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Population dynamics
variation in a population over time and space
all populations experience fluctuations due to factors such as availability of resources, predation, disease, competition, etc.
Overshoots
when a population grows beyond its carrying capacity
Die-offs
a substantial decline in density that typically goes well below carrying capacity
Population cycles
regular oscillation of population size over a long period of time. Some populations exhibit regular fluctuations in size
can be modeled by starting with the logistic growth model
Delayed density dependence
when density dependence occurs based on a population density at some time in the past
ex. moose breed in the fall- if carrying capacity is high, many parents will breed. but, reduced resources in the spring may not support all of the offspring
Damped oscillations
a pattern of population growth in which the population size initially oscillates, but the magnitude of the oscillations declines over time
Stable limit cycle
a pattern of population growth in which the population size continues to exhibit large oscillations over time
Energy reserves in causing population size cycling
delayed density dependence may occur because the organism can store energy and nutrient reserves
Extinction
smaller populations are more likely to go extinct, but growth models suggest that small populations should have more rapid growth and be resistant to extinction
this contradiction can be resolved by incorporating random variation of growth rates into growth models
Deterministic model
a model that is designed to predict a result without accounting for random variation in population growth rate
Stochastic model
a model that incorporates random variation in population growth rate; assumes that variation in birth and death rates is due to random events
Demographic stochasticity
variation in birth and death rates due to random differences among individuals
Environmental stochasticity
variation in birth and death rates due to random changes in environmental conditions
Metapopulation
a set of local subpopulations linked by dispersal
each subpopulation has its own independent birth and death rates
Habitat fragmentation
the process of breaking up large habitats into a number of smaller habitats
usually occurs as a result of human activities; some habitat fragments experience extinctions
Metapopulation dynamics
two sets of processes determine dynamics:
growth and regulation
colonization and extinction of subpopulations
Basic metapopulation model
a model that describes a scenario in which there are patches of suitable habitat embedded within a matrix of unsuitable habitat. Assumes all patches are of equal quality
p = the fraction of occupied habitat patches
e = the probability of each patch becoming unoccupied (going extinct)
c = the probability of a patch becoming colonized
assumptions:
ignores population growth, birth and death
ignores population regulation and environmental interaction
patches are all the same size
patches are equidistant from all patches (equal migration probability)
populations are assumed independent
Source-sink metapopulation model
sources = high quality patches that produce a large number of individuals that disperse to other patches
sinks = low quality patches that produce few individuals and rely on dispersers to keep the sink population from going extinct
if subpopulations rarely exchange individuals, fluctuations in abundance will be independent among subpopulations
is subpopulations frequently exchange individuals, the subpopulations will act as one large populations
if patches are connected, abundance in one subpopulation can affect the abundance of the connected subpopulation
Rescue effect
the phenomenon of dispersers supplementing a declining subpopulation that is headed toward extinction
The landscape metapopulation model
contains the most realistic conditions of habitat patches that differ in quality and a surrounding matrix that is variable in its suitability for dispersal and the presence of dispersal barriers
considers effects of differences in the habitat matrix:
the quality of a habitat patch can be affected by the nature of the surrounding matrix
some matrix habitats are more easily traversed than others