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Brian Maitner studies the origin, maintenance, and conservation of biodiversity, combining Big Data, macroecology, biogeography, plant and animal functional traits, and field research.
Published in Authorea, 2021
We show how bootstrapping can be used to estimate trait distributions, and that it outperforms community weighted approaches
Recommended citation: Brian Maitner, Aud Halbritter, Richard Telford, Tanya Strydom, Julia Chacon-Labella, Christine Lamanna, Lindsey Sloat, Andrew Kerkhoff, Julie Messier, Nick Rasmussen, Francesco Pomati, Ewa Merz, Vigdis Vandvik, Brian Enquist (2021). "On estimating the shape and dynamics of phenotypic distributions in ecology and evolution" Authorea https://doi.org/10.22541/au.162196147.76797968/v1
Published in Ecography, 2022
In this paper we test our recently proposed framework for predicting introduction success using both source and recipient region phylogenetic patterns.
Recommended citation: Maitner, B. S., Park, D. S., Enquist, B. J., & Dlugosch, K. M. (2022). " Both source‐and recipient‐range phylogenetic community structure can predict the outcome of avian introductions. " Ecography. 2022(2). https://onlinelibrary.wiley.com/doi/full/10.1111/ecog.05934
Published in bioRxiv, 2022
In this preprint, we examine global biases in trait data and the factors that drive them (spoiler alert: socioeconomics and biogeography)
Recommended citation: Brian Maitner, Rachael Gallagher, Jens-Christian Svenning, Melanie Tietje, Elizabeth H. Wenk, Wolf L. Eiserhardt. (2022). " Socioeconomics and biogeography jointly drive geographic biases in our knowledge of plant traits: a global assessment of the Raunkiærian shortfall in plants " bioRxiv. https://doi.org/10.1101/2022.09.26.509556