions, and how well they perform, according to how they perform.