Estimating growth and mortality in stage-structured populations

Journal of Plankton Research

Volumn 19, Issue 12, 1997, Pages 1913-1928

  Rothschild, Brian J ^a   Sharov, Alexei F ^a   Kearsley, Anthony J ^b   Bondarenko, Alexander S ^a  

^a UNIVERSITY OF MASSACHUSETTS DARTMOUTH   (United States)

^b NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GROWTH; MDELLING; MODELLING; MORTALITY; STAGE-STRUCTURED POPULATION;

EID: 0031434099     PISSN: 01427873     EISSN: None     Source Type: Journal    
DOI: 10.1093/plankt/19.12.1913     Document Type: Article

References (19)

1. Banks, H.T., Botsford, L.W., Kappel, F. and Wang, C. (1991) Estimation of growth and survival in size-structured cohort data: an application to larval striped bass (Morone saxatilis). J. Math. Biol., 30, 125-150.
2. Beyer, J.E. (1989) Recruitment stability and survival - simple size-specific theory with examples from the early life dynamics of marine fish. Dana, 7, 45-147.
3. Boggs, P.T. and Rogers, J. (1990) Orthogonal distance regression. Contemp. Math., 112, 183-194.
4. Boggs, P.T., Byrd, R.H. and Schnabel, R.B. (1987) A stable and efficient algorithm for nonlinear orthogonal distance regression. SIAM J. Sci. Statist. Comput., 8, 1052-1078.
5. Boggs, P.T., Byrd, R.H., Donaldson, J.R. and Schnabel, R.B. (1989) Odrpack - software for weighted orthogonal distance regression. ACM Trans. Math. Software, 348-364.
6. Boggs, P.T., Byrd, R.H., Rogers, J.E. and Schnabel, R.B. (1992) User's reference guide for odrpack version 2.01: Software for weighted orthogonal distance regression. Internal report, National Institute of Standards and Technology, Washington DC.
7. Boggs, P.T., Kearsley, A.J. and Tolle, J.W. (1994) A practical algorithm for general large scale nonlinear optimization problems. Internal report, National Institute of Standards and Technology (to appear in SIAM Journal on Optimization, in press).
8. Caswell, H. (1978) A general formula for the sensitivity of population growth rate to changes in the life history parameters. Theor. Popul. Biol., 14, 215-230.
9. Caswell, H. (1980) On the equivalence of maximizing reproductive value and maximizing fitness. Ecology, 61, 19-24.
10. Crouse, D.T., Crowder, L.B. and Caswell, H. (1987) A stage-based population model for loggerhead sea turtles and implications for conservation. Ecology, 65, 1412-1423.
11. DeAngelis, D.L. and Coutant, C.C. (1979) Growth rates and size distributions of first year smallmouth bass populations: some conclusions from experiments and a model. Trans. Am. Fish. Soc., 108, 137-141.
12. DeAngelis, D.L. and Mattice, J.S. (1979) Implications of a partial differential equation cohort model. Math. Biosci., 47, 271-285.
13. Kearsley, A.J. (1996) The use of optimization techniques in the solution of partial differential equations from science and engineering. PhD Thesis, Computational and Applied Mathematics Department, Rice University.
14. Nakaoka, M. (1993) Yearly variation in recruitment and its effect on population dynamics in Yoldia notabilis (Mollusca: Bivalvia), analyzed using projection matrix model. Res. Popul. Ecol., 35, 199-213.
15. Rothschild, B.J. (1986) Dynamics of Marine Fish Populations. Harvard University Press, Cambridge MA.
16. Seber, G.A.F. and Wild, C.A. (1989) Nonlinear Regression. Wiley and Sons, New York.
17. Somerton, D.A. (1992) Inverse method for mortality and growth estimation: a new method for larval fishes. Fish. Bull., 90, 368-375.
18. Wood, S.N. (1994) Obtaining birth and mortality patterns from structured population trajectories. Ecol. Monogr., 64, 23-44.
19. Wood, S.N. and Nisbet, R.M. (1991) Estimation of mortality rates in size structured populations. Lecture Notes Biomath., 90, 1-101.