Chapter 11 Flashcards
the distribution of populations is limited to
ecologically suitable habitats
what are population distributions characterized by
- range
- dispersion
- density
- abundance
- dispersal
range
geographic distribution of the species
dispersion
spatial arrangement of individuals and habitats
density
number of individuals per unit of space
abundance
size of the population
dispersal
patterns of movement of individuals within and among populations
spatial structure
the pattern of density and spacing of individuals in a population
Fundamental niche
the range of abiotic conditions (e.g., temperature, humidity, salinity) under which a species can persist
what may prevent a population from persisting in an area
Competitors, predators, and pathogens
realized niche
the range of abiotic and biotic conditions under which a species can persist
geographic range
a measure of the total area covered by a population (e.g., temperature and drought define the range of sugar maple)
what do small-scale variation in the environment create
geographic ranges that are composed of small patches of suitable habitat
Ecological niche modeling
the process of determining the suitable habitat conditions for a species
Ecological envelope
the range of ecological conditions that are predicted to be suitable for a species (differs from the realized niche, which describes conditions in which a species currently exists).
when is predicting the potential geographic range of a species difficult
when only a few individuals exist
what can ecological niche modeling predict
the expansion of pest species
Geographic Distribution (Range):
all the areas that a species occupies during
their life time. This might include rivers/ocean
Endemic
species that live in a single, often isolated, location
Cosmopolitan
species with very large geographic ranges that can span several continents. Cosmopolitan species: rock doves, house sparrows, peregrine falcons, killer whales, cattle egrets
Abundance
the total number of individuals in a population that exist within a defined area (e.g., total number of lizards on a mountain).
what does the total abundance of a population provide
a measure of whether a population is thriving or on the brink of extinction
in a population, the number of individuals per unit area or volume; calculated by dividing abundance by area
density
what happens if population density is greater than what the habitat can support
some individuals must leave or the population will experience lower growth and survival
where does the largest density of individuals typically occur
near the center of a population’s geographic range
what happens near the edges of the range
conditions become less ideal and population densities decrease
the spacing of individuals with respect to one another within the geographic range of a population
dispersion
when individuals are aggregated in discrete groups (e.g., social groups or clustering around resources).
clustered (clumped) dispersion
when each individual maintains a uniform distance between itself and its neighbors (e.g., defended territories, croplands).
evenly spaced dispersion
when the position of each individual is independent of other individuals; not common due to non-random environmental heterogeneity
random dispersion
social antagonism
results in a spaced distribution
mutual attraction
leads to clumping
what happens in the absence of social antagonism or mutual attraction
individuals may distribute themselves randomly
individuals distribute themselves randomly
individuals are not influenced by the positions of others
since a random dispersion pattern implies that spacing is not related to a biological process
it is often used as the model against which an observed dispersion may be compared
probability theory
provides us with the tools to make such comparisons
poisson distribution
a probability distribution of discrete random variables (variables that can take on only a finite number of values)
expresses the probability of a number of events occuring in a fixed period of time and/or space if these events occur with a known average rate, and are independent of the time since the last event
poisson distribution
poisson distribution formula
P(x) = M^xe^-M/x!
M
the mean number of individuals per space