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POPULATIONS & CARRYING CAPACITY 02 June 20101Populations.ppt.

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Presentation on theme: "POPULATIONS & CARRYING CAPACITY 02 June 20101Populations.ppt."— Presentation transcript:

1 POPULATIONS & CARRYING CAPACITY 02 June 20101Populations.ppt

2 Population number of individuals of a species in a defined place and time. 02 June Populations.ppt

3 Dynamic characteristics of populations Size, number of individuals (N) Density (N/ area) Dispersion, – Random, uniform, clumped, (appropriate scale) 02 June Populations.ppt

4 Dynamic characteristics of populations Age distribution, – proportions of young, middle-aged, old – Differs in growing, stable, decreasing populations 02 June Populations.ppt

5 Changes in populations Growth Decline May affect size, density, dispersion, age distribution. May be affected by size, density, dispersion, age distribution. 02 June Populations.ppt

6 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 Populations.ppt

7 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 Populations.ppt

8 Population growth – B > D – Exponential growth, dN/dt = rN N = number, pop.size r = biotic potential, intrinsic rate of increase. 02 June Populations.ppt

9 Population growth Exponential growth unlimited – dN/dt = rN Unrealistic

10 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

11 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

12 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 Populations.ppt

13 Easter Island Discovered by Polynesians ~ A.D 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 June Populations.ppt

14 02 June Populations.ppt

15 Pribloff reindeer 02 June Populations.ppt

16 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 Populations.ppt

17 Population growth, biotic potential, & life history strategy. 02 June Populations.ppt

18 Various species have various strategies for coping with a variable world. 02 June Populations.ppt

19 Two general types of Life History Strategies Life History traitr-adapted, Opportunistic K-adapted, Equilibrium OffspringMany, small (high r)Fewer, large (low r) Offspring survivalLowHigh Parental careRareCommon Reproductive ageEarlyLater Reprod. seasons1-fewMany HabitatUnstable, temporaryStable, permanent CompetitivenessLowHigh Population regulationDensity independentDensity dependent Population fluctuationIrruptiveStable near K

20 Life History Strategies Survivorship curves of Opportunistic and Equilibrium species – Opportunistic have Type III – Equilibrium have Type I 02 June Populations.ppt

21 Life History Strategies Fluctuating populations of two interacting populations – Based on pelts sold by Canadian trappers to the Hudson Bay Company, ~ June Populations.ppt


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