The Distribution Characteristics of Vegetation in the Subrange of the Altai Mountains, Xinjiang.

The Altai Mountains are an important center of biodiversity and are a major habitat for threatened and endemic species in Asia. Moreover, the Altai Mountains are a valuable site for the study of the evolution of central Asian vegetation. The Xinjiang Altai subrange represents the largest part of the southern Altai Mountains and has many unique plant communities. After conducting a thorough literature review and field investigation, we utilized the Chinese vegetation categorization system to identify the dominant plant communities in the Xinjiang Altai subrange and report their composition and distribution characteristics. Our results show that (1) the natural plant communities present in the Xinjiang Altai subrange can be divided into eight vegetation types, eighteen vegetation subtypes, and 50 communities. Among these, two communities-Form. Calligonum rubicundum and Form. Seriphidium borotalense-Festuca valesiaca-are present only in the Xinjiang Altai subrange. (2) The Xinjiang Altai subrange is located at the junction of three major biomes containing unique vegetation types (coniferous forest, temperate broadleaf forest, and desert). Thus, the Xinjiang Altai subrange is distinct in its staggered transition from mountainous boreal taiga to temperate desert. This research provides textual data to contextualize the cultural heritage of the Xinjiang Altai subrange and also provides a scientific basis for the protection and sustainable management of natural resources found in the Xinjiang Altai.

The Main Medicinal Plants in Arid Regions of Uzbekistan and Their Traditional Use in Folk Medicine.

Seventy percent of the territory of Uzbekistan consists of arid regions. This situation is considered very favorable for plants adapted to a desert climate. Medicinal plants distributed in the arid regions of Uzbekistan have not been studied much. Medicinal plants are considered inexpensive, yet are vital for the lives of local residents. They play a very important role in the traditional healing of ailments. To determine the current state of medicinal plants and enhance their subsequent protection and sustainable use, it is necessary to obtain annual information on the state of their distribution, their population size, and the impact of negative factors on their populations. Based on our field studies, which were conducted during the period from 2012 to 2022 in the arid regions of Uzbekistan, we updated the checklists of the main medicinal plants used in these regions. A total of 529 medicinal species belonging to 70 families and 269 genera were identified in the study region. Several species, including Peganum harmala L., Capparis spinosa L., Ferula foetida (Bunge) Regel, Glycyrrhiza glabra L., Alhagi pseudalhagi (M. Bieb.) Desv. ex Wangerin, Lagochilus inebrians Bunge, Xanthium strumarium L., Silybum marianum (L.) Gaertn., Onopordum acanthium L., Ziziphora tenuior L., and Cichorium intybus L., are spread over large areas and have been used regularly by the locals since ancient times. These species are common in saline and degraded soils in arid regions of Uzbekistan. Semi-structured interviews were conducted with tabibs (traditional doctors), elders, herders, and residents with experience in traditional healing using medicinal plants. The medicinal value of most plants was based on the interviews with representatives of the local population, which were useful for understanding traditional healing skills and customer service skills.

Analysis of complete chloroplast genome sequences and insight into the phylogenetic relationships of Ferula L.

BACKGROUND: Ferula L. is one of the largest and most taxonomically complicated genera as well as being an important medicinal plant resource in the family Apiaceae. To investigate the plastome features and phylogenetic relationships of Ferula and its neighboring genera Soranthus Ledeb., Schumannia Kuntze., and Talassia Korovin, we sequenced 14 complete plastomes of 12 species.  RESULTS: The size of the 14 complete chloroplast genomes ranged from 165,607 to 167,013 base pairs (bp) encoding 132 distinct genes (87 protein-coding, 37 tRNA, and 8 rRNA genes), and showed a typical quadripartite structure with a pair of inverted repeats (IR) regions. Based on comparative analysis, we found that the 14 plastomes were similar in codon usage, repeat sequence, simple sequence repeats (SSRs), and IR borders, and had significant collinearity. Based on our phylogenetic analyses, Soranthus, Schumannia, and Talassia should be considered synonymous with Ferula. Six highly divergent regions (rps16/trnQ-UUG, trnS-UGA/psbZ, psbH/petB, ycf1/ndhF, rpl32, and ycf1) were also detected, which may represent potential molecular markers, and combined with selective pressure analysis, the weak positive selection gene ccsA may be a discriminating DNA barcode for Ferula species. CONCLUSION: Plastids contain abundant informative sites for resolving phylogenetic relationships. Combined with previous studies, we suggest that there is still much room for improvement in the classification of Ferula. Overall, our study provides new insights into the plastome evolution, phylogeny, and taxonomy of this genus.

Thesium longiperianthium (Santalaceae), a new replacement name for T. brevibracteatum P.C.Tam.

BACKGROUND: Thesium brevibracteatum P.C.Tam was described, based on the specimen L.C.Chiu 5128 collected from Inner Mongolia, China. The name Thesium brevibracteatum Sumnev. is validly published and described for the type (Korotkova E. E. et Titov V. S. 1502) collected from Uzbekistan. T. brevibracteatum P.C.Tam is a later homonym of T. brevibracteatum Sumnev. NEW INFORMATION: We propose T. longiperianthium as the replacemen name for T. brevibracteatum P.C. Tam.

Differences in spatial versus temporal reaction norms for spring and autumn phenological events.

For species to stay temporally tuned to their environment, they use cues such as the accumulation of degree-days. The relationships between the timing of a phenological event in a population and its environmental cue can be described by a population-level reaction norm. Variation in reaction norms along environmental gradients may either intensify the environmental effects on timing (cogradient variation) or attenuate the effects (countergradient variation). To resolve spatial and seasonal variation in species' response, we use a unique dataset of 91 taxa and 178 phenological events observed across a network of 472 monitoring sites, spread across the nations of the former Soviet Union. We show that compared to local rates of advancement of phenological events with the advancement of temperature-related cues (i.e., variation within site over years), spatial variation in reaction norms tend to accentuate responses in spring (cogradient variation) and attenuate them in autumn (countergradient variation). As a result, among-population variation in the timing of events is greater in spring and less in autumn than if all populations followed the same reaction norm regardless of location. Despite such signs of local adaptation, overall phenotypic plasticity was not sufficient for phenological events to keep exact pace with their cues-the earlier the year, the more did the timing of the phenological event lag behind the timing of the cue. Overall, these patterns suggest that differences in the spatial versus temporal reaction norms will affect species' response to climate change in opposite ways in spring and autumn.

Author Correction: Chronicles of nature calendar, a long-term and large-scale multitaxon database on phenology.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Chronicles of nature calendar, a long-term and large-scale multitaxon database on phenology.

We present an extensive, large-scale, long-term and multitaxon database on phenological and climatic variation, involving 506,186 observation dates acquired in 471 localities in Russian Federation, Ukraine, Uzbekistan, Belarus and Kyrgyzstan. The data cover the period 1890-2018, with 96% of the data being from 1960 onwards. The database is rich in plants, birds and climatic events, but also includes insects, amphibians, reptiles and fungi. The database includes multiple events per species, such as the onset days of leaf unfolding and leaf fall for plants, and the days for first spring and last autumn occurrences for birds. The data were acquired using standardized methods by permanent staff of national parks and nature reserves (87% of the data) and members of a phenological observation network (13% of the data). The database is valuable for exploring how species respond in their phenology to climate change. Large-scale analyses of spatial variation in phenological response can help to better predict the consequences of species and community responses to climate change.