Spatial organization of regional mesoclimate

In this article the method of derivation of the hierarchical levels of organization of climatic variables or regional scale is considered. Based on the Worldclim database, the main integral factors reflecting the variation of climatic variables are identified, and then decomposed into hierarchical levels with different linear dimensions of oscillations. Hierarchical levels are distinguished through the study of the fractal dimensions of different parts of the spectrum of the obtained factors and the isolation of subharmonics on the basis of an analysis of the residues of the fractal model. The analysis shows the existence of a complex hierarchical organization of the region's mesoclimate. The approach makes it possible to identify the most significant scales and amplitudes of fluctuations in climatic variables, both for natural and for agricultural ecosystems. Differentiation of the variation of climatic variables at different spatial scales and the influence of these elements on a specific ecosystem object creates a basis for constructing statistical models of ecosystem processes or yield patterns of various agricultural crops. The possibilities of visualization of climate variation at different hierarchical levels and reflection of equilibrium (normative) relations between the studied ecosystem processes and the current state of climate in the region are shown.</jats:p

Estimation of the thermodynamic parameters of land cover from multispectral measurements of reflected solar radiation (Landsat) in terms of nonextensive statistical mechanics

The use of the apparatus of nonadditive statistical mechanics for the evaluation of thermodynamic ecosystem variables based on multispectral measurements of reflected solar radiation is discussed. The parameter q is accepted corresponding to the conditions of the Förster’s maximum of organization. On the basis of remote information (Landsat) the entropy, Kullback information, Förster measure of organization, free energy, exergy, bound and internal energy, energy costs for evapotranspiration and photosynthesis for q-index values measured for each pixel of remote sensing scenes. It is shown that the seasonal dynamics of the q-index and the organization measures fully correspond to consequences that follow from the theory of open nonequilibrium systems, and thermodynamic variables reflect well the current state of ecosystems.</jats:p