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Species:Area

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Species:Area. Colonization of mangroves ... Species:area: Phtophagous insects. The Equilbrium Theory of Island Biogeography ... or log S = z logE Log k ... – PowerPoint PPT presentation

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Title: Species:Area


1
SpeciesArea
2
Colonization of mangroves
3
Reduction of Area
4
Colonizing Mangroves Experiment
5
Species Area
6
Species Area
7
Species area
8
Species Area and Distance
9
Species area Habitat
10
Insects on trees
11
Models of stability
12
Animals and trees
13
SpeciesArea
14
SpeciesArea
15
Speciesarea Phtophagous insects
16
The Equilbrium Theory of Island Biogeography
17
Test of Island Biogeography Theory
18
Area or habitat?
19
Area or Habitat?
20
Dan Simberloff
21
Species richness and time
22
Values of z
23
Islands and Mainland
24
Distance and species richness
25
Remoteness and Species Richness
26
Colonisation of Surtsey
27
Herbivorous Insects on Bracken
28
Species richness and complexity
29
Immigration and Extinction
30
Repeated Recolonization
31
Endemism Norfolk Island
32
Richness of native and introduced tree species
33
Coastal data, Australia and Norway
34
Deep-sea data from New Jersey, USA, Grassle
Maciolek 1992
35
Southern Norway, Jøssingfjord
36
Snorre oil field, Norway
37
Port Phillip Bay, Australia
38
Bass Strait, Australia
39
Species diversity of coastal sediments
40
Sanders Diversity Data (1968)
41
SpeciesArea plot of Sanders data (from Abele
Walters 1978)
42
Hypotheses of the SpeciesArea Relationship
(Rosenzweig 1995)
  • Larger areas contain greater numbers of species
  • Larger areas contain a greater number of habitats
  • Larger areas have greater numbers of individuals
    and hence of species also

43
Frigg oilfield, Norway
44
Predicting local species richness from area
  • The most widely used speciesarea relationship
    is S CAz where S number of species, C and Z
    are constants and A area.
  • There is however, debate as to whether the
    speciesarea relationship is
  • LogS LogC X(LogA) or
  • S C X(LogA).
  • For the Frigg data the latter is the best fit and
    the regression S 152.69 230.88(LogA) gives an
    R2 of 0.9975.

45
Predicting local species richness from the
species area relationship
46
Species area relationship for benthos of the
Norwegian continental shelf
47
Area of Shallow and Deep Sea(from Rohde 1997)
48
Relative Surface Areas of Oceans(from Rohde 1997)
49
The energy-productivity hypothesis (Wright 1983)
  • The available energy is maximal in the tropics
    and shows a decline polewards and this gradient
    is also shown in species richness.
  • The correlates of energy are measures of heat
    such as mean annual temperature, mean summer
    temperature, sea-surface temperature or
    evapotranspiration

50
Wrights energy-productivity hypothesis
Wright based his arguments first on the
assumption that the total number of individuals
of all species at a site should be proportional
to its area giving   N ? A  where ? is the
total density of individuals per unit area, and N
is the total number of individuals which is
proportional to the total production of available
energy at the site, E.   This gives
N ? E where ? is
the number of individuals supported per unit rea
of energy.   This gives a species-energy curve
S kEz   or log S z logE Log k   where k
is a constant related to ? and S and z are as in
the species area relationship.  
51
Energy hypothesis
52
Mean Annual SST and Diversity(from Roy et al
1998)
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