Title: Populations
1Populations
2In order the manage populations or understand
populations
- For the purposes of
- extracting resources
- restoring habitats to natural conditions
- satisfying scientific curiosity
- We need to be able to measure populations
- We need understand the processes that
- regulate populations
- control biological diversity
3Populations
- Vary in
- density
- Abundance
- distribution
- Examples
- Maple trees common in a beach-maple forest
- Rare in oak-pine forests
- Lupins on an old dune ridge occur in dense
patches - Lady slipper orchids widely dispersed in a swamp
or damp lowland forest
4Population
- Defined as a group of individuals of the same
species in a particular place and time - Example
- All humans living in Cornwall
- All the moose in Algonquin Park
- All the yellow perch in Lake St. Francis
5Deme
- Sub-population which is composed of
inter-breeding organisms - There may be some gene flow between demes but
genetic exchange is greater within demes
(sub-population) than among them
6Population size/density
- Affected by four primary population parameters
Immigration ()
Death or Mortality (-)
Density
Birth or Natality ()
Emmigration (-)
7Population density varies widely
- Diatoms
- 5 000 000/cu. m.
- Soil Arthropods
- 500 000 /sq. m
- Trees
- 200/hectar
- Elephants lt 1-10 per sq. km
8Much of what ecologists do
- Requires measuring population sizes
- Identifying rare species
- Increasing populations of endangered species
- Controlling pests
9Measuring populations
- Population density measurements
- Rare to be able measure or enumerate all the
individuals of a population - Exceptions extremely rare species
- Density must be measured in sub-populations
- Extrapolate to entire population
10Defining an individual
- For many species like birds, mammals, fish it is
easy - Unitary (determinate growth)
- Plants are more difficult
- Modular (indeterminate growth)
11Defining an individual
- Genet results from the union of a single egg
sperm - Ramet result from vegetative (asexual
reproduction)
12When counting individuals
- Unitary organisms are straightforward
- Modular organisms are more difficult
- Do we count all trees?
13When counting individuals
- For modular organisms what we count may depend on
the type of question we ask
14Defining individuals
Unitary organisms 6 little brown bats
Modular organisms 1 sumac genet
15Density measurements
- Can be
- Absolute estimates
- Relative estimates
- Relative density of population A is greater
than the density of population B - Absolute density of population A is 100
plants/Hectare
16Density measurements
- Absolute estimates
- May provide more information but are more
difficult to obtain - Cost more (time and energy)
- Fewer sites or species can be monitored
- Must decide whether the extra information is
worth the added cost
17Absolute measurement techniques
- Two basic types
- Quadrat sampling
- Mark recapture sampling
- Most sampling techniques are variations of these
two types
18Quadrat sampling
- All the individuals within a measured area are
counted - Extrapolated to the entire area of study
- Assumes that the quadrat is representative of the
entire area
19Quadrats
- Can be any shape
- Size and number of quadrats will depend on the
species and habitat being studied
20Mark recapture estimates
- Individual animals are captured and marked for
future identification - Marked animals are then released back into the
population - Population is then re-sampled and the proportion
of marked individuals is used to calculate the
population size
21Example
- 200 fish captured, marked and released
- Population is re-sampled 300 fish captured
- 30 marked and 270 unmarked
- 10 of the population is marked
- 200 fish are marked
- Therefore there are 2000 fish in the population
22Relative estimates
- Detecting vocalizations
- Frogs
- Bats (echolocation call surveys with bat
detectors) - Hunter or angler surveys
- Signs of activity
- Tracks, Scats, Slides
23Population size
- Is not the only way in which populations or
species differ
24Life stages and reproductive cycles
- If we wish to understand population regulation
- We need to know which life stages are the
critical ones and what factors influence these
stages - e.g. mortality may not be evenly distributed
throughout the organisms life cycle
25Age distributions
- Many ecological factors are age related
- Death
- Reproductive rate
- Summarizing age specific information can be a
useful way of comparing populations - Three common ways
- Life tables
- Cohort analysis
- Survivorship curves
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27Life table and fecundity schedule
28Life tables and cohort analysis
29Sometimes following a cohort is not practical and
we must use age frequency distributions
30Classic survivorship curves
31Real survivorship curves are sometimes more
complex
32Population characteristics
- Carrying capacity
- K
- Ability of the environment to support a
population -
- Intrinsic rate of increase
- r
- Instantaneous rate of increase per individual
33Two types of species
- K selected species
- Slow growth rates
- Low reproductive rate
- Large investment in raising offspring
- R selected species
- High growth rate
- High reproductive rate ( r )
- Little parental investment
34Two types of populations
- K selected species
- Climax species
- Good competitors
- R selected species
- Good colonizers
- Poor competitors
35Types of life cycles
- We can classify animal life cycles in different
ways - e.g., whether generations overlap
- Overlapping generationshumans and other long
lived species - Non-overlapping generationstemperate
grasshoppers
36Types of life cycles
- e.g., time to compete life cycle
- Annualscompete life cycle in one yearannual
plants (most weeds) and many temperate insects - Biennialstake two years
- Perennialstake several yearsMaple trees
37Types of life cycles
- e.g., timing of reproduction
- Iteroparous
- Reproduce repeatedly throughout their lives
- Devote some energy to reproduction and some to
survival (and future reproductive opportunities)
- Semelparous
- Reproduce once and then die