Abstract
Population models have great potential as management tools, as they use information about the life history of a species to summarize estimates of fecundity and survival into a description of population change. Models provide a framework for projecting future populations, determining the effects of management decisions on future population dynamics, evaluating extinction probabilities, and addressing a variety of questions of ecological and evolutionary interest. Even when insufficient information exists to allow complete identification of the model, the modelling procedure is useful because it forces the investigator to consider the life history of the species when determining what parameters should be estimated from field studies and provides a context for evaluating the relative importance of demographic parameters. Models have been little used in the study of the population dynamics of passerine birds because of: (1) widespread misunderstandings of the model structures and parameterizations, (2) a lack of knowledge of life histories of many species, (3) difficulties in obtaining statistically reliable estimates of demographic parameters for most passerine species, and (4) confusion about functional relationships among demographic parameters. As a result, studies of passerine demography are often designed inappropriately and fail to provide essential data. We review appropriate models for passerine bird populations and illustrate their possible uses in evaluating the effects of management or other environmental influences on population dynamics. We identify environmental influences on population dynamics. We identify parameters that must be estimated from field data, briefly review existing statistical methods for obtaining valid estimates, and evaluate the present status of knowledge of these parameters.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Literature Cited
Bart, J., and D. S. Robson. 1982. Estimating survivorship when the subjects are visited periodically. Ecology 63: 1078–1090.
Beddington, J. R. 1974. Age distribution and the stability of simple discrete time population models. Journal of Theoretical Biology 47: 65–74.
Begon, M., and M. Mortimer. 1981. Population ecology. Blackwell Scientific Publications, Oxford, England.
Brownie, C., D. R. Anderson, K. P. Burnham, and D. S. Robson. 1985. Statistical inference from band recovery data-a handbook. Second Edition. U. S. Fish and Wildlife Service, Resource Publication 156, Washington, D. C, USA.
Bunck, C. M. 1987. Analysis of survival data from telemetry projects. Journal of Raptor Research 21: 132–134.
Burnham, K. P., and D. R. Anderson. 1979. The composite dynamic method as evidence for age-specific waterfowl mortality. Journal of Wildlife Management 43: 356–366.
Burnham, K. P., D. R. Anderson, G. C. White, C. Brownie, and K. H. Pollock. 1987. Design and analysis methods for fish survival experiments based on release-recapture. American Fisheries Society Monograph 5.
Caswell, H. 1989. Matrix population models: construction, analysis, and interpretation. Sinauer Associates, Sunderland, Massachusetts, USA.
Caughley, G. 1977. Analysis of vertebrate populations. John Wiley and Sons, New York, New York,USA.
Chu, D. S., and J. B. Hestbeck. 1986. Temporal and geographic estimates of survival and recovery rates for the mallard, 1950 through 1985. U. S. Fish and Wildlife Service, Fish and Wildlife Technical Reports 20, Washington, D. C, USA.
Clobert, J., V. Bauchau, A. A. Dhondt, and C. Vansteenwegen. 1987a. Survival of breeding female starlings in relation to brood size. Acta Oecologica 8: 427–433.
Clobert, J., and J. D. Lebreton. 1991. Estimation of demographic parameters in bird populations. Pages 75–104 inC. M. Perrins, J. D. Lebreton, and G. J. M. Hirons, editors. Bird population studies: relevance to conservation and management Oxford University Press, Oxford, England
Clobert, J., J. D. Lebreton, and D. Allaine. 19876. A general approach to survival rate estimation by recaptures or resightings of marked birds. Ardea 75: 133–142.
Clobert, J., C. M. Perrins, R. H. McCleery, and A. G. Gosier. 1988. Survival rate in the great tit Parus majorin relation to sex, age, and immigration status. Journal of Animal Ecology 57: 287–306
Clutton-Brock, T. H., editor. 1988. Reproductive success: studies of individual variation in contrasting breeding systems. University of Chicago Press, Chicago, Illinois, USA.
Cole, L. C. 1954. The population consequences of life history phenomena. Quarterly Review of Biology 29: 103–137.
Conroy, M. J., and B. K. Williams. 1986. A general methodology for maximum likelihood inference from band-recovery data. Biometrics 40: 739–748.
Deevey, E. S., Jr. 1947. Life tables for natural populations of animals. Quarterly Review of Biology 22: 283–314.
de Kroon, H., A. Plaisier, J. van Groenendael, and H. Caswell. 1986. Elasticity: the relative contribution of demographics parameters to population growth rate. Ecology 67: 1427–1431.
Dobson, A. P. 1990. Survival rates and their relationship to life-history traits in some common British birds. Pages 115–146 inD. M. Power, editor. Current Ornithology, Volume 7. Plenum, New York, New York, USA.
Emlen, J.M. 1984. Population biology: the coevolution of population dynamics and behavior. MacMillan, New York, New York, USA.
Emlen, J. M., and E. K. Pikitch. 1989. Animal population dynamics: identification of critical components. Ecological Modelling 44: 253–273.
Fauth, P. T., D. G. Krementz, and J. B. Hines. 1991. Ectoparasitism and the role of green nesting material in the European starting. Oecologia, in press.
Fisher, R. A. 1958. The genetical theory of natural selection. Second edition. Dover, New York, New York, USA.
Goodman, D. 1980. Demographic intervention for closely managed populations. Pages 171–196 inM. E. Soulé, and B. A. Wilcox, editors. Conservation biology: an evolutionary ecological perspective. Sinauer Associates, Sunderland, Massachusetts, USA.
Haldane, J. B. S. 1955. The calculation of mortality rates from ringing data. Proceedings of the International Ornithological Congress 11: 454–458.
Henny, C. 1972. An analysis of the survival rates of selected avian species: with special reference to changes during the modern pesticide era. U. S. Fish and Wildlife Service Wildlife Research Report 1, Washington, D. C, USA.
Hensler, G. L. 1986. Estimation and comparison of functions of daily nest survival probabilities using the Mayfield method. Pages 289–301 in B. J. T. Morgan and P. M. North, editors. Statistics in ornithology. Lecture Notes in Statistics 29. Springer-Verlag, Berlin, Germany.
Hensler, G. L., and J. D. Nichols. 1982. The Mayfield method of estimating nesting success: a model, estimators and simulation results. Wilson Bulletin 93: 42–53.
Hickey, J. J. 1952. Survival studies of banded birds. U. S. Fish and Wildlife Service Wildlife Research Report 15, Washington, D. C, USA.
Johnson, D.H. 1979. Estimating nest success: the Mayfield method and an alternative. Auk 96: 651–661
Jolly, G. M. 1965. Explicit estimates from capture-recapture data with both death and immigration — a stochastic model. Biometrika 52: 225–247.
Karr, J. R., J. D. Nichols, M. K. Klimkiewicz, and J. D. Braun. 1990. Survival rates of birds of tropical and temperate forests: will the dogma survive? American Naturalist 136: 277–291.
Krementz, D. G., J. D. Nichols, and J. E. Hines. 1989. Postfledging survival of European starlings. Ecology 70: 646–655.
Kuno, E. 1974. Sampling error as a misleading artifact in “key factor analysis.” Researches in Population Ecology 13: 28–45.
Lande, R. 1988. Demographic models of the northern spotted owl (Strix occidentalis caurina). Oecologia (Berlin) 75: 601–607.
Lebreton, J., K. P. Burnham, J. Clobert, and D. R. Anderson. In press. Modeling survival and testing biological hypotheses using marked animals: a unified approach with case studies. Ecological Monographs.
Lebreton, J. D., and J. Clobert. 1991. Bird population dynamics, management, and conservation: the role of mathematical modelling. Pages 105–125 inC. M. Perrins, J. D. Lebreton, G. J. M. Hirons, editors. Bird population studies: relevance to conservation and management. Oxford University Press, Oxford, England.
Lebreton, J., G. Hemery, J. Clobert, and H. Coquillart. 1990. The estimation of age-specific breeding probabilities from recaptures or resightings in vertebrate populations. I. Transversal models. Biometrics 46: 609–622.
Lefkovitch, L. P. 1965. The study of population growth in organisms grouped by stages. Biometrics 21: 1–18.
Leslie, P. H. 1945. On the use of matrices in certain population mathematics. Biometrika 33: 183–212.
Leslie, P. H. 1948a. On the distribution in time of births in successive generations. Journal of the Royal Statistical Society 111: 44–53.
Leslie, P. H. 1948b. Some further notes on the use of matrices in population mathematics. Biometrika 35: 213–245.
Loery, G., and J. D. Nichols. 1985. Dynamics of a black-capped chickadee population, 1958-1983. Ecology 66: 1195–1203.
Loery, G., K. H. Pollock, J. D. Nichols, and J. E. Hines. 1987. Age-specificity of black-capped chickadees survival rates: analysis of capture-recapture data. Ecology 68: 1038–1044.
Martin, T. E., and J. J. Roper. 1988. Nest predation and nest-site selection of a western population of the hermit thrush. Condor 90: 51–57.
Mayfield, H. 1961. Nesting success calculated from exposure. Wilson Bulletin 73: 255–261.
Mayfield, H. 1975. Suggestions for calculating nesting success. Wilson Bulletin 87: 456–466.
Mertz, D. 1971. The mathematical demography of the California condor population. American Naturalist 105: 437–453.
Meyer, J. S., and M. S. Boyce. In press. Life historical consequences of pesticides and other insults to vital rates. InT. E. Lacher, editor. The population ecology and wildlife toxicology of agricultural pesticide use: a modelling initiative for avian species. Society of Environmental Toxicology and Chemistry Special Publication, Lewis Publishers, Boca Raton, Florida, USA.
Michod, R. E., and W. W. Anderson 1980. On calculating demographic parameters from age frequency data. Ecology 61: 265–269.
Moller, A. P. 1989. Population dynamics of a declining swallow Hirundo rusticapopulation. Journal of Animal Ecology 58: 1051–1063.
Nichols, J. D., G. L. Hensler, and P. W. Sikes, Jr. 1980. Demography of the Everglade kite: implications for population management. Ecological Modelling 9: 215–232
Nichols, J. D., B. R. Noon, S. L. Stokes, and J. E. Hines. 1981. Remarks on the use of mark-recapture methodology in estimating avian population size. Studies in Avian Biology 6: 121–136.
Noon, B. R., and C. M. Biles. 1990. Mathematical demography of spotted owls in the Pacific northwest. Journal of Wildlife Management 54: 18–27.
Pielou, E. C. 1974. Population and community ecology. Gordon and Breach, New York, New York, USA.
Pollock, K. H., J. D. Nichols, C. Brownie, and J. E. Hines. 1990. Statistical inference for capture-recapture experiments. Wildlife Monographs 107.
Saether, B. E. 1990. Age-specific variation in reproductive performance of birds. Pages 251–284 inD. M. Power, editors, Current Ornithology. Volume 7. Plenum, New York, New York, USA.
Seber, G. A. F. 1965. A note on the multiple recapture census. Biometrika 52: 249–259.
Seber, G. A. F. 1982. The estimation of animal abundance and related parameters. Second edition. Griffin, New York, New York, USA.
Stenning, M. J., P. H. Harvey, and B. Campbell. 1988. Searching for density-dependent regulation in a population of pied flycatchers Ficedula hypoleucaPallas. Journal of Animal Ecology 57: 307–317.
Stromborg, K. L., C. E. Grue, J. D. Nichols, G. R. Hepp, J. E. Hines, and H. C. Bourne. 1988. Postfledging survival of European starlings exposed as nestlings to an organophosphorus insecticide. Ecology 69: 590–601.
Taylor, M., and J. S. Carley. 1988. Life table analysis of age structured populations in seasonal environments. Journal of Wildlife Management 52: 366–373.
Temple, S. A., and J. A. Wiens. 1989. Bird populations and environmental changes: can birds be bio-indicators? American Birds 43: 260–270.
White, G. C. 1983. Numerical estimation of survival rates from band recovery and biotelemetry data. Journal of Wildlife Management 47: 716–728.
White, G. C, and R. A. Garrott. 1990. Analysis of wildlife radio-tracking data. Academic Press, New York, New York, USA.
Woolfenden, G. E., and J. W. Fitzpatrick. 1984. The Florida scrub jay. Monographs in Population Ecology 20. Princeton University Press, Princeton, New Jersey, USA.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1992 Elsevier Science Publishers Ltd
About this chapter
Cite this chapter
Noon, B.R., Sauer, J.R. (1992). Population Models for Passerine Birds: Structure, Parameterization, and Analysis. In: McCullough, D.R., Barrett, R.H. (eds) Wildlife 2001: Populations. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-2868-1_34
Download citation
DOI: https://doi.org/10.1007/978-94-011-2868-1_34
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-85166-876-2
Online ISBN: 978-94-011-2868-1
eBook Packages: Springer Book Archive