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Opportunities for Using Ecological Models for Resource Management

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Ecological Modeling for Resource Management

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References

  • Aber, J. 1997. Why don’t we believe the models? Bulletin of the Ecological Society of America 78:232–233.

    Google Scholar 

  • Akçakaya, H.R. 2000. Population viability analyses with demographically and spatially structured models. Ecological Bulletin 48:23–38.

    Google Scholar 

  • Akçakaya, H.R. and P. Sjögren-Gulve. 2000. Population viability analysis in conservation planning: An overview. Ecological Bulletin 48:9–21.

    Google Scholar 

  • Angermeier, P. and J. Karr. 1994. Biological integrity versus biological diversity as policy directives: Protecting biotic resources. BioScience 44:690–697.

    Google Scholar 

  • Barnthouse, L.W. 1992. The role of models in ecological risk assessment: A 1990’s perspective. Environmental Toxicology and Chemistry 11:1751–1760.

    CAS  Google Scholar 

  • Barnthouse, L.W., J. Boreman, S.W. Christensen, C.P. Goodyear, W. Van Winkle, and D.S. Vaughan. 1984. Population biology in the courtroom: The Hudson River controversy. BioScience 34:14–19.

    Google Scholar 

  • Bernardelli, H. 1941. Population waves. Journal of Burma Research Society 31:1–18.

    Google Scholar 

  • Birch, L.C. 1948. The intrinsic rate of natural increase of an insect population. Journal of Animal Ecology 17:15–26.

    Google Scholar 

  • Bossel, H. 1994. Modeling and Simulation. A.K. Peters, Wellesley, Massachusetts, USA.

    Google Scholar 

  • Botkin, D.B. 1992. Forest Dynamics: An Ecological Model. Oxford University Press, Oxford, UK.

    Google Scholar 

  • Cairns, J., P.V. McCormick, and B.R. Niederlehner. 1993. A proposed framework for developing indicators of ecosystem health. Hydrobiologia 236:1–44.

    Google Scholar 

  • Caswell, H. 2001. Matrix Population Models: Construction Analysis and Interpretation. Sinauer Associates, Inc., Sunderland, Massachusetts, USA.

    Google Scholar 

  • Christensen, S.W., W. Van Winkle, L.W. Barnthouse, and D.S. Vaughan. 1981. Science and the law: Confluence and conflict on the Hudson River. Environmental Impact Assessment Review 2:63–88.

    Google Scholar 

  • Costanza, R., et al. 1997. The value of the world’s ecosystem services and natural capital. Nature 387:253–260.

    Article  CAS  Google Scholar 

  • Dale, V.H. and R.V O’Neill. 1998. Tools to characterize the environmental setting. Pages 62–90 in V.H. Dale and M.R. English, editors. Tools to Aid Environmental Decision Making. Springer-Verlag, New York, New York, USA.

    Google Scholar 

  • Dale, V.H. and W Van Winkle. 1998. Models provide understanding, not belief. Bulletin of the Ecological Society of America 79:169–170.

    Google Scholar 

  • Emlen, J.M. 1989. Terrestrial population models for ecological risk assessment: A state-of-the-art review. Environmental Toxicology and Chemistry 8:831–842.

    CAS  Google Scholar 

  • Gaus, G.F. 1934. The Struggle for Existence. Williams & Wilkins, Baltimore, Maryland, USA.

    Google Scholar 

  • Haefner, J.W. 1996. Modeling Biological Systems: Principles and Applications. Chapman and Hall, New York, New York, USA.

    Google Scholar 

  • Hutchinson, G.E. 1954. Theoretical notes on oscillatory populations. Journal of Wildlife Management 18:107–109.

    Google Scholar 

  • Hutchinson, G.E. 1978. An Introduction to Population Ecology. Yale University Press, New Haven, Connecticut, USA.

    Google Scholar 

  • Jackson, L.J., A.S. Trebitz, and K.J. Cottingham. 2000. An introduction to the practice of ecological modeling. BioScience 50:694–706.

    Google Scholar 

  • Jeffers, J.N.R. 1988. Practitioner’s Handbook on the Modelling of Dynamic Change in Ecosystems. John Wiley & Sons, New York, New York, USA.

    Google Scholar 

  • Jorgensen, S.E., B. Halling-Sorensen, and S.N. Nielsen. 1996. Handbook of Environmental and Ecological Modeling. Lewis Publishers, Boca Raton, Florida, USA.

    Google Scholar 

  • Lefkovitch, L.P. 1965. The study of population growth in organisms grouped by stages. Biometrics 21:1–18.

    Google Scholar 

  • Leopold, A. 1953. The Land Ethic. Round River, Oxford University Press, Oxford, UK.

    Google Scholar 

  • Leslie, P.H. 1945. On the use of matrices in certain population mathematics. Biometrika 33:183–212.

    Google Scholar 

  • Leslie, P.H. 1948. Some further notes on the use of matrices in population mathematics. Biometrika 35:213–245.

    Google Scholar 

  • Leslie, P.H. 1959. The properties of a certain lag type of population growth and the influence of an external random factor on a number of such populations. Physiological Zoology 32:151–159.

    Google Scholar 

  • Leslie, P.H. and T. Park. 1949. The intrinsic rate of natural increase of Tribolium castaneum Herbst. Ecology 30:469–477.

    Google Scholar 

  • Lewis, E.G. 1942. On the generation and growth of a population. Sankhyā 6:93–96.

    Google Scholar 

  • Lindenmayer, D.B., C.R. Margules, and D.B. Botkin. 2000. Indicators of biodiversity for ecological sustainable forest management. Conservation Biology 14:941–950.

    Article  Google Scholar 

  • Lotka, A.J. 1924. Elements of Physical Biology. Williams & Wilkins, Baltimore, Maryland, USA. (Reprinted in 1956 by Dover Publications of New York, New York, USA, as Elements of Mathematical Biology.)

    Google Scholar 

  • MacArthur, R.H. 1958. Population ecology of some warblers of northeastern coniferous forests. Ecology 39:599–619.

    Google Scholar 

  • MacArthur, R.H. 1960. On the relative abundance of species. American Naturalist 94:25–34.

    Google Scholar 

  • McKelvey, R., and V. Hull, editors. 1996. Special issue: Ecological resource modelling. Ecological Modelling 92.

    Google Scholar 

  • Nicholson, A.J. and V.A. Bailey. 1935. The balance of animal populations. Proceedings of the Zoological Society of London 1:551–598.

    Google Scholar 

  • Odum, E.P. 1983. Basic Ecology. Saunders College Publishing, New York, New York, USA.

    Google Scholar 

  • Stalnaker, C.B. 1993. Fish habitat evaluation models in environmental assessments. Pages 140–162 in S.G. Hildebrand and J.B. Cannon, editors. Environmental Analysis: The NEPA Experience. Lewis Publishers, Boca Raton, Florida, USA.

    Google Scholar 

  • Stork, N.E., T.J.B. Boyle, V. Dale, H. Eeley, B. Finegan, M. Lawes, N. Manokaran, R. Prabhu, and J. Soberon. 1997. Criteria and Indicators for Assessing Sustainability of Forest Management: Conservation of Biodiversity. Center for International Forestry Research Working Paper No. 17. Bogor, Indonesia.

    Google Scholar 

  • Swartzman, G. 1996. Resource modelling moves into the courtroom. Ecological Modelling 92:277–288.

    Article  Google Scholar 

  • Swartzman, G.L. and S.P. Kaluzny. 1987. Ecological Simulation Primer. Macmillan Publishing Company, New York, New York, USA.

    Google Scholar 

  • U.S. Department of Agriculture (USDA). 2000. 1997 National Resources Inventory, Revised December 2000. USDA Natural Resources Conservation Service, Washington, District of Columbia, USA.

    Google Scholar 

  • Usher, M.B. 1966. A matrix approach to management of renewal resources, with special reference to selection forests. Journal of Applied Ecology 3:355–367.

    Google Scholar 

  • Verhulst, P.F. 1838. Notice sur la loi que la population suit dans son accroissement. Correspendances Mathématiques et Physiques 10:113–121.

    Google Scholar 

  • Volterra, V. 1926. Variazioni e fluttuazioni del numero d’individui in specie animali conviventi. Mem. Acad. Lincei 2:31–113. (Translation in an appendix to R.N. Chapman. 1931. Animal Ecology. McGraw-Hill, New York, New York, USA.)

    Google Scholar 

  • Wiens, J. 1996. Oil, seabirds, and science: The effects of the Exxon Valdez oil spill. BioScience 46:587–597.

    Google Scholar 

  • White, D., P.G. Minotti, M.J. Barczak, J.C. Sifneos, K.E. Freemark, M.V. Santelmann, C.F. Steinitz, A.R. Kiester, and E.M. Preston. 1997. Assessing risks to biodiversity from future landscape change. Conservation Biology 11:349–360.

    Article  Google Scholar 

  • World Commission on Environment and Development. 1987. Our Common Future. Oxford University Press, Oxford, UK.

    Google Scholar 

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Dale, V.H. (2003). Opportunities for Using Ecological Models for Resource Management. In: Dale, V.H. (eds) Ecological Modeling for Resource Management. Springer, New York, NY. https://doi.org/10.1007/0-387-21563-8_1

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  • DOI: https://doi.org/10.1007/0-387-21563-8_1

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-95493-6

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