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POPULATION GROWTH. What is a population?. A group of organism of the same species living in the same habitat at the same time where they can freely interbreed. © 2010 Paul Billiet ODWS. How can populations change?. Natality Mortality Immigration Emigration. © 2010 Paul Billiet ODWS.
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What is a population? • A group of organism of the same species • living in the same habitat • at the same time • where they can freely interbreed © 2010 Paul Billiet ODWS
How can populations change? • Natality • Mortality • Immigration • Emigration © 2010 Paul Billiet ODWS
Natality • Increases population size • Each species will have its own maximum birth rate • Maximum birth rates are seen when conditions are ideal • This can lead to exponential growth © 2010 Paul Billiet ODWS
Mortality • Mortality reduces population growth • It operates more when conditions are not ideal • Overcrowding leading to competition, spread of infectious disease © 2010 Paul Billiet ODWS
Immigration • It increase population growth • It operates when populations are not completely isolated © 2010 Paul Billiet ODWS
Emigration • It decrease population growth • It operates when populations are not completely isolated © 2010 Paul Billiet ODWS
Interactions Population growth = (Natality + Immigration) - (Mortality + Emigration) © 2010 Paul Billiet ODWS
Numbers Time Population growth K 3 2 1 © 2010 Paul Billiet ODWS
Phases of population growth Phase 1: Log or exponential phase • Unlimited population growth • The intrinsic rate of increase (r) • Abundant food, no disease, no predators etc Phase 2: Decline or transitional phase • Limiting factors slowing population growth © 2010 Paul Billiet ODWS
Phase 3 Plateau or stationary phase • No growth • The limiting factors balance the population’s capacity to increase • The population reaches the Carrying Capacity (K) of the environment • Added limiting factors will lower K • Removing a limiting factor will raise K © 2010 Paul Billiet ODWS
Factors affecting the carrying capacity • Food supply • Infectious disease/parasites • Competition • Predation • Nesting sites © 2010 Paul Billiet ODWS
Modelling population growth, the maths • Population growth follows the numbers of individuals in a population through time. The models try to trace what will happen little by little as time passes by • A small change in time is given by ∆t This is usually reduced to dt • Time may be measured in regular units such as years or even days or it may be measured in units such as generations • A small change in numbers is given by ∆NThis is usually reduced to dN • A change in numbers as time passes by is given by: dN/dt © 2010 Paul Billiet ODWS
Exponential growth Numbers Time © 2010 Paul Billiet ODWS
Exponential growth • The J-shaped curve • This is an example of positive feedback • 1 pair of elephants could produce 19 million elephants in 700 years © 2010 Paul Billiet ODWS
Modelling the curve • dN/dt= rN • r is the intrinsic rate of increase • Example if a population increases by 4% per year • dN/dt= 0.04N © 2010 Paul Billiet ODWS
Real examples of exponential growth • Pest species show exponential growthhumans provide them with a perfect environment • Alien speciesWhen a new species is introduced accidentally or deliberately into a new environment It has no natural predators or diseases to keep it under control © 2010 Paul Billiet ODWS
European starling (Sturnus vulgaris) • Between 1890 and 1891, 160 of these birds were released in Central Park New York. • By 1942 they had spread as far as California. • An estimate population of between 140 and 200 million starlings now exist in North America • One of the commonest species of bird on Earth Image Credit: http://www.columbia.edu/ © 2010 Paul Billiet ODWS
Current distribution CJKrebs (1978) Ecology European starling (Sturnus vulgaris)
© P Billiet The Colorado Beetle (Leptinotarsa decemlineata) • A potato pest from North America • It spread quickly through Europe © 2010 Paul Billiet ODWS
Begon, Townsend & Harper (1990) Ecology The Colorado Beetle (Leptinotarsa decemlineata)
r-strategists boom and bust! • Maximum reproductive potential when the opportunity arrives • Periodic population explosions • Pests and pathogens (disease causing organisms) are often r-species © 2010 Paul Billiet ODWS
The Carrying Capacity • Darwin observed that a population never continues to grow exponentially for ever • There is a resistance from the environment • The food supply nesting sites decrease • Competition increases • Predators and pathogens increase • This resistance results from negative feedback © 2010 Paul Billiet ODWS
K Numbers Time © 2010 Paul Billiet ODWS
The Carrying Capacity • This too can be modelled • It needs a component in it that will slow down the population growth as it reaches a certain point, the carrying capacity of the environment (K) • The equation is called the logistic equation • dN/dt = rN[(K-N)/N] • When N<K then dN/dt will be positivethe population will increase in size • When N=K then dN/dt will be zerothe population growth will stop • Should N>K then dN/dt will become negativethe population will decrease © 2010 Paul Billiet ODWS
K-strategists long term investment • These species are good competitors • They are adapted to environments where all the niches are filled • They have long life spans • Lower reproductive rates but … • High degree of parental care thus … • Low infant mortality • K-strategist flowering plants produce fewer seeds with a large amount of food reserve © 2010 Paul Billiet ODWS