Publications

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Publications Found: 23

Contrasting Carbon Cycle Responses to Dry (2015 El Niño) and Wet (2008 La Niña) Extreme Events at an Amazon Tropical Forest
Restrepo-Coupe, N., Campos, K. S., Alves, L. F., Longo, M., Wiedemann, K. T., de Oliveira, R. C., Aragao, L. E., Christoffersen, B. O., Camargo, P. B., Figueira, A. M., Ferreira, M. L., Oliveira, R. S., Penha, D., Prohaska, N., da Araujo, A. C., Daube, B. C., Wofsy, S. C., Saleska, S. R.

Land surface models diverge in their predictions of the Amazon forest’s response to climate change-induced droughts, with some showing a catastrophic collapse of forests, while others simulating resilience. Therefore, observations of tropical ecosystem responses to real-world droughts and other extreme events are needed. We report …


Journal: Agricultural And Forest Meteorology, Volume 353: 110037 (2024). DOI: https://doi.org/10.1016/j.agrformet.2024.110037 Sites: BR-Sa1

Remote Sensing Products Validated by Flux Tower Data in Amazon Rain Forest
Victor Hugo da Motta Paca, Gonzalo E. Espinoza-Dávalos, Rodrigo da Silva,Raphael Tapajós, Avner Brasileiro dos Santos Gaspar

This work compares methods of climate measurements, such as those used to measure evapotranspiration, precipitation, net radiation, and temperature. The satellite products used were compared and evaluated against flux tower data. Evapotranspiration was validated against the SSEBop monthly and GLEAM daily and monthly products, respectively, …


Journal: Remote Sensing, Volume 14 (5): 1259 (2022). DOI: 10.3390/rs14051259 Sites: BR-Sa1

Understanding Water And Energy Fluxes In The Amazonia: Lessons From An Observation‐Model Intercomparison
Restrepo‐Coupe, N., Albert, L. P., Longo, M., Baker, I., Levine, N. M., Mercado, L. M., da Araujo, A. C., Christoffersen, B. O., Costa, M. H., Fitzjarrald, D. R., Galbraith, D., Imbuzeiro, H., Malhi, Y., von Randow, C., Zeng, X., Moorcroft, P., Saleska, S. R.

Tropical forests are an important part of global water and energy cycles, but the mechanisms that drive seasonality of their land-atmosphere exchanges have proven challenging to capture in models. Here, we (1) report the seasonality of fluxes of latent heat (LE), sensible heat (H), and outgoing short and longwave radiation at four …


Journal: Global Change Biology, Volume 27 (9): 1802-1819 (2021). DOI: https://doi.org/10.1111/gcb.15555 Sites: BR-Cax, BR-Ji3, BR-Ma2, BR-Sa1

Cryptic Phenology In Plants: Case Studies, Implications, And Recommendations
Albert, L. P., Restrepo‐Coupe, N., Smith, M. N., Wu, J., Chavana‐Bryant, C., Prohaska, N., Taylor, T. C., Martins, G. A., Ciais, P., Mao, J., Arain, M. A., Li, W., Shi, X., Ricciuto, D. M., Huxman, T. E., McMahon, S. M., Saleska, S. R.

Plant phenology—the timing of cyclic or recurrent biological events in plants—offers insight into the ecology, evolution, and seasonality of plant-mediated ecosystem processes. Traditionally studied phenologies are readily apparent, such as flowering events, germination timing, and season-initiating budbreak. However, a broad …


Journal: Global Change Biology, Volume 25 (11): 3591-3608 (2019). DOI: https://doi.org/10.1111/gcb.14759 Sites: BR-Sa1, US-Ha1

The Spatial Variability Of Actual Evapotranspiration Across The Amazon River Basin Based On Remote Sensing Products Validated With Flux Towers
Paca, V. H., Espinoza-Dávalos, G. E., Hessels, T. M., Moreira, D. M., Comair, G. F., Bastiaanssen, W. G.

Actual evapotranspiration (ET) is a major component of the water balance. While several international flux measurement programs have been executed in the tropical rain forest of the Amazon, those measurements represent the evaporative process at a few selected sites only. The aim of this study is to obtain the spatial distribution …


Journal: Ecological Processes, Volume 8 (1): 20 (2019). DOI: 10.1186/s13717-019-0158-8 Sites: BR-Ma2, BR-Sa1, BR-Sa3

The Spatial Variability Of Actual Evapotranspiration Across The Amazon River Basin Based On Remote Sensing Products Validated With Flux Towers
Paca, V. H., Espinoza-Dávalos, G. E., Hessels, T. M., Moreira, D. M., Comair, G. F., Bastiaanssen, W. G.

Actual evapotranspiration (ET) is a major component of the water balance. While several international flux measurement programs have been executed in the tropical rain forest of the Amazon, those measurements represent the evaporative process at a few selected sites only. The aim of this study is to obtain the spatial distribution …


Journal: Ecological Processes, Volume 8 (1): (2019). DOI: https://doi.org/10.1186/s13717-019-0158-8 Sites: BR-Ma2, BR-Sa1, BR-Sa3

Carbon Exchange In An Amazon Forest: From Hours To Years
Hayek, M. N., Longo, M., Wu, J., Smith, M. N., Restrepo-Coupe, N., Tapajós, R., da Silva, R., Fitzjarrald, D. R., Camargo, P. B., Hutyra, L. R., Alves, L. F., Daube, B., Munger, J. W., Wiedemann, K. T., Saleska, S. R., Wofsy, S. C.

In Amazon forests, the relative contributions of climate, phenology, and disturbance to net ecosystem exchange of carbon (NEE) are not well understood. To partition influences across various timescales, we use a statistical model to represent eddy-covariance-derived NEE in an evergreen eastern Amazon forest as a constant response …


Journal: Biogeosciences, Volume 15 (15): 4833-4848 (2018). DOI: https://doi.org/10.5194/bg-15-4833-2018 Sites: BR-Sa1

Temporal Dynamics Of Aerodynamic Canopy Height Derived From Eddy Covariance Momentum Flux Data Across North American Flux Networks
Chu, H., Baldocchi, D. D., Poindexter, C., Abraha, M., Desai, A. R., Bohrer, G., Arain, M. A., Griffis, T., Blanken, P. D., O'Halloran, T. L., Thomas, R. Q., Zhang, Q., Burns, S. P., Frank, J. M., Christian, D., Brown, S., Black, T. A., Gough, C. M., Law, B. E., Lee, X., Chen, J., Reed, D. E., Massman, W. J., Clark, K., Hatfield, J., Prueger, J., Bracho, R., Baker, J. M., Martin, T. A.

Aerodynamic canopy height (ha) is the effective height of vegetation canopy for its influence on atmospheric fluxes and is a key parameter of surface‐atmosphere coupling. However, methods to estimate ha from data are limited. This synthesis evaluates the applicability and robustness of the calculation of ha from eddy covariance …


Journal: Geophysical Research Letters, Volume 45: 9275–9287 (2018). DOI: 10.1029/2018GL079306 Sites: BR-Sa1, BR-Sa3, CA-Ca1, CA-Ca2, CA-Ca3, CA-Cbo, CA-ER1, CA-Gro, CA-Man, CA-NS1, CA-NS2, CA-NS3, CA-NS4, CA-NS5, CA-Oas, CA-Obs, CA-Ojp, CA-Qfo, CA-TP1, CA-TP3, CA-TP4, CA-TPD, US-Blo, US-Bn1, US-Bn2, US-Br1, US-Br3, US-Ced, US-CPk, US-CRT, US-Dix, US-Dk2, US-Dk3, US-Fmf, US-Fuf, US-GBT, US-GLE, US-GMF, US-Ha1, US-Ha2, US-Ho2, US-Ho3, US-IB1, US-IB2, US-KL1, US-KL2, US-KL3, US-KM1, US-KM2, US-KM3, US-KM4, US-Me2, US-Me3, US-Me4, US-Me5, US-Me6, US-MMS, US-MRf, US-NC1, US-NC2, US-Ne1, US-Ne2, US-Ne3, US-NR1, US-Oho, US-Prr, US-Ro1, US-Ro3, US-SB1, US-Shd, US-Skr, US-Slt, US-SP1, US-SP2, US-SP3, US-SRM, US-Srr, US-Syv, US-Ton, US-Tw3, US-Twt, US-UMB, US-UMd, US-Var, US-Vcm, US-WBW, US-Wi0, US-Wi1, US-Wi3, US-Wi4, US-Wi5, US-Wi8, US-Wi9, US-Wrc

A Novel Correction For Biases In Forest Eddy Covariance Carbon Balance
Hayek, M. N., Wehr, R., Longo, M., Hutyra, L. R., Wiedemann, K., Munger, J. W., Bonal, D., Saleska, S. R., Fitzjarrald, D. R., Wofsy, S. C.


Journal: Agricultural And Forest Meteorology, Volume 250-251: 90-101 (2018). DOI: 10.1016/j.agrformet.2017.12.186 Sites: BR-Sa1, US-Ha1

Do Dynamic Global Vegetation Models Capture The Seasonality Of Carbon Fluxes In The Amazon Basin? A Data‐Model Intercomparison
Restrepo‐Coupe, N., Levine, N. M., Christoffersen, B. O., Albert, L. P., Wu, J., Costa, M. H., Galbraith, D., Imbuzeiro, H., Martins, G., da Araujo, A. C., Malhi, Y. S., Zeng, X., Moorcroft, P., Saleska, S. R.

To predict forest response to long-term climate change with high confidence requires that dynamic global vegetation models (DGVMs) be successfully tested against ecosystem response to short-term variations in environmental drivers, including regular seasonal patterns. Here, we used an integrated dataset from four forests in the Brasil …


Journal: Global Change Biology, Volume 23 (1): 191-208 (2017). DOI: https://doi.org/10.1111/gcb.13442 Sites: BR-Cax, BR-Ji3, BR-Ma2, BR-Sa1