Author

E. B. Gorgens

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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Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 3 Assay:imaging· 3 Approach:experimental assay· 2 Approach:statistical model· 2 Research Focus:development & morphogenesis· 1 Organism:plant (other)· 1

Frequent Co-Authors

C. R. Reis· 3 shared D. Coomes· 3 shared J. P. Ometto· 3 shared D. R. A. Almeida· 2 shared M. H. Nunes· 2 shared M. Keller· 2 shared A. R. Rech· 1 shared A. Z. Motta· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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3 shared papersEcology

C. R. Reis

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Cross-pollination is more important than gibberellin application in the germination of the everlasting flowers of Janeirona carrasqueira (morphotype of Comanthera bisulcata)

M. L. de Azevedo, M. N. S. d. Oliveira, A. R. Rech, J. C. Barbosa, E. B. Gorgens, E. L. M. Machado, I. M. Pereira

bioRxiv · Aug 3, 2023Ecology

Tracking canopy gap dynamics across four sites in the Brazilian Amazon

E. B. Gorgens, M. Keller, T. D. Jackwon, D. M. Marra, C. R. Reis, D. R. A. Almeida, D. Coomes, J. P. Ometto

The paper uses remote sensing to analyze canopy gap dynamics across four Amazon regions, finding that gap recovery rates vary with environmental factors.

bioRxiv · Sep 3, 2022Ecology

Forest structure and degradation drive canopy gap sizes across the Brazilian Amazon

C. R. Reis, T. D. Jackson, E. B. Gorgens, R. Dalagnol, T. Jucker, M. H. Nunes, J. P. Ometto, L. Aragao, L. C. Rodriguez, D. Coomes

The paper investigates how forest structure and degradation influence canopy gap sizes across the Brazilian Amazon using LiDAR data.

bioRxiv · May 3, 2021Ecology

Resource availability and disturbance shape maximum tree height across the Amazon

E. B. Gorgens, M. H. Nunes, T. Jackson, D. Coomes, M. Keller, C. R. Reis, R. Valbuena, J. Rosette, D. R. A. Almeida, B. Gimenez, R. Z. Cantinho, A. Z. Motta, M. Assis, F. R. d. S. Pereira, G. Spanner, , J. P. Ometto

This study identifies environmental factors influencing the distribution of extremely tall trees in the Amazon using LiDAR data, finding wind speed as the strongest predictor.

bioRxiv · May 15, 2020Ecology