Publication Search
Smith, W. K., Biederman, J. A., Scott, R. L., Moore, D. J., He, M., Kimball, J. S., Yan, D., Hudson, A., Barnes, M. L., MacBean, N., Fox, A. M., Litvak, M. E.
Journal: Geophysical Research Letters, Volume 45 (2): 748-757 (2018). DOI: 10.1002/2017GL075922 Sites: US-SRG, US-SRM, US-Whs, US-Wkg
Hemes, K. S., Chamberlain, S. D., Eichelmann, E., Knox, S. H., Baldocchi, D. D.
Peatland drainage is an important driver of global soil carbon loss and carbon dioxide (CO2) emissions. Restoration of peatlands by re‐flooding reverses CO2 losses at the cost of increased methane (CH4) emissions, presenting a biogeochemical compromise. While restoring peatlands is a potentially effective method for sequestering …
Journal: Geophysical Research Letters, Volume : (2018). DOI: 10.1029/2018GL077747 Sites: US-Myb, US-Tw1, US-Tw4
Posse, G., Lewczuk. N.A., Di Bella, C., Richter, K., Oricchio, P, Hilbert, J.
The increase in atmospheric greenhouse gases (GHGs) can be mitigated by capturing CO2 from the
atmosphere and/or by reducing their emissions. Replacing winter intercrop fallow by cover crops
(CCs) can sequester carbon and improve nitrogen use efficiency under proper management. We
monitored two cycles of a cash crop namely soybean …
Journal: Soil Use and Management, Volume 34 (4): 525-532 (2018), ISBN 10.1111/sum.12458. DOI: Sites: AR-CCa
Kobayashi, H., Nagai, S., Kim, Y., Yang, W., Ikeda, K., Ikawa, H., Nagano, H., Suzuki, R.
Plant phenology timings, such as spring green-up and autumn senescence, are essential state information characterizing biological responses and terrestrial carbon cycles. Current efforts for the in situ reflectance measurements are not enough to obtain the exact interpretation of how seasonal spectral signature responds to phenological …
Journal: Remote Sensing, Volume 10 (7): 1071 (2018). DOI: doi:10.3390/rs10071071 Sites: US-Prr
Seyfried, M., Lohse, K., Marks, D., Flerchinger, G., Pierson, F., Holbrook, W. S.
Journal: Vadose Zone Journal, Volume 17 (1): 0 (2018). DOI: doi:10.2136/vzj2018.07.0129 Sites: US-Rls, US-Rms, US-Rws
Brantley, S. L., White, T., West, N., Williams, J. Z., Forsythe, B., Shapich, D., Kaye, J., Lin, H., Shi, Y., Kaye, M., Herndon, E., Davis, K. J., He, Y., Eissenstat, D., Weitzman, J., DiBiase, R., Li, L., Reed, W., Brubaker, K., Gu, X.
Core Ideas
Studying the critical zone requires targeted research on water, energy, gas, solutes, and sediments.
The SSHCZO targets a 165-km2 watershed on sedimentary rocks in the northeastern United States.
One SSHCZO subcatchment, Shale Hills, provides extraordinary data describing a shale CZ.
The Susquehanna Shale Hills Critical …
Journal: Vadose Zone Journal, Volume 17 (1): 1-19 (2018). DOI: 10.2136/vzj2018.04.0092 Sites: US-SSH
LaRue, E. A., Atkins, J. W., Dahlin, K., Fahey, R., Fei, S., Gough, C., Hardiman, B. S.
Journal: International Journal Of Applied Earth Observation And Geoinformation, Volume 73: 420-427 (2018). DOI: 10.1016/j.jag.2018.07.001 Sites: US-UMB, US-UMd
Kim, J., Hwang, T., Schaaf, C. L., Kljun, N., Munger, J. W.
Net ecosystem exchange (NEE) measurements using the eddy covariance technique have been widely used for calibration and evaluation of carbon flux estimates from terrestrial ecosystem models as well as for remote sensing-based estimates across various spatial and temporal scales. Therefore, it is vital to fully understand the land …
Journal: Agricultural And Forest Meteorology, Volume 253-254: 71-83 (2018). DOI: 10.1016/j.agrformet.2018.02.004 Sites: US-Ha1
Fox, A. M., Hoar, T. J., Anderson, J. L., Arellano, A. F., Smith, W. K., Litvak, M. E., MacBean, N., Schimel, D. S., Moore, D. J.
Journal: Journal Of Advances In Modeling Earth Systems, Volume 10 (10): 2471-2494 (2018). DOI: 10.1029/2018MS001362 Sites: US-Mpj
Schmidt, A., Creason, W., Law, B. E.
he ability to accurately predict changes of the carbon and energy balance on a regional scale is of great importance for assessing the effect of land use changes on carbon sequestration under future climate conditions. Here, a suite of land cover-specific Distributed Time Delay Neural Networks with a parameter adoption algorithm …
Journal: Neural Networks, Volume 108: 97-113 (2018). DOI: 10.1016/j.neunet.2018.08.004 Sites: US-Var
