Ruben Valbuena

Research activity per year

Contact Info

Room: G19, Thoday Building, School of Natural Sciences, Bangor University

Phone: +44 (0)1248 38 2445

Web: GoogleScholar, ResearchGate, Publons

Contact Info

My work consists in the use of big data to answer ecological questions at the ecosystem community and landscape levels. I use remote sensing data, LIDAR in particular, due to its great potential for analysing structural and morphological traits of ecosystems, and thus estimate carbon stocks, ecosystem services, or habitat suitability for species. During the last seven years, I have pioneer adaptations of methods based on Lorenz curves to forest science and remote sensing; work awarded with the International Union of Forest Researchers (IUFRO) 2019’s Outstanding Doctoral Research Award.

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68 Article
1 Review article
1 Working paper

Continuous Cover Forestry and Remote Sensing : A Review of Knowledge Gaps, Challenges, and Potential Directions
Stoddart, J., Suarez, J., Mason, W. & Valbuena, R., Dec 2023, In: Current Forestry Reports. 9, 6, p. 490-501 12 p.
Research output: Contribution to journal › Article › peer-review

Open Access
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101 Downloads (Pure)
Long-term satellite observations show continuous increase of vegetation growth enhancement in urban environment
Peng, X., Jiang, S., Liu, S., Valbuena, R., Smith, A., Zhan, Y., Shi, Y., Ning, Y., Feng, S., Gao, H. & Wang, Z., 10 Nov 2023, In: Science of the Total Environment. 898, 165515.
Research output: Contribution to journal › Article › peer-review

Open Access
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58 Downloads (Pure)
Vascular optimality dictates plant morphology away from Leonardo’s rule
Sopp, S. & Valbuena, R., Sept 2023, In: Proceedings of the National Academy of Sciences of the United States of America: PNAS. 120, 39, e2215047120.
Research output: Contribution to journal › Article › peer-review

Open Access
File
163 Downloads (Pure)
Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission
Duncanson, L., Kellner, J. R., Armston, J., Dubayah, R., Minor, D. M., Hancock, S., Healey, S. P., Patterson, P. L., Saarela, S., Marselis, S., Silva, C. E., Bruening, J., Goetz, S. J., Tang, H., Hofton, M., Blair, B., Luthcke, S., Fatoyinbo, L., Abernethy, K. & Alonso, A. & 98 others, Andersen, H.-E., Aplin, P., Baker, T. R., Barbier, N., Bastin, J. F., Biber, P., Boeckx, P., Bogaert, J., Boschetti, L., Boucher, P. B., Boyd, D. S., Burslem, D. F. R. P., Calvo-Rodriguez, S., Chave, J., Chazdon, R. L., Clark, D. B., Clark, D. A., Cohen, W. B., Coomes, D. A., Corona, P., Cushman, K. C., Cutler, M. E. J., Dalling, J. W., Dalponte, M., Dash, J., de-Miguel, S., Deng, S., Ellis, P. W., Erasmus, B., Fekety, P. A., Fernandez-Landa, A., Ferraz, A., Fischer, R., Fisher, A. G., García-Abril, A., Gobakken, T., Hacker, J. M., Heurich, M., Hill, R. A., Hopkinson, C., Huang, H., Hubbell, S. P., Hudak, A. T., Huth, A., Imbach, B., Jeffery, K. J., Katoh, M., Kearsley, E., Kenfack, D., Kljun, N., Knapp, N., Král, K., Krůček, M., Labrière, N., Lewis, S. L., Longo, M., Lucas, R. M., Main, R., Manzanera, J. A., Martínez, R. V., Mathieu, R., Memiaghe, H., Meyer, V., Mendoza, A. M., Monerris, A., Montesano, P., Morsdorf, F., Næsset, E., Naidoo, L., Nilus, R., O’Brien, M., Orwig, D. A., Papathanassiou, K., Parker, G., Philipson, C., Phillips, O. L., Pisek, J., Poulsen, J. R., Pretzsch, H., Rüdiger, C., Saatchi, S., Sanchez-Azofeifa, A., Sanchez-Lopez, N., Scholes, R., Silva, C. A., Simard, M., Skidmore, A., Stereńczak, K., Tanase, M., Torresan, C., Valbuena, R., Verbeeck, H., Vrska, T., Wessels, K., White, J. C., White, L. J. T., Zahabu, E. & Zgraggen, C., 2022, In: Remote Sensing of Environment. 270
Research output: Contribution to journal › Article › peer-review
A Conceptual Model for Detecting Small-Scale Forest Disturbances Based on Ecosystem Morphological Traits
Stoddart, J., Almeida, D., Silva, C. A., Gorgens, E. B., Keller, M. & Valbuena, R., 15 Feb 2022, In: Remote Sensing. 14, 4
Research output: Contribution to journal › Article › peer-review

Open Access
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81 Downloads (Pure)

3 Finished

The Europena Forest Information Network (EFINET)
Valbuena, R. (PI)
1/06/21 → 31/12/24
Project: Research
AMAZECO - An Ecosystem Structure EBV product covering the Amazon combining satelite and airborne LIDAR
Valbuena, R. (PI)
1/10/20 → 31/12/24
Project: Research
KESS II East Phd with Forest Research BUK2E010
Valbuena, R. (PI)
1/11/19 → 31/03/24
Project: Research

Early-Stage researcher biannual Prize “José L. Labrandero”
Valbuena, R. (Recipient), 2017
Prize: National/international honour
International Union of Forest Researchers (IUFRO) Outstanding Doctoral Research Award
Valbuena, R. (Recipient), 2019
Prize: National/international honour

Ruben Valbuena

Personal profile

Contact Info

Contact Info

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

Continuous Cover Forestry and Remote Sensing : A Review of Knowledge Gaps, Challenges, and Potential Directions

Long-term satellite observations show continuous increase of vegetation growth enhancement in urban environment

Vascular optimality dictates plant morphology away from Leonardo’s rule

Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission

A Conceptual Model for Detecting Small-Scale Forest Disturbances Based on Ecosystem Morphological Traits

The Europena Forest Information Network (EFINET)

AMAZECO - An Ecosystem Structure EBV product covering the Amazon combining satelite and airborne LIDAR

KESS II East Phd with Forest Research BUK2E010

Early-Stage researcher biannual Prize “José L. Labrandero”

International Union of Forest Researchers (IUFRO) Outstanding Doctoral Research Award

Ruben Valbuena

Personal profile

Contact Info

Contact Info

Fingerprint

Collaborations and top research areas from the last five years

Research output

Projects

Prizes