ИСТИНА

Russian part of the Amur River catchment area is the immense territory with diverse bioclimatic conditions. The aim of the study is to show main phytogeographical patterns of this area with using species distribution modeling (SDM) approach. SDM allows to determine response between species occurrences and environmental conditions as well as provide understanding of species distribution ranges with strong predictive capability. We selected 100 vascular plants species with diverse geographical distribution over the study area and a variety of zonal and altitudinal patterns. For the first time to East Siberia and the southern part of the Far East we form a dataset with 12371 georeferenced records and published it via GBIF: (https://www.gbif.org/dataset/0c7bd9e3-ded7-4de4-99ec-d5145361ff48). The dataset includes specimens of vascular plants deposited in seven major Russian herbaria: LE, MW, MHA, VLA, VBGI, NSK, and TK. collected in the Amur Basin and adjacent seacoast in Russian Federation from 19th century. We georeferenced specimens manually using label localities. Based on this data we calculate species distribution models using MaxEnt. We choosed climatic (CHELSA bioclim and Global 1-km Cloud Cover variables) and remote sensing (MODIS land surface temperature, MODIS EVI) data as environmental predictors. Obtained models are adequately reflect the species ranges in the Amur river basin. We carried out an integral analysis of received models using clustering (Ward method). As a results we derived 11 clusters of species with similar distribution within study extent and estimated their climatic ranges. The identidied groups of species indicate the distribution of the main vegetation communities types. Consequently we provided new phytogeographical data of vascular plants distribution in the Russian part of the Amur basin and mobilized herbarium specimens for further research.