Coupling isoprene and monoterpene emissions from Amazonian tree species with physiological and environmental parameters using a neural network approach

Plant, Cell and Environment

Volumn 28, Issue 3, 2005, Pages 287-301

  Simon, E ^a   Kuhn, U ^a   Rottenberger, S ^a   Meixner, F X ^a   Kesselmeier, J ^a  

^a MAX PLANCK INSTITUTE FOR CHEMISTRY   (Germany)

Author keywords

Backpropagation; Leaf development; Light environment; Rain forest; Seasonal variability; Volatile organic compounds emission

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ATMOSPHERIC CHEMISTRY; BIOGENIC EMISSION; ENVIRONMENTAL FACTOR; ISOPRENE; LEAF; MONOTERPENE; PHYSIOLOGY; RAINFOREST; VOLATILE ORGANIC COMPOUND;

AMAZONIA; SOUTH AMERICA; WESTERN HEMISPHERE; WORLD;

EID: 14644391590     PISSN: 01407791     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1365-3040.2004.01278.x     Document Type: Article

References (52)

1. Abuelgasim A.A., Gopal S. & Strahler A.H. (1998) Forward and inverse modelling of canopy directional reflectance using a neural network. International Journal of Remote Sensing 19 (3), 453-471.
2. Andreae M.O. & Crutzen P. (1997) Atmospheric aerosols: biogeochemical sources and role in atmospheric chemistry. Science 276, 1052-1058.
3. Andreae M.O., Artaxo P., Brandao C., et al. (2002) Biogeochemical cycling of carbon, water, energy, trace gases, and aerosols in Amazonia: The LBA-EUSTACH experiments. Journal of Geophysical Research 107, (D20), 33.1-25.
4. Ball J. (1987) Calculations related to gas exchange. In Stomatal Function (eds E. Zeiger, G. Farquhar & I. Cowan), pp. 445-476. Stanford University Press, Stanford, CA, USA.
5. Berlin N., Staudt M., Hansen U., Seufert G., Ciccioli P., Foster P., Fugit J.L. & Torres L. (1997) Diurnal and seasonal course of monoterpene emissions from Quercus ilex (L.) under natural conditions - applications of light and temperature algorithms. Atmospheric Environment 31 (Suppl. 1), 135-144.
6. Bishop M. (1995) Neural Networks for Pattern Recognition. Clarendon Press, Oxford, UK.
7. Dutot A.-L., Rude & Aumont B. (2003) Neural network method to estimate the aqueous rate constants for the [OH] reactions with organic compounds. Atmospheric Environment 37, 269-276.
8. Fall R. & Wildermuth M.C. (1998) Isoprene synthase - from biochemical mechanism to emission algorithm. Journal of Geophysical Research 103, 25599-25609.
9. Fischbach R.J., Staudt M., Zimmer I., Rambal S. & Schnitzler J.P. (2002) Seasonal pattern of monoterpene synthase activities in leaves of the evergreen tree Quercus ilex. Physiologia Plantarum 114, 354-360.
10. Gardner M. & Dorling S. (1998) Artificial neural networks (the multi-layer perceptron) - a review of applications in the atmospheric sciences. Atmospheric Environment 32, 2627-2636.
11. Geron C., Guenther A., Sharkey T.D. & Arnts R.R. (2000) Temporal variability in basal isoprene emission factor. Tree Physiology 20, 799-805.
12. Guenther A. (1997) Seasonal and spatial variations in the natural volatile organic compound emissions. Ecological Applications 7, 34-45.
13. Guenther A., Hewitt C.N., Erickson D., et al. (1995) A global model of natural volatile organic compound emissions. Journal of Geophysical Research 100, 8873-8892.
14. Guenther A., Zimmerman P., Harley P.C., Monson R.K. & Fall R. (1993) Isoprene and monoterpene emission rate variability: Model evaluations and sensitiviy analyses. Journal of Geophysical Research 98, 12609-12617.
15. 3 at soil and leaf surfaces in an Amazonian rain forest. Journal of Geophysical Research 107, (D20), 27.1-15.
16. Hanson D.T. & Sharkey T.D. (2001a) Effect of growth conditions on isoprene emission and other thermotoerance-enhancing compounds. Plant, Cell and Environment 24, 929-936.
17. Hanson D.T. & Sharkey T.D. (2001b) Rate of acclimation of the capacity for isoprene emission in response to light and temperature. Plant, Cell and Environment 24, 937-946.
18. Harley P.C., Monson R.K. & Lerdau M.T. (1999) Ecological and evolutionary aspects of isoprene emission from plants. Oecologia 118, 109-123.
19. Heiden A.C., Hoffmann T., Kahl J., et al. (1999) Emission of volatile organic compounds from ozone-exposed plants. Ecological Applications 9, 1160-1167.
20. Hornick K., Stinchcombe M. & White H. (1989) Multilayer feed-forward networks are universal approximators. Neural Networks 2, 359-366.
21. Huntingford C. & Cox P.M. (1997) Use of statistical and neural network techniques to detect how stomatal conductance responds to changes in the local environment. Ecological Modelling 97 (3), 217-246.
22. Kesselmeier J. & Staudt M. (1999) Biogenic volatile organic compounds (VOC): An overview on emission, physiology and ecology (review). Journal of Atmospheric Chemistry 33, 23-88.
23. Kesselmeier J., Ciccioli P., Kuhn U., et al. (2002a) Volatile organic compound emissions in relation to plant carbon fixation and the terrestrial carbon budget. Global Biogeochemical Cycles 16, (4), 73.1-9.
24. Kesselmeier J., Kuhn U., Rottenberger S., et al. (2002b) Concentrations and species composition of atmospheric volatile organic compounds (VOC) as observed during wet and dry season in Rondônia (Amazonia). Journal of Geophysical Research 107, (D20), 20.1-13.
25. Kuhn U., Rottenberger S., Biesenthal T., et al. (2002) Isoprene and monoterpene emissions of amazonian tree species during the wet season: direct and indirect investigations on controlling environmental functions. Journal of Geophysical Research 107, (D20), 38.1-13.
26. Kuhn U., Rottenberger S., Biesenthal T., Wolf A., Schebeske G., Ciccioli P. & Kesselmeier J. (2004a) Strong correlation between isoprene emission and gross photosynthetic capacity during leaf phenology of the tropical tree species Hymenaea courbaril with fundamental changes in VOC emission composition during early leaf development. Plant, Cell and Environment 27, 1469-1485.
27. Kuhn U., Rottenberger S., Biesenthal T., et al. (2004b) Seasonal differences in light dependent monoterpene and isoprene emissions by Amazonian tree species. Global Change Biology 10, 663-682.
28. Kuzma J. & Fall R. (1993) Leaf isoprene emission rate is dependent on leaf development and the level of isoprene synthase. Tree Physiology 101, 435-440.
29. Lek S. & Guegan J.F. (1999) Artificial neural networks as a tool in ecological modelling, an introduction. Ecological Modelling 120, 65-73.
30. Lerdau M.T. & Throop H.L. (1999) Isoprene emission and photosynthesis in a tropical forest canopy: Implications for model development. Ecological Applications 9, 1109-1117.
31. Llusià J. & Peñuelas J. (1999) Pinus halepensis and Quercus ilex terpene emission as affected by temperature and humidity. Biologia Plantarum 42, 317-320.
32. Monson R.K., Harley P.C., Litvak M. & Wildermuth M. (1994) Environmental and developmental controls over the seasonal pattern of isoprene emission from aspen leaves. Oecologia 99, 260-270.
33. Müller J.-F. & Brasseur G. (1995) IMAGES: a three-dimensional chemical transport model of the global troposphere. Journal of Geophysical Research 100, 16445-16490.
34. Núñez L., Plaza J., Pérez-Pastor R., Pujadas M., Gimeno B.S., Bermejo V. & García-Alonso S. (2002) High water vapour pressure deficit influence on Quercus ilex and Pinus pinea field monoterpene emission in the central Iberian peninsula (Spain). Atmospheric Environment 36, 4441-4452.
35. Papale D. & Valentini R. (2003) A new assessment of European forests carbon exchanges by eddy fluxes and artificial neural network spatialization. Global Change Biology 9, 525-535.
36. Peñuelas J. & Llusià J. (2004) Plant VOC emissions: making use of the unavoidable. Trends in Ecology and Evolution 19, 402-404.
37. Petron G., Harley P.C., Greenberg J. & Guenther A. (2001) Seasonal temperature influence isoprene emission. Geophysical Research Letters 28, 1707-1710.
38. Press W.H. (1997) Numerical Recipes in C: the Art of Scientific Computing., 2nd edn, Vol. 1. Cambridge University Press, Cambridge, UK.
39. Roelofs G.-J. & Lelieveld J. (2000) Troposhperic ozone simulation with a chemistry-general circulation model: influence of higher hydrocarbon chemistry. Journal of Geophysical Research 105, 22697-22712.
40. Rottenberger S., Kuhn U., Wolf A., Schebeske G., Oliva S., Tavares T. & Kesselmeier J. (2004) Exchange of short-chain aldehydes between Amazonian vegetation and the atmosphere. Ecological Applications 14 (4 Suppl.), 247-262.
41. Rumelhart D., Hinton G. & Williams R. (1986) Learning internal representation by error propagation. In Parallel Distributed Processing: Explorations in the Microstructure of Cognition (eds. J. McClelland & D.Rumelhart) Vol. 1, pp. 318-362. MIT Press, Cambridge, MA, USA.
42. Schnitzler J.P., Bauknecht N., Bruggemann N., et al. (2002) Emission of biogenic volatile organic compounds: An overview of field, laboratory and modelling studies performed during the 'Tropospheric Research Program' (TFS) 1997-2000. Journal of Atmospheric Chemistry 42, 159-177.
43. Schnitzler J.P., Lehning A. & Steinbrecher R. (1997) Seasonal pattern of isoprene synthase activity in Quercus robur leaves and its significance for modeling isoprene emission rates. Botanica Acta 110, 240-243.
44. Schuh G., Heiden A.C., Hoffmann T., Kahl J., Rockel P., Rudolph J. & Wildt J. (1997) Emissions of volatile organic compounds from sunflower and beech: Dependence on temperature and light intensity. Journal of Atmospheric Chemistry 27, 291-318.
45. Sharkey T.D. & Yeh S.S. (2001) Isoprene emission from plants. Annual Review of Plant Physiology and Plant Molecular Biology 52, 407-436.
46. Sharkey T.D., Singsaas E.L., Lerdau M.T. & Geron C.D. (1999) Weather effects on isoprene emission capacity and applications in emissions algorithms. Ecological Applications 9, 1132-1137.
47. Sparks J.P., Greenberg J.P., Harley P.C. & Guenther A. (2003) Field observations of increased isoprene emissions under ozone fumigaiton: implications for tropospheric chemistry? Eos Transactions AGU Fall Meeting supplement 84, Abstract A21F-05.
48. Staudt M., Joffre R. & Rambal S. (2003) How growth conditions affect the capacity of Quercus ilex leaves to emit monoterpenes. New Phytologist 158, 61-73.
49. Theis N. & Lerdau M. (2003) The evolution of function in plant secondary metabolites. International Journal of Plant Science 164 (3 Suppl.), 93-102.
50. Tingey D.T., Manning M., Grothaus L.C. & Burns W.F. (1980) Influence of light and temperature on monoterpene emission rates from slash pine (Pinus elliottii). Plant Physiology 65, 797-801.
51. van Wijk M.T. & Bouten W. (1999) Water and carbon fluxes above European coniferous forests modelled with artificial neural networks. Ecological Modelling 120, 181-197.
52. Zimmer W., Bruggemann N., Emeis S., Giersch C., Lehning A., Steinbrecher R. & Schnitzler J.P. (2000) Process-based modelling of isoprene emission by oak leaves. Plant, Cell and Environment 23, 585-595.