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Funded Research

Tropical forest tree species community assemblage along wind disturbance gradients in Amazonian forests

Chambers, Jeffrey: Lawrence Berkeley National Laboratory (Project Lead)

Project Funding: 2009 - 2012

NRA: 2008 NASA: Biodiversity   

Funded by NASA

Abstract:
This project will study shifts in tree species community composition and plant functional types (PFTs) across disturbance gradients in the Amazon basin. Research will be conducted in the Brazilian and Peruvian Amazon, at sites near Manaus and Iquitos. Activities will build on and extend research conducted under NASA-funded LBA projects. Current approaches for sampling tropical tree diversity rely on field investigations that sample only a small portion of key environmental gradients. This project will bring together a close coupling of extensive field measurements of tree diversity patterns, satellite remote sensing to enable sampling across regional disturbance gradients, and community simulation models to better understand the mechanisms responsible for observed patterns at regional scales. The overarching hypothesis is that tree species community assembly patterns at the landscape scale, driven by episodic disturbance events, differ significantly from community assembly patterns at the local (< 100 ha) scale. The project has four major goals: First, episodic tree mortality disturbance will be mapped over large Amazon landscapes using Landsat imagery, enabling the development of disturbance chronosequences covering more than 20 years. Second, the chronosequence data will be used to direct extensive field sampling to quantify tree species patterns across the landscape as a function of disturbance intensity, and time since disturbance. Third, the detection threshold for shifts in PFTs from the competitor to colonizer guild will be explored using hyperspectral (Hyperion) imagery. Fourth, a tractable community assembly model will be developed to explore which community assemblage mechanisms best fit the observed landscape-level patterns. Results will provide an improved understanding of shifts in tree diversity and PFTs with disturbance, and will help inform future NASA missions including DESDynI and HyspIRI. This project will directly address the stated goal of better understanding the current condition of Amazon forest biodiversity, and how it is changing over time.

Publications:

Chambers, J. Q., Negron-Juarez, R. I., Hurtt, G. C., Marra, D. M., 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(12), E22-E25. DOI: 10.1111/j.1461-0248.2009.01398.x

Chambers, J. Q., Negron-Juarez, R. I., Marra, D. M., Di Vittorio, A., Tews, J., Roberts, D., Ribeiro, G. H. P. M., Trumbore, S. E., Higuchi, N. 2013. The steady-state mosaic of disturbance and succession across an old-growth Central Amazon forest landscape. Proceedings of the National Academy of Sciences. 110(10), 3949-3954. DOI: 10.1073/pnas.1202894110

Gao, H., Fu, R., Dickinson, R. E., Negron Juarez, R. I. 2008. A Practical Method for Retrieving Land Surface Temperature From AMSR-E Over the Amazon Forest. IEEE Transactions on Geoscience and Remote Sensing. 46(1), 193-199. DOI: 10.1109/tgrs.2007.906478

Marra, D. M., Chambers, J. Q., Higuchi, N., Trumbore, S. E., Ribeiro, G. H. P. M., dos Santos, J., Negron-Juarez, R. I., Reu, B., Wirth, C. 2014. Large-Scale Wind Disturbances Promote Tree Diversity in a Central Amazon Forest. PLoS ONE. 9(8), e103711. DOI: 10.1371/journal.pone.0103711

Negron, J. F. 2016. Reconstructing historicalDendroctonus ponderosaeactivity inPinus contorta forests in the northern Colorado Front Range. 2016 International Congress of Entomology. DOI: 10.1603/ice.2016.94984

Rifai, S. W., Urquiza Munoz, J. D., Negron-Juarez, R. I., Ramirez Arevalo, F. R., Tello-Espinoza, R., Vanderwel, M. C., Lichstein, J. W., Chambers, J. Q., Bohlman, S. A. 2016. Landscape-scale consequences of differential tree mortality from catastrophic wind disturbance in the Amazon. Ecological Applications. 26(7), 2225-2237. DOI: 10.1002/eap.1368


More details may be found in the following project profile(s):