Single Species Population Growth

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22 Terms

1
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What does ecology describe?

Describes the patterns of abundance and distribution of species and identify the mechanism that give rise to these patterns

2
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What is population ecology?

The study of changes in the size of population of a given species through time and the factors that regulate it

3
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What does population mean?

Group of individuals of a single species that occupy the same genral area

4
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By using the definition of population what does this mean for an individuals?

→Rely on the same resources

→Are influenced by biotic and abiotic factors

→Have a high probability of interacting

5
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What are the 3 things that characterise populations:

→How many individuals/density/biomass

→How fast it grows

→Limits to its growth

6
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Equation for growth and explain each variable:

Nt+1=Nt+Bt+It-Dt-Et

Nt=Number of individuals

Bt+It=How fast it grows

Dt-Et=Limits to its growth

7
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What are the 3 survivorship curves:

→Type I=K strategists

→Type II=Bothe R and K

→Type III=R strategists

<p>→Type I=K strategists</p><p>→Type II=Bothe R and K</p><p>→Type III=R strategists</p>
8
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Type I=K strategists

→Live to old age

→Few offspring, long periods of parental care

9
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Type II=Both R and K

→Constant survivorship

→Many offspring, some parental care

10
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Type III=R strategists

→Low early and high late survival

→Many more offspring, little or no parental care

11
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When do populations grow exponentially?

→Births and death rates are constant

→More births than deaths

→There are no limiting resources

12
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Equations for local, closed populations in exponential growth: Discrete/Difference

Nt+1=RNt

Nt=N0ert

13
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What does the R/r in these two equations, Nt+1=RNt/Nt=N0ert, represent?

R=Finite rate of population

r=Intrinsic rate of increase

14
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Equation for local, closed populations in exponential growth: Continuous/Differential

dN/dt=rN

15
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Discrete time vS Continuous time

Discrete:

→Model change over one time step

→Easy to stimulate

→Easy to analyse

→Difference equations

→Less stable

Continuous:

→Model instantaneous rate of change

→Simulations often require numerical integration

→Analytical solutions might be limited to equilibrium points

→Differential equations

→More stable

16
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Difference equation

Nt+1=RNt

17
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Differential equation

dN/dt=rn

18
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What does it mean by stability in discrete time and continuous time?

The amount of delay in populations

→more delay=less stable

→less delay=more stable

19
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How do you represent data that is phenomenological, the whole population through time?

X-axis=Time (t)

Y-axis=Population size (N)

<p>X-axis=Time (t)</p><p>Y-axis=Population size (N)</p>
20
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How do you represent data that is phenomenological, change in the whole population through time?

X-axis=Time (t)

Y-axis=Rate of change in population over time (∆N/∆t)

<p>X-axis=Time (t)</p><p>Y-axis=Rate of change in population over time (<span style="color: rgb(242, 235, 235)">∆N/∆t)</span></p>
21
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How do you represent data that has biological mechanism, change per individual through time?

X-axis=Time (t)

Y-axis=Per capita rate of population change (1/N∆N/∆t)

<p>X-axis=Time (t)</p><p>Y-axis=Per capita rate of population change (1/N<span style="color: rgb(242, 235, 235)">∆N/∆t)</span></p>
22
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How do you represent biological-ecological mechanism change per individual versus density?

X-axis=Population size

Y-axis=Per capita rate of population change (1/N∆N/∆t)

<p>X-axis=Population size</p><p>Y-axis=Per capita rate of population change (1/N<span style="color: rgb(242, 235, 235)">∆N/∆t)</span></p>