56
Steven W. Running, Peter E. Thornton, Ramakrishna Nemani, and Joseph M. Glassy
Hudson, R.J.M.; Gherini, S.A.; Goldstein, R.A. Modeling the global carbon cycle: Nitrogen fertilization of
the terrestrial biosphere and the "missing" CO2 sink.
Global Biogeochem. Cycl. 8(3):307-333; 1994.
Hunt, E.R., Jr. Relationship between woody biomass and
PAR conversion efficiency for estimating net primary
production from NDVI. Internat. J. Remote Sens.
15:1725-1730; 1994.
Hunt, E.R., Jr., Piper, S.C.; Nemani, R.R.; Keeling, C.D.;
Otto, R.D.; Running, s.w. Global net carbon exchange and intra-annual atmospheric CO2 concentrations predicted by an ecosystem process model and
three-dimensional atmospheric transport model.
Global Biogeochem. Cycl. 10:431-456; 1996.
Justice, C.O.; Running, S.w.; et al. The Moderate Resolution Imaging Spectroradiometer (MODIS): Land
remote sensing for global change research. IEEE
Trans. Geosci. Remote Sens. 36(4):1228-1249; 1998.
Keeling, C.D.; Chin, IF.S.; Whorf, T.P. Increased activity of northern vegetation inferred from atmospheric
CO2 measurements. Nature 382:146-149; 1996.
Kicklighter, D.W.; Bondeau, A.; Schloss, A.L.; Kaduk,
l; McGuire, A.D.; and participants of the Potsdam
NPP Model Intercomparison. Comparing global models of terrestrial net primary productivity (NPP):
Global pattern and differentiation by major biomes.
Global Change BioI. 5:16-24; 1999.
Kimball, J.; Running, S.w.; Nemani, R.R. An improved
method for estimating surface humidity from daily
minimum temperature. Agric. For. Meteorol. 85:8798; 1997a.
Kimball, J.S.; Thornton, P.E.; White, M.A.; Running,
S.W. Simulating forest productivity and surfaceatmosphere carbon exchange in the BOREAS study
region. Tree Physiol. 17:589-599; 1997b.
Kimball, J.S.; White, M.A.; Running, S.w. BIOMEBGC simulations of stand hydrologic processes for
BOREAS. J. Geophys. Res. 102(D24):29043-29051:
1997c.
Landsberg, J.1.; Prince, S.D.; Jarvis, P.G.; McMurtrie,
R.E.; Luxmoore, R.; Medlyn, B.E. Energy conversion
and use in forests: The analysis of forest production
in terms of radiation utilization efficiency. In: Gholz,
H.L.; Nakane, K., eds. The Use of Remote Sensing in
the Modeling of Forest Productivity at Scales from the
Stand to the Globe. London: Kluwer; 1996.
Larcher, W. Physiological Plant Ecology. SpringerVerlag, Berlin; 1995.
Maier, c.A.; Zamoch, S.l; Dougherty, P.M. Effects of
temperature and tissue nitrogen on dormant season
stem and branch maintenance respiration in a young
loblolly pine (Pinus taeda) plantation. Tree Physiol.
18:11-20; 1998.
Melillo, J.M.; McGuire, A.D.; Kicklighter, D.W.; Moore,
B., III; Vorosmarty, C.1.; Schloss, A.L. Global climate
change and terrestrial net primary production. Nature
363:234-240; 1993.
Monteith, J.L. Solar radiation and productivity in tropical
ecosystems. 1 Appl. Ecol. 9:747-766; 1972.
Monteith, lL. Climate and the efficiency of crop production in Britain. Philosoph. Trans. R Soc. Lond.
281:277-294; 1977.
Myneni, R.B.; Keeling, C.D.; Tucker, C.J.; Asrar, G.; Nemani, R.R. Increased plant growth in the northern high
latitudes between 1981-1991. Nature 386:698-702;
1997a.
Myneni, R.B.; Nemani, R.R.; Running, S.w. Estimation
of global LAI and FPAR from radiative transfer models. IEEE Trans. Geosci. Remote Sens. 35: 1380-1393;
1997b.
Nemani, R.R.; Running, S.w. Testing a theoretical
climate-soil-leaf area hydrologic equilibrium of forests using satellite data and ecosystem simulation.
Agric. For. Meteorol. 44:245-260; 1989.
Nemani, R.R.; Running, S.w. Implementation of a hierarchical global vegetation classification in ecosystem
function models. J. Vegetat. Sci. 7:337-346; 1996.
Nemani, R.R.; Running, S.W. Land cover characterization using multi-temporal red, NIR and thermal-IR
AVHRR data. Ecol. Applic. 7:79-90; 1997.
Nemery, B.; Francois, L.; Gerard, J.C.; Bondeau, A.; Heimann, H.; and participants of the Potsdam NPP Model
Intercomparison. Comparing global models of terrestrial net primary productivity (NPP): Analysis of the
seasonal atmospheric CO2 signal. Global Change BioI.
5:65-76; 1999.
Piper, S.c.; Stewart, E.F. A gridded global data set of
daily temperature and precipitation for terrestrial biospheric modeling. Global Biogeochem. Cycl. 10:757782; 1996.
Prince, S.D. A model of regional primary production for
use with coarse resolution satellite data. Internat. J.
Remote Sens. 12:1313-1330; 1991.
Prince, S.D.; Goward, S.N. Global primary production:
A remote sensing approach. J. Biogeogr. 22:815-835;
1995.
Randerson, J.T.; Thompson, M.V.; Conway, T.l; Fung,
I.Y.; Field, C.B. The contribution of terrestrial sources
and sinks to trends in the seasonal cycle of atmospheric carbon dioxide. Global Biogeochem. Cycl.
11:535-560; 1997.
Ruimy, A.; Saugier, B. Methodology for the estimation
of terrestrial net primary production from remotely
sensed data. 1 Geophys. Res. 99:5263-5283; 1994.
Running, S.W.; Baldocchi, D.D.; Turner, D.P.; Gower,
S.T.; Bakwin, P.S.; Hibbard, K.A. A global terrestrial
monitoring network integrating tower fluxes, flask
sampling, ecosystem modeling and EOS satellite data.
Remote Sens. Environ. 70(1):108-127; 1999.
Steven W. Running, Peter E. Thornton, Ramakrishna Nemani, and Joseph M. Glassy
Hudson, R.J.M.; Gherini, S.A.; Goldstein, R.A. Modeling the global carbon cycle: Nitrogen fertilization of
the terrestrial biosphere and the "missing" CO2 sink.
Global Biogeochem. Cycl. 8(3):307-333; 1994.
Hunt, E.R., Jr. Relationship between woody biomass and
PAR conversion efficiency for estimating net primary
production from NDVI. Internat. J. Remote Sens.
15:1725-1730; 1994.
Hunt, E.R., Jr., Piper, S.C.; Nemani, R.R.; Keeling, C.D.;
Otto, R.D.; Running, s.w. Global net carbon exchange and intra-annual atmospheric CO2 concentrations predicted by an ecosystem process model and
three-dimensional atmospheric transport model.
Global Biogeochem. Cycl. 10:431-456; 1996.
Justice, C.O.; Running, S.w.; et al. The Moderate Resolution Imaging Spectroradiometer (MODIS): Land
remote sensing for global change research. IEEE
Trans. Geosci. Remote Sens. 36(4):1228-1249; 1998.
Keeling, C.D.; Chin, IF.S.; Whorf, T.P. Increased activity of northern vegetation inferred from atmospheric
CO2 measurements. Nature 382:146-149; 1996.
Kicklighter, D.W.; Bondeau, A.; Schloss, A.L.; Kaduk,
l; McGuire, A.D.; and participants of the Potsdam
NPP Model Intercomparison. Comparing global models of terrestrial net primary productivity (NPP):
Global pattern and differentiation by major biomes.
Global Change BioI. 5:16-24; 1999.
Kimball, J.; Running, S.w.; Nemani, R.R. An improved
method for estimating surface humidity from daily
minimum temperature. Agric. For. Meteorol. 85:8798; 1997a.
Kimball, J.S.; Thornton, P.E.; White, M.A.; Running,
S.W. Simulating forest productivity and surfaceatmosphere carbon exchange in the BOREAS study
region. Tree Physiol. 17:589-599; 1997b.
Kimball, J.S.; White, M.A.; Running, S.w. BIOMEBGC simulations of stand hydrologic processes for
BOREAS. J. Geophys. Res. 102(D24):29043-29051:
1997c.
Landsberg, J.1.; Prince, S.D.; Jarvis, P.G.; McMurtrie,
R.E.; Luxmoore, R.; Medlyn, B.E. Energy conversion
and use in forests: The analysis of forest production
in terms of radiation utilization efficiency. In: Gholz,
H.L.; Nakane, K., eds. The Use of Remote Sensing in
the Modeling of Forest Productivity at Scales from the
Stand to the Globe. London: Kluwer; 1996.
Larcher, W. Physiological Plant Ecology. SpringerVerlag, Berlin; 1995.
Maier, c.A.; Zamoch, S.l; Dougherty, P.M. Effects of
temperature and tissue nitrogen on dormant season
stem and branch maintenance respiration in a young
loblolly pine (Pinus taeda) plantation. Tree Physiol.
18:11-20; 1998.
Melillo, J.M.; McGuire, A.D.; Kicklighter, D.W.; Moore,
B., III; Vorosmarty, C.1.; Schloss, A.L. Global climate
change and terrestrial net primary production. Nature
363:234-240; 1993.
Monteith, J.L. Solar radiation and productivity in tropical
ecosystems. 1 Appl. Ecol. 9:747-766; 1972.
Monteith, lL. Climate and the efficiency of crop production in Britain. Philosoph. Trans. R Soc. Lond.
281:277-294; 1977.
Myneni, R.B.; Keeling, C.D.; Tucker, C.J.; Asrar, G.; Nemani, R.R. Increased plant growth in the northern high
latitudes between 1981-1991. Nature 386:698-702;
1997a.
Myneni, R.B.; Nemani, R.R.; Running, S.w. Estimation
of global LAI and FPAR from radiative transfer models. IEEE Trans. Geosci. Remote Sens. 35: 1380-1393;
1997b.
Nemani, R.R.; Running, S.w. Testing a theoretical
climate-soil-leaf area hydrologic equilibrium of forests using satellite data and ecosystem simulation.
Agric. For. Meteorol. 44:245-260; 1989.
Nemani, R.R.; Running, S.w. Implementation of a hierarchical global vegetation classification in ecosystem
function models. J. Vegetat. Sci. 7:337-346; 1996.
Nemani, R.R.; Running, S.W. Land cover characterization using multi-temporal red, NIR and thermal-IR
AVHRR data. Ecol. Applic. 7:79-90; 1997.
Nemery, B.; Francois, L.; Gerard, J.C.; Bondeau, A.; Heimann, H.; and participants of the Potsdam NPP Model
Intercomparison. Comparing global models of terrestrial net primary productivity (NPP): Analysis of the
seasonal atmospheric CO2 signal. Global Change BioI.
5:65-76; 1999.
Piper, S.c.; Stewart, E.F. A gridded global data set of
daily temperature and precipitation for terrestrial biospheric modeling. Global Biogeochem. Cycl. 10:757782; 1996.
Prince, S.D. A model of regional primary production for
use with coarse resolution satellite data. Internat. J.
Remote Sens. 12:1313-1330; 1991.
Prince, S.D.; Goward, S.N. Global primary production:
A remote sensing approach. J. Biogeogr. 22:815-835;
1995.
Randerson, J.T.; Thompson, M.V.; Conway, T.l; Fung,
I.Y.; Field, C.B. The contribution of terrestrial sources
and sinks to trends in the seasonal cycle of atmospheric carbon dioxide. Global Biogeochem. Cycl.
11:535-560; 1997.
Ruimy, A.; Saugier, B. Methodology for the estimation
of terrestrial net primary production from remotely
sensed data. 1 Geophys. Res. 99:5263-5283; 1994.
Running, S.W.; Baldocchi, D.D.; Turner, D.P.; Gower,
S.T.; Bakwin, P.S.; Hibbard, K.A. A global terrestrial
monitoring network integrating tower fluxes, flask
sampling, ecosystem modeling and EOS satellite data.
Remote Sens. Environ. 70(1):108-127; 1999.