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Duke Forest Loblolly Pine

869-Duke Forest Loblolly Pine

Deriving a light use efficiency model from eddy covariance flux data for predicting daily gross primary production across biomes

Yuan, W., Liu S., Zhou G., Zhou G., Tieszen L. L., Baldocchi D., et al. (2007).  Deriving a light use efficiency model from eddy covariance flux data for predicting daily gross primary production across biomes. Agricultural and Forest Meteorology. 143(3-4), 189 - 207.

An empirical model simulating diurnal and seasonal CO<sub>2</sub> flux for diverse vegetation types and climate conditions

Saito, M., Maksyutov S., Hirata R., & Richardson A. D. (2009).  An empirical model simulating diurnal and seasonal CO2 flux for diverse vegetation types and climate conditions. Biogeosciences. 6(4), 585 - 599.

Toward constraining regional-scale fluxes of CO <sub>2</sub> with atmospheric observations over a continent: 2. Analysis of COBRA data using a receptor-oriented framework

Gerbig, C. (2003).  Toward constraining regional-scale fluxes of CO 2 with atmospheric observations over a continent: 2. Analysis of COBRA data using a receptor-oriented framework. Journal of Geophysical Research. 108(D24), 

An operational remote sensing algorithm of land surface evaporation

Nishida, K. (2003).  An operational remote sensing algorithm of land surface evaporation. Journal of Geophysical Research. 108(D9), 

Development of a global evapotranspiration algorithm based on MODIS and global meteorology data

Mu, Q., Heinsch F. A., Zhao M., & Running S. W. (2007).  Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sensing of Environment. 111(4), 519 - 536.

Gap-filling missing data in eddy covariance measurements using multiple imputation (MI) for annual estimations

Hui, D., Wan S., Su B., Katul G., Monson R., & Luo Y. (2004).  Gap-filling missing data in eddy covariance measurements using multiple imputation (MI) for annual estimations. Agricultural and Forest Meteorology. 121(1-2), 93 - 111.

Albedo estimates for land surface models and support for a new paradigm based on foliage nitrogen concentration

HOLLINGER, D. Y., OLLINGER S. V., Richardson A. D., MEYERS T. P., DAIL D. B., MARTIN M. E., et al. (2010).  Albedo estimates for land surface models and support for a new paradigm based on foliage nitrogen concentration. Global Change Biology. 16(2), 696 - 710.

Duke Forest Loblolly Pine Site Gallery

Pictures from the Duke Forest Loblolly Pine FLUXNET tower site.

Duke Forest Loblolly Pine Site

Identification of a general light use efficiency model for gross primary production

Horn, J. E., & Schulz K. (2011).  Identification of a general light use efficiency model for gross primary production. Biogeosciences. 8(4), 999 - 1021.

Linking flux network measurements to continental scale simulations: ecosystem carbon dioxide exchange capacity under non-water-stressed conditions

OWEN, K. A. T. H. E. R. I. N. E. E., Tenhunen J., Reichstein M., WANG Q. U. A. N., Falge E., GEYER R. A. L. F., et al. (2007).  Linking flux network measurements to continental scale simulations: ecosystem carbon dioxide exchange capacity under non-water-stressed conditions. Global Change Biology. 13(4), 734 - 760.