top of page
References

Aiello-Lammens, M.A. and H.R. Akçakaya. 2016. Using global sensitivity analysis of demographic models for ecological impact assessment. Conservation Biology (in press). [Methods and data available at https://github.com/mlammens/demgsa.]

​

Akçakaya, H. R. 1991. A method for simulating demographic stochasticity. Ecological Modelling 54:133-136.

​

Akçakaya, H. R. 2000a. Population viability analyses with demographically and spatially structured models. Ecological Bulletins 48:23-38.

​

Akçakaya, H. R. 2000b. Viability analyses with habitat-based metapopulation models. Population Ecology 42:45-53. (The original publication is available at http://www.springerlink.com)

​

Akçakaya, H. R. 2002. Estimating the variance of survival rates and fecundities. Animal Conservation 5:333-336.

​

Akçakaya, H. R. and J. L. Atwood. 1997. A habitat-based metapopulation model of the California Gnatcatcher. Conservation Biology 11:422-434.

​

Akçakaya, H. R. and L. R. Ginzburg. 1991. Ecological risk analysis for single and multiple populations. Pages 73-87 in: Species Conservation: A Population-Biological Approach. A. Seitz and V. Loeschcke, eds. Birkhauser Verlag, Basel.

​

Akçakaya, H.R. and M.G. Raphael. 1998. Assessing human impact despite uncertainty: viability of the northern spotted owl metapopulation in the northwestern USA.Biodiversity and Conservation 7:875-894.

​

Akçakaya H.R. and P. Sjögren-Gulve. 2000. Population viability analysis in conservation planning: an overview. Ecological Bulletins 48:9-21.

​

Akçakaya, H. R., M. A. McCarthy and J. Pearce. 1995. Linking landscape data with population viability analysis: management options for the helmeted honeyeater. Biological Conservation 73:169-176.

​

Akçakaya, H. R., M. Burgman and L. Ginzburg. 1999. Applied Population Ecology: principles and computer exercises using RAMAS EcoLab 2.0. Second edition. Sinauer, Sunderland, MA. 285 pp.

​

Akçakaya, H.R., J.M. Halley, and P. Inchausti. 2003a. Population-level mechanisms for reddened spectra in ecological time series. Journal of Animal Ecology 72: 698-702.

​

Akçakaya, H.R., J.L. Atwood, D. Breininger, C.T. Collins, and B. Duncan. 2003b. Metapopulation dynamics of the California least tern. Journal of Wildlife Management67:829-842.

​

Akçakaya, H.R., M.A. Burgman, O. Kindvall, C. Wood, P. Sjögren-Gulve, J. Hatfield, and M.A. McCarthy (editors). 2004a. Species Conservation and Management: Case Studies. Oxford University Press, New York.

​

Akçakaya, H.R., V.C. Radeloff, D.J. Mladenoff, and H.S. He. 2004b. Integrating landscape and metapopulation modeling approaches: viability of the sharp-tailed grouse in a dynamic landscape. Conservation Biology 18: 526-537.

​

Anders, A. D., and M. R. Marshall. 2005. Increasing the accuracy of productivity and survival estimates in assessing landbird population status. Conservation Biology 19:66-74.

​

Barker, R. J., and G. C. White. 2002. Joint analysis of live and dead encounters of marked animals. Proceedings of the 2nd International Wildlife Management Congress, Godollo, Hungary.

​

Brook, B.W., J. J. O'Grady, A. P. Chapman, M. A. Burgman, H. R. Akçakaya, R. Frankham. 2000. Predictive accuracy of population viability analysis in conservation biology.Nature 404:385-387.

​

Brook, B. W., D. W. Tonkyn, J. J. O'Grady, and R. Frankham. 2002. Contribution of inbreeding to extinction risk in threatened species. Conservation Ecology 6(1): 16. [online] URL: http://www.consecol.org/vol6/iss1/art16/

​

Burgman, M., S. Ferson and H. R. Akçakaya. 1993. Risk Assessment in Conservation Biology. Chapman & Hall, London. Population and Community Biology Series, 314 pp.

​

Caswell, H. 2001. Matrix Population Models: construction, analysis and interpretation. Sinauer, Sunderland, Massachusetts.

​

Conroy, M. J., J. E. Anderson, S. L. Rathbun, and D. G. Krementz. 1996. Statistical inference on patch-specific survival and movement rates from marked animals.Environmental and Ecological Statistics 3:99-116.

​

Dunham, A.E., H.R. Akçakaya, T. S. Bridges. 2006. Using scalar models for precautionary assessments of threatened species. Conservation Biology 20: 1499-1506.

​

Dunning, D., Ross, Q., Munch, S., & Ginzburg, L.R. (2002) Measurement error affects risk estimates for recruitment to the Hudson River stock of striped bass. The Scientific World Journal 2(S1), 238-253.

​

Ginzburg, L.R., S.F. Ferson and H. R. Akçakaya. 1990. Reconstructibility of density dependence and the conservative assessment of extinction risk. Conservation Biology4:63-70.

​

Ginzburg, L.R. and C.X.J. Jensen. 2004. Rules of thumb for judging ecological theories. Trends in Ecology and Evolution 19(3): 121-126.

​

Gould, W.R. and J.D. Nichols. 1998. Estimation of temporal variability of survival in animal populations. Ecology 79: 2531-2538.

​

Gross, K. 2002. Efficient data collection for estimating growth rates of structured populations. Ecology 83:1762-1767.

​

Harrison, S. and J.F. Quinn. 1989. Correlated environments and the persistence of metapopulations. Oikos 56:293-298.

​

Hassell, M.P. 1986. Detecting density dependence. Trends in Ecology and Evolution 1: 90-93.

​

Hassell, M.P., J. Latto and R.M. May. 1989. Seeing the wood for the trees: detecting density dependence from existing life table studies. Journal of Animal Ecology 58:883-892.

​

Holmes, E. E. 2001. Estimating risks in declining populations with poor data. Proceedings of the National Academy of Sciences of the United States of America 98:5072-5077.

​

Holmes, E. E. 2004. Beyond theory to application and evaluation: Diffusion approximations for population viability analysis. Ecological Applications 14:1272-1293.

​

LaHaye, W. S., R. J. Gutierrez and H. R. Akçakaya. 1994. Spotted owl metapopulation dynamics in southern California. Journal of Animal Ecology 63:775-785.

​

Lande et al. 2002. Estimating density dependence in time-series of age-structured populations. Phil. Trans. of the Royal Soc. B 357:1179-1184.

​

Langton et al. 2002. The estimation of density dependence using census data from several sites. Oecologia133:466-473.

Liebhold, A., W. D. Koenig, and O. N. Bjornstad. 2004. Spatial synchrony in population dynamics. Annual Review of Ecology Evolution and Systematics 35:467-490.

​

Moloney, K.A. 1986. A generalized algorithm for determining category size. Oecologia 69: 176-180.

​

Morris, W.F. and D.F. Doak 2002. Quantitative Conservation Biology. Sinauer, Sunderland, Massachusetts.

​

Munzbergova Z., and J. Ehrlen. 2005. How best to collect demographic data for population viability analysis models. Journal of Applied Ecology 42:1115-1120.

​

Nasution, M. D., C. Brownie, K. H. Pollock, and R. E. Bennetts. 2001. Estimating survival from joint analysis of resighting and radiotelemetry capture-recapture data for wild animals. Journal of Agricultural Biological and Environmental Statistics 6:461-478.

​

Pollock, K. H., C. M. Bunck, S. R. Winterstein, and C. L. Chen. 1995. A capture-recapture survival analysis model for radio-tagged animals. Journal of Applied Statistics 22:661-672.

​

Pollock, K. H., H. H. Jiang, and J. E. Hightower. 2004. Combining telemetry and fisheries tagging models to estimate fishing and natural mortality rates. Transactions of the American Fisheries Society 133:639-648.

​

Pollock, K. H., S. R. Winterstein, C. M. Bunck, and P. D. Curtis. 1989. Survival Analysis in Telemetry Studies - the Staggered Entry Design. Journal of Wildlife Management53:7-15.

​

Powell, L. A., M. J. Conroy, J. E. Hines, J. D. Nichols, and D. G. Krementz. 2000. Simultaneous use of mark-recapture and radiotelemetry to estimate survival, movement, and capture rates. Journal of Wildlife Management 64:302-313.

​

Ryu, H.Y., K.T. Shoemaker, E. Kneip, A. Pidgeon, P. Heglund, B. Bateman, W. Thogmartin, and H.R. Akçakaya. 2016. Developing population models with data from marked individuals. Biological Conservation 197:190-199. [Methods and data available at github.com/Akcakaya/MAPS-to-Models.]

​

Regan, H. M. and T. D. Auld. 2004. Australian shrub Grevillea caleyi: recovery through management of fire and predation. Pages 23-35 in Akçakaya, H.R., M.A. Burgman, O. Kindvall, C. Wood, P. Sjögren-Gulve, J. Hatfield, and M.A. McCarthy, editors. Species Conservation and Management: Case Studies. Oxford University Press.

​

Regan, H. M., M. Colyvan, and M. A. Burgman. 2002. A taxonomy and treatment of uncertainty for ecology and conservation biology. Ecological Applications 12: 618–628.

​

Saether et al. 2002. Stochastic population dynamics of an introduced Swiss population of the ibex. Ecology 83:3457-3465

​

Sezen, Z., H. R. Akçakaya, and C. C. Bilgin. 2004. Turkish Mouflon (Ovis gmelinii anatolica) in Central Anatolia: population viability under scenarios of harvesting for trophy. Pages 459-468 in Akçakaya, H.R., M.A. Burgman, O. Kindvall, C. Wood, P. Sjögren-Gulve, J. Hatfield, and M.A. McCarthy, editors. Species Conservation and Management: Case Studies. Oxford University Press.

​

Smedbol, R. K., and R. L. Stephenson. 2004. Atlantic Herring (Clupea harengus) in the Northwest Atlantic Ocean: dynamics of nested population components under several harvest regimes. Pages 245-255 in Akçakaya, H.R., M.A. Burgman, O. Kindvall, C. Wood, P. Sjögren-Gulve, J. Hatfield, and M.A. McCarthy, editors. Species Conservation and Management: Case Studies. Oxford University Press.

​

Shaffer, M.L. 1981. Minimum population sizes for species conservation. BioScience 31:131-134.

​

Solow, A.R. 1990. Testing for density dependence. A cautionary note. Oecologia 83:47-49.

​

Tucker, W. T. and S. Ferson. 2003. Probability bounds analysis in environmental risk assessments. Applied Biomathematics.

​

Vandermeer, J.H. 1978. Choosing category size in a stage projection matrix. Oecologia 32: 79-84.

​

Walters, C.J. 1985. Bias in the estimation of functional relationships from time series data. Canadian Journal of Fisheries and Aquatic Sciences 42:147-149.

​

Werner, P.A. and Caswell, H. 1977. Population growth rates and age versus stage-distribution models for teasel (Dipsacus sylvestris Huds.) Ecology 58:1103-1111

​

White, G.C., A.B. Franklin, and T.M. Shenk. 2002. Estimating parameters of PVA models from data on marked animals. Pages 169-190 in Beissinger, S.R. and D.R. Mccullough (eds). Population Viability Analysis. University of Chicago Press, Chicago.

​

Zens, M.S. and D.R. Peart. 2003. Dealing with death data: individual hazards, mortality and bias. Trends in Ecology and Evolution 18 (7): 366-373

© 2020 by Applied Biomathematics

RAMAS® is a registered trademark and Applied Biomathematics® is a registered service mark of Applied Biomathematics.

bottom of page