AutoCellRow (ACR) "A new tool ror the automatic quantification of cell radial files in conifer images" 2.1. Документ, на основании которого осуществляется внешнеэкономическая операция Устав СФУ п. 2.3 части II 2.2. Страна назначения (отправления) Германия 2.3. Российский участник внешнеэкономической операции Федеральное государственное автономное образовательное учреждение высшего образования «Сибирский федеральный университет», 660041, Российская Федерация, г. Красноярск, пр. Свободный, 79, т. +7 (391) 291-27-36 2.4. Иностранные участники внешнеэкономической операции журнал "Dendrochronologia" 2.4.1. Покупатель (продавец) -2.4.2. Потребитель (конечный пользователь) -3. Сведения об идентифицируемых товарах и идентифицируемых продуктах научно-технической деятельности № объекта Наименование Код ТН ВЭД ЕАЭС Описание

Quantitative wood anatomy (QWA) is widely used to resolve a fundamental problem of tree responses to past, ongoing and forecasted climate changes. Potentially, QWA data can be considered as a new proxy source for long-term climate reconstruction with higher temporal resolution than traditional dendroclimatic data. In this paper, we considered a tracheidogram as a set of two interconnected variables describing the dynamics of seasonal variability in the radial cell size and cell wall thickness in conifer trees. We used 1386 cell profiles (tracheidograms) obtained for seven Scots pine (Pinus sylvestris) trees growing in the cold semiarid conditions of Southern Siberia over the years 1813–2018. We developed a “deviation tracheidogram” approach for adequately describing the traits of tree-ring formation in different climate conditions over a long-term time span. Based on the NbClust approach and K-means method, the deviation tracheidograms were reliably split into four clusters (classes) with clear bio-ecological interpretations (from the most favorable growth conditions to worse ones) over the years 1813–2018. It has been shown that the obtained classes of tracheidograms can be directly associated with different levels of water deficit, for both the current and previous growing seasons. The tracheidogram cluster reconstruction shows that the entire 19th century was characterized by considerable water deficit, which has not been revealed by the climate-sensitive tree-ring chronology of the study site. Therefore, the proposed research offers new perspectives for better understanding how tree radial growth responds to changing seasonal climate and a new independent proxy for developing long-term detailed climatic reconstructions through the detailed analysis of long-term archives of QWA data for different conifer species and various forest ecosystems in future research.

There are many different methods and tools for data analysis in dendrochronology. Modeling is one of them. One of the main issues in modeling is a choice of the main factors. Сlimatic data (temperature and precipitation) are the most common and affordable of them. Based on Vaganov -Shaskin model the new algorithm of visual parameterization of three-ring growth -VS-oscilloscope was developed. Algorithm was tested on different species of woody plants -Larix gmelini and Picea obovata. A new parameterization and analysis of modeling results help to evaluate conditions of area of growth of woody plants, based on dynamic of two climate variables: temperature and precipitation, withoutadding information about area of growth.