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Nicholas J. Matzke
Researcher at University of Auckland
Publications - 77
Citations - 10329
Nicholas J. Matzke is an academic researcher from University of Auckland. The author has contributed to research in topics: Biological dispersal & Biogeography. The author has an hindex of 29, co-authored 74 publications receiving 8349 citations. Previous affiliations of Nicholas J. Matzke include University of California, Davis & University of Tennessee.
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Journal ArticleDOI
Has the Earth’s sixth mass extinction already arrived?
Anthony D. Barnosky,Nicholas J. Matzke,Susumu Tomiya,Susumu Tomiya,Guinevere O. U. Wogan,Guinevere O. U. Wogan,Brian Swartz,Tiago B. Quental,Tiago B. Quental,Charles R. Marshall,Jenny L. McGuire,Emily L. Lindsey,Kaitlin C. Maguire,Ben Mersey,Elizabeth A Ferrer +14 more
TL;DR: Differences between fossil and modern data and the addition of recently available palaeontological information influence understanding of the current extinction crisis, and results confirm that current extinction rates are higher than would be expected from the fossil record.
Journal ArticleDOI
Approaching a state shift in Earth’s biosphere
Anthony D. Barnosky,Elizabeth A. Hadly,Jordi Bascompte,Eric L. Berlow,James H. Brown,Mikael Fortelius,Wayne M. Getz,John Harte,Alan Hastings,Pablo A. Marquet,Neo D. Martinez,Arne Ø. Mooers,Peter D. Roopnarine,Geerat J. Vermeij,John W. Williams,Rosemary G. Gillespie,Justin Kitzes,Charles R. Marshall,Nicholas J. Matzke,David P. Mindell,Eloy Revilla,Adam B. Smith +21 more
TL;DR: Evidence that the global ecosystem as a whole is approaching a planetary-scale critical transition as a result of human influence is reviewed, highlighting the need to improve biological forecasting by detecting early warning signs of critical transitions.
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Model Selection in Historical Biogeography Reveals that Founder-Event Speciation Is a Crucial Process in Island Clades
TL;DR: The re-implementing of the Dispersal-Extinction-Cladogenesis model of LAGRANGE is modified to create a new model, DEC + J, which adds founder-event speciation, the importance of which is governed by a new free parameter, and the results indicate that the assumptions of historical biogeography models can have large impacts on inference and require testing and comparison with statistical methods.
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Probabilistic historical biogeography: new models for founder-event speciation, imperfect detection, and fossils allow improved accuracy and model-testing
TL;DR: This work uses BioGeoBEARS on a large sample of island and non-island clades to show that founder-event speciation is a crucial process in almost every clade, and that most published datasets reject the non-J models currently in widespread use.
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Bayesian Analysis of Biogeography when the Number of Areas is Large
TL;DR: A Bayesian approach for inferring biogeographic history that extends the application of biogeographical models to the analysis of more realistic problems that involve a large number of areas, and develops this approach in a Bayesian framework, marginalizing over all possible biogeography histories using Markov chain Monte Carlo.