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How Nature Defies Math in Keeping Ecosystems Stable (quantamagazine.org)

Paradoxically, the abundance of tight interactions among living species usually leads to disasters in ecological models. New analyses hint at how nature seemingly defies the math. Veronique Greenwood, writing for Quantamagazine: Behind the beautiful facade of a rainforest, a savanna or a placid lake is a world teeming with contests and partnerships. Species are competing for space, consuming one another for resources, taking advantage of one another's talents, and brokering trades of nutrients. But there's something funny about this picture. When ecologists try to model ecosystems using math, they tend to find that the more interactions there are among species, the more unstable the system. For a simple ecosystem model to be stable, all the interactions among its species must be in perfect harmony. Maintaining that balancing act gets much harder, however, as the number of coupled species and the strengths of their interactions rise: Any disturbance or imbalance for one couple ripples outward and sows chaos throughout the network.

Bring in mutualisms, relationships in which species contribute directly to each other's survival, and things can really fly off the handle. Pairs of organisms that live off each other sometimes do so well in the mathematical simulations -- thriving exponentially in extreme cases, in what Robert May, the theoretical ecology pioneer, once called "an orgy of mutual benefaction" -- that everything else can go extinct. It seems unlikely that real ecosystems are quite this flimsy. In a new paper in Nature Communications, a pair of theoretical ecologists at the University of Illinois explored more precisely how the give-and-take in mutualism affects ecosystem stability and how, under the right conditions, it might contribute to it. Their result joins previous work in suggesting how real-world communities manage to be more resilient than the models imply.

103 comments

  1. Only The Stable Ones Are Still Around by Bender0x7D1 · · Score: 4, Insightful

    All of the unstable ecosystems have failed, and their participants extinct or changed. That's the crazy part of hundreds of millions or billions of years of adaptation and evolution and environmental change - there are probably trillions of ecosystems that became unstable and collapsed - they just happened long before scientists showed up to track things.

    Which isn't to say that collapses can't happen again (or that ecosystems don't fail on a daily basis) but the ones still around have whatever "secret sauce" nature requires for those groups to survive and even thrive. So far...

    --
    Reading code is like reading the dictionary - you have to read half of it before you can go back and understand it.
    1. Re:Only The Stable Ones Are Still Around by Cmdln+Daco · · Score: 1

      The point is that mechanistic analysis, in the form of 'modeling' can never delve far enough into the real world. Not some warmed over 'survival of the fittest' pabulum.

      There are trillions of interactions within 'the ecosystem' to a degree that it simply can't be described or completely understood. To the degree that it's a little conceited to call it 'the ecosystem' as if we have enough grasp of it to even call it a system.

    2. Re:Only The Stable Ones Are Still Around by alvinrod · · Score: 2

      I'm not sure if that's necessarily a good take. Every ecosystem is always in flux over time. Even if humanity weren't here, things would constantly be changing and the planet has undergone massive ecological upheaval multiple times throughout history. Ecosystems constantly get destabilized and the creatures that live in them adapt. The population might be heavily culled, but whatever is left is going to have better suited offspring.

      The reality is that DNA that's crap at surviving doesn't stick around to be passed on to future generations. If predators start to move into an area where previously there weren't any, eventually all of the prey animals will adapt to their presence or go extinct and be supplanted by prey animals that do a better job of not getting eaten.

      The models are probably incomplete and missing a lot of data, which is why they tend to go to hell before long. Something in the model gets caught in a feedback loop and dominates the model, but that behavior doesn't occur in nature for some reason. However, the areas where the model breaks should tell you exactly where there's something that either isn't well understood or isn't being taken into consideration.

    3. Re:Only The Stable Ones Are Still Around by arth1 · · Score: 1

      Yes, the scientists here appear to have forgotten evolution, in several ways. Both, as you say, how all the failures are quickly forgotten and taken over by the successes, but also that the lifeforms that compete do not stand still; they evolve continuously, adapting to the unstable ecosystems.
      Mathematical models without generations, where the offspring is always different from its parents, are not going to reflect what happens in nature.

    4. Re: Only The Stable Ones Are Still Around by Anonymous Coward · · Score: 0

      They can be modeled, but most models are horribly crude and make too many overly broad assumptions.

    5. Re: Only The Stable Ones Are Still Around by HiThere · · Score: 1

      That's actually my assumption to, but I'd be less sanguine about "can be modeled", as model implies that you have appropriately included all the important features, and this is an area where we don't really know what all is important. It could turn out that the survival of a visible ecosystem is dependent on the presence of a particular mix of microorganisms, and we don't even know most "species" of bacteria.

      --

      I think we've pushed this "anyone can grow up to be president" thing too far.
    6. Re:Only The Stable Ones Are Still Around by HiThere · · Score: 1

      I think the best guess is that they are not only incomplete and missing a lot of data, but some of the assumptions that they do make are probably wrong. Figuring out which ones, though, won't be easy.

      --

      I think we've pushed this "anyone can grow up to be president" thing too far.
    7. Re:Only The Stable Ones Are Still Around by HiThere · · Score: 1

      Ecosystems are large things, and don't arise quickly (though they can move location quickly on an evolutionary time scale.)

      Because of this an eco-system collapse can be dramatic. It can also be sudden, taking only days, though that's a rather extreme case.

      Part of the problem here is that eco-systems are invisible. All we can see are their component parts, and not all of them. So we often don't notice when they are tottering on the edge of collapse, but let me give you an example of one.

      Aphids are mutualistic with ants. They also tend to spread by cloning. I've read one estimate that there are only seven individual aphids in the entire US, if you count clones as a single individual. The ants protect the aphids, and the aphids feed the ants. They are a major food source for the ants. If a contagious disease arose that killed the aphids, they may well not have enough genetic diversity to survive as a species. This may drive a number of ant species into extinction. The ants aerate the soil, increasing the fertility of the land (as well as eating the plants that grow on the land). When the ants die off, a new species may move in that doesn't aerate the land, but does eat the plants. Or it may be another species of ant that does things differently, perhaps leafcutter ants. These are likely to kill plants that the aphids only bothered, because their depredations are more localized. Etc.

      But note that we can't see this chain of interactions. And I could easily be wrong about how the details would work out. But this collapse of ant species could already be in process (e.g., say, the disease spreading between aphids, but not yet largely fatal). It could be a large enough collapse in the making that hundreds of acres of land in a few places would temporarily become "dead zones". And we wouldn't know.

      Now I don't believe my own model, but I also don't disbelieve it. It's possible. It could leave traces in the paleontological record. But from those traces we'd never be able to decipher what happened, only that something did, and some species went extinct. Not that there was a small ecosystem collapse.

      --

      I think we've pushed this "anyone can grow up to be president" thing too far.
  2. Of course by Anonymous Coward · · Score: 0

    Of course "ecosystems are more stable than implied." In fact, one way of reading their entire findings is simply to say that life thrives from chaos. Balance derives itself on chaos. It's almost poetic in a way.

    But this is how the entire universe is made. Chaos ensures that trillions+ combinations of life, mass, etc are attempted--which forms the basis for life.

    In a way though, their findings are quite obvious then.

    1. Re: Of course by Anonymous Coward · · Score: 2, Interesting

      Chaos is merely order beyond comprehension.

    2. Re: Of course by Cmdln+Daco · · Score: 2

      Comprehension is merely the delusion that complete understanding could ever occur.

    3. Re: Of course by Anonymous Coward · · Score: 0

      Title this study - "The hubris of man"

  3. So...incomplete models? by grasshoppa · · Score: 4, Insightful

    Is there anything news worthy about the notion that our models might be incomplete?

    --
    Mod me down with all of your hatred and your journey towards the dark side will be complete!
    1. Re:So...incomplete models? by Luckyo · · Score: 1

      No, but considering the incredible amount of young people who seem to be genuinely indoctrinated to think that "scientific modelling" is the same thing as "truth", it may be a necessary reminder that modelling is one of the least accurate forms of scientific quest for better understanding of reality.

    2. Re:So...incomplete models? by Entrope · · Score: 4, Insightful

      "Remember that all models are wrong; the practical question is how wrong do they have to be to not be useful." - George E. P. Box

    3. Re:So...incomplete models? by Luckyo · · Score: 1

      I'm still not going to call you back after fucking you in that thread. No matter how much you bitch about it.

    4. Re: So...incomplete models? by Anonymous Coward · · Score: 0

      I don't think young people are as you put it. There was a full generation or two that thought all natural was bad. Margarine, canned, microwave meals, etc. These were considered the height of healthy.

    5. Re:So...incomplete models? by TuringTest · · Score: 2

      ''Is there anything news worthy about the notion that our models might be incomplete?''

      Yes, if it also provides the seed for an idea on how to make one particular model more complete and therefore more accurate.

      --
      Singularity: a belief in the "God" idea with the "demiurge" relation inverted.
  4. Re:Hint: Applies to global warming as well by Luckyo · · Score: 2

    If you want to go that way, you got the wrong gas. It's a giant machine built to generate and consume O2. We can see this clearly in the oxidization of atmosphere when chlorophyll was introduced and spread among the early life forms on the planet, which enabled existence of essentially all other life (barring the few exceptions that exist in closed systems like subterranean volcanoes).

    CO2 emissions by these life forms were utilization of the fact that atmosphere was now rich in O2. Your version puts the cart before the horse.

  5. Stability is a fallacy by Anonymous Coward · · Score: 0

    Ecosystems are not stable. They are in constant flux and adjustment.
    The question should be how they exist in a recognizable manner while in flux.

    1. Re: Stability is a fallacy by jd · · Score: 1

      Beware of confusing dynamic equilibria with static equilibria. Both are stable, but in different ways.

      --
      It's a small world and it smells funny; I'd buy another if it wasn't for the money; Take back what I paid (SoM)
  6. Nature doesn't defy math...your model is deficient by El+Cubano · · Score: 2

    When I teach my students about the MVC paradigm I describe the model component this way:

    The model is the simplified representation of reality that describes those things which are important to your application.

    For example, a maintenance work scheduling application for a school probably needs to know how many display screens are in a classroom, and maybe their positions. Suppose that the decision was made that it does not need to know the make, model and version of the multimedia control panel at the instructor workstation.

    Now, if somebody came along and tried to make maintenance purchasing decisions to replace the multimedia control panel based on just the number of display screens in the classroom, they might find the decisions to be faulty because of the lack of information. That does not mean that the lecture hall defied the model. It just means that when the model was developed, the important aspects of the reality being modeled were not considered properly and some were left out. In this example, somebody would need to walk to the classroom and look at the actual control panel to be replaced and gather information on that.

    It could be that perhaps the researches described in the article need more detailed models to accurately describe the behaviors they are interested in for these systems.

  7. Re: Hint: Applies to global warming as well by Anonymous Coward · · Score: 0

    Life can exist without O2. The fact another revolutionary path now utilizes "waste" O2 from CO2 consuming organism is a bonus. Please see the Great Oxygenation Event.

  8. We have to decide WHICH math to use by Applehu+Akbar · · Score: 2, Insightful

    Math does not describe the universe we inhabit, but all possible universes. We have to search to find which mathematical system accurately describe what we see around us.

    I'm sure there is a mathematics that properly describes ecosystems. When we one day find it, the practical implications will be enormous. It will explain why all those activist predictions of species collapse and environmental disaster in response to this or that specified kind of external pressure keep failing to happen. It could tell us more about where else in the universe life could exist. If it uncovers negative climate feedbacks we never know were occurring, it will finally lead to accurate climate models.

    1. Re:We have to decide WHICH math to use by Zorpheus · · Score: 1

      Yes, does anyone believe that climate models work better than these ecosystem models? They have the same problem, they are never stable.
      I am not saying that climate change isn't a fact. The greenhouse effect of CO2 is quite straightforward physics. But I doubt that the complex climate models are much better than the simplest formulas. We know something will happen. And it is probably better not to find out what. In the long run the Earth will most likely fix itself, but in the short run it can go through all kind of unpleasant changes. Historically humanity develops best in the quiet phases of climate changes, we live in such a quiet time.

    2. Re: We have to decide WHICH math to use by jd · · Score: 1

      We've had such maths since 1968. Works fine, when applied correctly. Edward Lorenz studied it extensively, as did James Lovelock. Their models all work fine and Lovelock's models increase in stability exponentially as you scale them up.

      --
      It's a small world and it smells funny; I'd buy another if it wasn't for the money; Take back what I paid (SoM)
    3. Re:We have to decide WHICH math to use by Krishnoid · · Score: 1

      I'm sure there is a mathematics that properly describes ecosystems.

      Chaos theory?

    4. Re:We have to decide WHICH math to use by Anonymous Coward · · Score: 0

      Models don't have to be of stable systems to work. Anything can be modeled. Well studied and complex models also keep track of their potential error. Think about hurricane tracks, they have a wide zone where the hurricane has a possibility to go, and the most probable course some where in between. These models keep track of their maximum error and can tell you a lot about the best and worst case scenarios even if each isn't very probable.

    5. Re:We have to decide WHICH math to use by SqueakyMouse · · Score: 1

      Earth will most likely fix itself, but in the short run it can go through all kind of unpleasant changes. Historically humanity develops best in the quiet phases of climate changes, we live in such a quiet time.

      What does it mean for earth to fix itself? That the environment remained conducive to life and for ecosystems to remain sufficiently stable in the past is guaranteed by the anthropic principle. That is we could not have evolved to observe it unless the conditions in the past facilitated our evolution. The anthropic principle says nothing about the future however. In the long run (~billion years) the sun will get hot enough to vapourise the oceans. Currently, temperature rise is unusually rapid. It would be nice to believe that everything will be hunky dory in between, because fate will throw at us some cooling mechanism. How is this anything more than wishful thinking though?

    6. Re: We have to decide WHICH math to use by Zorpheus · · Score: 1

      CO2 levels take about 10000 years to get back to normal. Well, I think the earth will find a stable state faster than that, once the co2 emissions go down. How many people earth can feed in this time is the important question, which I think is hard to answer.
      I think it could also take longer until things get back to what it was, if the temperature rise triggers other changes. But such slow changes shouldn't matter.
      Well, there is a reason why the changes within a century are always discussed. These are the ones that are relevant.

    7. Re: We have to decide WHICH math to use by c6gunner · · Score: 0

      How many people earth can feed in this time is the important question, which I think is hard to answer.

      It can be broadly answered with "more". Increased CO2 is a good thing for the things we eat. So is more heat. Lack of water might become an issue but we can solve that with desalination and irrigation, so it's only really a problem for dirt poor places which can't manage to implement the needed technology. Which is the crux of the matter; global warming is primarily a problem for places which are already pretty shitty, and will get much shittier. We will either have to help them, or we will be facing waves of migrants and refugees which make the recent ones look like a slow trickle in comparison.

  9. You're probably missing 99.999% of the influences by Anonymous Coward · · Score: 0

    Everything in an ecosystem is very finite and you're only modelling the high level interactions. When these interactions tell you that something should grow unbounded, you've probably overlooked a resource bottleneck somewhere. We can't even enumerate all possible 128 bit numbers before the end of the universe and you think you can model nature with sufficient detail. What kind of tomfoolery is this?

  10. Re:Hint: Applies to global warming as well by Applehu+Akbar · · Score: 1

    No, when photosynthetic plants came into existence and started consuming CO2, their waste product was O2. As it accumulated in the environment it created a "market" for organisms that could inhale O2 and convert it back into CO2.

  11. Domestication as mutualism by clawsoon · · Score: 3, Insightful

    Bring in mutualisms, relationships in which species contribute directly to each other's survival, and things can really fly off the handle. Pairs of organisms that live off each other sometimes do so well in the mathematical simulations -- thriving exponentially in extreme cases

    This immediately makes me think of humans and the species we have domesticated. It's not just humans who are thriving exponentially and driving thousands of other species to extinction. It's humans plus wheat, rice, cows, pigs, and a handful of other species. Millions of square miles of the most productive land in the world have been taken over by us and our mutualists. The group of us seem like the perfect example of what they've found in their simulations.

  12. Re:Hint: Applies to global warming as well by Pseudonym · · Score: 1

    Nobody doubts the Earth will survive. Humans might not, but the planet will be fine.

    --
    sub f{($f)=@_;print"$f(q{$f});";}f(q{sub f{($f)=@_;print"$f(q{$f});";}f});
  13. Crap headlines by mhkohne · · Score: 5, Insightful

    I hate headlines like this. Nature didn't defy anything. Nature pointed out that the model being used wasn't anything like up to the challenge.
    This is, frankly, perfectly normal.
    The only people who are surprised are the headline writers who apparently can't remember the last x thousand times that something was thought to be understood turned out not to be.

    --
    A thousand pounds of wood moving at 300 feet per minute. Don't get in the way.
  14. Re:Hint: Applies to global warming as well by Anonymous Coward · · Score: 0

    That's why we should continue to strive to build intelligent robots. They will be our children, populating the Earth and the solar system and beyond. We humans will soon (in galactic terms) be gone, but the robots can remember that we once were.

  15. Lotka volterra models suck by Anonymous Coward · · Score: 0

    Maybe your model is just plain wrong.

  16. Constant change by nw_rad · · Score: 1

    Real ecosystems are constantly adjusting. It sounds as if the model is not sophisticated enough to deal with dynamic systems.

  17. Failed model, not cheating by Anonymous Coward · · Score: 0

    Maths isn't what the universe speaks. Maths is an abstraction.
    The model is the failure, not that the universe is cheating with a calculator and spreadsheet.

    There is no such thing as "stable". It's a constant flux.
    Humans were nearly wiped out several times. We were considered endangered at one point.
    No scientist worth their weight in salt would ever say anything is stable. It isn't. Not the climate, not Earths orbit, not the sun (or any stars) eventual death, nothing.
    The tiniest little things can bubble up to insane amounts of chaos very quickly. But in doesn't in reality because it has feedback systems all bouncing off each other constantly. These models don't take in to consideration that external systems in these models all react and adapt to each other.

    Unless you are modelling every single animal on the planet, your model is deficient.
    You can't model a system as complex as Earth with less numbers. It doesn't work and anyone that tries to monumentally fails at statistics and are the same kinds of retards that try to take a "random" (selected!) sample of 100 people and apply it to an entire country. (see beauty therapy industry, fucking morons)
    IT DOESN'T WORK.
    EVERY single separate instance of an animal matters on some level. Even their absences matter. A hermit that never interacts with any other animal (for whatever reason) still counts because its influence isn't with the animals, but the environment the animals are in. It still has an indirect footprint somewhere along the chain.
    All of them matter. You can't half ass it.

    This is the reason we can't predict the weather at a reasonable level past 30-60 minutes.
    We simply cannot measure every cubic meter of the planet. That's the resolution you would need to at least get decent results. Vertical matters just as much as the ground level.
    This is why I laugh and worry about these retards proposing geoengineering projects. We can't even begin to imagine what effects they would have.
    We already indirectly geoengineered with our concrete jungles, and those haven't helped much with their own micro-climates 10 miles around said jungles.
    The models are wrong.

    1. Re: Failed model, not cheating by jd · · Score: 1

      Maths is exactly what the universe speaks. Dig beneath matter and energy, and you'll find maths alone, the most fundamental form of the universe.

      --
      It's a small world and it smells funny; I'd buy another if it wasn't for the money; Take back what I paid (SoM)
    2. Re:Failed model, not cheating by SqueakyMouse · · Score: 2

      Unless you are modelling every single animal on the planet,

      Even the butterflies? What effect does a butterfly have, I wonder?

  18. Re:Hint: Applies to global warming as well by Anonymous Coward · · Score: 1

    Your intelligent robots are still just robots, ridiculously simplistic compared to even a single animal cell and not alive by measure. Entropy will kill them in non-geographic time. You are describing the path to a dead, desolate world, not the legacy of humanity.

  19. Color Me Shocked.. by NicknameUnavailable · · Score: 1

    So it's tough to boil down a huge parallelized system with radically different compute nodes to a single Human-readable equation? Well, can't say that's shocking.
    Oh..you were defining "Human readable" as "ecologists and climate scientists can understand it"...oh...ahahahahaha.
    Seriously though, this result would be obvious to anyone with distributed system design experience. We don't have the computational power on Earth (outside of the actual ecosystem) to model the whole system. Hell, even with a multi-acre closed environment like Biosphere 2 it still took decades to get a self-stable model working with more limited nodes (species, interactions, resources, etc.) Next someone will post an article acting shocked that they can't model the whole universe on an Arduino...

  20. Nature does not defy the math by hazardPPP · · Score: 1

    Rather what we think "the math" is, is wrong. Nature is right. Always

    1. Re:Nature does not defy the math by Anonymous Coward · · Score: 0

      Our models are wrong, or the system is too complex to realistically model. Nature has no concept of "right" or "wrong", those are human ideas.

    2. Re: Nature does not defy the math by jd · · Score: 1

      Our models are right. They work just fine when applied right, as shown by Daisyworld getting more stable as you increase species and decrease abstraction.

      A.K. Dewdney's Bugs shows the same behaviour as well.

      The problem is the way they're being applied. They're non-linear dynamic systems that are sensitive to initial conditions, non-differentiable and turbulent.

      As you'll be aware from Gleik's book on Chaos, you have to be within certain parameters before this becomes a dynamic equilibrium. Outside of that, it won't work.

      --
      It's a small world and it smells funny; I'd buy another if it wasn't for the money; Take back what I paid (SoM)
  21. Re:Hint: Applies to global warming as well by arth1 · · Score: 1

    If you want to go that way, you got the wrong gas. It's a giant machine built to generate and consume O2.

    No, life thrived for about half a billion years before the oxygen catastrophe.

  22. Chaos Theory by Anonymous Coward · · Score: 0

    Any disturbance or imbalance for one couple ripples outward and sows chaos throughout the network

    That's literally why it's called Chaos Theory.

  23. Quite the opposite by jd · · Score: 2

    Most ecologists I've read the work of have said that the more interactions, the more stable. This is because the models that work best - nonlinear dynamics that are sensitive to initial conditions - are only stable if you have large numbers of Strange Attractors.

    Daisyworld is the best example. As you increase daisy species from two to 200, stability goes up exponentially. Provided, and this is important, three conditions are met.

    First, each component must possess a negative feedback loop. It can possess positive feedback as well, but it must have negative feedback.

    Second, for all species A, there must exist at least one species B with whom at least one form of resource consumption or other pressure is in a closed loop.

    Third, you need large numbers. Simulations of a goldfish pond filled with five examples each of a hundred species won't be stable.

    You can simulate twenty, two hundred or two thousand species on your computer and get absolutely stable (albeit chaotic) results, if you do it right - i.e.: the way you'd get in a naturally balanced forest, for example.

    What the researchers have shown is that you can make this entire dynamic violently unstable by reducing scale, breaking cycles or doing other stupid things. That chaotic systems aren't self-restoring if they're messed up.

    --
    It's a small world and it smells funny; I'd buy another if it wasn't for the money; Take back what I paid (SoM)
  24. Re: Nature doesn't defy math...your model is defic by jd · · Score: 1

    Natural models have worked fine and have been scaleable since 1968.

    The model you described is discrete time. Nature doesn't use discrete time so much, although you can simulate it with a very short time base or by having each entity on an independent concurrent thread. Either way, you get a smoother time.

    This is important. The equations of the models are non-differentiable at any point because there's no deterministic value between any two points. For that reason, there's no integral. If there's no integral, then it's meaningless to take aggregate time as though it meant anything.

    The model isn't the problem, it's aggregating time that's the problem.

    --
    It's a small world and it smells funny; I'd buy another if it wasn't for the money; Take back what I paid (SoM)
  25. Re: Hint: Applies to global warming as well by jd · · Score: 1

    On the contrary.

    The models are stable and scaleable. And they show that the current destabilization through deforestation plus CO2 levels is going to lead to collapse.

    --
    It's a small world and it smells funny; I'd buy another if it wasn't for the money; Take back what I paid (SoM)
  26. Political Science Applications by Anonymous Coward · · Score: 0

    Any disturbance or imbalance for one couple ripples outward and sows chaos throughout the network.

    Strongly connected networks do easily lead to chaos also in the real of human politics. WW1 showed that. Maybe the eventually working models of ecosystems could be applied in the creation of more stable political systems in the future?

  27. Stability or stagnation? by Krishnoid · · Score: 1

    What is 'stability' in this context? It seems like biologists/ecologists would define it differently from physicists and mathematicians. Maybe chemistry would be somewhere in the middle?

  28. With a shit-eating title like this by fredrated · · Score: 1

    I won't even read the summary

  29. Re:Hint: Applies to global warming as well by Luckyo · · Score: 1

    It did. And then it was snuffed out by the extinction event that was caused by much more energetic lifeforms that outcompeted. If you don't win the competition for survival, you die.

    That is the way of evolution. Always has been. Something that young city-dwelling folks need harsh reminder of, as life in many of the modern Western cities has allowed many to forget that the cycle keeps going, and doesn't care about their feelings. And it will keep going long after they are devoured by their own gut bacteria.

  30. Re:Hint: Applies to global warming as well by Luckyo · · Score: 1

    >their waste product was O2

    Great. Now note the ORDER:

    >Basically a giant machine purpose built to generate and consume CO2.

    Do you understand where you and original poster went wrong?

  31. Nothing newsworthy, but... by mschaffer · · Score: 2

    Yes, there is nothing newsworthy about the notion and the scientific journals are full of incomplete models. There is nothing wrong with that as long as people realize that the models are incomplete. It becomes a problem when the newspapers start spouting off about how some incomplete model predicts something---and something needs to be done NOW about the predicted outcome.

  32. Re:Hint: Applies to global warming as well by Applehu+Akbar · · Score: 1

    Before oxygen consumers evolved, plant life led to steadily accumulating O2 in the atmosphere, a concentration eventually reaching 35% in the Carboniferous:
    https://en.wikipedia.org/wiki/...
    After that, animals came to the rescue and began consuming more oxygen, the percentage ticked down to today's 21%.

  33. Thought Experiment J5, photons from electrons by Anonymous Coward · · Score: 0

    If you've missed any, please step back and read the earlier ones first.

    Turn on a torch, light comes out. If light is spinning dipoles and electrons are spinning dipoles, what happens? How exactly does the act of flowing electrons turn a bound electron into a photon (which in the dipole model is a cloud of coherent spinning dipoles).

    This one takes you through it. You need at minimum J3, the explanation of what an electron looks like, and J4 the harmonic binding.

    --------------------

    Postulate A: Mass isn't real
    Postulate B: the energy in light is also 'kinetic'
    Postulate C: Light bind force must be cyclical
    Postulate D: only 2 fundamental particles are possible
    Postulate E: the only force is electric
    Postulate E2: The binding force (Postulate C) is electric
    POSTULATE F: The speed of light is obvious
    POSTULATE G: Time is measured in spins
    POSTULATE H: All dipoles are equal, matter,even red and blue light
    Postulate I1: Donut Particles
    Postulate I2: Donut Particles are themselves dipoles
    Postulate I3: Anti-particles
    Postulate I4: Bigger particles twist and break
    Postulate J0: How light binds to matter
    Postulate J1: A Slit is a phase sorter
    Postulate J2: Gravitational lensing is just diffraction
    Postulate J3: Electron is a Donut Sandwich
    Postulate J4: Binding force is harmonic electric
    Postulate J5: Photons from Electrons
    Postulate K: How fast do forces propagate?
    Postulate L:

    ----------

    Postulate J5: Photons from Electrons

    From Postulate J3 we have an electron as a 2F donut, a captured monopole, and 2F anti-donut.
    From Postulate J4 we have an (undefined) harmonic binding function which holds the electron in place relative to the nucleus.
    Since we have two donut particles (electron and nucleus), and these are H2 particles, the binding will be at the second harmonic

    [BIND B POSTULATE].

    And from [BIND Y POSTULATE] in J4, our electron is wobbling, from its binding to the 2F donuts.

    What happens when we have electrons running through an electric circuit past these bound electrons.

    The binding from the electron to the nucleus is a H2 bind [BIND B POSTULATE].
    The push from the electronics is H0 monopole to H0 monopole. i.e. it's pushing the *inner* captured monopole.
    But the nucleus is holding the outer *wrapper* donuts.

    i.e. we can push the monopole out of the donut wrapper it is in.

    If you push out the monopole from between the F2 donut and F2 anti-donut, there is nothing holding them apart.

    Particle + anti-particle = photon

    i.e. we have a collapse of the binding of the monopole, and it emits a photon.
    Postulate I, explains how a particle, and anti-particle from a cloud of spinning dipoles.

    The photon is from the collapse of the wrapper of a monopole.

    Postulate A: https://science.slashdot.org/comments.pl?sid=12866516&cid=57598384
    Postulate B: https://science.slashdot.org/comments.pl?sid=12869268&cid=57599376
    Postulate C: https://news.slashdot.org/comments.pl?sid=12870718&cid=57604074
    Postulate D: https://hardware.slashdot.org/comments.pl?sid=12877158&cid=57615478
    Postulate E & E2: https://hardware.slashdot.org/comments.pl?sid=12877158&cid=57615516
    Postulate F: https://hardware.slashdot.org/comments.pl?sid=12877158&cid=57615700
    Postulate G: https://hardware.slashdot.org/comments.pl?sid=12877158&cid=57615906
    Postulate H: https://hardware.slashdot.org/comments.pl?sid=12877158&cid=57616274
    Postulate I1: https://tech.slashdot.org/comments.pl?sid=12881348&cid=57620872
    Postulate I2: https://tech.slashdot.org/comments.pl?sid=12881348&cid=57620930
    Postulate I2: https://tech.slashdot.org/comments.pl?sid=12881348&cid=57620930
    Postulate I3: https://science.slashdot.org/comments.pl?sid=12881434&cid=57623460
    Postulate I4: https://science.slashdot.org/comments.pl?sid=12881434&cid=57623516
    Postulate J0: https://science.slashdot.org/comments.pl?sid=12881434&cid=57623734

  34. Matter at the speed of light by Anonymous Coward · · Score: 0

    Notice here that when you turn on a torch you are turning dipole matter into dipole light. The dipoles forming the binding levels of the electrons is turning into dipoles forming he cloud of dipoles that is light.

    You are using up the binding dipoles in your battery and sending those bindings out of the front of the torch as light dipoles.

    In effect you are accelerating battery dipoles to C. So set aside any idea that speed of light travel is impossible, because you do it on a small scale every day.

    1. Re: Matter at the speed of light by Anonymous Coward · · Score: 0

      If you read the GP post and all references carefully, you will see why you are mistaken. See footnote #548 of link 13 in the fifth comment he posted with secondary links.

      P.S. Can someone help him fix his timecube?

  35. Not enough information by Anonymous Coward · · Score: 0

    I was reading something yesterday. It described how there is nothing random in the whole universe. Everything happens for a reason. If you can't explain it or it seems random, then you just don't have enough information. Science is an approximation at best.

    1. Re: Not enough information by Anonymous Coward · · Score: 0

      Of course there is nothing random in the whole universe. You need fractional numbers to get truly random. Otherwise the you know all the digits after the decimal point are zero.
       

  36. Re: Nature doesn't defy math...your model is defic by Anonymous Coward · · Score: 0

    > The model isn't the problem, it's aggregating time that's the problem.

    If you're model uses discrete time, then yes it's a "deficiency" or estimation in the model, not a fault of math.

  37. Nature knows no competition; humans do by yes-but-no · · Score: 1

    Why use human's ugly greed/selfishness to describe evolution. Nature just plays; celebrates as one whole. I believe the human hemoglobin molecule structure is present likely even in a mosquito or any oxygen breathing living thing. The point is Nature like a mathematician explores the universe/nature/it-self. It doesn't think of species1 is exploiting species2.. in fact even a grass may be happier if it ends up in the stomach of a goat. The phrases like 'survival of the fittest' etc comes from a sick mind (mine bigger than yours mindset). Think of one global Oneness, expanding playing with itself. Even after E=mc^2 and how all are connected what is the this talk of xyz riding over abc bs.

  38. Gaia Theory by ytene · · Score: 1

    The Gaia Theory/Principle/Hypothesis - see href="https://en.wikipedia.org/wiki/Gaia_hypothesis">here, suggests one possible answer for the observed data.

    I am very much aware that the Gaia Theory receives a very skeptical view from the broader scientific community. I am certainly not making any claim as to its veracity here, but there do seem to be interesting parallels between the Gaia theory and the observed results.

    It's important to note, however, that Gaia breaks down, potentially significantly, with edge cases. For example, the introduction of the Lion Fish to the Caribbean - an area where it has no natural predators - has resulted in a largely un-checked population explosion; the same is true of Crown-of-Thorns starfish. So it is possible that Gaia breaks down either where one species is introduced to an otherwise relatively stable ecosystem, or where an apex predator is introduced that has or develops the ability to consume multiple different species for food.

    This is somewhat different from the idea of mutualism, but I'd still be interested in seeing an attempt to apply Gaia theory to the observed data.

  39. Re: Nature doesn't defy math...your model is defic by jd · · Score: 1

    Implementation errors are not specification errors.

    --
    It's a small world and it smells funny; I'd buy another if it wasn't for the money; Take back what I paid (SoM)
  40. Re:Nature doesn't defy math...your model is defici by epine · · Score: 1

    That does not mean that the lecture hall defied the model. It just means that when the model was developed, the important aspects of the reality being modeled were not considered properly and some were left out.

    When reality defies equations: error between world and (momentarily) conical graphite core. There is no hubris in this world quite like reality leaving a cossetted wonk slack-jawed.

  41. Re:Nature doesn't defy math...your model is defici by epine · · Score: 2

    This just in from the Devil's Dictionary:

    Ecology — the formal study of insufficient models and their mutinous deficits.

  42. Mutualisms by johannesg · · Score: 1

    Doesn't this describe the relation between humans and its favored species (chickens, pigs, cows, etc.)? Those species thrive in vast numbers, as do the humans that feed on them, at the cost of everything else. The simulations seem to be spot on in that sense.

  43. Re:Hint: Applies to global warming as well by Applehu+Akbar · · Score: 1

    Right now they are, but look at the rate of change.

  44. Re: Hint: Applies to global warming as well by c6gunner · · Score: 1

    And then it was snuffed out by the extinction event that was caused by much more energetic lifeforms that outcompeted.

    It was? Weird. I could swear I've seen at least a few trees in my lifetime ...

  45. Re:Hint: Applies to global warming as well by Luckyo · · Score: 1

    Apply reading comprehension. Thank you.

  46. Re: Hint: Applies to global warming as well by Luckyo · · Score: 1

    That moment when someone thinks they're smarter than you, because they weren't smart enough to understand what you wrote.

    Ok.

  47. Re: Hint: Applies to global warming as well by c6gunner · · Score: 1

    Yeah that must be it.

  48. Typical computer model by Anonymous Coward · · Score: 0

    ... Someone clearly forgot to account for the second law of thermodynamics, or more likely the other ones too.
    In a rainforest, there's an abundance of freshly-available energy and resources. Things are a bit more grim in an artic wilderness.

    I'd posit that yet another pin-head, with great depth of knowledge in the specific field that they're interested in, forgot all about applying the less-interesting, more hum-drum 'real world' wisdom of that most depressing of sciences* -- thermodynamics. (* it's somewhat famous that originator of the second law committed suicide, as did the next guy to study the field. ).

    The flip side is, that these sims are usually interdependent sets of linear differential equations. They work best where things tracked are well-conserved. The second law, however, applies essentially quite a lot of non-linearity. It's very difficult to capture properly. Hell, applying thermodynamics, properly, on 'game' systems is it's own field, with the suitably-intimidating name of 'statistical mechanics'. The main outcome of which is, you basically can't simulate things sufficiently accurately to be *sure*. But you can figure out what general results are likely. The outcome of 'playing' with the Standard Model, at least up to the first couple of elements, is to reproduce the empirical gas law.

    But trying to simulate as complicated a system as all the living things in a rainforest... Downright foolhardy, essentially. Best that could be done would be to track energy about the system, since one creature's death is potentially another's meal -- but only for what they can take from it. Leave that critical 'track the energy' part out, and you have basically a computer game that fails to account for that most basic of accounting that the real world does. And that's only the First Law.

    So, this news just in: A computer game, running a mathematical model which is but a childish over-simplification of a ludicrously complicated real-world system, does not in fact behave like the real world system does. This seems 'surprising' only with sufficient ignorance.

    Life 'will find a way', largely because like definitely takes good advantage of various 'free' processes made so by the Second Law. Especially where there's a lot of energy passing through reliably.

  49. IMPERSONATING me AGAIN? apk by Anonymous Coward · · Score: 0

    You're caught impersonating me c6gunner (your name's the submitter signing "APK") https://linux.slashdot.org/com... & you ALTERED /.ers PRAISE of my work (not yours you don't even HAVE).

    (Don't throw stones if you live in a glass house vs. me: RIGHT ZIP? https://yro.slashdot.org/comme... )

    *** IGNORANT LYING CHIMP "ZIP" SHOT DOWN FOR HIS LIES & TECH FUCKUPS vs. me https://it.slashdot.org/commen...

    LIAR ZIP says he has no account "I don't have an account, so I don't have mod points" https://news.slashdot.org/comm...

    Yet LIAR ZIP says he downmods my posts (IMPOSSIBLE MINUS AN ACCOUNT on /.): "I down-modded a few of your post on other threads" - by Anonymous Coward "ZIP" on Thursday October 11, 2018 @11:31AM (#57461058) FROM https://yro.slashdot.org/comme...

    APK

    P.S.=> Hosts can stop portsmash (blocking downloads of it) "You basically have to already be able to run your own evil code on a machine in order to PortSmash it." from https://www.theregister.co.uk/... not Spectre/Meltdown AFAIK (but it's POSSIBLE it might but NOT TOTALLY SURE here (vs. say, RPC using them which would be REMOTE vs. LOCAL as in portsmash above) per https://meltdownattack.com/mel... &/or https://spectreattack.com/spec... ACADEMIC RESEARCH into their mechanics ) - & U FAIL a PORTFILTERING TEST https://yro.slashdot.org/comme... ... apk

  50. Re:Hint: Applies to global warming as well by Agent0013 · · Score: 1

    What are you trying to say. You don't seem to be using any words and what you are saying seems to be completely the opposite of how history happened.

    --

    -- ssoorrrryy,, dduupplleexx sswwiittcchh oonn.. -Quote found on actual fortune cookie.