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  Folha Amazônica


Principal Investigators:

Plínio Barbosa de Camargo, USP - Universidade de Sao Paulo (SA-PI)
Jeffrey Q. Chambers, Tulane University (US-PI)
Niro Higuchi, INPA - Instituto Nacional de Pesquisas na Amazonia (SA-PI)
Joaquim dos Santos, INPA-Instituto Nacional de Pesquisas da Amazônia (SA-PI)


Abstract 2006:  Disturbance Effects on Carbon Dynamics in Old-Growth Amazon Forest: Model Algorithm Development and Synthesis from Individual Trees to Landscapes (View)


Investigation Duration:   01/2006 - 01/2008


CD-34 is a successor to investigation(s) CD-08.



Heloise Leandro dos Passos Batista, Inpa (Instituto Nacional de Pesquisas da Amazônia)
Plínio Barbosa de Camargo, SA-PI, USP - Universidade de Sao Paulo
Jeffrey Q. Chambers, US-PI, Tulane University
Cristina Aledi Felsemburgh, CENA/USP
Jeremy Isaac Fisher, Tulane University
Giuliano Piotto Guimarães, INPA
Niro Higuchi, SA-PI, INPA - Instituto Nacional de Pesquisas na Amazonia
Amanda L. Robertson, Tulane University
Joaquim dos Santos, SA-PI, INPA-Instituto Nacional de Pesquisas da Amazônia
Roseana P. da Silva, INPA - Instituto Nacional de Pesquisas na Amazonia
Liliane Martins Teixeira, INPA - Instituto Nacional de Pesquisas na Amazonia
Edgard Siza Tribuzy, INPA - Instituto Nacional de Pesquisas na Amazonia
Susan E. Trumbore, University of California
Simone Vieira, CENA - Centro de Energia Nuclear na Agricultura (USP)


Research Sites:

Amazon Basin (large-scale studies)

Amazonas (Manaus)

Training and Education Activities - Proposed:

A number of students at the Ph.D., post-Masters and Master degree level have been involved with the research associated with this project. Amanda Sesser (Ph.D. student Tulane University) has been developing field projects at INPA reserve sites in collaboration with project Brazilian counterpart Dr. Niro Higuchi. A number of INPA students are also involved in this collaborative field work, including Giuliano Guimarães (INPA Masters student), Liliane Teixeira (INPA post-Masters researcher), and Vilany Carneiro (INPA post-Masters researcher). Although these and other field activities are not directly supported by this project, these field work activities are important for developing a broader understanding of remote sensing and modeling investigations carried out in our project. For example, in one project with support from INPA and Tulane students, remote sensing investigations (using Hyperion data) on tree mortality intensity from blowdowns that occurred in 2005 are being quantified in the field, allowing field-tested mortality maps important for generating mortality distribution functions. These functions are currently being incorporated into the Ecosystem Demography model as one of the main goals of project CD-34. Another project with field work carried out in 2005, has quantified species composition in old blowdowns using spectral unmixing methods on Hyperion imagery, and this work has resulted in the following manuscript that will soon be submitted:

Chambers, J. Q., M. Sesser, V. Carneiro, M. L. Smith, L. Plourde, and N. Higuchi. (in prep). Hyperspectral remote detection of niche partitioning among canopy trees driven by blowdown gap disturbances in the Central Amazon. Ecology Letters.

Additionally, under the auspices of CD-34, a number of students at Tulane University and INPA participated in the Synthesis Leadership workshop held in New Orleans in June of 2006. As a direct outcome of workshop activities, both Ph.D. and post-doctoral researchers who have worked with the LBA for many years are co-authors on a review article that was proposed, accepted and submitted to Trends in Ecology and Evolution. This review article represents a major synthesis contribution. In the next performance year (2007), one more workshop will be held either in Manaus or New Orleans. Similar to the first workshop, student participation will be broadly supported. Another education and training activity that will be conducted in 2007, will be to support research trips by INPA students who have participated in LBA activities for many years, providing an opportunity to complete research manuscripts here at Tulane University. Students who have expressed interest in these research trips to Tulane include Edgard Tribuzy, Liliane Teixeira, Adriano Nogueiro, and Giuliano Guimarães, all at INPA.


Training and Education Activities - Accomplished:

Currently none available.


Datasets/Posters Available as of 2014-04-02

Datasets (with related publications, if any)

LBA-ECO CD-34 Hyperion 30-m Surface Reflectance, Amazon Basin: 2002-2005

  1. Chambers, J.Q., A.L. Robertson, V.M.C. Carneiro, A.J.N. Lima, M.L. Smith, L.C. Plourde, and N. Higuchi. 2009. Hyperspectral remote detection of niche partitioning among canopy trees driven by blowdown gap disturbances in the Central Amazon. Oecologia 160(1):107-117.
LBA-ECO CD-34 Landsat Fractional Land Cover Analysis, Manaus, Brazil: 2004-2005

  1. Negron-Juarez, R.I., J.Q. Chambers, G. Guimaraes, H.C. Zeng, C.F.M. Raupp, D.M. Marra, G.H.P.M. Ribeiro, S.S. Saatchi, B.W. Nelson, and N. Higuchi. 2010. Widespread Amazon forest tree mortality from a single cross-basin squall line event. Geophysical Research Letters 37, L16701, doi:10.1029/2010GL043733



Chambers JQ, Asner GP, Morton DC, Anderson LO, Saatch SS, Espirito-Santo FDB, Palace M, Souza C. (2007) Regional ecosystem structure and function: ecological insights from remote sensing of tropical forests. Trends in Ecology & Evolution, 22, 414-423. (abstract)

Chambers JQ, Fisher JI, Zeng HC, Chapman EL, Baker DB, Hurtt GC. (2007) Hurricane Katrina\'s carbon footprint on U. S. Gulf Coast forests. Science, 318, 1107.

Luyssaert S, Inglima I, Jung M, Richardson AD, Reichsteins M, Papale D, Piao SL, Schulzes ED, Wingate L, Matteucci G, Aragao L, Aubinet M, Beers C, Bernhoffer C, Black KG, Bonal D, Bonnefond JM, Chambers J, Ciais P, Cook B, Davis KJ, Dolman AJ, Gielen B, Goulden M, Grace J, Granier A, Grelle A, Griffis T, Grunwald T, Guidolotti G, Hanson PJ, Harding R, Hollinger DY, Hutyra LR, Kolar P, Kruijt B, Kutsch W, Lagergren F, Laurila T, Law BE, Le Maire G, Lindroth A, Loustau D, Malhi Y, Mateus J, Migliavacca M, Misson L, Montagnani L, Moncrieff J, Moors E, Munger JW, Nikinmaa E, Ollinger SV, Pita G, Rebmann C, Roupsard O, Saigusa N, Sanz MJ, Seufert G, Sierra C, Smith ML, Tang J, Valentini R, Vesala T, Janssens IA. (2007) CO2 balance of boreal, temperate, and tropical forests derived from a global database. Global Change Biology, 13, 2509-2537. (abstract)

*Fisher JI, Hurtt GC, Thomas RQ, Chambers JQ. (2008) Clustered disturbances lead to bias in large-scale estimates based on forest sample plots. Ecology Letters, 11, 554-563. (abstract)

*Chambers JQ, Negron-Juarez RI, Hurtt GC, Marra DM, Higuchi N. (2009) Lack of intermediate-scale disturbance data prevents robust extrapolation of plot-level tree mortality rates for old-growth tropical forests. Ecology Letters, 12, 22-25. (abstract)

Chambers JQ, Robertson AL, Carneiro VMC, Lima AJN, Smith ML, Plourde LC, Higuchi N. (2009) Hyperspectral remote detection of niche partitioning among canopy trees driven by blowdown gap disturbances in the Central Amazon. Oecologia, 160, 107-117. (abstract)

Potter C, Klooster S, Huete A, Genovese V, Bustamante M, Ferreira LG, de Oliveira RC, Zepp R. (2009) Terrestrial carbon sinks in the Brazilian Amazon and Cerrado region predicted from MODIS satellite data and ecosystem modeling. Biogeosciences, 6, 937-945. (abstract)

Negron-Juarez RI, Chambers JQ, Guimaraes G, Zeng HC, Raupp CFM, Marra DM, Ribeiro GHPM, Saatchi SS, Nelson BW, Higuchi N. (2010) Widespread Amazon forest tree mortality from a single cross-basin squall line event. Geophysical Research Letters, 37. (abstract)


Matrix of Publications-Datasets:  more


Science Questions:

Carbon Dynamics:

        CD-Q3 - What are the relative contributions of fluxes from natural and disturbed ecosystems to the net Amazônia-wide flux?
        CD-Q3b - How does selective logging change the storage and cycling of carbon in forests?

Synthesis Group:  Synthesis: Forest Disturbance -- Regional forest disturbance-recovery processes across the trees-to-landscapes gradient


Other Research Teams:

CD-01  -  CD-02  -  CD-03  -  CD-04  -  CD-05  -  CD-06  -  CD-07  -  CD-08  -  CD-09  -  
CD-10  -  CD-11  -  CD-12  -  CD-14  -  CD-15  -  CD-17  -  CD-18  -  CD-30  -  CD-31  -  
CD-32  -  CD-33  -  CD-35  -  CD-36  -  CD-37  -  CD-40  -  CD-41  -  LC-01  -  LC-02  -  
LC-03  -  LC-04  -  LC-05  -  LC-06  -  LC-07  -  LC-08  -  LC-09  -  LC-10  -  LC-11  -  
LC-12  -  LC-13  -  LC-14  -  LC-15  -  LC-16  -  LC-21  -  LC-22  -  LC-23  -  LC-24  -  
LC-30  -  LC-31  -  LC-32  -  LC-33  -  LC-34  -  LC-35  -  LC-36  -  LC-37  -  LC-38  -  
LC-39  -  ND-01  -  ND-02  -  ND-03  -  ND-04  -  ND-06  -  ND-07  -  ND-08  -  ND-09  -  
ND-10  -  ND-11  -  ND-30  -  ND-31  -  PC-30  -  TG-01  -  TG-02  -  TG-03  -  TG-04  -  
TG-05  -  TG-06  -  TG-07  -  TG-08  -  TG-09  -  TG-10  -  TG-30  -  TG-31  -  TG-32



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