Vegetatio

, Volume 104, Issue 1, pp 421–431 | Cite as

Effects of long-term elevated atmospheric carbon dioxide onLolium perenne andTrifolium repens, using a simple photosynthesis model

  • I. Nijs
  • I. Impens
Case Studies

Abstract

Changes in gross canopy photosynthetic rate (PGc), produced by long-term exposure to an elevated atmospheric CO2 level (626±50 µmol mol-1), were modelled forLolium perenne L. cv. Vigor andTrifolium repens L. cv. Blanca, using a simple photosynthesis model, based on biochemical and physiological information (leaf gross CO2 uptake in saturating light, Pmax, and leaf quantum efficiency, α) and structural vegetation parameters (leaf area index, LAI, canopy extinction coefficient, k, leaf transmission, M). Correction of PGc for leaf respiration allowed comparison with previously measured canopy net CO2 exchange rates, with the average divergence from model prediction amounting to about 6%. Sensitivity analysis showed that for a three-week old canopy, the PGc increase in high CO2 could be attributed largely to changes in Pmax and α, while differences in canopy architecture were no longer important for the PGc-stimulation (which they were in the early growth stages). As a consequence of this increasing LAI with canopy age, the gain of daytime CO2 uptake is progressively eroded by the increasing burden of canopy respiration in high-CO2 grownLolium perenne. Modelling canopy photosynthesis in different regrowth stages after cutting (one week, two weeks,...), revealed that the difference in a 24-h CO2 balance between the ambient and the high CO2 treatment is reduced with regrowth time and completely disappears after 6 weeks.

Keywords

Canopy photosynthesis Canopy respiration Sensitivity analysis Simulation CO2 enrichment Perennial ryegrass White clover 

Abbreviations

C350

ambient CO2 treatment

C625

high CO2 treatment

k

canopy extinction coefficient

LAI

leaf area index

LAImax

fitted LAI-maximum

M

leaf transmission

NCER

net CO2 exchange rate

PGc

gross canopy photosynthetic rate

Q

photosynthetic photon flux density

Q0

photosynthetic photon flux density at the top of the canopy

RDc

canopy dark respiration rate

RDl

leaf dark respiration rate

t

regrowth time after cutting

T

air temperature

α

leaf quantum efficiency

αLAI

rate of initial LAI-increase with time

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Acock, B., Charles-Edwards, D. A., Fitter, D. J., Hand, D. W., Ludwig, L. J., Warren Wilson, J. & Withers, A. C. 1978. The contribution of leaves from different levels within a tomato crop to canopy photosynthesis: an experimental examination of two canopy models. J. Exp. Bot. 29: 815–827.Google Scholar
  2. Bodeux, A. 1981. De temperatuur van de lucht in België (in Dutch). Edition of the Royal Meteorological Institute, Brussels.Google Scholar
  3. Ceulemans, R., Kockelbergh, F. & Impens, I. 1986. A fast, low cost and low power requiring device for improving closed loop CO2 measuring system. J. Exp. Bot. 37: 1234–1244.Google Scholar
  4. Dogniaux, R. & Doyen, P. 1969. Etude statistique des relations entre les composantes du räyonnement solaire global à partir d'observations radiométriques (in French). Edition of the Royal Meterological Institute, Brussels.Google Scholar
  5. Ehleringer, J. & Björkman, O. 1977. Quantum yields for CO2 uptake in C3 and C4 plants. Dependence on temperature, CO2, and O2 concentration. Plant. Physiol. 59: 86–90.Google Scholar
  6. Monsi, M. & Saeki, T. 1953. Über den Lichtfaktor an der Pflanzengeselschaften und seine Bedeutung für die Stoffproduktion. Jap. J. Bot. 14: 22–52.Google Scholar
  7. Nijs, I., Impens, I. & Behaeghe, T. 1989a. Leaf and canopy responses ofLolium perenne to long-term elevated atmospheric carbon-dioxide concentration. Planta 177: 312–320.Google Scholar
  8. Nijs, I., Impens, I. & Behaeghe, T. 1989b. Effects of different CO2 environments on the photosynthesis-yield relationship and the carbon and water balance of a white clover (Trifolium repens L. cv. Blanca) sward. J. Exp. Bot. 40: 353–359.Google Scholar
  9. Robson, M. J. 1973. The growth and development of simulated swards of perennial ryegrass. I. Leaf growth and dry weight change as related to the ceiling yield of a seedling sward. Ann. Bot. 37: 487–518.Google Scholar
  10. Ross, J. 1970. Mathematical models of photosynthesis in a plant stand. In. Prediction and Measurement of Photosynthetic Productivity, pp. 29–45. Proc IBP/PP Technical Meeting, Trebon, 14–21 September 1989. Centre for Agricultural Publishing and Documentation, Wageningen.Google Scholar
  11. Strain, B. R. & Billings, W. D. 1974. Modelling the photosynthesis of plant stands. In: Strain, B. R. & Billings, W. D. (eds), Handbook of Vegetation Science, Vegetation and Environment (Part IV), pp. 125–147. Dr W. Junk Publishers, The Hague.Google Scholar

Copyright information

© Kluwer Academic Publishers 1993

Authors and Affiliations

  • I. Nijs
    • 1
  • I. Impens
    • 1
  1. 1.Department of BiologyUniversity of AntwerpWilrijkBelgium

Personalised recommendations