Author

J. F. Barcelona

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Ecology· 2

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 2 Organism:plant (other)· 2 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

P. B. Pelser· 2 shared A. Kuprijanov· 1 shared A. Nowak· 1 shared A. Patzelt· 1 shared A. Stein· 1 shared A. Taylor· 1 shared D. N. Karger· 1 shared D. Nickrent· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersEcology

P. B. Pelser

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2 papers

Recent·Most cited

What explains the high island endemicity of Philippine Rafflesia? A species distribution modeling analysis of three threatened parasitic plant species and their hosts

J. J. A. Obico, R. S. Lapuz, J. F. Barcelona, P. B. Pelser

This study uses species distribution modeling to analyze the factors behind the island endemicity of three Philippine Rafflesia species and their hosts, finding that limited dispersal and specific environmental needs, not host requirements, are likely responsible.

bioRxiv · Jul 10, 2023 · PreprintEcology

Machine learning improves global models of plant diversity

L. Cai, H. Kreft, A. Taylor, P. Denelle, J. Schrader, F. Essl, M. v. Kleunen, J. Pergl, P. Pysek, A. Stein, M. Winter, J. F. Barcelona, N. Fuentes, I. Inderjit, D. N. Karger, , P. Weigelt

The paper uses machine learning and statistical models to predict global plant diversity patterns based on environmental data, achieving high accuracy for species and phylogenetic richness.

bioRxiv · Apr 8, 2022Ecology