Population viability of Rorippa columbiae: Multiple models and spatial trend data

Conservation Biology

Volumn 12, Issue 5, 1998, Pages 1054-1065

  Crone, Elizabeth E ^a   Gehring, Janet L ^b  

^a UNIVERSITY OF CALGARY   (Canada)

^b BRADLEY UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

PLANT; POPULATION DYNAMICS; POPULATION MODELING; PROTECTED AREA; RARE SPECIES; VIABILITY;

PIERCE ISLAND; UNITED STATES; WASHINGTON;

RORIPPA COLUMBIAE;

EID: 0031751577     PISSN: 08888892     EISSN: None     Source Type: Journal    
DOI: 10.1046/j.1523-1739.1998.97094.x     Document Type: Article

References (36)

1. Burgman, M. A., S. Ferson, and H. R. Akcakaya. 1993. Risk assessment in conservation biology. Chapman and Hall, London.
2. Caswell, H. 1989. Matrix population models: construction, analysis and interpretation. Sinauer Associates, Sunderland, Massachusetts.
3. Crawley, M. J. 1990. The population dynamics of plants. Philosophical Transactions of the Royal Society of London B 330:125-140.
4. Crone, E. E. 1996. Population viability of Rorippa columbiae on Pierce Island: analysis of monitoring data and recommendations for future research. Report. The Nature Conservancy, Seattle.
5. Dennis, B. 1996. Should ecologists become Bayesians? Ecological Applications 6:1095-1193.
6. Dennis, B., P. L. Munholland, and M. J. Scott. 1991. Estimation of growth and extinction parameters for endangered species. Ecological Monographs 61:115-143.
7. Edwards, A. W. F. 1972. Likelihood. Cambridge University Press, Cambridge, United Kingdom.
8. Gehring, J. 1992. 1991 survey of Rorippa columbiae on Pierce Island. Report. The Nature Conservancy, Seattle.
9. Gehring, J. 1994. Report on the status of Rorippa columbiae on the Columbiae River. Report. The Nature Conservancy, Washington State Chapter Office, Seattle.
10. Gerrodette, T. 1987. A power analysis for detecting trends. Ecology 68:1364-1372.
11. Groom, M. J., and M. A. Pascual. 1997. The analysis of population persistence: an outlook on the practice of viability analysis. Pages 4-28 in P. L. Fiedler and P. M. Kareiva, editors. Conservation biology: for the coming decade. 2nd edition. Chapman and Hall, New York.
12. Harper, J. 1977. Population biology of plants. Academic Press, London.
13. Hayes, J. P., and R. J. Steidl. 1997. Statistical power analysis and amphibian population trends. Conservation Biology 11:273-275.
14. Hilborn, R., and M. Mangel. 1997. The ecological detective: confronting models with data. Princeton University Press, Princeton, New Jersey.
15. Kaye, T. 1996. Conservation strategy for Rorippa columbiae (Columbia cress). U.S. Bureau of Land Management, Wenatchee, Washington.
16. Lacey, E. P. 1986. The genetic and environmental control of reproductive timing in a short-lived monocarpic species, Daucus carota (Umbelliferae). Journal of Ecology 74:73-86.
17. Ludwig, O. 1996. Uncertainty and the assessment of extinction probabilities. Ecological Applications 6:1067-1076.
18. Menges, E. S. 1990. Population viability analysis for an endangered plant. Conservation Biology 4:52-62.
19. Menges, E. S., D. M. Waller, and S. C. Gawler. 1986. Seed set and seed production in Pedicularis furbishae, a rare endemic of the St. John River, Maine. American Journal of Botany 73:1168-1177.
20. Middleton, D. A. J., and R. M. Nisbet. 1997. Population persistence time: estimates, models, and mechanisms. Ecological Applications 7:107-117.
21. Nanton, P., D. Gagnon, and A. Nault. 1996. Population viability analysis of American ginseng and wild leek harvested in stochastic environments. Conservation Biology 10:608-621.
22. Pascual, M. A., and P. Kareiva. 1996. Predicting the outcome of competition using experimental data: maximum likelihood and Bayesian approaches. Ecology 77:337-349.
23. Pascual, M. A., P. Kareiva, and R. Hilborn. 1997. The influence of model structure on conclusions about the viability and harvesting of Serengeti wildebeest. Conservation Biology 11:966-976.
24. Reed, J. M., and A. R. Blaustein. 1995. Assessment of "nondeclining" amphibian populations using power analysis. Conservation Biology 9:1299-1300.
25. Rees, M., P. J. Grubb, and D. Kelly. 1996. Quantifying the impact of competition and spatial heterogeneity on the structure and dynamics of a four-species guild of winter annuals. The American Naturalist 147:1-32.
26. Scherer, N., and B. Young. 1992. The influence of water level fluctuations on the length of the growth season of Rorippa columbiae on Pierce Island. Report. The Nature Conservancy, Seattle.
27. Silva, J. F., J. Ravantus, H. Caswell, and M. C. Trevisan. 1991. Population responses to fire in a tropical savanna grass, Andropogon semiberbis: a matrix model approach. Journal of Ecology 79:345-356.
28. Silvertown, J., M. Franco, I. Pisanty, and A. Mendoza. 1993. Comparative plant demography: relative importance of life-cycle components to the finite rate of increase in woody and herbaceous perennials. Journal of Ecology 79:345-356.
29. Silvertown, J., M. Franco, and E. Menges. 1996. Interpretation of elasticity matrices as an aid to the management of plant populations for conservation. Conservation Biology 10:591-597.
30. Stuckey, R. J. 1972. Taxonomy and distribution of the genus Rorippa (Cruciferae) in North America. SIDA 4:279-430.
31. Taylor, B. L., and T. Gerrodette. 1993. The uses of statistical power in conservation biology: the Vaquita and Northern Spotted Owl. Conservation Biology 7:489-500.
32. Taylor, B. L., P. R. Wade, R. A. Stehn, and J. F. Cochrane. 1996. A Bayesian approach to classification criteria for spectaled elders. Ecological Applications 6:1077-1089.
33. Thomas, L. 1997. Retrospective power analysis. Conservation Biology 11:276-280.
34. Thomas, L., and K. Martin. 1996. The importance of analysis method for breeding bird survey population trend estimates. Conservation Biology 10:479-490.
35. Waller, D. M., D. M. O'Malley, and S. C. Gawler. 1987. Genetic variation in the extreme endemic Pedicularis furbishae (Scrophulariaceae). Conservation Biology 1:335-340.
36. Walters, C. J., and D. Ludwig. 1994. Calculation of Bayes posterior probability distributions for key population parameters. Canadian Journal of Fisheries and Aquatic Sciences 51:713-722.