Author

A. Patzelt

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 Assay:metagenomics· 1 Approach:statistical model· 1

Frequent Co-Authors

A. Al Hinai· 1 shared A. Kuprijanov· 1 shared A. Nowak· 1 shared A. Stein· 1 shared A. Stokes-Rees· 1 shared A. Taylor· 1 shared D. A. Lupton· 1 shared D. N. Karger· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperEcology

A. Al Hinai

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Author profile →

2 papers

Recent·Most cited

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

Islands in the desert: Environmental distribution modelling of endemic flora reveals the extent of Pleistocene tropical relict vegetation in southern Arabia

J. S. Borrell, G. Al Issaey, D. A. Lupton, T. Starnes, A. Al Hinai, S. Al Hatmi, R. A. Senior, T. Wilkinson, J. L. H. Milborrow, A. Stokes-Rees, A. Patzelt

The paper models environmental distribution of endemic plants in southern Arabia to identify a Pleistocene climate refugium in the Central Desert of Oman.

bioRxiv · Feb 28, 2019Ecology