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POPULATIONS & CARRYING CAPACITY
02 June 2010 1Populations.ppt
Population
• number of individuals of a species in a defined place and time.
02 June 2010 2Populations.ppt
Dynamic characteristics of populations
• Size, number of individuals (N)
• Density (N/ area)• Dispersion,– Random, uniform,
clumped, • (appropriate scale)
02 June 2010 3Populations.ppt
Dynamic characteristics of populations
• Age distribution,– proportions of young, middle-aged, old– Differs in growing, stable, decreasing populations
02 June 2010 4Populations.ppt
Changes in populations
• Growth
• Decline
• May affect size, density, dispersion, age distribution.
• May be affected by size, density, dispersion, age distribution.
02 June 2010 5Populations.ppt
Changes in populations
• Growth – Expansion of species’ populations may lead to
evolution of new species
• Decline– Shrinking species’ populations may lead to
extinction• Small populations
• Narrowly specialized species
02 June 2010 6Populations.ppt
Changes in populations
• ΔN = +B +I –D –E– +B = births (birth rate)
– +I = immigrants (immigration rate)
– – D = deaths (death rate)
– – E = emigrants (emigration rate)
– (For many [most] natural populations I and E are minimal.)
02 June 2010 7Populations.ppt
Population growth
– B > D
– Exponential growth, dN/dt = rN• N = number, pop.size
• r = biotic potential, intrinsic rate of increase.
02 June 2010 8Populations.ppt
Population growth
• Exponential growth unlimited– dN/dt = rN
• Unrealistic
Population growth
• Logistic growth, – dN/dt = rN (1 - N/K)
• N = number, population size
• r = biotic potential, “intrinsic rate of increase.”
• K = carrying capacity
– Better represents real populations
Population growth
• Logistic growth, – dN/dt = rN (1 - N/K)
• N = number, population size
• r = biotic potential, “intrinsic rate of increase.”
• K = carrying capacity
– Better represents real populations
Logistic model
• Logistic model works, to a point.– Real organisms have time lags for growth, time to
develop eggs, flowers, etc.• seasonality, longevity
– Real populations may exceed carrying capacity.• Easter Island
• Pribloff Reindeer
• Kaibab Deer
02 June 2010 12Populations.ppt
Easter Island
• Discovered by Polynesians ~ A.D. 1000• Population grew to several thousand– Used trees for canoes to hunt dolphins– Used wood for cooking– Also ate birds, eggs, vegetables
• Resources (trees) depleted– No canoes, no dolphins– Warfare over land, food resources
• Population fell to ~ 100 when discovered by Dutch, Easter Sunday 1722.
02 June 2010 13Populations.ppt
02 June 2010 14Populations.ppt
Pribloff reindeer
02 June 2010 15Populations.ppt
Logistic model
• Carrying capacity modeled as a constant.• May be variable– Interspecific competition,– Seasonal change, • resources abundant in summer, rainy season;• resources scarce in winter, dry season
– Events may alter resource availability, • storms, mild years, human intervention.
02 June 2010 16Populations.ppt
Population growth, biotic potential, & life history strategy.
02 June 2010 17Populations.ppt
Various species have various strategies for coping with a
variable world.
02 June 2010 18Populations.ppt
Two general types ofLife History Strategies
Life History trait r-adapted, Opportunistic
K-adapted, Equilibrium
Offspring Many, small (high r) Fewer, large (low r)
Offspring survival Low High
Parental care Rare Common
Reproductive age Early Later
Reprod. “seasons” 1-few Many
Habitat Unstable, temporary Stable, permanent
Competitiveness Low High
Population regulation Density independent Density dependent
Population fluctuation Irruptive Stable near K
Life History Strategies
• Survivorship curves of Opportunistic and Equilibrium species– Opportunistic have Type III
– Equilibrium have Type I
02 June 2010 20Populations.ppt
Life History Strategies
• Fluctuating populations of two interacting populations– Based on pelts sold by Canadian trappers to the Hudson Bay
Company, ~1840-1940.
02 June 2010 21Populations.ppt