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Marcos Longo

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Ministério da Agricultura, Pecuária e Abastecimento (Brasil). Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA). Embrapa Informática Agropecuária  (Institutional affiliation for the last research proposal)
Birthplace: Brazil

Dr. Marcos Longo has Bachelor?s (2000) and M. Sc. (2003) degrees from University of São Paulo, and Ph.D. (2014) degree in Earth and Planetary Sciences from Harvard University. He has scientific experience in the following areas: (1) mesoscale meteorology, with focus on dynamics of tropical convective systems and local circulations; (2) biosphere?atmosphere interactions, with focus on climate change impacts on ecosystem dynamics and carbon cycle in tropical rainforests, and on the impact of land use change on regional climate; (3) impacts of forest degradation through logging and fires on carbon cycle. He has experience in development and application of numerical models in atmospheric sciences, ecology, and carbon cycles; and experience in remote sensing using airborne lidar (light detection and ranging) for detecting changes in tropical forest structure and carbon stocks. He is currently a postdoctoral researcher at NASA Jet Propulsion Laboratory (Source: Lattes Curriculum)

News published in Agência FAPESP Newsletter about the researcher
African forest elephant helps increase biomass and carbon storage 
Scholarships in Brazil
FAPESP support in numbers * Updated October 12, 2019
Total / Available in English
3 / 3 Completed scholarships in Brazil

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Scientific publications resulting from Research Grants and Scholarships under the grantee's responsibility (7)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

Data from Web of Science

LEITOLD, VERONIKA; MORTON, DOUGLAS C.; LONGO, MARCOS; DOS-SANTOS, MAIZA NARA; KELLER, MICHAEL; SCARANELLO, MARCOS. El Nino drought increased canopy turnover in Amazon forests. NEW PHYTOLOGIST, v. 219, n. 3, SI, p. 959-971, . Web of Science Citations: 18. (15/07227-6)

SCARANELLO, MARCOS A. S.; KELLER, MICHAEL; LONGO, MARCOS; DOS-SANTOS, MAIZA N.; LEITOLD, VERONIKA; MORTON, DOUGLAS C.; PINAGE, EKENA R.; ESPIRITO-SANTO, FERNANDO DEL BON. Estimation of coarse dead wood stocks in intact and degraded forests in the Brazilian Amazon using airborne lidar. BIOGEOSCIENCES, v. 16, n. 17, p. 3457-3474, . Web of Science Citations: 0. (15/50392-8, 15/07227-6)

FISHER, ROSIE A.; KOVEN, CHARLES D.; ANDEREGG, WILLIAM R. L.; CHRISTOFFERSEN, BRADLEY O.; DIETZE, MICHAEL C.; FARRIOR, CAROLINE E.; HOLM, JENNIFER A.; HURTT, GEORGE C.; KNOX, RYAN G.; LAWRENCE, PETER J.; et al. Vegetation demographics in Earth System Models: A review of progress and priorities. GLOBAL CHANGE BIOLOGY, v. 24, n. 1, p. 35-54, . Web of Science Citations: 69. (15/07227-6)

LONGO, MARCOS; KELLER, MICHAEL; DOS-SANTOS, MAIZA N.; LEITOLD, VERONIKA; PINAGE, EKENA R.; BACCINI, ALESSANDRO; SAATCHI, SASSAN; NOGUEIRA, EULER M.; BATISTELLA, MATEUS; MORTON, DOUGLAS C.. Aboveground biomass variability across intact and degraded forests in the Brazilian Amazon. GLOBAL BIOGEOCHEMICAL CYCLES, v. 30, n. 11, p. 1639-1660, . Web of Science Citations: 27. (15/07227-6)

RAPPAPORT, DANIELLE I.; MORTON, DOUGLAS C.; LONGO, MARCOS; KELLER, MICHAEL; DUBAYAH, RALPH; DOS-SANTOS, MAIZA NARA. Quantifying long-term changes in carbon stocks and forest structure from Amazon forest degradation. ENVIRONMENTAL RESEARCH LETTERS, v. 13, n. 6, . Web of Science Citations: 8. (15/07227-6)

BECKNELL, JUSTIN M.; KELLER, MICHAEL; PIOTTO, DANIEL; LONGO, MARCOS; DOS-SANTOS, MAIZA NARA; SCARANELLO, MARCOS A.; DE OLIVEIRA CAVALCANTE, RODRIGO BRUNO; PORDER, STEPHEN. Landscape-scale lidar analysis of aboveground biomass distribution in secondary Brazilian Atlantic Forest. Biotropica, v. 50, n. 3, p. 520-530, . Web of Science Citations: 1. (15/07227-6)

PINAGE, EKENA RANGEL; KELLER, MICHAEL; DUFFY, PAUL; LONGO, MARCOS; DOS-SANTOS, MAIZA NARA; MORTON, DOUGLAS C.. Long-Term Impacts of Selective Logging on Amazon Forest Dynamics from Multi-Temporal Airborne LiDAR. REMOTE SENSING, v. 11, n. 6, . Web of Science Citations: 1. (15/07227-6)

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