Sensitivity analysis of complex models

Biological Conservation

Volumn 86, Issue 3, 1998, Pages 401-412

  Drechsler, Martin ^a  

^a UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

Parameter uncertainty; Population model; Principal components analysis; Rank order; Regression analysis; Sensitivity analysis

Indexed keywords

ECOLOGICAL MODELING; SENSITIVITY ANALYSIS;

EID: 0032403972     PISSN: 00063207     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0006-3207(98)00021-4     Document Type: Article

References (23)

1. Akçakaya, H. R., 1991. A method for simulating demographic stochasticity. Ecological Modelling 54, 133-136.
2. Beck, M. B., 1983. Sensitivity analysis, calibration and validation. In: Orlob, G. T. (Ed.), Mathematical Modelling of Water Quality: Streams, Lakes and Reservoirs. International Series on Applied Systems Analysis, Volume 12. Wiley, Chichester, pp. 425-467.
3. Caswell H. A general formula for the sensitivity of population growth rate to changes in the life history parameters. Theoretical Population Biology. 14:1978;215-230.
4. de Kroon H., Plaisier A., van Groenendael J., Caswell H. Elasticity: the relative contribution of demographic parameters to population growth rate. Ecology. 67:1986;1427-1431.
5. Drechsler M., Wissel C. Trade-offs between local and regional scale management. Biological Conservation. 83:1998;31-41.
6. Drechsler, M., Burgman, M. A., Menkhorst, P. W., 1998. Uncertainty in population dynamics and its consequences for the management of the Orange-bellied Parrot Neophema chrysogaster. Biological Conservation 84, 3, 269-281.
7. Ginzburg L.R., Slobodkin L.B., Johnson K., Bindman A.G. Quasiextinction probabilities as a measure of impact on population growth. Risk Analysis. 2:1982;171-181.
8. Goodman, D., 1987. The demography of chance extinction. In: Soulé, M. (Ed.), Viable Populations for Conservation. Cambridge University Press, Cambridge, pp. 11-34.
9. Henderson-Sellers, B., Henderson-Sellers, A., 1993. Factorial techniques for testing environmental model sensitivity. In: Beck, M. B., McAleer, M. J. (Eds), Modelling Change in Environmental Systems. John Wiley, Chichester.
10. Hosmer, D. W., Lemeshow, S., 1989. Applied Logistic Regression. John Wiley and Sons, New York.
11. Kleijnen, J. P., 1987. Statistical Tools for Simulation Practitioners. Marcel Dekker, New York.
12. Krebs, C. J., 1985. Ecology: The Experimental Analysis of Distribution and Abundance. Harper and Row, New York.
13. Levins R. Some demographic and genetic consequences of environmental heterogeneity in biological control. Bulletin of the Entomological Society of America. 15:1969;237-240.
14. Lotka, A. J., 1924. Elements of Physical Biology. Williams and Williams, Baltimore. [Republished in 1956 as Elements of Mathematical Biology. Dover Publications, New York.].
15. Ludwig, J. A., Reynolds, J. F., 1988. Statistical Ecology. John Wiley and Sons, New York.
16. McCarthy, M. A., 1995. Stochastic Population Models for Wildlife Management. PhD Thesis. The University of Melbourne.
17. McCarthy M.A., Burgman M.A., Ferson S. Sensitivity analysis for models of population viability. Biological Conservation. 73:1995;93-100.
18. McCarthy M.A., Burgman M.A., Ferson S. Logisitic sensitivity and bounds for extinction risks. Ecological Modelling. 86:1996;297-303.
19. Oates, G. C., 1990. Vector analysis. In: Pearson, C. E. (Ed.), Handbook of Applied Mathematics. Van Nostrand Reinhold, New York.
20. Possingham H.P., Lindenmayer D.B., Norton T.W. A framework for the improved management of threatened species based on population viability analysis (PVA). Pacific Conservation Biology. 1:1993;39-45.
21. Randerson, P. F., 1993. Ordination. In: Frey, J. C. (Ed.), Biological Data Analysis. IRL Press at Oxford University Press, Oxford.
22. Sokal, R. R., Rohlf, F. J., 1981. Biometry, 2nd ed. Freeman, New York.
23. Watt, K. E. F., 1968. Ecology and Resource Management. McGraw Hill, New York.