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Long term effects of forest degradation on carbon cycling in Amazonia

Grant number: 15/07227-6
Support type:Scholarships in Brazil - Post-Doctorate
Effective date (Start): August 01, 2015
Effective date (End): July 31, 2017
Field of knowledge:Interdisciplinary Subjects
Principal Investigator:Michael Maier Keller
Grantee:Marcos Longo
Home Institution: Embrapa Informática Agropecuária. Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA). Ministério da Agricultura, Pecuária e Abastecimento (Brasil). Campinas , SP, Brazil

Abstract

Although deforestation in the Amazon have been decreasing during the last decade, processes associated with forest degradation such as logging, fragmentation, and understory fires still contribute significantly to the carbon cycle. However, the impact of forest degradation processes on carbon cycle remains very uncertain, and observation-based studies are often too short to characterize the long-term dynamics of degraded forests. To overcome some of these limitations, we will develop a framework that integrates field measurements and remote sensing data to an individual- and process-based model (Ecosystem Demography model, ED) to study the long-term impact of forest degradation on carbon cycling. We will develop the ED model to represent key forest degradation processes, by including a parameterization of selective logging disturbances and by implementing a mechanistic fire model that predicts understory fires. We will use forest inventories, airborne LiDAR, and satellite-based land use chronosequences for three focal areas in the Amazon with distinct land use change histories (Paragominas, Santarém, and Feliz Natal) to determine initial conditions that capture the heterogeneous landscape of degraded forests, and use multi-temporal data to assess and calibrate the new model implementations and regrowth following disturbance. We will then simulate an array of future climate and land-use scenarios to further understand the relevance of changes in the micro-environment relative to changes in climate, their interactions, and the contributions of disturbance-driven losses and regeneration-driven gains to the carbon stores and cycle in the long term. The developments resulting from this project will provide a novel framework to study the impact of anthropogenic disturbances on ecosystems throughout the 21st century that includes a much broader spectrum of direct and indirect effects of land use changes.

Articles published in Agência FAPESP about the scholarship:
African forest elephant helps increase biomass and carbon storage 

Scientific publications (6)
(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)
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 MAR 24 2019. Web of Science Citations: 1.
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, AUG 2018. Web of Science Citations: 17.
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 JUN 2018. Web of Science Citations: 7.
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, MAY 2018. Web of Science Citations: 1.
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.; LICHSTEIN, JEREMY W.; LONGO, MARCOS; MATHENY, ASHLEY M.; MEDVIGY, DAVID; MULLER-LANDAU, HELENE C.; POWELL, THOMAS L.; SERBIN, SHAWN P.; SATO, HISASHI; SHUMAN, JACQUELYN K.; SMITH, BENJAMIN; TRUGMAN, ANNA T.; VISKARI, TONI; VERBEECK, HANS; WENG, ENSHENG; XU, CHONGGANG; XU, XIANGTAO; ZHANG, TAO; MOORCROFT, PAUL R. Vegetation demographics in Earth System Models: A review of progress and priorities. GLOBAL CHANGE BIOLOGY, v. 24, n. 1, p. 35-54, JAN 2018. Web of Science Citations: 62.
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, NOV 2016. Web of Science Citations: 25.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.