Author

J. Vanhatalo

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· 3

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 2 Approach:statistical model· 2 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Assay:metagenomics· 1 Organism:plant (other)· 1

Frequent Co-Authors

A.-L. Laine· 2 shared E. Kaarlejärvi· 2 shared L. Hamberg· 2 shared M. S. Itter· 2 shared T. Tonteri· 2 shared M. Saastamoinen· 1 shared M. Salemaa· 1 shared P. Merilä· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 22 mutual co-author links

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2 shared papersEcology

A.-L. Laine

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Author profile →

3 papers

Recent·Most cited

Doors and corners of variance partitioning in statistical ecology

T. Schulz, M. Saastamoinen, J. Vanhatalo

The paper presents a Bayesian framework for variance partitioning in ecological studies, demonstrating its application through a butterfly metapopulation case study and highlighting challenges in interpreting variance components.

Ecological Monographs · Feb 1, 2025Peer-reviewedEcology

Inferring ecological selection from multidimensional community trait distributions along environmental gradients

E. Kaarlejärvi, M. S. Itter, T. Tonteri, L. Hamberg, M. Salemaa, P. Merilä, J. Vanhatalo, A.-L. Laine

The paper identifies ecological selection types shaping communities along environmental gradients using multidimensional trait distributions in boreal forest understory plant communities.

bioRxiv · Oct 10, 2023Ecology

Bayesian joint species distribution model selection for community-level prediction

M. S. Itter, E. Kaarlejärvi, A.-L. Laine, L. Hamberg, T. Tonteri, J. Vanhatalo

This paper introduces a Bayesian model selection approach for evaluating community-level predictions of joint species distribution models (JSDMs) and demonstrates its effectiveness across environmental gradients.

bioRxiv · May 3, 2022Ecology