Interannual variation of carbon exchange fluxes in terrestrial ecosystems

A global prognostic physiologically based model of the carbon budget in terrestrial ecosystems, the Frankfurt Biosphere Model (FBM), is applied to simulate the interannual variation of carbon exchange fluxes between the atmosphere and the terrestrial biosphere. The data on climatic forcing are based on Cramer and Leemans climate maps; the interannual variation is introduced according to records of temperature anomalies and precipitation anomalies for the period 1980 to 1993. The calculated net exchange flux between the atmosphere and the terrestrial biosphere is compared to the biospheric signal deduced from 13 C measurements. Some intermediate results are presented as well: the contributions of the most important global ecosystems to the biospheric signal, the contributions of different latitudinal belts to the biospheric signal, and the responses of net primary production (NPP) and heterotrophic respiration (R h ). From the simulation results it can be inferred that the complex temperature and precipitation responses of NPP and R h in different latitudes and different ecosystem types add up to a global CO 2 signal contributing substantially to the atmospheric CO 2 anomaly on the interannual timescale. The temperature response of NPP was found to be the most important factor determining this signal.

[1]  John R. Christy,et al.  Variability in daily, zonal mean lower-stratospheric temperatures , 1994 .

[2]  Biomass Burning: Combustion Emissions, Satellite Imagery, and Biogenic Emissions , 1991 .

[3]  Inez Y. Fung,et al.  Can climate variability contribute to the “missing” CO2 sink? , 1993 .

[4]  P. Polglase,et al.  Carbon balance in the tundra, boreal forest and humid tropical forest during climate change: scaling up from leaf physiology and soil carbon dynamics , 1995 .

[5]  M. Wahlen,et al.  Interannual extremes in the rate of rise of atmospheric carbon dioxide since 1980 , 1995, Nature.

[6]  Henry F. Diaz,et al.  The Quality Control of Long-Term Climatological Data Using Objective Data Analysis , 1995 .

[7]  P. Ciais,et al.  A Large Northern Hemisphere Terrestrial CO2 Sink Indicated by the 13C/12C Ratio of Atmospheric CO2 , 1995, Science.

[8]  G. Kohlmaier,et al.  Structure of a global and seasonal carbon exchange model for the terrestrial biosphere : the Frankfurt Biosphere Model (FBM) , 1993 .

[9]  P. P. Tans,et al.  Changes in oceanic and terrestrial carbon uptake since 1982 , 1995, Nature.

[10]  J. William Munger,et al.  Exchange of Carbon Dioxide by a Deciduous Forest: Response to Interannual Climate Variability , 1996, Science.

[11]  John Moncrieff,et al.  Carbon Dioxide Uptake by an Undisturbed Tropical Rain Forest in Southwest Amazonia, 1992 to 1993 , 1995, Science.

[12]  C. W. Thornthwaite An approach toward a rational classification of climate. , 1948 .

[13]  The next dimension: extending the time axis of global NPPestimates , 1995 .

[14]  Matthias K.B. Lüdeke,et al.  The use of satellite NDVI data for the validation of global vegetation phenology models: application to the Frankfurt Biosphere Model , 1996 .

[15]  Gérard Dedieu,et al.  Monitoring seasonal and interannual variations of gross primary productivity, net primary productivity and net ecosystem productivity using a diagnostic model and remotely‐sensed data , 1995 .

[16]  Philippe Ciais,et al.  Partitioning of ocean and land uptake of CO2 as inferred by δ13C measurements from the NOAA Climate Monitoring and Diagnostics Laboratory Global Air Sampling Network , 1995 .

[17]  M. Heimann,et al.  The climate sensitivity of the Osnabrück Biosphere model on the ENSO time scale , 1994 .

[18]  Inez Y. Fung,et al.  Application of Advanced Very High Resolution Radiometer vegetation index to study atmosphere‐biosphere exchange of CO2 , 1987 .

[19]  G. Kohlmaier,et al.  The Frankfurt Biosphere Model: a global process-oriented model of seasonal and long-term CO2 exchange between terrestrial ecosystems and the atmosphere. I. Model description and illustrative results for cold deciduous and boreal forests , 1994 .