I think I am getting out of this discussion because evolution seems to complicate an already complicated system, namely the Earth.
This can all be reduced to physics and chemistry, so what is the point of trying to dissect very large systems until we have supercomputers that will one day explain it for us?
Everything can be reduced to physics; but we will never have supercomputers that will explain it for us, because physics doesn't work like that. Even "simple" physical systems such as the atmosphere are intractably complex; You can't model the atmosphere sufficiently well to provide a reliable weather forecast more than a few days ahead, no matter how much computing power is available, because the number of external influencing factors is huge. It turns out that to accurately model even such a simple system, you practically need to model the entire observable universe - and to do that to a sufficiently fine resolution takes an entire observable universe to do - and even then only gives you output at the rate of one day per day, so the forecast never arrives before the event being 'forecast'.
The problem for the vastly more complex interactions that we call 'biology' are even worse.
Fortunately, we don't need to do the physics to grasp the chemistry - so you can be an effective organic chemist without knowing any subatomic physics; And we need not do the chemistry to grasp the biology - so you can be an effective evolutionary biologist without knowing any chemistry. That's why the theory of evolution was able to pre-date the discovery of the structure of DNA.
As
Kenneth G Wilson showed, it is possible to understand phenomena at large scales without knowing anything about the underlying, smaller scale, phenomena. If this were not true, then science as we know it would be impossible - Newton could never have developed his theory of universal gravitation, without first developing Quantum Field Theory, for example; and QFT would be incomprehensible, because we do not (yet) know what the underlying physics is at scales below that of the Standard Model particles.
Having an understanding of the underlying causes of a behaviour at a given scale is very useful; But it is, fortunately, not necessary in order to develop solid theories that make useful predictions at whatever scale we are interested in. And it is frequently necessary to use simplifying aggregations in order to talk about large scale phenomena at all - If evolutionary biology worked by analysing the wavefunction of every Standard Model particle in the biosphere, then evolutionary biologists would never get anything done at all.