2011
DOI: 10.1371/journal.pone.0024934
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A Two-Phase Model for Smoothly Joining Disparate Growth Phases in the Macropodid Thylogale billardierii

Abstract: Generally, sigmoid curves are used to describe the growth of animals over their lifetime. However, because growth rates often differ over an animal's lifetime a single curve may not accurately capture the growth. Broken-stick models constrained to pass through a common point have been proposed to describe the different growth phases, but these are often unsatisfactory because essentially there are still two functions that describe the lifetime growth. To provide a single, converged model to age animals with di… Show more

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Cited by 6 publications
(2 citation statements)
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“…The rVBGF function was fitted to observe size‐at‐age data of O. pullus and N. fucicola at each location following a smooth‐joining two‐phase (SJ2P) model approach and using the rVBGF function for both phases of growth (McMahon et al . ) (see Appendix S1, Supporting Information). To construct the SJ2P, the two growth phases are required to have the same slope at age Critage (the age at which growth switches from one phase to the other).…”
Section: Methodsmentioning
confidence: 99%
“…The rVBGF function was fitted to observe size‐at‐age data of O. pullus and N. fucicola at each location following a smooth‐joining two‐phase (SJ2P) model approach and using the rVBGF function for both phases of growth (McMahon et al . ) (see Appendix S1, Supporting Information). To construct the SJ2P, the two growth phases are required to have the same slope at age Critage (the age at which growth switches from one phase to the other).…”
Section: Methodsmentioning
confidence: 99%
“…An additional factor that offers to strengthen the selection of simulated density reduction targets is the estimation or quantification of damage intensity resulting from various densities of the target pest population. While the measurement of this factor was outside the original scope of our empirical data collection (see Wiggins et al, 2010;McMahon et al, 2011), upon collection this information can be inputted into STAR for the continued updating of study-specific features and the resulting improvement of model output interpretation (McMahon et al, 2010).…”
Section: Selection Of An Appropriate Density Reduction Management Strmentioning
confidence: 99%