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The results. Table 9.12 presents us with a summary of the results obtained for this study. It should be noted that in this table, ubiquity (expressed in %) comprises approximate (“cf.”) as well as secure identifications and that it refers to the occurrence of the identified taxa between the sample spectra. The abundance of species combines both approximate and secure identifications. We will now comment briefly on each artefact. CPP-1 (F 96, stone vessel) This artefact only provided three starch grains. Two hereof, however, were identified as maize derived starches whereas the third could not be identified. They all had marks of damage caused due to pressure, probably grinding, at various degrees. Fortunately, the two maize starches retained sufficient morphometrical characteristics in order to ascribe them to a certain species. The third starch grain could not be ascribed to any taxa due to heavy damage. No. EC Feature Square Object CPP-2 67 101 ceramic fragment CPP-3 77 117 ceramic fragment CPP-4 230 199 ceramic fragment CPP-5 L18.01 milling stone CPP-6 011.03 milling stone CPP-7 M10.5 milling stone CPP-8 256 151.2 griddle fragment CPP-9 257 199 griddle fragment CPP-10 254 200 griddle fragment
The results. To begin with we note that if the random part of the dynamics (1) is omitted the land possession becomes fractalized. As a mathematical result about iterative maps with Bernoulli variables it was demonstrated not so long ago – see, for instance, [19]. The essence of the effect, however, was a fact well known to our ancestors and it was behind various juridical acts attempting to prevent a land structure disintegration. One can mention the so-called birthright edict – a part of the legal reform of the Habsburg Emperor Xxxxxx XX dated 1787 – which did not allow to split the land below 40 “measures”, which is roughly 7.6 ha or 19 acres. This law was valid until the year 1869 when the rural land market – representing the random part of the dynamics (1) – became vivid enough and the edict became obsolete. The imperial act allowing the free divisibility and exchangeability of land (in Moravia, from which our data are taken, it was valid already one year earlier, in 1868) caused an unprecedented increase of the land exchange. For example, according to [20] in average 10% of estates changed the proprietary relations yearly during the period 1869–87. What we find in the present cadastral data is thus a result of a process that started in 1868, some five generations ago. At the beginning it was marked by an boosted land exchange and the dynamics became steady only about a generation later. While these fact are documented, one may speculate about other factors having impact of the dynamics, in particular, changes in the population structure. It is obvious that that the natality and the number of offsprings living up to the adulthood were considerably higher at the beginning of the process, and as a result, the distribution of the land co-ownership was different from the present data. Unfortunately, the digitalized Czech land registry does not contain such a history record – all we see is a snapshot of the recent situation. In the light of these comments indicating how simplified our model dynamics (1)) is, it is surprising and worth of attention how well do its result agree with the observed acreage probability distribution. One more comment is needed before the results can be presented. We are dealing with all the plots contained in digitalized cadastral map with the exception of the build up areas. The reason for this methodical choice is simple: build up areas are places where building stand. In the cadastral map, however, we see only the ground plane, i.e. the pr...
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