The article presents a general classification of the models being developed in the area of sustainability arguing that the existing models represent the historical conceptualisation of sustainability starting from environmental constraints and moving towards economic valuation and social behaviour and policies. Coupled with computer power, sophisticated models with a varying levels of complexity have also been developed (static/dynamic; local/global; specific/general). However as any model is a simplification of the complex reality, the main purpose of any sustainability modelling (and the newly emerging area of sustainometrics) should be to allow dynamic representation, including the co-evolution of the sustainability systems and the role of humans as sustainability guardians.
The need to identify wood by its anatomical features requires a detailed analysis of all the elements that make it up. This is a significant problem of structural wood science, the most general and complete solution of which is yet to be sought. In recent years, increasing attention has been paid to the use of computer vision methods to automate processes such as the detection, identification, and classification of different tissues and different tree species. The more successful use of these methods in wood anatomy requires a more precise and comprehensive definition of the anatomical elements, according to their geometric and topological characteristics. In this article, we conduct a detailed analysis of the limits of variation of the location and grouping of vessels in the observed microscopic samples. The present development offers criteria and quantitative indicators for defining the terms shape, location, and group of wood tissues. It is proposed to differentiate the quantitative indicators of the vessels depending on their geometric and topological characteristics. Thus, with the help of computer vision technics, it will be possible to establish topological characteristics of wood vessels, the extraction of which would be used to develop an algorithm for the automatic classification of tree species.
Sustainability requires integrated models for the description of the co-evolving relationships between the economy, society and nature. The paper argues that information theory as a transdisciplinary approach can provide the basis for new theoretical and practical developments in the modeling of sustainability. The methodological problems of its present paradigms (cybernetic, epistemological and pragmatic) however are currently being challenged by the requirements of sustainability. There is a need for a new approach to modeling based on information theory taking into account the assumptions about the nature of information processes, i.e. that they are real, spontaneous and subject to the principle of information relevance. The new sustainability modeling also needs to include intelligence as an information category. A global green information system (GGIS) is a possible example for the application of these concepts.
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