Author

P. Beja

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:experimental assay· 2 Research Focus:batch correction / integration· 1 Assay:metagenomics· 1 Approach:statistical model· 1

Frequent Co-Authors

A. Bonn· 1 shared A. L. Solheim· 1 shared A. Moran-Ordonez· 1 shared B. Egeter· 1 shared B. Smets· 1 shared C. Capinha· 1 shared C. Chaves· 1 shared C. Langer· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperEcology

A. Bonn

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3 papers

Recent·Most cited

Biodiversity monitoring in Europe: user and policy needs

H. Moersberger, J. W. Valdez, J. G. C. Martin, J. Junker, I. Georgieva, S. Bauer, P. Beja, T. D. Breeze, M. Fernandez, N. Fernandez, L. Brotons, U. Jandt, H. Bruelheide, D. W. Kissling, C. Langer, , A. Bonn

The paper identifies gaps in biodiversity monitoring in Europe and recommends establishing a coordinated network to improve data harmonization and policy response to biodiversity loss.

bioRxiv · Jul 12, 2023Ecology

Simultaneous equations modelling of communities with interacting species networks

M. Porto, P. Beja

This paper introduces SCEM, a framework to model asymmetric biotic interactions in ecological communities using genetic algorithms, and demonstrates its application with a case study.

bioRxiv · Mar 7, 2021 · PreprintEcology

Speeding up the detection of invasive aquatic species using environmental DNA and nanopore sequencing

B. Egeter, J. Verissimo, M. Lopes_Lima, C. Chaves, J. Pinto, N. Riccardi, P. Beja, N. A. Fonseca

This paper develops a protocol and bioinformatic tools to improve nanopore sequencing for detecting invasive aquatic species using eDNA, demonstrating reliable detection in field samples.

bioRxiv · Jun 9, 2020 · PreprintEcology