Calculating temperature dependence over long time periods: A comparison and study of methods

Agricultural and Forest Meteorology

Volumn 86, Issue 3-4, 1997, Pages 169-181

  Lischke, Heike ^a,b   Löffler, Thomas J ^a   Fischlin, Andreas ^a  

^a ETH ZURICH   (Switzerland)

^b SWISS FEDERAL RESEARCH INSTITUTE WSL   (Switzerland)

Author keywords

Biological processes; Modelling; Temperature dependence; Temporal aggregation

Indexed keywords

EID: 0343812094     PISSN: 01681923     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0168-1923(97)00015-4     Document Type: Article

References (19)

1. Allen, J.C., 1976. A modified sine wave method for calculating degree days. Environ. Entomol. 5, 388-396.
2. Blago, N., Dickler, E., 1990. Effectiveness of the Californian prognosis model 'BUGOFF2' for Cydia pomonella L. (Lepidoptera, Tortricidae) under Central European Conditions. Acta Hortic. 276, 53-62.
3. Bronstein, I.N., Semendjajew, K.A., Musiol, G., Mühlig, H., 1995. Taschenbuch der Mathematik, 2nd ed. Harri Deutsch, Thun.
4. Bugmann, H., 1994. On the ecology of mountainous forests in a changing climate: A simulation study. Dissertation, ETH Zürich.
5. Bugmann, H., 1996. A simplified forest model to study species composition along climate gradients. Ecology 77, 2055-2074.
6. Del Real-Laborde, J.I., Anderson, J.L., Seeley, S.D., 1990. An apple tree dormancy model for subtropical condidtions. Acta Hortic. 276, 183-191.
7. Fischlin, A., 1991. Interactive modeling and simulation of environmental systems on workstations. In: Möller, D.P.F., Richter, O. (eds.), Analyse Dynamischer Systeme in Medizin, Biologie und Ökologie, vol. 275. Springer, Berlin, Heidelberg, Bad-Münster-am-Stein-Ebernburg.
8. Fischlin, A., Bugmann, H., Gyalistras, D., 1995. Sensitivity of a forest ecosystem model to climate parametrization schemes. Environ. Pollut. 87, 267-282.
9. Kirsta, Y.B., Tarabrin, V.A., 1994. Real biological time and its calculation in wheat. Ecological Modelling, 71: 259-267.
10. Lischke, H., 1992. A model to simulate the population dynamics of the codling moth (Cydia pomonella L. (Lepidoptera, Torticidae)): Parameter estimation and sensitivity analysis. Acta Hortic. 313, 331-338.
11. Lischke, H., Blago, N., 1990. A model to simulate the population dynamics of the codling moth (Cydia pomonella L. (Lepidoptera, Torticidae)): Development and male moth flight. Acta Hortic. 276, 43-52.
12. Lischke, H., Löffler, T.J., Fischlin, A., 1997a. Aggregation of individual trees and patches in forest succession models -Capturing variability with height structured random dispersions. Theor. Popul. Biol. (submitted).
13. Lischke, H., Löffler, T.J., Fischlin, A., 1997b. Calculating temperature dependence over long time periods: Derivation of methods. Ecol. Model., 98: 105-122.
14. Parton, W.J., Schimel, D.S., Ojima, D.S., Cole, C.V., 1993. A general model for soil organic matter dynamics: sensitivity to litter chemistry, texture and management. In: R.B. Bryant (ed.), Quantitative modeling of soil forming processes. Soil Science Society of America, Madison, WI, pp. 147-167.
15. Pisek, A., Larcher, W., Moser, W., Pack, I., 1969. Kardinale Temperaturbereiche der Photosynthese und Grenztemperaturen des Lebens der Blätter verschiedener Spermatophyten: III. Temperaturabhängigkeit und optimaler Temperaturbereich der Netto-Photosynthese. Flora, Abt. B 158, pp. 608-630.
16. Prentice, I.C.S., Sykes, M.T., Cramer, W., 1993. A simulation model for the transient effects of climate change on forest landscapes. Ecological Modelling, 65: 51-70.
17. Richner, G., 1994. Einfluss des Wärmeentzugs aus dem Grundwasser auf den Wärmehaushalt im Wurzelraum. Ph.D. Thesis, ETH Zürich.
18. Sachs, L., 1984. Applied Statistics, 5th ed. Springer, New York.
19. Thöny, J., Fischlin, A., Gyalistras, D., 1994. RASS: towards bridging the gap between interactive and off-line simulations. In: Halin, J., Karplus, W., Rimane, R. (eds.), CISS-First Joint Conference of International Simulation Societies. Society for Computer Simulation International, San Diego, ETH Zuerich, pp. 99-103.