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Publications Found: 1378

Long‐Term Evapotranspiration Rates For Rainfed Corn Versus Perennial Bioenergy Crops In A Mesic Landscape
Abraha, M., Chen, J., Hamilton, S. K., Robertson, G. P.

Journal: Hydrological Processes, Volume 34 (3): 810-822 (2020), ISBN . DOI: DOI: 10.1002/hyp.13630 Sites: US-KL1, US-KL2, US-KL3, US-KM1, US-KM2, US-KM3, US-KM4

Long‐Term Evapotranspiration Rates For Rainfed Corn Versus Perennial Bioenergy Crops In A Mesic Landscape
Abraha, M., Chen, J., Hamilton, S. K., Robertson, G. P.

Journal: Hydrological Processes, Volume 34 (3): 810-822 (2020), ISBN . DOI: DOI: 10.1002/hyp.13630 Sites: US-KL1, US-KL2, US-KL3, US-KM1, US-KM2, US-KM3, US-KM4

Long‐Term Evapotranspiration Rates For Rainfed Corn Versus Perennial Bioenergy Crops In A Mesic Landscape
Abraha, M., Chen, J., Hamilton, S. K., Robertson, G. P.

Journal: Hydrological Processes, Volume 34 (3): 810-822 (2020), ISBN . DOI: DOI: 10.1002/hyp.13630 Sites: US-KL1, US-KL2, US-KL3, US-KM1, US-KM2, US-KM3, US-KM4

Climate Sensitivity Of Peatland Methane Emissions Mediated By Seasonal Hydrologic Dynamics
Feng, X., Deventer, M. J., Lonchar, R., Ng, G. H., Sebestyen, S. D., Roman, D. T., Griffis, T. J., Millet, D. B., Kolka, R. K.

Peatlands are among the largest natural sources of atmospheric methane (CH4) worldwide.
Peatland emissions are projected to increase under climate change, as rising temperatures and shifting
precipitation accelerate microbial metabolic pathways favorable for CH4 production. However, how these
changing environmental factors will …

Journal: Geophysical Research Letters, Volume 47 (17): (2020), ISBN . DOI: https://doi.org/10.1029/2020GL088875 Sites: US-MBP

Carbon Dioxide And Methane Emissions From A Temperate Salt Marsh Tidal Creek
Trifunovic, B., Vázquez‐Lule, A., Capooci, M., Seyfferth, A. L., Moffat, C., Vargas, R.

Coastal salt marshes store large amounts of carbon but the magnitude and patterns of greenhouse gas (GHG; i.e., carbon dioxide (CO2) and methane (CH4)) fluxes are unclear. Information about GHG fluxes from these ecosystems comes from studies of sediments or at the ecosystem‐scale (eddy covariance) but fluxes from tidal creeks are …

Journal: Journal Of Geophysical Research: Biogeosciences, Volume 125 (8): (2020), ISBN . DOI: 10.1029/2019JG005558 Sites: US-StJ

Cooling And Moistening Of The Planetary Boundary Layer In Interior Alaska Due To A Postfire Change In Surface Energy Exchange
Ueyama, M., Yamamori, T., Iwata, H., Harazono, Y.

Journal: Journal Of Geophysical Research: Atmospheres, Volume 125 (18): (2020), ISBN . DOI: 10.1029/2020JD032968 Sites: US-Rpf, US-Uaf

Detecting Intra- And Inter-Annual Variability In Gross Primary Productivity Of A North American Grassland Using Modis Maiac Data
Wang, R., Gamon, J. A., Emmerton, C. A., Springer, K. R., Yu, R., Hmimina, G.

Journal: Agricultural And Forest Meteorology, Volume 281: 107859 (2020), ISBN . DOI: 10.1016/j.agrformet.2019.107859 Sites:

Much Stronger Tundra Methane Emissions During Autumn Freeze Than Spring Thaw
Bao, T., Xu, X., Jia, G., Billesbach, D. P., Sullivan, R. C.

Journal: Global Change Biology, Volume : (2020), ISBN . DOI: https://doi.org/10.1111/gcb.15421 Sites: US-A03, US-A10, US-Ivo

An Eddy Covariance Mesonet For Measuring Greenhouse Gas Fluxes In Coastal South Carolina
Forsythe, J. D., O’Halloran, T. L., Kline, M. A.

Coastal ecosystems are vulnerable to climate change and have been identified as sources of uncertainty in the global carbon budget. Here we introduce a recently established mesonet of eddy covariance towers in South Carolina and describe the sensor arrays and data workflow used to produce three site-years of flux observations in …

Journal: Data, Volume 5 (4): 97 (2020), ISBN . DOI: 10.3390/data5040097 Sites: US-HB1, US-HB2, US-HB3

Foliage Senescence As A Key Parameter For Modeling Gross Primary Productivity In A Mediterranean Shrubland
Cueva, A., Bullock, S. H., Méndez‐Alonzo, R., López‐Reyes, E., Vargas, R.

Journal: Journal Of Geophysical Research: Biogeosciences, Volume : (2020), ISBN . DOI: 10.1029/2020JG005839 Sites: MX-EMg

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