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ecosystem process model for other biomes,
BIOME-BGC, and an application for global-scale
models. In: Ehleringer, J.R.; Field, C., eds. Scaling
Physiological Processes: Leaf to Globe. Orlando, FL:
Academic; 1993.
Running, S.W.; Justice, C.; Salomonson, V.; Hall, D.;
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Running, S.W.; Loveland, T.R; Pierce, L.L.; Nemani,
R.R.; Hunt Jr., E.R A remote sensing based vegetation
classification logic for global land cover analysis. Remote Sens. Environ. 51:39-48; 1995.
Ryan, M.G.; Binkley, D.; Fownes, J.H. Age-related decline in forest productivity: Pattem and Process. Adv.
Bco1. Res. 27:213-261; 1997.
Schloss, A.L.; Kicklighter, D.W.; Kaduk, J.; Wittenberg,
U.; and the participants of the Potsdam NPP Model
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NPP to climate and the Normalized Difference Vegetation Index (NDVI). Global Change BioI. 5:25-34;
1999.
Schulze, E.D.; Kelliher, EM.; Komer, c.; Loyd, J.;
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conductance, ecosystem surface conductance, carbon
assimilation rate and plant nitrogen nutrition. Annu.
Rev. Ecol. Syst. 25:629-660; 1994.
Scurlock, J.M.O.; Cramer, W.; Olson, R.I.; Parton, W.J.;
Prince, S.D. Terrestrial NPP: Towards a consistent
data set for global model evaluation. Ecol. Applic.
9(3):913-919; 1999.
Sellers, P.I. Canopy reflectance, photosynthesis and transpiration. II. The role of biophysics in the linearity of
their interdependence. Remote Sens. Environ.
21:143-183; 1987.
Sprugel, D.G.; Ryan, M.G.; Brooks, J.R.; Vogt, K.A;
Martin, T.A Respiration from the organ level to stand
level. In Smith, W.K.; Hinkley, T.M., eds. Resource
Physiology of Conifers. San Diego, CA: Academic;
1995:255-299.
Tans, P.P.; Fung, I.Y.; Takahashi, T. Observational constraints on the global atmospheric CO2 budget. Science 247:1431-1438; 1990.
Thornton, P.E.; Running, S.W. An improved algorithm
for estimating incident daily solar radiation from measurements of temperature, humidity, and precipitation.
Agric. For. Meteorol. 93:211-228; 1999.
VEMAP [VegetationlEcosystem Modeling and Analysis
Project] Members. Comparing biogeography and biogeochemistry models in a continental scale study of
terrestrial ecosystem responses to climate change and
CO2 doubling. Global Biogeochem. Cycl. 9:407-437;
1995.
Waring, RH.; Law, B.; et al. Scaling gross ecosystem
production at Harvard Forest with remote sensing: A
comparison of estimates from a constrained quantumuse efficiency model and eddy correlation. Plant Cell
Environ. 18:1201-1213; 1995.
Waring, R.; Running, S.w. Forest Ecosystems: Analysis
at Multiple Scales. San Diego, CA: Academic; 1998.
White, M.E.; Thornton, P.E.; Running, S.w. A continental phenology model for monitoring vegetation responses to inter-annual climatic variability. Global
Biogeochem. Cycl. 11(2):217-234; 1997.
Zobler, L.A. A World Soil File for Global Climate Modeling. Tech. Memo. 87802. U.S. National Aeronautics
and Space Administration (NASA), Greenbelt, MD;
1986.
57
Running, S.W.; Gower, S.T. FOREST-BGC, A general
model of forest ecosystem processes for regional applications. II. Dynamic carbon allocation and nitrogen
budgets. Tree Physio1. 9:147-160; 1991.
Running, S.W.; Hunt, Jr., E.R. Generalization of a forest
ecosystem process model for other biomes,
BIOME-BGC, and an application for global-scale
models. In: Ehleringer, J.R.; Field, C., eds. Scaling
Physiological Processes: Leaf to Globe. Orlando, FL:
Academic; 1993.
Running, S.W.; Justice, C.; Salomonson, V.; Hall, D.;
Barker, J.; Kaufmann, Y.; Strahler, A; Huete, A; Muller, J.P.; Vanderbilt, V.; Wan, Z.M.; Teillet, P.; Cameggie, D. Terrestrial remote sensing science and algorithms planned from EOSIMODIS. Intemat. J. Remote
Sens. 15:358-3620; 1994.
Running, S.W.; Loveland, T.R; Pierce, L.L.; Nemani,
R.R.; Hunt Jr., E.R A remote sensing based vegetation
classification logic for global land cover analysis. Remote Sens. Environ. 51:39-48; 1995.
Ryan, M.G.; Binkley, D.; Fownes, J.H. Age-related decline in forest productivity: Pattem and Process. Adv.
Bco1. Res. 27:213-261; 1997.
Schloss, A.L.; Kicklighter, D.W.; Kaduk, J.; Wittenberg,
U.; and the participants of the Potsdam NPP Model
Intercomparison. Comparing global models of terrestrial net primary productivity (NPP): Comparison of
NPP to climate and the Normalized Difference Vegetation Index (NDVI). Global Change BioI. 5:25-34;
1999.
Schulze, E.D.; Kelliher, EM.; Komer, c.; Loyd, J.;
Leuing, R. Relationships among maximum stomatal
conductance, ecosystem surface conductance, carbon
assimilation rate and plant nitrogen nutrition. Annu.
Rev. Ecol. Syst. 25:629-660; 1994.
Scurlock, J.M.O.; Cramer, W.; Olson, R.I.; Parton, W.J.;
Prince, S.D. Terrestrial NPP: Towards a consistent
data set for global model evaluation. Ecol. Applic.
9(3):913-919; 1999.
Sellers, P.I. Canopy reflectance, photosynthesis and transpiration. II. The role of biophysics in the linearity of
their interdependence. Remote Sens. Environ.
21:143-183; 1987.
Sprugel, D.G.; Ryan, M.G.; Brooks, J.R.; Vogt, K.A;
Martin, T.A Respiration from the organ level to stand
level. In Smith, W.K.; Hinkley, T.M., eds. Resource
Physiology of Conifers. San Diego, CA: Academic;
1995:255-299.
Tans, P.P.; Fung, I.Y.; Takahashi, T. Observational constraints on the global atmospheric CO2 budget. Science 247:1431-1438; 1990.
Thornton, P.E.; Running, S.W. An improved algorithm
for estimating incident daily solar radiation from measurements of temperature, humidity, and precipitation.
Agric. For. Meteorol. 93:211-228; 1999.
VEMAP [VegetationlEcosystem Modeling and Analysis
Project] Members. Comparing biogeography and biogeochemistry models in a continental scale study of
terrestrial ecosystem responses to climate change and
CO2 doubling. Global Biogeochem. Cycl. 9:407-437;
1995.
Waring, RH.; Law, B.; et al. Scaling gross ecosystem
production at Harvard Forest with remote sensing: A
comparison of estimates from a constrained quantumuse efficiency model and eddy correlation. Plant Cell
Environ. 18:1201-1213; 1995.
Waring, R.; Running, S.w. Forest Ecosystems: Analysis
at Multiple Scales. San Diego, CA: Academic; 1998.
White, M.E.; Thornton, P.E.; Running, S.w. A continental phenology model for monitoring vegetation responses to inter-annual climatic variability. Global
Biogeochem. Cycl. 11(2):217-234; 1997.
Zobler, L.A. A World Soil File for Global Climate Modeling. Tech. Memo. 87802. U.S. National Aeronautics
and Space Administration (NASA), Greenbelt, MD;
1986.