Title: Species:Area
1SpeciesArea
2Colonization of mangroves
3Reduction of Area
4Colonizing Mangroves Experiment
5Species Area
6Species Area
7Species area
8Species Area and Distance
9Species area Habitat
10Insects on trees
11Models of stability
12Animals and trees
13SpeciesArea
14SpeciesArea
15Speciesarea Phtophagous insects
16The Equilbrium Theory of Island Biogeography
17Test of Island Biogeography Theory
18Area or habitat?
19Area or Habitat?
20Dan Simberloff
21Species richness and time
22Values of z
23Islands and Mainland
24Distance and species richness
25Remoteness and Species Richness
26Colonisation of Surtsey
27Herbivorous Insects on Bracken
28Species richness and complexity
29Immigration and Extinction
30Repeated Recolonization
31Endemism Norfolk Island
32Richness of native and introduced tree species
33Coastal data, Australia and Norway
34Deep-sea data from New Jersey, USA, Grassle
Maciolek 1992
35Southern Norway, Jøssingfjord
36Snorre oil field, Norway
37Port Phillip Bay, Australia
38Bass Strait, Australia
39Species diversity of coastal sediments
40Sanders Diversity Data (1968)
41SpeciesArea plot of Sanders data (from Abele
Walters 1978)
42Hypotheses 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
43Frigg oilfield, Norway
44Predicting 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.
45Predicting local species richness from the
species area relationship
46Species area relationship for benthos of the
Norwegian continental shelf
47Area of Shallow and Deep Sea(from Rohde 1997)
48Relative Surface Areas of Oceans(from Rohde 1997)
49The 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
50Wrights 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. Â This gives
N ? E where ? is
the number of individuals supported per unit rea
of energy. Â 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. Â
51Energy hypothesis
52Mean Annual SST and Diversity(from Roy et al
1998)