Population Growth Models Ro Net Reproductive Rate Spruce

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Population Growth Models

Population Growth Models

Ro – Net Reproductive Rate

Ro – Net Reproductive Rate

Spruce Budworm

Spruce Budworm

Spruce Budworm defoliation

Spruce Budworm defoliation

Northern Elephant Seal • Reduced to about 20 by 1890’s • Model of exponential

Northern Elephant Seal • Reduced to about 20 by 1890’s • Model of exponential recovery predicted 80 seals by 1906; 40, 960 seals by 1978 • Real data – 125 seals in 1911; 60, 000 seals in 1977; today over 100, 000 elephant seals

Because exponential growth is seldom seen, population growth must be constrained - two types

Because exponential growth is seldom seen, population growth must be constrained - two types of constraints 1) density independent constraints - growth constraints that are not effected by population size - usually abiotic - weather, storms, volcanos 2) density dependent constraints - growth constraints whose effects change as population size increases - usually biotic - competition, predation, parasitism, disease

Pierre-Francois Verhulst Raymond Pearl

Pierre-Francois Verhulst Raymond Pearl

Assumptions for logistic growth equation 1. The population initially has a stable age distribution

Assumptions for logistic growth equation 1. The population initially has a stable age distribution – the SAD assumption. 2. The density of the population has been measured in the proper units. - have we included all age or size classes? 3. The relationship between density and the rate of increase is linear. – each individual has same effect on r. 4. The depressive influence of density on the rate of increase operates instantaneously without any time lags.

Yeast Cells Budding

Yeast Cells Budding

Growing Yeast Cells

Growing Yeast Cells

Whooping Crane

Whooping Crane

Wildebeest

Wildebeest

Salix cinerea

Salix cinerea

Logistic Growth in Several Species

Logistic Growth in Several Species

Reasons natural population growth may not fit logistic growth models 1. In nature, each

Reasons natural population growth may not fit logistic growth models 1. In nature, each individual added to the population does not cause an incremental increase to r 2. In nature, there are often time lags in growth, especially in species with complex life cycles mammals may be pregnant for months before giving birth 3. In nature, K may vary seasonally or with climate 4. In nature, often a few individuals command many matings 5. In nature, there are few barriers preventing dispersal

Daphnia magna – with developing embryos

Daphnia magna – with developing embryos

General rules about population growth 1. There is a strong correlation between size and

General rules about population growth 1. There is a strong correlation between size and generation time in organisms such that small organisms have shorter generation times than large organisms - this is true for organisms from bacteria to whales 2. Organisms with longer generation times have lower per-capita rates of population growth 3. Therefore, larger animals have lower rates of increase, r. For any given size, endotherms have a higher rate of increase than do ectotherms, which in turn have a higher rate of increase than do unicellular organisms

Body size and generation time

Body size and generation time

Body size and per capita population growth rate

Body size and per capita population growth rate