Publication Search
Moon, Z., Fuentes, J. D., Staebler, R. M.
Journal: Agricultural And Forest Meteorology, Volume 291: 108012 (2020). DOI: 10.1016/j.agrformet.2020.108012 Sites:
Griffis, T., Roman, D., Wood, J., Deventer, J., Fachin, L., Rengifo, J., Del Castillo, D., Lilleskov, E., Kolka, R., Chimner, R., del Aguila-Pasquel, J., Wayson, C., Hergoualc'h, K., Baker, J., Cadillo-Quiroz, H., Ricciuto, D.
Tropical peatlands are a major, but understudied, biophysical feedback factor on the atmospheric greenhouse effect. The largest expanses of tropical peatlands are located in lowland areas of Southeast Asia and the Amazon basin. The Loreto Region of Amazonian Peru contains ~63,000 km2 of peatlands. However, little is known about the …
Journal: Agricultural And Forest Meteorology, Volume 295: 108167 (2020). DOI: 10.1016/j.agrformet.2020.108167 Sites: PE-QFR
Lee, S., Black, T. A., Jassal, R. S., Christen, A., Meyer, G., Nesic, Z.
Journal: Forest Ecology And Management, Volume 455: 117645 (2020). DOI: https://doi.org/10.1016/j.foreco.2019.117645 Sites: CA-Ca3
Ma, S., Eichelmann, E., Wolf, S., Rey-Sanchez, C., Baldocchi, D. D.
Journal: Agricultural And Forest Meteorology, Volume 295: 108204 (2020). DOI: 10.1016/j.agrformet.2020.108204 Sites: US-Ton, US-Var
Hannun, R. A., Wolfe, G. M., Kawa, S. R., Hanisco, T. F., Newman, P. A., Alfieri, J. G., Barrick, J., Clark, K. L., DiGangi, J. P., Diskin, G. S., King, J., Kustas, W. P., Mitra, B., Noormets, A., Nowak, J. B., Thornhill, K. L., Vargas, R.
The exchange of carbon between the Earth’s atmosphere and biosphere influences the atmospheric abundances of carbon dioxide (CO2) and methane (CH4). Airborne eddy covariance (EC) can quantify surface-atmosphere exchange from landscape-to-regional scales, offering a unique perspective on carbon cycle dynamics.Weuse extensive airborne …
Journal: Environmental Research Letters, Volume 15 (3): 035008 (2020). DOI: 10.1088/1748-9326/ab7391 Sites: US-Ced, US-Slt
Briegel, F., Lee, S. C., Black, T. A., Jassal, R. S., Christen, A.
Journal: Ecological Modelling, Volume 435: 109266 (2020). DOI: https://doi.org/10.1016/j.ecolmodel.2020.109266 Sites: CA-Ca3
Wang, R., Gamon, J. A., Emmerton, C. A., Springer, K. R., Yu, R., Hmimina, G.
Journal: Agricultural And Forest Meteorology, Volume 281: 107859 (2020). DOI: 10.1016/j.agrformet.2019.107859 Sites:
Flerchinger, G. N., Fellows, A. W., Seyfried, M. S., Clark, P. E., Lohse, K. A.
Journal: Ecosystems, Volume 23 (2): 246-263 (2020). DOI: https://doi.org/10.1007/s10021-019-00400-x Sites: US-Rls, US-Rms, US-Rwe, US-Rwf
Song, J., Miller, G. R., Cahill, A. T., Aparecido, L. M., Moore, G. W.
This study compares the performance of the Community Land Models (CLM4.5 and CLM5) against tower and ground measurements from a tropical montane rainforest in Costa Rica. The study site receives over 4,000 mm of mean annual precipitation and has high daily levels of relative humidity. The measurement tower is equipped with eddy-covariance …
Journal: Geoscientific Model Development, Volume 13 (11): 5147-5173 (2020). DOI: 10.5194/gmd-13-5147-2020 Sites:
Pérez-Ruiz, E. R., Vivoni, E. R., Templeton, N. P.
Journal: Plos One, Volume 15 (2): e0228537 (2020). DOI: 10.1371/journal.pone.0228537 Sites: US-Px1
