The Target Organism in Regard to PAES
We also need to establish a precise goal for answering the original question.
Perhaps the most challenging aspect of simulations such as these are in estimating
the minimum PAES needed to arrive at an organism that has a fully functioning
structure that converts an alternate energy source. Although the original question
allows that the target organism may still rely on sunlight as a primary energy
source, a structure must exist within the cell that converts enough of the secondary
energy source to compensate for the energy needed to maintain the structure. I
see no other option than to offer a very wide range of possibilities, leaving refine-
ments to those readers who have greater knowledge of biology than I have. I
suggest that for the target organism to be reached, the PAES of this organism will
be within the following range:
Minimum: 100 PAES
Mean: 5,000 PAES
Maximum: 10,000 PAES
We’ll assume that 1000 saturation cycles equals one year. Should about three cell
cycles per day seem unreasonable, let “year” simply refer to 1000 cell cycles.
We now need a formula or system that produces a reasonable increase in population
figures for groups that have a higher IS than the greatly predominant organisms in
in the immediate environment. This formula will need to make only a very small
increase in population, in one saturation cycle, when the smaller group has only a
one point advantage in IS over the predominant population. (Actually, the smaller
key group competes according to the average IS of the immediate environment.
For example, should a small group compete well over a long period of time and
eventually become dominant in numbers, it will then be competing against itself
more than it will be competing against what has become the minority group.) On
the other hand, the formula needs to allow for a greater increase per saturation cycle
should a group have many points advantage in IS over its average competition.
It seems reasonable to assign one percentage point to each degree of IS over or
under the average IS of the competition. For example, if a group has a one point
IS advantage over the general population, the group size will increase at 101% per
saturation cycle rather than remaining at the same size.
A Closer Look at the Attributes
When considering principles of competition, it should be noted that a “group” does
not consist of 100% genetically identical organisms. For example, “2-A” consists
of organisms that all originated from the original “1-A” population. Each of the
“2-A” organisms received one non-harmful mutation that slightly improved the
ability to survive and pass on attributes to future generations. The point is that
these organisms are scattered through the oceans at random. They are, at first, com-
peting against the original population and not against themselves. Although the
details of the mutational changes are different for each organism, the overall average
effect allows us to predict how “2-A” grows in a saturated environment. It is the
attributes that distinguish an organism as a member of a group such as “2-A”, not
specific genetic mutational changes. This is what allows us to calculate population
growths without getting bogged down in specific biological complexities. Whatever
genetic mutation takes place in any organism, its effect, in terms of IS and PAES,
will place it into a group and the average IS and PAES of the group determines how
its population will change as it competes with other groups.