The MaxEnt software package is one of the most popular tools for species-distribution modeling. Despite its popularity, researchers usually underestimate the influence of the initial parameters and spatial bias in the occurrence data. The choice of the feature types and regularization multiplier notably affects the spatial “compactness” or “smoothness” of the model. A nonrandom distribution of occurrence points in geographical space requires data correction. The determination of the ecological factors that influence the range formation require the minimization of multicollinearity in the predictor dataset.

For a long time, studies of the distribution of living beings in a geographical space were performed only with empirical methods. A change in the view of a species distribution as a projection of a Hutchinsonian ecological niche led to the formation of the discipline of ecological modeling of the species distribution, which switched faunistics/floristics from data accumulation to a full-fledged scientific industry with experiment planning and result verification. The various methods of species-distribution modeling make it possible to analyze the patterns of the geographical distributional of organisms in the presence of methodological challenges: nonrandomness of the occurrence data, inhomogeneity of the collection efforts, landscape heterogeneity in different scales, etc. The results of species-distribution modeling represent spatially continuous data of habitat suitability and are valuable not only for studies of the habitats themselves but also for a number of disciplines that involve species distributions.

Based on the maximum entropy approach released in MaxEnt Software, cartographic models were designed for the spatial distribution of 63 species of vascular plants inhabiting the low mountain belt of the Tukuringra Ridge. The initial data for modeling were the actual localities of species records, data on remote sensing (Landsat multispectral space images), and a digital elevation model. It was found that the structure of factors contributing to the model is related to species ecological amplitude. The distribution of stenotopic species is determined mainly by topography, which is associated with the thermal and humidity conditions of the habitats. Variables based on remote sensing contribute significantly to the models for eurytopic species, and these variables encompassed parameters of the soil and vegetation. In the course of analysis of the obtained models, three principal groups of species were determined. These groups have similar distribution patterns. Species of the first are restricted in their distribution by the slopes of Zeya and Gilyui river gorges. Species of the second are associated with the southern macroslope of the ridge and with the southern slopes of large river valleys. The third group includes species distributed over the entire studied territory.