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SCI 11 MODULES 7-10
MODULE 7
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ecosystem
unit including all the organisms interacting with each other (
biotic community
) in a given area interacting with the
physical environment
ecosystem
first
unit in the
ecological hierarchy
that is complete
ways of understanding ecosystems
Population-community
approach
Process-function
approach
Population-community approach
-ecosystems
as networks of interacting populations (structure and components)
-abiotic
environment as backdrop
Process-function approach
-ecosystems as pathways of matter and energy
-functions and processes are more important than
organisms
performing them
downside of population-community approach
fails to see the
bigger
picture
downside of process-function approach
misses out
importance
of some species
calcification process
corals convert
carbonate
ions
in the seawater into usable forms (
calcium carbonate minerals
) that form their
skeleton
hypothetical food web (structure)
basal
species
intermediate
species
top
predators
keystone species
create or modify
habitats
AND influence
interactions
among species
keystone species
impact
>
abundance
example of keystone species
wolves
,
corals
ecosystem
engineers
any organism that modifies a
habitat
2 types of ecosystem engineers
allogenic
engineers and
autogenic
engineers
allogenic
engineers
modify the environment by
modifying
materials from one form to another
allogenic engineers examples
beaver and trees
autogenic
engineers
modify the environment by
modifying
themselves
autogenic
engineers examples
corals
and
trees
landscapes
heterogeneous
area composed of several
ecosystems
landscape
ecology
landscape
structure
and
process
Landscape elements
Landscape
matrix
Landscape
patch
Landscape
corridor
landscape matrix
the primary 'cover type' in the landscape;
greater
flora and fauna
landscape patch
homogeneous
area that
differs
from the surrounding matrix
landscape corridor
a strip of environment connecting
2
or
more landsape
patches of similar habitat
complexity
theory
based upon a
conceptual
model in which entities exist in a hierarch of
interrelated
organizational levels
parameters of a complex system
numerosity, non-linearity,
connectivity
,
autonomy
& adaptation
numerosity
number of elements in
different levels
to the
hierarchy
within our system
non-linearity
interactions and feedback loops over time
connectivity
indicates the
degree
of how things flow in networks
autonomy
&
adaptation
enables
self-organization
and the process of evolution that shapes complex systems on macro scale (
ecological
memory)
examples of
complex systemzy
ecosystems, economies, transportation networks, neural systems (brain)
dimensions of ecological complexity
spatial,
temporal
, and
structural
spatial
distribution defines the spatial
extent
of a population/ecosystem
spatial complexity example
vegetation patterns
and
species distribution
edge effect
more
biodiversity
at the borders of
2
or more habitats
ecotone
wide
border
edge
marks the
perimeter
of each patch
border
place where the edge of one
patch
meets with the
edge
of another
temporal
the time series of
different
variables describing the
dynamics
of a system
temporal complexity can be derived from
changes in population
effects of changes in climate and weather
extinction rates
invasion rates
succession
(primary and secondary)
predator
and
prey
cycles
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