Rebmann C, Rodrigues A, Rotenberg E, Sanz MJ, Sedlak P, Seufert G, Siebicke L, Soussana
JF, Valentini R, Vesala T, Verbeeck H, Yakir D (2008) Quality control of CarboEurope flux
data—part 1: coupling footprint analyses with flux data quality assessment to evaluate sites in
forest ecosystems. Biogeosciences 5:433–450
Goodale CL, Apps MJ, Birdsey RA, Field CB, Heath LS, Houghton RA, Jenkins JC, Kohlmaier
GH, Kurz WA, Liu S, Nabuurs G-J, Nilsson S, Shvidenko AZ (2002) Forest carbon sinks in
the Northern Hemisphere. Ecol Appl 12:891–899
Goward SN, Masek JG, Cohen W, Moisen G, Collatz GJ, Healey S, Houghton R, Huang C,
Kennedy R, Law B, Turner D, Powell S, Wulder M (2008) Forest disturbance and North
American carbon flux. EOS Trans Am Geophys Union 89:105–106
Hargrove WW, Hoffman FM, Law BE (2003) New analysis reveals representativeness of the
AmeriFlux network. EOS Trans 84:529–544
Hollinger DY, Richardson AD (2005) Uncertainty in eddy covariance measurements and its
application to physiological models. Tree Physiol 25:873–885
Houghton RA, Hackler JL, Lawrence KT (1999) The U.S. carbon budget: contributions from
land-use change. Science 285:574–578
Huang C, Goward SN, Masek JG, Thomas N, Zhu Z, Vogelmann JE (2010) An automated
approach for reconstructing recent forest disturbance history using dense Landsat time series
stacks. Remote Sens Environ 114:183–198
Huete AR, Liu HQ, Batchily K, van Leeuwen OW (1997) A comparison of vegetation indices
global set of TM images for EOS-MODIS. Remote Sens Environ 59:440–451
Huete A, Didan K, Miura T, Rodriguez EP, Gao X, Ferreira LG (2002) Overview of the
radiometric and biophysical performance of the MODIS vegetation indices. Remote Sens
Environ 83:195–213
Hunt ER, Rock BN (1989) Detection of changes in leaf water content using near and middleinfrared reflectances. Remote Sens Environ 30:43–54
Huntzinger DN, Post WM, Wei Y, Michalak AM, West TO, Jacobson AR, Baker IT, Chen JM,
Davis KJ, Hayes DJ, Hoffman FM, Jain AK, Liu S, McGuire AD, Neilson RP, Potter C,
Poulter B, Price D, Raczka BM, Tian HQ, Thornton P, Tomelleri E, Viovy N, Xiao J, Yuan
W, Zeng N, Zhao M, Cook R (2012) North American carbon program (NACP) regional
interim synthesis: terrestrial biosphere model intercomparison. Ecol Model 232:144–157.
doi:10.1016/j.ecolmodel.2012.02.004
Jackson TJ, Chen D, Cosh M, Li F, Anderson M, Walthall C, Doriaswamy P, Hunt ER (2004)
Vegetation water content mapping using Landsat data derived normalized difference water
index fro corn and soybeans. Remote Sens Environ 92:475–482
Jung M, Reichstein M, Bondeau A (2009) Towards global empirical upscaling of FLUXNET
eddy covariance observations: validation of a model tree ensemble approach using a biosphere
model. Biogeosciences 6:2001–2013
Liu S, Bond-Lamberty B, Hicke JA, Vargas R, Zhao S, Chen J, Edburg SL, Hu Y, Liu J, McGuire
AD, Xiao J, Keane R, Yuan W, Tang J, Luo Y, Potter C, Oeding J (2011) Simulating the
impacts of disturbances on forest carbon cycling in North America: processes, data, models,
and challenges. J Geophys Res Biogeosci 116:G00K08. doi:10.1029/2010JG001585
Loescher HW, Law BE, Mahrt L, Hollinger DY, Campbell J, Wofsy SC (2006) Uncertainties in,
and interpretation of, carbon flux estimates using the eddy covariance technique. J Geophys
Res 111: D21S90. doi:10.1029/2005JD006932
Myneni RB, Dong J, Tucker CJ, Kaufmann RK, Kauppi PE, Liski J, Zhou L, Alexeyev V,
Hughes MK (2001) A large carbon sink in the woody biomass of northern forests. PNAS
98:14784–14789
Myneni RB, Hoffman S, Knyazikhin Y, Privette JL, Glassy J, Tian Y, Wang Y, Song X, Zhang Y,
Smith GR, Lotsch A, Friedl M, Morisette JT, Votava P, Nemani RR, Running SW (2002)
Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS
data. Remote Sens Environ 83:214–231
Pacala SW, Hurtt GC, Baker D, Peylin P, Houghton RA, Birdsey RA, Heath L, Sundquist ET,
Stallard RF, Ciais P, Moorcroft P, Caspersen JP, Shevliakova E, Moore B, Kohlmaier G,
166
J. Xiao
JF, Valentini R, Vesala T, Verbeeck H, Yakir D (2008) Quality control of CarboEurope flux
data—part 1: coupling footprint analyses with flux data quality assessment to evaluate sites in
forest ecosystems. Biogeosciences 5:433–450
Goodale CL, Apps MJ, Birdsey RA, Field CB, Heath LS, Houghton RA, Jenkins JC, Kohlmaier
GH, Kurz WA, Liu S, Nabuurs G-J, Nilsson S, Shvidenko AZ (2002) Forest carbon sinks in
the Northern Hemisphere. Ecol Appl 12:891–899
Goward SN, Masek JG, Cohen W, Moisen G, Collatz GJ, Healey S, Houghton R, Huang C,
Kennedy R, Law B, Turner D, Powell S, Wulder M (2008) Forest disturbance and North
American carbon flux. EOS Trans Am Geophys Union 89:105–106
Hargrove WW, Hoffman FM, Law BE (2003) New analysis reveals representativeness of the
AmeriFlux network. EOS Trans 84:529–544
Hollinger DY, Richardson AD (2005) Uncertainty in eddy covariance measurements and its
application to physiological models. Tree Physiol 25:873–885
Houghton RA, Hackler JL, Lawrence KT (1999) The U.S. carbon budget: contributions from
land-use change. Science 285:574–578
Huang C, Goward SN, Masek JG, Thomas N, Zhu Z, Vogelmann JE (2010) An automated
approach for reconstructing recent forest disturbance history using dense Landsat time series
stacks. Remote Sens Environ 114:183–198
Huete AR, Liu HQ, Batchily K, van Leeuwen OW (1997) A comparison of vegetation indices
global set of TM images for EOS-MODIS. Remote Sens Environ 59:440–451
Huete A, Didan K, Miura T, Rodriguez EP, Gao X, Ferreira LG (2002) Overview of the
radiometric and biophysical performance of the MODIS vegetation indices. Remote Sens
Environ 83:195–213
Hunt ER, Rock BN (1989) Detection of changes in leaf water content using near and middleinfrared reflectances. Remote Sens Environ 30:43–54
Huntzinger DN, Post WM, Wei Y, Michalak AM, West TO, Jacobson AR, Baker IT, Chen JM,
Davis KJ, Hayes DJ, Hoffman FM, Jain AK, Liu S, McGuire AD, Neilson RP, Potter C,
Poulter B, Price D, Raczka BM, Tian HQ, Thornton P, Tomelleri E, Viovy N, Xiao J, Yuan
W, Zeng N, Zhao M, Cook R (2012) North American carbon program (NACP) regional
interim synthesis: terrestrial biosphere model intercomparison. Ecol Model 232:144–157.
doi:10.1016/j.ecolmodel.2012.02.004
Jackson TJ, Chen D, Cosh M, Li F, Anderson M, Walthall C, Doriaswamy P, Hunt ER (2004)
Vegetation water content mapping using Landsat data derived normalized difference water
index fro corn and soybeans. Remote Sens Environ 92:475–482
Jung M, Reichstein M, Bondeau A (2009) Towards global empirical upscaling of FLUXNET
eddy covariance observations: validation of a model tree ensemble approach using a biosphere
model. Biogeosciences 6:2001–2013
Liu S, Bond-Lamberty B, Hicke JA, Vargas R, Zhao S, Chen J, Edburg SL, Hu Y, Liu J, McGuire
AD, Xiao J, Keane R, Yuan W, Tang J, Luo Y, Potter C, Oeding J (2011) Simulating the
impacts of disturbances on forest carbon cycling in North America: processes, data, models,
and challenges. J Geophys Res Biogeosci 116:G00K08. doi:10.1029/2010JG001585
Loescher HW, Law BE, Mahrt L, Hollinger DY, Campbell J, Wofsy SC (2006) Uncertainties in,
and interpretation of, carbon flux estimates using the eddy covariance technique. J Geophys
Res 111: D21S90. doi:10.1029/2005JD006932
Myneni RB, Dong J, Tucker CJ, Kaufmann RK, Kauppi PE, Liski J, Zhou L, Alexeyev V,
Hughes MK (2001) A large carbon sink in the woody biomass of northern forests. PNAS
98:14784–14789
Myneni RB, Hoffman S, Knyazikhin Y, Privette JL, Glassy J, Tian Y, Wang Y, Song X, Zhang Y,
Smith GR, Lotsch A, Friedl M, Morisette JT, Votava P, Nemani RR, Running SW (2002)
Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS
data. Remote Sens Environ 83:214–231
Pacala SW, Hurtt GC, Baker D, Peylin P, Houghton RA, Birdsey RA, Heath L, Sundquist ET,
Stallard RF, Ciais P, Moorcroft P, Caspersen JP, Shevliakova E, Moore B, Kohlmaier G,
166
J. Xiao