Publication Search
Zscheischler, J., Fatichi, S., Wolf, S., Blanken, P., Bohrer, G., Clark, K., Desai, A., Hollinger, D., Keenan, T., Novick, K.A., Seneviratne, S.I.
Ecosystem models often perform poorly in reproducing interannual variability in carbon and water fluxes, resulting in considerable uncertainty when estimating the land-carbon sink. While many aggregated variables (growing season length, seasonal precipitation, or temperature) have been suggested as predictors for interannual variability …
Journal: Journal of Geophysical Research - Biogeosciences, Volume 121 (8): 2186-2198 (2016), ISBN . DOI: 10.1002/2016JG003503 Sites: US-Bar, US-Ced, US-Ho1, US-MMS, US-NR1, US-PFa, US-Slt, US-UMB
Toomey, M., Friedl, M. A., Frolking, S., Hufkens, K., Klosterman, S., Sonnentag, O., Baldocchi, D. D., Bernacchi, C. J., Biraud, S. C., Bohrer, G., Brzostek, E., Burns, S. P., Coursolle, C., Hollinger, D. Y., Margolis, H. A., McCaughey, H., Monson, R. K., Munger, J. W., Pallardy, S., Phillips, R. P., Torn, M. S., Wharton, S., Zeri, M., Richardson, A. D.
The proliferation of digital cameras co‐located with eddy covariance instrumentation provides new opportunities to better understand the relationship between canopy phenology and the seasonality of canopy photosynthesis. In this paper we analyze the abilities and limitations of canopy color metrics measured by digital repeat photography …
Journal: Ecological Applications, Volume 25 (1): 99-115 (2015), ISBN . DOI: http://doi.org/10.1890/14-0005.1 Sites: US-ARM, US-Bar, US-Ha1, US-Ho1, US-MMS, US-MOz, US-NR1, US-UMB, US-UMd, US-Var, US-Wrc
McFarlane, K. J., Torn, M. S., Hanson, P. J., Porras, R. C., Swanston, C. W., Callaham, M. A., Guilderson, T. P.
Forest soils represent a significant pool for carbon sequestration and storage, but the factors controlling soil carbon cycling are not well constrained. We compared soil carbon dynamics at five broadleaf forests in the Eastern US that vary in climate, soil type, and soil ecology: two sites at the University of Michigan Biological …
Journal: Biogeochemistry, Volume 112 (1-3): 457-476 (2013), ISBN . DOI: 10.1007/s10533-012-9740-1 Sites: US-Bar, US-Ha1, US-MOz, US-UMB
Keenan, T. F., Hollinger, D. Y., Bohrer, G., Dragoni, D., Munger, J. W., Schmid, H. P., Richardson, A. D.
Journal: Nature, Volume 499 (7458): 324-327 (2013), ISBN . DOI: 10.1038/nature12291 Sites: CA-Man, US-Bar, US-Blo, US-Ha1, US-Ha2, US-Ho1, US-MMS, US-UMB, US-WCr
Richardson, A. D., Jenkins, J. P., Braswell, B. H., Hollinger, D. Y., Ollinger, S. V., Smith, M.
Understanding relationships between canopy structure and the seasonal dynamics of photosynthetic uptake of CO2 by forest canopies requires improved knowledge of canopy phenology at eddy covariance flux tower sites. We investigated whether digital …
Journal: Oecologia, Volume 152 (2): 323-334 (2007), ISBN . DOI: 10.1007/s00442-006-0657-z Sites: US-Bar
Jenkins, J., Richardson, A., Braswell, B., Ollinger, S., Hollinger, D., Smith, M.
The concept of light-use efficiency (LUE) is the underlying basis for estimating carbon exchange in many ecosystem models, especially those models that utilize remote sensing to constrain estimates of canopy photosynthesis. An understanding of the factors that control the efficiency with which forest canopies harvest available …
Journal: Agricultural And Forest Meteorology, Volume 143 (1-2): 64-79 (2007), ISBN . DOI: 10.1016/j.agrformet.2006.11.008 Sites: US-Bar
Ollinger, S. V., Smith, M.
Understanding spatial patterns of net primary production (NPP) is central to the study of terrestrial ecosystems, but efforts are frequently hampered by a lack of spatial information regarding factors such as nitrogen availability and site history. Here, we examined the degree to which canopy nitrogen can serve as …
Journal: Ecosystems, Volume 8 (7): 760-778 (2005), ISBN . DOI: 10.1007/s10021-005-0079-5 Sites: US-Bar
Smith, M., Ollinger, S. V., Martin, M. E., Aber, J. D., Hallett, R. A., Goodale, C. L.
Journal: Ecological Applications, Volume 12 (5): 1286-1302 (2002), ISBN . DOI: 10.2307/3099972 Sites: US-Bar