TERRAFORMING EXOBIOLOGY
CHAPTER 12. TERRAFORMING
EXOBIOLOGY.
INDUSTRIAL FARMING MODELS USING MACROCOSMIC OSMOSIS AND SELF-REGULATING TRANSITIONAL ELEMENTAL AND SYSTEMIC COMPLEXITY IN HYDROLOGICAL EXTREMES.
Keywords.
Faraday, Fajan, diffusion, osmosis, centrifugal, Activity Series, transitional elements, inert elements, homeostasis, complexity, simplicity, genetic engineering, geology, oceanography, desertification, excitation responses, Tripartite Relativity [T].
Abstract.
A Terraforming model for 2 extreme hydrological environments is presented that would address the backbone issues of virgin environments that do not immediately facilitate biological life.
It is assumed though that rather large ships beyond Earth's current payload capacity would be involved. [one such is modelled herein]
The precepts of this paper use the basic rules of physical chemistry and biological dependency on nutritional and physical context and also incorporate genetic switches for planned adaptation of farming stock.
Stellar space contains many very large physical objects of high mass and high relative gravity with suitable physical chemistry and ecological potential for the growth of biological farming stock.
These objects; planets, moons, very large asteroids, etc may have had no previous complex biological life upon them as they may be missing several of the key attributes of an emergent biological superstructure.
The physical chemistry that would emerge telic self-regulation may be wholly or partly absent.
Without getting into the realms of rocket science however, and using the simple physical and behavioural stimulii within known Terrestrial biology and ecology it is possible to model the construction of a primitive ecosystem for farming purposes.
Breaks and switches recently created within today's genetic engineering can be used to regulate both environmental genetic mutations and biochemical and behavioural responses to the changing physical conditions within the environment.
Example 1. Terraforming Oceanography.
Liquid assets in solar systems may include excessive hydrological environments e.g. Europa, a moon of Jupiter.
In the Sol system however, Europa is too cold for solar-driven fish farming.
Solar conditions are ideal for Terrestrial fish whose genetics are ideally emerged to suit; terrestrial light, temperatures and gravity and whose biological and nutritional properties are known to be regular in these physical parameters.
Under variant conditions, however, it has been modelled that mutations can and will occur.
Research by Cambridge biologist Brian Goodwin on the morphogenetic transitions of 'Acetabularia acetabulum, spp.' indicate that Fajan's rules of chemical osmosis play an important part in the deployment of DNA descriptions.
"The gradient of Calcium with a maximum at the pole becomes unstable as growth proceeds, and transforms into an annulus and flattens towards the tip." - and then you get the whorl forming, I said as I watched a ring of schematic hairs develop.'
'For various mechanical reasons, in Acetabularia, and in plants, generation of form is always accompanied by growth, a continual outward expansion.' '.. [edited] .. animal embryos can generate complexity in many more ways, including outward or inward deformation of sheets of cells, migration of cells, and other means. As a result, animals can produce tremendous internal complexity as well as intricate external pattern.'
Lewin R, 'Complexity, Life at the edge of chaos.', pub. Dent, 1993, ISBN 0-460-86092-5.
'The basic morphogenetic events for eye formation are simply repeats of the basic [rules] .. such that .. 'eyes are the product of high-probability spatial transformations of developing tissues.'
'Making an eye is easy !! .. 'which is very different from the Neo-Darwinist position.'
i.e. Offworld, Terrestrial biology could get well funky.
There would be no situation in 'in vivo' conditions where mutation would not occur.
There would be two kinds of mutational tendency however.
a. Normative Mutation.
b. Abnormative Mutation.
The end product of offworld farming therefore, may not be to everybody's taste or texture.
Food processing therefore may render certain crops within the intensive farming infrastructure inviable as assets of mass production.
e.g. The Food Processing Industry.
In the Catering Industry, there are certain criteria for hygiene that must be met. These would include the use of sterilisation equipment and techniques. e.g.
1. bullet frequency disruption signatures for e.g. bacterial and viral membrane lipo-protein lysis or tRNA, etc.
2. extremes of temperature and pressure.
3. morphological constraints that may influence the rates of market bio-degradation and also the physical tolerance of the standard packaging.
Within the material constraints of offworld biofranchise - mutations of the original filial genotype can occur because of the new factors within the physical locality chosen for phenotypic growth.
These can influence the velocity of growth, the uptake of growth factors, and an increase or decrease in phenotypic sensitivity. Changes in the physical environment can cause the development of mutations with the removal of normative and necessary constraints on dormant phenotypic attributes.
In a large scale naturalistic [extra terrestrial] ecosystem physical factors that include; stellar inconsistency, genotypic response to a new stellar spectrum, etheric and atomic inconsistency, new gravity and EM fields, new aggregate ratios of contextual atomic chemistry all impact on biological emergence and reproductive homeostasis.
Whatever Filial F1 profile there may have been in the original farming stock, therefore, is certain to change once it is moved elsewhere in time and space to be franchised.
The issues therefore with such produce are whether the mutation rates would be considered by market standards either desirable or viable.
Unmarketable abnormative mutations that are not toxic may be wasteful of corporate resources. However, such end products may only suffer from a lack of market intelligence or scientific knowledge.
· In biological livestock there always will be issues of uneconomical pathogenicity within farming.
There are two transaction types in every and any given context that has any organic complex system under observation.
These two aspects of biological self-regulation plus the zoning and its power law relativities within and between scales produces the 6 keys [T] systems theory which will be more fully explained in these chapters.
e.g. Plant Biology
These common and relative transactions can be modeled using the [HX] syllogism.
Z = Water, M = Specific Ions, S = Plant System, Q = Physical Context, P = System Product and Emerged Asset of Scaling Exploitation.
Plant Biology sits in its ever-stressed niche 'piggy-backing' on the large-scale changes of hydrological state between the extremely salty and dense soil and the dry, turbulent and warmer air.
PLANT BIOLOGY, ITS NICHE AND ERGONOMICS
In the aggregate context where: [Z, M, S, P] % Q + [t1 ... tn.]
[HXmicro] [HXmeso] [HXmacro]]
SYSTEM PRODUCT OBJECT SYSTEM CONTEXT (Q~3S = t0)
~2"MS ~3"MZ, t3 ~1Z ~2M ~1Q ~1Z
~2"MS ~3"MP ~2!3Z ~2+?#¬S, t1 ~2Q ~2M
~3"ZP + (?~3S), ~3"!3MS, tn ~3M~1S, t2 ~3M ~3Z, t2
The common process being exploited by piggy-back between the object system S (plant) and the context is the transpiration stream. The fact that in the evaporation of massive ground waters Z percolating through the geochemistry, from relatively large scales within the geophysical context - there is a set of necessary ionic ingredients M, making progress from greater to lesser scales of magnitude. This is driven by osmosis within the soil and atmospheric conditions for evaporation.
i.e. ~2M >> ~3M at time 2
This 'piggy back' process is called a 'shuttle' and has definable ergonomic parameters. [SV].
The Plant Biology model as more fully explained in chapter 11 illustrates the Plant making use of and exploiting massive scalar difference within and between contextual aggregates.
In offworld biofarming, there will be many such opportunities for unusual pathogens.
Regular laboratory monitoring of bio-excretions from livestock will identify issues within metabolic failure and systemic integrity but would not necessarily identify unknown dormant carriers within the livestock e.g. In the human digestive tract normative commensal gut bacteria (enteric), include the genus Escherichia spp. Within such bacillus, however, there are regular genetic transmigrations and also viral Infestations by bacteriophages e.g. the T2 phage.
Such problems in new industrial and planetary conditions may or may not be detectable dependent on the nature of the viral casing or because that in their current context the viral forms are dormant and or designated and classified as harmless.
The ongoing quest for biological regularity, purity and phenotypic consistency in industrial farming output is therefore a very important issue with both consumers and producers.
Given that a morphological approach to pathogen identification is not necessarily the only and best approach to take and that innate biological latency and gestation is a natural fact, then part of the aeseptic approach to farming would incorporate new approaches to diagnosis and prognosis.
New and potential niches for pathogens can be identified by transference modelling within the organism and by transference modelling of the new context e.g. using [HX].
Given existing industrial data on existing pathogens at all scales of operancy, e.g. various scales and morphologies of predator in the food chain - it is possible to use more complex pathogen/predator data from other scales in the same ecosystem to predict new niches for new pathogens at the microbial level in extra terrestrial farming.
The fact that the livestock looks good and tastes good is not necessarily the only issue in factorial productivity.
As in the Plant Biology Model, pathogens also nest within transactions in exogenic systems. These host systems have adapted and exploited scalar boundaries and transitions within and between massive physical aggregates in a global context.
As has been previously stated, an organic system has two issues to contend with.
1. is the regulation of its core self. [@f] $ [@g]
2. is the regulation of its self in relation to its contextual tolls.
[@t] $ [@d]
i.e. The amount of growth from the amount of feeding is inversely proportional to the amount of damage repaired at the site of the environmental toll.
In the human body for example, in terms of; [T] and [HX], and given the context of an 'a priori' DNA script in abundance (+?, =:=), the macro, the primary intake of contextual process and energy comes into the core and viscera of the organism via the gut and lungs.
It then empowers the meso, the formative processes of the Central Nervous System, bones etc such that they drive and facilitate the assets of feedback from the cognitive senses at the periphery of the being. [modelled below]
The Tripartite description for pathogenic opportunity.
[HX,T]
MACRO CORE PATHOGEN [@f] $ [@g] [self]
MESO FORMATIVE PATHOGEN $$
MICRO PERIPHERAL PATHOGEN [@t] $ [@d] [context]
Mammalian livestock e.g. The genus Bos, the cow, or Suidae: - Sus scrofa, the domesticated pig like all organisms have; macro, meso or micro and innately possess the issue of dual expenditure to contend with. i.e. That of maintaining their endogenous regularity whilst simultaneously attending to exogenous contextual issues.
The size and systemic complexity of farming assets may vary greatly and so therefore will the issues of pathogenicity.
In taking a systemic and process strategy rather than solely a morphological one - it is also possible to classify and model organisms - whether a potential host for pathogens or not, in terms of their relative degrees of biological activity and complexity, transference gradients and scale.
Organisms tend to self-regulation or oogenesis.
This strategy can be fulfilled using [T] modelling because it models function rather than a potentially infinite pathogenic form.
Basically on six aspected systems model in terms of a closed and limited number of events. These events are in the language [A] and can be easily modelled.
[T], [A] : In terms of relative biological knowledge an Octal classification of pathogenic opportunity and proclivity predicts;
This [T] set, defines the conditions for biological and ecological and physical states of Niches in which reside the possibilities or impossibilities for some life.
The Tripartite [T] description for relative energy transference in organismic or oogenic systems is called the [N1] set. N1 = [n1, n2, n3 .. n8]
The transference values in the ecosystem that the plant niche exploits by 'piggy back' is called a 'Shuttle' and the 'Shuttle Value' or [SV] can be empirically and ergonomically determined.
The [N1] set models an increasing amount of complexity in natural systems that have also an increasing number of ingredients that are involved in transference activity or energy exchanges.
[n8] could be a complex biological metabolism with a large system that is very complex but slowly burning oxygen e.g. the complex porphyrin ring structure in the red blood cell that embeds the ferocious oxidative potential of iron in the blood
[n7] could an invertebrate metabolism, e.g. insectoid, less complex and more directly impinged upon by the environment, expending its life and energy in shorter bursts and cycles.
[n6] could be a plant with large numbers of organised simple molecules with a relatively simple structure and mechanics, immobile etc but with a low transference velocity in its reproduction allowing for complex interactions reproductive within the environment.
[n5] could be a fungal colony with large mycelium [rooting and fruiting system] made out of relatively simple polysaccharides but answering to environmentally driven short life and fruiting cycles.
[n4] could be bacterial with small amounts of chemical aggregates operating a relatively complex and invested life process.
[n3] could be viral, short lived but operating and adapted within a systemic complexity that is borrowed.
[n2] could be molecular and physical chemistry aggregates e.g. soil where more complex ionic interactions take place over time.
[n1] is monoatomic and ionic all readily and immediately reactive.
A shuttle is created by an organism or system piggy backing on a larger process. e.g. a plant uses the physical parameters in the evaporation of ground water to power its transpiration stream for xylem and phloem uptake from the roots, driven by evaporation at the leaves.
[T] descriptor for modelling the Shuttle Value.
MACRO simple massive
MESO simple complex
MICRO High Velocity HV Low Velocity LV
Relatively increasing complexity and scale of transference gradient ...
The [N1] set. e.g. plant biology, atomicism, ecosystem etc
n1 n2 n3 n4 n5 n6 n7 n8
small small small small massive massive massive massive
simple simple complex complex simple simple complex complex
HV LV HV LV HV LV HV LV
[T] modelling can be used to model the complexities of the ecosystem and its organisms and the inner complexities of their transference. The language [HX] is a universal medium for this.
Numbers of intermediate states are generated, but these transitional values have a definite and limited, finite, non-arbitrary essential number in every case.
A [T] classification system for transference in 'Vivo', or the wild state can be modelled at time2 by combining the 64 definitives of [T] and [N1] with the further 665 modalities or uncertain transitions of [A] with [N1] to produce at least 729 possibilities in a recombinative scenario for logical modelling inclusive of modalities: where there is A to B through some common C with the intercession of some common D.
There of course could be more than D, e.g. E, F, G etc with thousands more definitive transitions to adjust to in every time interval. i.e. computational and ideological chaos !!
However, [A] modelling using essential numbering restricts and limits this to finite essential numbers.
Using the fact that every system or organism has six processes or power laws around which the entire system revolves, on can build up a custom made picture of the numbers of nested processes we may wish to model using our modal logic.
Thus when we arrive at the calibration stage of our model we may have definite number of possible transactions and events within our model by multiplying the 729 transactions of our language [A]
At time2, for an example; interacting system parts and other power laws within the system create large definite numbers.
These numbers are finite and closed and very specific to our model. E.g. 387420489 logically real events in the language [T] at time1 and; 150094635296999000 events at time2 in the modal logic [A] which includes undecided events.
The time 2 event numbers are enormous, but not infinite.
The system of breaking these numbers down in T relativity, called heuristics, would not have a problem handling all these combinations.
These are massive yet finite numbers of which only 1 or close to 1 means integrity and the other numbers describe states of relative disintegrity.
These numbers are repeatedly divisible by 6 – as each component and each component of a component etc has 6 issues.
The three biological zones have very different consequences. e.g. peripheral muscle - micro, nerve - meso, or central formative cognitive ganglia - macro.
The 6 system components will behave and interact; between, outwith, within, acausally, causally, dependent and independent, in synergy or antagonism etc of each other in the 3 systemic zones of the organism.
FARMING USING SOCIO-ECONOMIC AND BIOLOGICAL DIVERSITY [T] MODELS.
Biofarming without strict controls over the end product is going to create enormous difficulties.
The evolution of commensal or neutral life forms that were part of the stocks enteric activity may also play new and unwanted roles in any new ecosystem.
Morphologies may change in different aggregates, but the functional roles of the predator and its pathogenicity will nevertheless still target the same predatory pathways in the host organism.
A relationship between the disintegrity of the part and the disintegrity of the whole can be worked out by empirical diagnostics from other organisms and this data could be compiled such that the relative transference values and energy levels and gradients within the organism can be used in other domains. This isomorphism between domains compares modes and routes of discharge and transfer through gradients and materials in each case and can be represented topographically.
The time1 picture for modelling and diagnostics produces a limited snapshot of static events within components from which to work.
These numbers cited are for the purposes of examples only.
e.g. The classification system for pathogens [HXP1], P1 = [p1', p2', p3' .... p150094635296999000']. i.e. there is a maximum of 10 to the seventeen kinds of pathogenic effect in the universe. There may be infinite form, but there is a finite limit to their function.
The organic system or general system is repeatedly divisible by 6, and there are ways to bring down the number of possible candidates by empirical evaluation of affected zones.
The same pathogen e.g. [p223'] may produce different effects within different host zones and different pathogens may produce similar effects within similar and different host zones.
With millions of effects, certain and uncertain to observe predicated on the presence of thousands of both known and unknown organisms - identifying the main issues of primary and secondary infections become important.
Empirically derived and modelled components of the stock organism can bring new levels of economic reality to farming, stock maintenance and control.
A primary pathogen can create new opportunities for usually harmless organisms to produce further damage and exacerbate the problems of diagnosis and stock prognosis.
Also new kinds of pathogenic collaboration may evolve different or greater toxicity with e.g. synergy or antagonism.
However, if the livestock were evaluated and classified for their innate and initial strengths and weaknesses within feeding gradients for pathogenic opportunity - it can be possible to focus at e.g. time1 on the 262,144 'a priori' areas or classes of event within livestock tissues and structure where pathogenic activity is exploiting the transference velocities.
Similar transference gradients within the host may also be known to be in the other 2 zones and not usually associated with a pathogenic process and these could also be evaluated for contamination by 'biochemical isomorphism' between zones.
i.e. looking for similar effects at different empirical scales within other models and in other domains.
Irregular biochemical changes as ascertained in biological excretion data may also be a prelude to either favourable or unfavourable mutation in the livestock.
For example, in a fish farm, biochemical evidence for increased growth rate and increased muscle mass may be commensurate with increased activity and systemic performance.
With the amount of nutrition both in the water and in the feed at a constant, and the numbers of fish remaining at normative levels, muscle mass is increasing. This is a desirable effect of change, and once current internal and innate systemic factors are excluded, can be ascribed to a drop in fish activity levels over a regulated period of time. Instead of quickly burning metabolites in episodes of higher ergonomic activity docile and more sedentary behaviour will create more mass within the fish.
If the fish are more active, demonstrating de-regulated behaviour and a lesser gain or loss in biomass, then increased aggression is indicative of a different effect within e.g. the Endocrine system and the Nervous System.
Behaviourism has it that the endocrine system in the higher vertebrates powers the aggressive and reproductive response with cortico-steroids such as androgens and oestrogens.
In terms of [T] modelling, and a constant farm input, K, to the core of the mutating stock, the meso and micro of the mutated fish are now operating differently.
e.g. relative nerve and muscle activity in a batch of fish.
good bad
MACRO FARM CORE FEED, DNA, VISCERA K K
MESO FORMATIVE CNS, ANS and BONE 10% 90%
MICRO PERIPHERY MUSCLE, SENSES 90% 10%
A planet in a natural chaotic state and consisting of unknown conditions and indiscernible transitions and scales of entropy will present many empirical challenges to industry. Coming new into a situation that has no prior data or analysis available with which to evaluate its market uses for farming, mining etc there would need to be a bigger picture and modelling language with which to account for these many varied and unknown and complex conditions.
The languages or models [HXP1] and [HXD] for pathogens and diagnosis are time2 pictures for 'a priori' research and provide a logically real starting point for empiricism.
These events themselves are produced by a hierarchy of components within each [macro, meso, micro] zone. Similarly each component and component of a component is comprised of 6 issues and power law relativity and fixed essential numbers.
Having said this, however, there are a finite and closed non-arbitrary number of them, not an infinite diversity to choose from.
Heuristics will utilize data from the known performance of similar parts in other organisms and the known observed and physically understood effects of dysfunction on the whole in other organisms from an 'a priori' industrial database.
It can be seen from the finite size of the numbers that [T] modelling has enabled a potentially infinite number of untenable circumstances to be modelled where previously no substantial modelling could have been possible.
OFFWORLD BIOFARM GENESIS, SCENARIO 1.
extreme hydrology - relatively simple ocean.
In terms of [N1], the defined set of niches, the oceanic state would approximate [N = n5, n6]. With e.g. temperate and tropical zones taking up n7 and n8 respectively.
The F1 primary fish stock is a relatively complex organism Salmo salar spp. [the salmon]. It combines migratory feeding, electromagnetic navigation and location, geomagnetic and saline responses, high and low temperatures and various internal and external natural rhythms and bioclocks to precipitate its feeding and mating behaviour.
The use of restrictions within the environment of bulk salmon farming inevitably produces inviable stock through the lack of motility and metabolic exercise, the lack of rigour in its behavioural and metabolic distribution, and its static and steady environmental state renders its more globally orientated metabolism vulnerable to predation from local seasonal micro-organisms.
Other dangers of eutrophication and overfeeding destroy the virtue of the edibility within the stock.
A remote planet of suitable light, mass and suitably large hydrosphere has been located. It is a simple ocean that can be bio-engineered such that natural F1 Salmo spp. can be deployed and reared in bulk in a wild state for high quality fishmarkets.
e.g. LIVESTOCK RESEARCH AND BEHAVIOURAL
FINE-TUNING.
F1 Salmo, spp. however, requires a physically tactile environment that does not 'a priori' exist in such a simple hydrosphere. The introduction of a new and competing biological surplus into this environment i.e. wholescale primary seeding of the entire gamut of lifeforms within the F1 lifecycle of the Salmo, spp. from its indigenous homeworld will not likely produce a workable effect in such an ocean.
Massively unregulated bio-diversity emerging new types of equilibria could produce several new and divergent ecological competitors for Salmo, spp. under these new physical conditions e.g. planetary and stellar aggregates etc.
These new competitors would interrupt the salmon lifecycle such that the stock does not obtain the benefits of a terraformed farm.
Introducing an indigenous Salmo, spp. oceanic environment should be phased-in in simple stages.
The primary phase should be relatively artificially fed and supported whilst the Salmo, spp. bed into their new geomagnetic geological, stellar and climatic conditions.
Light conditions, and the intensity of certain light frequencies for instance, influence shoal-forming behaviour in some fish. Under strange stellar conditions, such disorientation after winter feeding and before the freshwater phase may leave them open to unusual amounts of predation.
The ocean floor however, contains no information that the Salmo, spp. would immediately or ever use, for geophysical navigation and therefore it would be important to create, in this instance, some guidance for the stock organism.
The main factors in use in this instance are:
1. the creation of a biomagnetic track system on the ocean floors using Fajan's Rules for the guidance of Salmo, spp. migration.
2. the use of bio-engineered micro-organisms with innate Termination-Gene sequences.
In the natural Salmo, spp. environment, factors such as liking or avoiding i.e. (philic or phobic) various stimulii at various times interplay between the stock and other organisms in the ecosphere.
The salmon, e.g. Salmo salar, migrate into fresh shallow water and different lighting conditions to spawn under conditions of attrition, they may also eat fly larvae in the freshwater, but feed voraciously on other fish species e.g. the pelargic mackerel or herring, plankton such as 'euphausiids' and also some amphipods and decapods in the cold salty oceanic waters.. to build up their nutritional levels and their bio-mass such that they are sufficiently replete in metabolic activity to migrate and spawn. In a new freshwater ecology, the energy to compete, to mate, to reproduce and to return to the ocean for the new annual cycle is very much dependent on the success of the oceanic feeding cycle.
Under these wild conditions, the salmon stock, constantly washed by massively turbulent seawater is at its most edible and free of the shallow freshwater or brackish water parasites that could predate in a restricted inland farm.
Static fish farming has usually produced a docile, anaemic and parasite-laden end product.
Managing Ecological Complexity in Terraformed Environments.
Interactive ecological processes amongst new, established and emergent life processes will produce numerous new food chains and new kinds of predatory cycling between predator and prey and other natural competitors in all stages and scales of the food pyramid.
Interactivity between scales, complexity and velocity of the organic can be modelled for diagnostic purposes in stock organism using the limited set of; core, formative system and periphery. This produced the [N1] set of niche numbers [n1 - n8] that depicted increasing scale and complexity of transference which can be used to describe various parts of the ecosystem or the ecosystem as a whole.
Ecological diversity is predicated, generally speaking, on the relativity of physical and chemical co-operation between all scales of physical diversity in the ecosystem.
The core of the ecosystem or macro, the most simple and massive scales of aggregate are the basic simples that sustain the more complex and bigger predator-prey cycles.
In the predator-prey cycling models, as the numbers of prey increase, so eventually do the number of predators in the predatory population, until they eventually through sheer scale and efficiency, overwhelm the numbers of prey species, which then die off, declining rapidly. As this happens, there is less abundance of resources and the predator species competes amongst itself, excluding and eliminating the weakest predators in its own species, maintaining the efficiency of its own genotypic behaviour as it does so.
When the number of predators are reduced, the prey species, ergonomically smaller and more simple and therefore utilising faster growth and replication strategies starts again to increase in population size and abundance - as again do the predators. etc.
At this scale in the ecosystem, however, the bigger predator- prey relationships of interest in livestock farming appear more detached from the bigger environmental process.
A more global or 'continental' picture has it though, that for seasonal growth and ecological performance to improve, factors such as temperature, light, water, nutrition must become more consistent and regulated and must become stable enough to facilitate the growth cycle appropriate to the scale of the animal being farmed.
The regulatory persistence of such 'growth seasons' however, have at their root a basic physical fact. That at the highest frequencies of physical inconsistency, e.g. short optimal temperature cycles, only the organisms with the greatest physical tolerances and fastest life cycle will grow.
In the core of the ecosystem, in 'winter- spring' as it were, frequent temporal 'stutters' in physical temperature can facilitate the growth cycles of the smaller micro-organisms O1, such that they become abundant enough to feed another layer of more complex organisms. These, O2, pushing up their numbers to a threshold population tenaciously regulated by sharp inconsistencies within the changing climate.
As the inconsistencies and sharp contrasts of growth temperatures and available light decrease, however, and biomass increases, the life cycle of more and more complex organisms O3, can be facilitated by the more consistent conditions for energy and behavioural investments in; mating, gestation and growth.
Thus the larger predators at the Periphery of the ecosystem feed on the Core through the stellar-driven formative engine of physical conditions and tolerances, and geo-chemical and topographical activity.
In modelling new planetary environments, in conjunction with accurate empirical data on the physical processes from scans and an 'a priori' database of physical and organic state descriptions we will be able to predict either the kinds of life form to be found or the kinds of lifeform that could be sustained on these new worlds.
In an aeseptic but relatively unresonant world full of natural electromagnetic insulation a synthetic migratory mechanism may be required to orientate salmo spp.
Using high-energy activity series electro magnetic elements and or high EMF cables, a migratory track can be laid down that the salmon will recognise.
Several tracks from deep cold and relatively salty feeding grounds that constructively lead through areas of changing temperature, light and salinity such that dependent on climatic conditions, the best amenable route to a freshwater landzone can be selected.
The reality of the simple planetary ecosystem as described is of an oceanic environment with not much complex organic growth, mud or silt, but with migrating gravel banks etc deeps and shallows with freshwater processes on some areas of land that would suit the salmon for spawning.
Then, the introduction of plankton and other silt forming organisms with self-terminating genes could be introduced under conditions of massive eutrophication such that degrees of silting and organic detrius may begin to establish.
Halophilic, (salt liking), Thermophilic and Thermophobic attributes of these organisms can be used to form a discernible F1 indigenous 'bio-electrical' signature in these new waters over and within the Salmon's perceptions of the synthetic tracks.
If the planet has its own naturally strong EMF signatures in the oceanic bedrock that the salmon will frequent, then F1 silt forming plankton and algae may attenuate these circumstances.
The strategy, therefore is to ensure that the primary stock species at the top of this foodchain has an unobstructed and useable navigation system to aid its lifecycle and growth.
Salmon Feeding Grounds and other Nutritional Aspects.
The salmon, Salmo, will feed on small organisms and pelagic fish (PF), in the open sea. It's artificially managed feed stock though must be dependably maintained as they may pass on several environmental problems into the nutritional cycle of the salmon.
e.g. a methodological approach to these many problems may include ...
1. The feedstock (PF) may mutate, therefore innate genetic engineering in (PF) that uses a self-terminating genetic sequence (tG) in its constitution can be engineered such that the (PF) is ignoring a potentially fatal mineral in the local ocean until the genetic clock stops running.
2. The introduction of a new hotzone mineral salt locally to the feedstock feeding grounds in the cold zone that is beneficial and good for the salmon, will cause the feedstock will terminate by (tG).
3. The introduction of a mineral salt unrecognisable to but tolerated by the salmon were introduced into the cold zone causing the feedstock to terminate by (tG).
4. The elimination of stock by catalytic high frequency irradiation that will disrupt e.g. fish cell membranes.
5. Nutrient deficiency in the oceanic environment can be attenuated by a slight and relative enrichment of the feedstock.
In this case it should be noted that biological concentration of minerals in complex systems cause abnormal levels of toxicity in the vital organs of the prey species. e.g. liver, kidneys.
The salmon and young salmon or salmonid will feed until satiety and seasonal climatic changes urge their behaviour towards the physics of the reproductive waters, and consequent physiological changes.
There may be a primary, secondary and tertiary feedstock species, or perhaps only a primary species plus artificial supplement etc, but dependably, the feeding grounds of the salmon are predictably in the open sea given that they can navigate their way there. Thus extraneous supplements are local and in the open sea and concentration recycling and distillation of minerals in feedstock do not form a part of the breeding activity or the whole of the Salmo lifecycle.
Should that problem occur, the feedstock could be evaluated in isolation and or terminated.
6. Other topographical cues, channels, valleys and stockpens for both the salmon and the feedstock can be created using sensitively tuned electromagnetic radiation buoys.
OFFWORLD BIOFARM GENESIS SCENARIO 2
e.g. extreme hydrology - relatively simple low atmosphere and dry desert.
Some relatively small proportion of inert gases are converted into catalysts by high energy stellar driving, creating distorted ionic forms. These are transported around the atmosphere by wind velocity and turbulence en-masse in chemical and physical context.
[T], [A] : In terms of relative biological knowledge/data an Octal classification of atmospheric carbon-based life-supporting opportunity and proclivity predicts;
This [T] set, defines the conditions for biological and ecological and physical states of Niches in which reside the possibilities or impossibilities for some life.
The ideology of velocity in [T] atmospherics refers to the speed of transference of energy in gradients between chemical simples and complexes.
This is called the [N1] set. N1 = [n1, n2, n3 .. n8]
MACRO simple massive
MESO simple complex
MICRO High Velocity Low Velocity
The [N1] set has been used before to describe events within other niches. e.g. the ocean.
The [N1] Set. in context of atmospheric engineering.
n1 n2 n3 n4 n5 n6 n7 n8
small small small small massive massive massive massive
simple simple complex complex simple simple complex complex
HV LV HV LV HV LV HV LV
Essential number modelling as applied to atmospheric engineering.
Such a classification system 'in Vivo', or the wild state can be modelled at time2 by combining the 64 definitives of [T] and [N1] with the further 665 modalities or uncertain transitions of [A] with [N1] to produce at least 729 possibilities in a recombinative scenario for logical modelling inclusive of modalities: where there is A to B through some common C with the intercession of some common D.
There of course could be more than D, e.g. E, F, G etc with thousands more definitive transitions to adjust to in every time interval. i.e. computational and ideological chaos without [A] modelling !!
Atmospheric diversity, is predicated on the relativity of physical and chemical co-operation between all scales of physical diversity in the atmospheric chemistry driven by stellar emissions. There being 6 power laws between all the components involved.
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The traditional macro aggregate or 'emergence pyramid' for physical chemistry should be viewed as 'upside down',
This model is analogous to the ocean and biological cycling.
A pyramid of molecular numbers where the most important of the scarcer life-supporting atmospheric gases supplying oxidative metabolic transport systems in carbon-based life-forms are the emerged and nested asset within a massively turbulent and stellar driven atmosphere.
The core of the atmosphere or macro, the most simple or 'biologically neutral' and massive scales of aggregate are the basic simples that sustain the more complex and bigger reactive ionisation pathways amongst life-supporting gasses of lower volume and proportion.
In the life-supporting ionisation cycling model, as the numbers of ionised radicals increase, so eventually do the number of biochemically useful gasses and recombinant molecules.
Variation in biologically useful atmospheric concentrations comes when stellar driving and ionisation rates and frequencies diminish.
When such energy input drops below an amount per volume of the atmospheric gas ratio, eventually the sheer scale and non-reactivity of the simples, overwhelm the numbers of available ionised biologically useful recombinants and the gases revert to a more inert state, as available driving energy and recombinant opportunity diminishes.
As the numbers of complex and biologically active molecules diminish, there is again a greater abundance of ionisation energies in the ionosphere, and the species of biological-driving complex transitional molecules with far less to react with, loses energy.
The biologically re-active gases exclude and eliminate from their emergence activity the weakest ratios and gradients, and concentrations and ionisation energies within the unique planetary atmospheric ratio as they tend to atomic simplicity.
This reversion maintains the relative atomic efficiency and availability for new stellar driving.
When the number of biologically useful molecules are reduced, the macro atmospheric aggregates and ratios, that are biologically more inert, more simple and abundant utilise greater mass and mixing from turbulence to dilute the reactive elements.
Stellar driving starts again to increase the abundance of ionisation donors and those molecules with catalytic potential and pushes up the numbers of atomically active radicals. Again the numbers of biologically useful and reactive gases start to re-cycle and increase. etc.
At the scale of terraforming a planetary atmosphere for the purposes of furnishing an ecosystem, however, the more biologically useful oxidation and reduction molecular relationships of interest in livestock farming appear more detached from the bigger environmental process.
The more global and 'stellar' picture has it though, that for atmospheric growth and ecological performance to improve, factors such as; stellar efficiency, stellar intensity, planetary mass, spin, velocity, tilt, and atmospheric gas ratios, ratios of suspended colloidal rock dust etc must become more consistent and regulated.
This stability must facilitate the growth cycles of biological gases for REDOX reactions appropriate to the scale of the animal being farmed and also the unique ratios of biogases inherent in the aggregates of the planetary atmosphere.
[e.g. in terms of ergonomic factors for a biological metabolism, including; size-mass ratio, gas intake, etc.]
The regulatory persistence of such biogas 'growth seasons' in the solar system however, have at their root a basic physical fact. That at the highest frequencies of physical inconsistency within the solar system, only the atmospheric gases with the greatest physical volume, will be the most active.
If the planetary atmosphere requires relatively persistent high ionisation energies to fire biologically useful emergent recombination of redox gases because of its sparse mixture and ratios of biogas to inert gases and only receives an infrequent opportunity to create it because of cooling, dust, etc then it will likely stay inert to biologically complex life.
In the core of the atmosphere, at a 'biogas threshold' or oogenic redox threshold [ORT], frequent temporal 'stutters' in stellar and planetary conditions can facilitate the ionisation cycles of the most abundant and or reactive gases, G1, such that they become abundant enough to drive and input to the emergence of another layer of more complex gaseous recombination, G2.
If stellar driving continues and persists in intensity and abundance under both stellar and planetary conditions, it pushes up the numbers of [ORT] components to a threshold concentration tenaciously regulated by sharp inconsistencies within the changing stellar and planetary interaction.
As the inconsistencies and sharp contrasts of [ORT] ionisation energies decrease and available recombinants increase, biogas activity increases. The gas and material cycles of more and more dense planetary surface chemistry G3, therefore, can be facilitated by the more consistent conditions for energy and biochemical investments in; oxidation, reduction and geological sensitivity.
Thus the biogas/[ORT] activity forms part of a macro core of a biological ecosystem that is driven and fed through the activities of a stellar-driven formative engine of physical atmospheric conditions and tolerances, and ultimately geo-chemical atmospheric ratios and the activity of turbulent atmospheric mass.
In modelling new planetary atmospheres, [HXB2] and [HXB3] in conjunction with accurate empirical data on the physical processes from scans and an 'a priori' database of physical, organic and atmospheric state descriptions will be able to predict atmospheric behaviour. [HXA], [HXB2] and [HXB3] will logically model either;
1. the kinds of 'oogenic redox threshold' [ORT] for life forms to be found, or,
3. the kinds of lifeform from [ORT] values, that could be definitely sustained on these new worlds under changing and developing stellar and planetary physics and chemistry.
By the use of impacted ice asteroids atmospheres could be seeded to skew their mixtures towards biological teleology on suitable planets.
As has been previously stated, an atmosphere is an organic oogenic system and therefore has two issues to contend with.
1. is the regulation of its core self. [@f] $ [@g] planet
2. is the regulation of its self in relation to its contextual tolls. [@t] $ [@d] planet and star.
In a solar system in the planetary body for example, in terms of; [T] and [HX], and given the context of an 'a priori' atmospheric aggregate bound under the terms of mass and gravity sufficient for atmospheric activity and interactivity within its-self and between its star (+?, =:=), the macro, the primary and most numerous aggregates of the atmospheric contextual process and recipient of stellar energy comes pours into the core of biogas components a stream of ionisation energy via an uncommon and small percentage of mutated macro molecules that are radical and facilitative of the more potentially active biogas molecules. These biogas molecules may be of a far lesser number in volume and concentration in ratio to the inert gases.
These radical facilitations then empower the meso, the formative processes of the biogas physical chemistry, for redox transactions etc, such that they drive and facilitate the assets of biochemical and oxidative and combustive feedback from the geochemistry and ecosystem on the planets surface.
[HX,T] Atmosphere in the Context of Stellar Driving
MACRO CORE VOLUME GASES [high inert] [@f] $ [@g] [self]
MESO FORMATIVE BIOGAS $$
MICRO PERIPHERAL GEOCHEM REDOX [@t] $ [@d] [context]
Where the atmosphere is losing integrity and taking damage from geo-chemical and geographical and topographical interactions on the planets surface and also materials in suspension above the planets surface.
The size and systemic complexity of farming and atmospheric assets may vary greatly and so therefore will the issues of atmospheric decline.
Taking a systemic and process strategy rather than solely a morphological one - it is also possible to classify atmospheres whether a potential farming asset or not, in terms of their relative degrees of biogas threshold, their activity and complexity, their transference gradients and scale.
[T], [A] : In terms of relative biological knowledge an Octal classification of pathogenic opportunity and proclivity predicts;
This [T] set, defines the conditions for biological and ecological and physical states of Niches in which reside the possibilities or impossibilities for some life.
This is also modelled by the [N1] set.
[N1] in the context of oogenic emergence.
MACRO small massive
MESO simple complex
MICRO High Velocity Low Velocity
in increments of increasing 'redox' [potential for oxidation and reduction] facilitation [n1 - n8].
[N1] in the context of redox gas oogenesis.
n1 n2 n3 n4 n5 n6 n7 n8
small small small small massive massive massive massive
simple simple complex complex simple simple complex complex
HV LV HV LV HV LV HV LV
Such a classification system in 'Vivo', or the wild state can be modelled at time2 by combining the 64 definitives of [T] and [N1] with the further 665 modalities or uncertain transitions of [A] with [N1] to produce at least 729 possibilities in a recombinative scenario for logical modelling inclusive of modalities: where there is A to B through some common C with the intercession of some common D.
There of course could be more than D, e.g. E, F, G etc. with thousands more definitive transitions and re-emerged and re-entropic effects to adjust to in every time interval. i.e. computational and ideological chaos without the Language [A] !!
With [T] modelling and 8 types of atmospheric conditions at time1 in each of the 3 atmospheric zones, i.e. upper, middle and lower, and each zone having 2 systemic issues, there are, realistically speaking;
8 * 8 = 64 classes of [T] process interruption to evaluate at time2 amongst the relatively differentiated organic complexity and gradients within the 3 different systemic zones.
MACRO UPPER ATMOSPHERE, STELLAR DRIVING, INERT
IONISATION
MESO REDOX BIOGAS FACILITATION BY RADICALS
MICRO GEOLOGICAL AND BIOLOGICAL INTERPHASE
Integrity and dis-integrity of the atmosphere could have very different consequences. e.g. disruption and stripping by a large interplanetary mass or meteorite, or active geothermal and pelean vulcanism from the movement of continental tectonic plates. There, ongoing introduction of dust and the introduction of new geochemical aggregates could dampen and destroy the redox threshold for biogas in the atmosphere.
The upper atmosphere and aggregates have stellar energy incoming, and given consistency, this has a feeding gradient that supplies and facilitates the biogas interactions of the meso elements whilst paying its toll to systemic planetary and stellar entropy.
The 'middle' atmosphere, includes both the atmosphere in the middle strata between the ground and the atmospheric edge in the stratosphere, and also the layer in which the 'middle' or 'transitional' and reactive elements of the periodic table of chemistry (in low proportions on Earth), that facilitate the rich diversity of biology are fed and fired into radical interactivity by the more highly ionised and usually more inert gases.
This meso layer has a toll to pay to the upper macro layer of chemistry and also to the micro layer of emerged biological asset gases of the micro layer. The gases of the micro layer themselves are being dragged into energy-expensive geochemical interactivity with denser and more massively scaled and potentially reactive and interactive elements and physical features of the planetary surface.
As a starting framework, therefore, the reality of these 64 static physical atmospheric processes within the macro, meso and micro zones of the atmosphere will enable the classification of failure within the unique complexity of the physical structure and behaviour within each of the three zones.
At any time2, there are e.g. 150094635296999000, logical sources of systemic ailment causing numerous observable effects on interaction.
However, recombinant systems activity within the organism between the core, the meso and the periphery will also produce a limited number of versions of holistic systemic failure or success observable as the effects of one of the logical [T] set of [HXA1] as the oogenic system interacts.
Effectively though, there would be in [HXA1], e.g. 150094635296999000 static, logical types of atmospheric process interruption within the whole that have previously been empirically evaluated to look for at time2. Such systemic atmospheric disruption, (or change or mutation) at various scales of molecular differentiation can also be modelled from the 6 driving power laws within the atmosphere.
These process interruptions have been classified from prior atmospheric measurement and understanding and will behave and interact; between, outwith, within, acausally, causally, dependent and independent, in synergy or antagonism etc of each other in the 3 systemic zones of the oogenic system.
These failures will produce the limited logical possibility of
e.g. 150094635296999000 types of [T] system effects at time2 as diagnostic events e.g. closed, finite and limited atmospheric events as finite orders of magnitude in the language [T] and [A] within the atmosphere despite a seeming arbitrary infinity of interactive disintegration to experience !!
The Language [A] and atmospheric engineering.
A planetary atmosphere in a natural chaotic state and consisting of unknown conditions and indiscernible physical and chemical transitions and scales of entropy will present many empirical challenges to industry. Coming new into a planetary atmospheric analysis that has no prior data or analysis available with which to evaluate its market uses for farming, mining etc there would need to be a bigger picture and modelling language with which to account for these many varied and unknown and complex conditions.
The language [HXA] is a time1 or time2 picture for 'a priori' research and provide a logically real starting point for empiricism in the evaluation of a solar system.
However, the time2 picture is more varied and numerous in its state descriptions and models. The macro atmospheric core, the meso and the micro geological periphery at time2 each have [@f] and [@g] i.e. 6 power laws responsible for integrity.
These logically real dynamic state descriptions at time2 can account for the interactive complexity of the whole atmosphere.
Having said this, however, there are a finite and closed non-arbitrary number of them, not an infinite diversity to choose from.
It can be seen from the size of the numbers that [T] and [A] modelling has enabled a potentially infinite number of untenable terraforming and exploratory circumstances to be modelled where previously no substantial modelling could have been possible.
There follows a proposed descriptive physical model for an application of atmospheric engineering towards the eventual creation of a biologically viable ecosystem:
Terraforming with a High Sulphur atmosphere.
With the onset of atmospheric precipitation in a rich geologically challenged atmosphere, highly acidic or alkaline or biotoxic hydrology is likely to ensue.
The biology of extreme environments however, has produced very resilient, extremophilic organisms uniquely adapted to environmental stresses.
Halophilic, acidophilic etc genetically engineered fruiting organisms will deposit and concentrate their xylem or rooting uptakes in their fruiting bodies.
These will fall off when ripe to supply the new growing season's seeds with food concentrates.
This biological mechanism or 'shuttle opportunity' could be used to filter and extract high salt concentrates in soils being terraformed.
With some conditions for plant growth satisfiable ,the F1 foundation crop could be sewn such that it occupied the sides of a drainage basin or valley and that when it rained, the run-off waters would wash over the crop and carry loose material and detritus into streams and rivers (temporary or permanent).
The husk of the fruiting body of this crop could be engineered to be strong and to have buoyancy compartments such that the waters would float the salt concentrates contained in the fruit into the run-off sluices, where these could be collected, evaluated and or disposed of.
The use of primary, secondary and tertiary ecological pyramid and food-chain building at either microbiological levels or larger multicellular levels is predicated upon the fact that the secondary organism utilises and thrives on a bi-product of the first, and the third on the second etc.
Use of acidophilic and halophilic tolerance mechanisms in plant and micro-organisms to lock up and store the more toxic concentrations of salt and acids in detritus, fruit and biomass will be made with the use of genetic engineering.
The smallest, and most reactive of the likely metallic salts to emerge across a membrane and into the fruiting body is sodium.
e.g. it is high in the activity series of the periodic table of chemistry.
It may make fast progress to the outer husk of any seed, where it may form further associations with the atmospheric vapour content of sulphurous acid, or form sodium hydroxide, chloride, etc.
Once the growth limitations of the fruit are reached, the transference gradient for the salts will begin to slow down and eventually cease as the osmotic balances begin to alter the transference gradients from the plant transport system.
As the concentration of sodium salts builds up, in and on the epidermis of the fruit across the sodium transport mechanism within the fruit, the velocity of sodium in the osmotic transference will slow down eventually to a stop.
These oogenic signals for 'ripening' etc have physical consequences for both the structure of the fruit and the stem that attaches it to the plant.
Fruit-cell membranes could also be engineered to withhold certain of the larger ionic salts within the fruiting body and actively or passively transport or deny access to other ions.
e.g. by virtue of fruit membrane size, potassium or sodium are potentially the smallest and most reactive of any of the metallic salts that can be extracted from the soil by the root system.
These minerals and their new ratios caused by prolonged seasonal activity of the terraforming filtration crop will assist in the creation of an environment where sodium and perhaps potassium have more direct exposure to the sulphurous and acidic atmospheric constituents.
In a more dense acidic atmosphere that is sulphurous, sulphurous and sulphuric acidic are highly corrosive BI-products of increasing water vapour levels.
Acidification of an ocean may be attenuated for example by alkaline biomass.
For example plankton protozoan include the foraminifers, radiolarians, and tinting ciliates. Shells of the former two groups are an important part of the geological record in marine sediments. [Odum EP, 'The Fundamentals of Ecology edn3.', pub. 1971, Saunders, ISBN 0-7216-6941-7, Page 335].
These calciferous shells form limestone sedimentary rock under various conditions. Their high concentrations of calcium carbonate, however, would react vigorously with any sulphurous acidic rain, whenever such rains could be precipitated using seeding techniques.
By building up successive layers of biological complexity and 'bio-chemical locking' of various minerals within the biomass, it may become possible to exploit both the atmosphere and the geology as creators of new niches in certain phases of their exposure to greater or lesser inputs of energy.
In this way the 'bio-chemical locking' continues into other micro-organism and or plant generations such that the rates of primary chemical activity are slowed down and their release back into the atmosphere and soil is more attenuated. Then greater and greater potentials arise within certain areas of cultivated growth - windows of opportunity and biological neutrality which may facilitate the life cycle of a more agricultural plant - or animal.
From [Odum, 1971, p.332] 'One thing oceanic plankton surveys have shown is that the distribution is very patchy with concentrations of phytoplankton sometimes occurring in different places from concentrations of zooplankton.
The latter observation has led to the idea that secretion of anti-biotics results in 'mutual exclusion' of plant and animal components, but this could be partly a sampling artefact in that the smaller (and hence overlooked) zoo-plankton would be expected to thrive in the midst of an algal bloom. It seems probable that zooplankton are both attracted and repelled by excreted metabolites since they are often concentrated around the edges of blooms.'
It is also likely, that the physically smaller zooplankton create less physical drag in the oceanic turbulence and therefore under various physical conditions in seawater form their strange attractors and basins of attraction in physically different and separate localities in the ocean from the larger phytoplankton.
'The important work of Gordon Riley and his co-workers should be mentioned (first summarized in a monograph by Riley, Strommel, and Bumpus, 1949, with later work and mathematical models reported by Riley, 1963 and 1967). They found that the amount and seasonal distribution of both phytoplankton and zooplankton in any region could be predicted by means of a formula based on certain important limiting factors of the environment and physiological coefficients determined from laboratory experimentation. In very simplified and nonmathematical form the formula they devised for estimating phytoplankton production is as follows:
Rate of phytoplankton growth [@g] is directly proportional to the rate of photosynthetic opportunity [@f],
Predation, sinking out of effective activity zones and respiratory periods causes damage to the growth rates [@d] because the toll is directly linked to the behaviour of the physical processes within the ocean [@t] that include massive turbulence with negative results, temperature deficits, oceanic currents etc within the operational medium of the organism.
From [Odum, 1971, p.332], ' Respiration is largely determined by temperature, and photosynthesis was found to be largely limited by temperature, light, and phosphate concentration. Knowing the density of herbivores, the 'grazing pressure' was determined from data obtained in laboratory cultures. Although the computation is complex, the loss, if any, as a result of sinking plant cells below the euphotic zone can be determined from oceanographic data.'
Riley's model from the 1960's upholds the uses of [T] modelling and [HX] Assembler as applied to e.g. ecological systems theory constructs.
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