Ecological and physiological modelling of mixed stand dynamics

Modelling the dynamics of forest ecosystems is an urgent task, as the volume of publications in the Russian and world press demonstrates. In the proposed work, a new ecological and physiological model of a mixed forest stand has considered. Basically, it proceeds from the ecological and physiological model of a single-breed forest stand, that had obtained from the analysis of the behavior of an open thermodynamic system, which is a forest ecosystem. Four differential equations are required to describe a two-species stand, with the mutual influence of species being expressed both in interspecific competition for a resource and in mutual ‘support’ in the growth of the trees. The model of mixed stand with two species contains 10 independent parameters that have a clear physical meaning. Six parameters relate to the dynamics of each species, and four ones take into account the interactions of the species during growth. The verification of the model is presented by calculating the biomass dynamics for full two-stage aspen-spruce stands of European part (middle taiga ecoregion) of the first appraisal area. The presented model of the dynamics of forest ecosystems can be used in practical forestry, especially in the transition from an extensive method of forestry to an intensive one.

Analysis of Biological Framework and Incorporating Physiological Modelling

Biological frameworks for over the past few decades have been concentrating on the incorporation of medicine and biology including computation and information technology. The present problem is the utility of medical discoveries that have been recorded for over two decades till now: Proteomics and genomics have been projected to develop targeted therapeutically approaches. These approaches are the due to the understanding of the aetiological of the sophisticate illnesses. There are various efforts that are meant to enhance the human physiome based on the evaluation of weaknesses and strengths which will be evaluated in this research. The enhancement of the human framework with validation, documentation and verification of the integrative and underlying feedback is fundamental to project the usable ecosystem. Upcoming developments of the human framework necessitate the integrative physiologists operating in the connection of other scientists. These are some of the scientists with the professionalism in the areas of human biology. These experts are to propose a usable and accurate human framework.

Growth of the coccolithophore <i>Emiliania huxleyi</i> in light- and nutrient-limited batch reactors: relevance for the BIOSOPE deep ecological niche of coccolithophores

Coccolithophores are unicellular calcifying marine algae that play an important role in the oceanic carbon cycle via their cellular processes of photosynthesis (a CO2 sink) and calcification (a CO2 source). In contrast to the well-studied, surface-water coccolithophore blooms visible from satellites, the lower photic zone is a poorly known but potentially important ecological niche for coccolithophores in terms of primary production and carbon export to the deep ocean. In this study, the physiological responses of an Emiliania huxleyi strain to conditions simulating the deep niche in the oligotrophic gyres along the BIOSOPE transect in the South Pacific Gyre were investigated. We carried out batch culture experiments with an E. huxleyi strain isolated from the BIOSOPE transect, reproducing the in situ conditions of light and nutrient (nitrate and phosphate) limitation. By simulating coccolithophore growth using an internal stores (Droop) model, we were able to constrain fundamental physiological parameters for this E. huxleyi strain. We show that simple batch experiments, in conjunction with physiological modelling, can provide reliable estimates of fundamental physiological parameters for E. huxleyi that are usually obtained experimentally in more time-consuming and costly chemostat experiments. The combination of culture experiments, physiological modelling and in situ data from the BIOSOPE cruise show that E. huxleyi growth in the deep BIOSOPE niche is limited by availability of light and nitrate. This study contributes more widely to the understanding of E. huxleyi physiology and behaviour in a low-light and oligotrophic environment of the ocean.

Growth of the coccolithophore <i>Emiliania huxleyi</i> in light- and nutrient-limited reactors: relevance for the BIOSOPE deep ecological niche of coccolithophoresbatch

Coccolithophores are unicellular, calcifying marine algae that play an important role in the oceanic carbon cycle via their cellular processes of photosynthesis (a CO2 sink) and calcification (a CO2 source). Alongside the well-known, shallow-water coccolithophore blooms visible from satellites, deep niches of coccolithophores are a poorly known but potentially important coccolithophore ecosystem. We investigated the conditions that regulate the development of a deep coccolithophore niche (150–200 m depth) along the BIOSOPE transect in the South Pacific oceanic gyre. We carried out batch culture experiments with a coccolithophore strain isolated from the BIOSOPE transect, reproducing the in situ conditions of light- and nutrient- (nitrate and phosphate) limitation. By simulating coccolithophore physiology using an internal stores (Droop) physiological model, we were able to constrain fundamental physiological parameters for this BIOSOPE coccolithophore strain. We show that simple batch experiments, in conjunction with physiological modelling, can provide reliable estimates of fundamental physiological parameters that are usually obtained in more time consuming and costly chemostat experiments. The combination of culture experiments, physiological modelling and in situ data from the BIOSOPE cruise show that coccolithophore growth in the deep BIOSOPE niche is co-limited by availability of light and nitrate. This study contributes to the understanding of Emiliania huxleyi physiology, metabolism and behavior in a disadvantageous ecosystem of the ocean.

Towards the Design of a Patient-Specific Virtual Tumour

The design of a patient-specific virtual tumour is an important step towards Personalized Medicine. However this requires to capture the description of many key events of tumour development, including angiogenesis, matrix remodelling, hypoxia, and cell state heterogeneity that will all influence the tumour growth kinetics and degree of tumour invasiveness. To that end, an integrated hybrid and multiscale approach has been developed based on data acquired on a preclinical mouse model as a proof of concept. Fluorescence imaging is exploited to build case-specific virtual tumours. Numerical simulations show that the virtual tumour matches the characteristics and spatiotemporal evolution of its real counterpart. We achieved this by combining image analysis and physiological modelling to accurately described the evolution of different tumour cases over a month. The development of such models is essential since a dedicated virtual tumour would be the perfect tool to identify the optimum therapeutic strategies that would make Personalized Medicine truly reachable and achievable.