Author

D. Coomes

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· 8 Plant Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 7 Assay:imaging· 6 Approach:statistical model· 4 Approach:deep learning· 2 Approach:experimental assay· 2 Assay:spatial transcriptomics· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

C. R. Reis· 3 shared E. B. Gorgens· 3 shared J. P. Ometto· 3 shared M. H. Nunes· 3 shared T. D. Jackson· 3 shared D. R. A. Almeida· 2 shared J. G. C. Ball· 2 shared M. Keller· 2 shared

Activity by Year

2019-2024 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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3 shared papersEcology

C. R. Reis

Mutual co-authors in cluster

Author profile →

9 papers

Recent·Most cited

Advances and limits of species-level canopy mapping in a hyperdiverse tropical forest: multi-temporal crown segmentation and airborne imaging spectroscopy

J. G. C. Ball, S. Jaffer, A. Laybros, C. Prieur, T. D. Jackson, A. Madhavapeddy, N. Barbier, G. Vincent, D. Coomes

This study evaluates species-level canopy mapping in a hyperdiverse tropical forest using multi-temporal crown segmentation and airborne hyperspectral data, finding 70% canopy area correctly mapped to species.

bioRxiv · Jun 24, 2024 · PreprintEcology

Sensitivity of estimates of the effectiveness of REDD+ projects to matching specifications and moving from pixels to polygons as the unit of analysis

A. Guizar-Coutino, D. Coomes, T. Swinfield, J. P. Jones

This study evaluates how different matching specifications and analysis units affect estimates of REDD+ project effectiveness, finding consistent results despite methodological variations.

bioRxiv · May 22, 2024 · PreprintEcology

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

Using deep convolutional neural networks to forecast spatial patterns of Amazonian deforestation

J. G. C. Ball, K. Petrova, D. Coomes, S. Flaxman

This paper uses deep convolutional neural networks to predict future deforestation in the Amazon by analyzing satellite imagery and historical data.

bioRxiv · Dec 14, 2021Ecology

Why can we detect lianas from space?

M. D. Visser, M. Detto, F. Meunier, J. Wu, B. Bongalov, D. Coomes, M. H. Nunes, J. A. Guzman Q., A. Sanchez-Azofeifa, J. Foster, E. Broadbent, H. Verbeeck, D. Marvin, C. J. Chandler, G. M. F. van der Heijden, , S. W. Pacala

The paper identifies a consistent spectral signature of lianas across scales, showing their detectability from space but highlighting challenges in accurate remote sensing due to trait overlap with other species.

bioRxiv · Sep 30, 2021 · PreprintPlant Biology

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

The environmental impacts of palm oil and its alternatives

R. M. Beyer, A. P. Duran, T. T. Rademacher, P. Martin, C. Tayleur, S. E. Brooks, D. Coomes, P. F. Donald, F. J. Sanderson

This study compares the environmental impacts of five major vegetable oils, finding oil palm has the lowest carbon and biodiversity loss per tonne of oil but affects range-restricted species more than sunflower and rapeseed.

bioRxiv · Feb 16, 2020 · PreprintEcology

The mechanical stability of the worlds tallest broadleaf trees

T. D. Jackson, A. F. Shenkin, N. Majalap, J. bin Jami, A. bin Sailim, G. Reynolds, D. Coomes, C. Chandler, D. Boyd, A. Burt, P. Wilkes, M. Disney

This study examines mechanical stability factors limiting tree height in tall tropical trees, finding that wind damage risk increases with height despite larger diameters, leading to a U-shaped mechanical risk curve.

bioRxiv · Jun 10, 2019Ecology