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