Structured Population Models

2021 ◽  
pp. 47-60
Author(s):  
Timothy E. Essington

The chapter “Structured Population Models” illustrates how one adds more detail to a model, first through density-independent models, then by showing common matrix-model formulations and how those are used to reveal properties of structured models (e.g. population growth rate, stage/age structure). Structured population models have more detail than their nonstructured counterparts. They account for the differences among individuals within a population, usually by explicitly modeling them as distinct state variables. Elasticity analysis is introduced as a way to identify life stages that have a disproportionately large influence on population growth rate. Structured density-dependent models are briefly introduced as extensions on these models.

2020 ◽  
Vol 89 (10) ◽  
pp. 2268-2278
Author(s):  
John Jackson ◽  
Khyne U. Mar ◽  
Win Htut ◽  
Dylan Z. Childs ◽  
Virpi Lummaa

2010 ◽  
Vol 13 (9) ◽  
pp. 1182-1197 ◽  
Author(s):  
Yvonne M. Buckley ◽  
Satu Ramula ◽  
Simon P. Blomberg ◽  
Jean H. Burns ◽  
Elizabeth E. Crone ◽  
...  

2020 ◽  
pp. 201-208
Author(s):  
A. Brandão ◽  
D.S. Butterworth

The upper bound of 0.126 on the maximum demographically possible annual growth rate for humpback whales that has standardly been imposedon recent applications of age-aggregated assessment models for this species in the IWC Scientific Committee, is based on an analysis that assumessteady age structure. It is conceivable that transient age-structure effects could admit greater population growth rates for short periods than suggestedby such a bound. This possibility is addressed by developing an age-structured population model in which possible density dependent changes inpregnancy rate, age at first parturition and natural mortality are modelled explicitly, and allowance is made for the possibility of natural mortalityincreasing at older ages. The model is applied to the case of the west Australian humpback whale population (Breeding Stock D), for which breedingground surveys over the 1982–1994 period provide a point estimate of 0.10 for the annual population growth rate. Results based upon the breedingpopulation survey estimate of abundance of 10,032 in 1999 suggest that 0.12 is the maximum demographically feasible annual rate of increase forthis stock over 1982–1994 if it is a closed population. This result is based on essentially the same parameter choices as led to the earlier r = 0.126bound, i.e. that in the limit of low population size the age at first parturition approaches five years from above, the annual pregnancy rate 0.5 frombelow, and the annual natural mortality rate 0.01 from above. Transient effects do not appear able to reconcile the observed rate of increase withless extreme values of demographic parameters than led to the previously imposed upper bound of 0.126 on the maximum possible annual growthrate. Although use of extreme values reported for demographic parameters for Northern Hemisphere humpback whale populations, rather than thoseconsidered here, would reduce this suggested maximum rate of 0.12, the conclusion that transient effects have a very limited impact on observedpopulation growth rates would be unlikely to change.


2021 ◽  
pp. 213-250
Author(s):  
Timothy E. Essington

The chapter “Skills for Dynamic Models” provides worked examples of the dynamic models presented in Part 1, both in spreadsheets and in R. It also covers some of the mathematical steps used in model analysis. In most cases, instructions are given for both spreadsheets and R. However, when some activities are far easier to do in a programming environment than in spreadsheets, only the instructions for R are shown. The chapter starts out by discussing the skills needed for structured population models, including setting up age structure and creating cobweb plots. Next, it reviews the skills needed for multivariable models, including calculating isoclines and Jacobian matrices. Finally, it introduces the concept of Monte Carlo methods and provides guidance on how to implement them.


2014 ◽  
Vol 71 (7) ◽  
pp. 1604-1618 ◽  
Author(s):  
Wen-Pei Tsai ◽  
Chi-Lu Sun ◽  
André E. Punt ◽  
Kwang-Ming Liu

Most demographic models are single sex, and assume both sexes have the same vital rates. However, many species, including the shortfin mako shark, are sexually dimorphic in vital rates, which suggests the need for two-sex models. In this study, a two-sex stage-structured matrix model was constructed to estimate shortfin mako shark demography and population dynamics. Monte Carlo simulations were used to evaluate the impact of uncertainties on the estimate of population growth rate. The number of shortfin mako sharks is found to be dropping under current conditions, but will stabilize if size-limit management is implemented. The simulations indicated that population growth rate estimates are mainly influenced by the uncertainty related to survival rate and fecundity. The effects of uncertainty regarding the age at maturity and longevity were found to be relatively minor. Future research should focus on obtaining estimates of natural mortality and reproductive traits for this species to improve the accuracy of demographic estimates.


1998 ◽  
Vol 156 ◽  
pp. 986-1015 ◽  
Author(s):  
Judith Banister

To the extent that China's population size or population growth rate causes environmental destruction, such damage has already been done over the last several centuries, especially in the most recent 50 years. The impacts of China's large population and continuing population increase are basically irreversible in the medium-term. But in the coming decades, the relatively low PRC population growth rate will be a minor continuing environmental problem. Other environmental effects associated with population will be twofold. First, China's current age structure is strongly skewed toward the working age groups, and the population aged between 15 and 64 will increase dramatically in the coming decade. This contributes to huge unmet current and future demand for employment. Because the legitimacy of the PRC government depends in part on its success in generating jobs, it will continue to endeavour to meet the challenge of employment generation. This imperative, aggravated by the age structure changes, can be expected to take precedence over environmental considerations where these goals conflict. Secondly, the rising living standards of China's population will contribute to further environmental deterioration. When an enormous population rapidly multiplies its per capita income, the impacts can be massive and ecologically destabilizing.


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