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In Eastern Europe, near-natural forest patches are decreasing and are gradually replaced by non-native plantations. Tree plantations are commonly thought to be simple ecosystems with low conservation value, although this conclusion is mainly based on simple taxonomic diversity indices, which ignore functional and phylogenetic diversity. In this study, our objective was to compare species composition, diagnostic species, taxonomic, functional, and phylogenetic diversity, as well as naturalness status between two near-natural forest types (Quercus-Tilia and Populus alba) and two common plantation types (non-native Pinus sylvestris and non-native Robinia pseudoacacia) in the Deliblato Sands, Serbia. Our results showed that the species composition significantly differed in the four habitats. Each habitat had some species that were significantly concentrated in them. Most of the diagnostic species in the Quercus-Tilia forests were forest specialist plant species, while those in Populus alba forests were species associated with warmer and drier habitats, whereas the plantations hosted diagnostic species with broader ecological tolerances. Native species richness, total species diversity, and functional and phylogenetic diversity were similar in the four studied habitats, which can be explained by the combined effects of light regime and naturalness. We assessed low naturalness (i.e. high degradation) in plantations, which can be expected to reduce diversity. However, higher light availability was probably able to compensate for this effect. Non-native plantations, especially Robinia pseudoacacia plantations, were the most degraded and hosted the highest non-native species richness, implying that they are ecologically undesirable. In light of our results, we suggest that near-natural forest stands should be protected and efforts to restore these forests should be given high priority. Furthermore, it is advisable to continue with a forestry strategy that involves replacing non-native plantations with native ones, such as Tilia tomentosa, in the Deliblato Sands.

We report the decisions made by the Assembly of the Group of Phytosociological Nomenclature (GPN) in 2023 on previous recommendations of the Committee for Change and Conservation of Names (CCCN). Further, we discuss eight Requests for a binding decision and nine nomenclatural Proposals. Recommendations on acceptance or rejection of these Proposals are provided. We recommend the conservation of the following names: Mesobromion erecti (Braun-Blanquet et Moor 1938) Zoller 1954, Galio sylvatici-Carpinetum betuli Oberdorfer 1957, Lithospermo-Carpinetum betuli Oberdorfer 1957, Nanocyperetalia Klika 1935, Isoetetalia Braun-Blanquet 1936 and Molinio arundinaceae-Quercetum Neuhäusl et Neuhäuslová-Novotná 1967. Abbreviations: CCCN = Committee for Change and Conservation of Names; GPN = Working Group for Phytosociological Nomenclature; ICPN = International Code of Phytosociological Nomenclature; VCS = Vegetation Classification and Survey.

The article deals with forest communities that develop on small surfaces on steep gradients of the geomorphologically diverse landscape of the Kras plateau. They appear in small depressions called dolines, where a steep gradient of ecological conditions appears over a small spatial scale. We tried to detect the turnover of forest communities on this small scale and steep gradient with small plots (microplots) of 4 ​m2 arranged in a continuous transect. We sampled only the ground layer and estimated the cover of each vascular plant species. The main problem was that we could not sample vegetation plots in standard sizes, which would allow a standard classification procedure. We built an expert system based on all of the relevant standard vegetation plots from the region and applied this system on a microplot matrix. We classified one third of microplots in this way, but the remainder were classified by semi-supervised k-means clustering. We thus established 8 communities that appear in dolines and compared their characteristics and ecological conditions by Ellenberg indicator values. Our results show that oak-hornbeam forests can be found in the bottom of dolines. Towards the bottom of deeper dolines, mesophilous ravine forests dominated by sycamore on rocky places, and sessile oak forests on deeper soils appear. On lower slopes, thermophilous ravine forests dominated by limes appear on rocky places. Upper slopes are dominated by Turkey oak, hophornbeam-pubescent oak forests and shrub formations. Turkey oak forests can be found on rather deeper soils than hophornbeam-pubescent oak forests. At the top, hophornbeam-pubescent oak forests can be found that build the zonal vegetation of the region. On rock walls vegetation of rock crevices can be found. The high biodiversity of the region supports the idea that diverse karstic features might have the potential for formation of refugia in future foreseen climate change, related to the potential of karstic relief to create diverse climatic conditions.

In this Report, three previously published nomenclatural proposals are discussed, and recommendations on acceptance or rejection of these proposals are provided. The proposals concern the following syntaxa: Berberidion Braun-Blanquet 1950, Aceretalia pseudoplatani Moor 1976 and Festucetalia valesiacae Braun-Blanquet et Tüxen ex Braun-Blanquet 1950. Abbreviations: CCCN = Committee for the Change and Conservation of Names; GPN = Working Group for Phytosociological Nomenclature; ICPN = International Code of Phytosociological Nomenclature.

Aristolochia clematitis L. is a perennial herbaceous plant distributed throughout Europe, Asia Minor and Caucasus. It has been used as a medicinal plant since antiquity but not in recent times because it contains poisonous aristolochic acid, causing progressive kidney failure. The aim of this work was to study Aristolochia clematitis ecology on the basis of vegetation plots from the European Vegetation Archive, and to investigate the differentiation of its ecological niche using a co-occurrence-based measure of ecological specialization (ESI). The ecological niche was studied on three spatial scales: on the entire distribution area, its differentiation across 200 × 200 km grid cells and the differences between three central and three marginal regions. Our results suggest that Aristolochia clematitis has a very broad ecological niche occurring in a range of different habitats and climatic conditions, with a trend of a niche width decrease with the distance from the geographical center. The plant prefers more stable communities with less anthropogenic influence moving towards the margin of the distribution area. Specialization towards the marginal area is a result of evolutionary history, which refers to the recent anthropogenically induced spread from its original home range. A high incidence of Aristolochia clematitis in the vegetation of arable lands and market gardens as well as anthropogenic herbaceous vegetation in the distribution center corresponds to the geographical incidence of Balkan Endemic Nephropathy.

In this research, we analyzed functional plant traits and life forms of plant species growing on five forest gaps in the Dinaric fir–beech forest in Slovenia. The forest gaps were created as a result of natural disturbances. We selected 18 functional plant traits, whose values were obtained from the BiolFlor database. With the help of the JUICE program, we calculated the frequency of occurrence in individual forest gaps for each functional plant trait. Then, we calculated Spearman’s correlation coefficient at p < 0.05 between the occurrence of individual functional plant traits and each forest gap. Individual locations differed statistically in 87 categories of plant functional traits. The forest gap Nad Drago differed statistically from the other forest gaps in 16 functional plant traits. Forest gaps are mainly colonized by perennials and herbaceous perennials and chamaephytes. These are plant species that begin to flower in June and July, bloom for two or three months, and are pollinated by insects, mainly hover flies and wild bees. This colonizing plant species reproduce via seeds or spores and vegetatively. Furthermore, birds and forest mammals are the vectors of fruit and seed dispersal.

This study presents the results of an in-depth study on landscape changes over the last two centuries in the region of Bela krajina, south-eastern Slovenia. Since this region is situated along the Slovenian–Croatian border, immigration and emigration are permanent fixtures in the region. Due to historical reasons, population structure and land use changes occurred. With regard to these processes, two case studies were selected: settlements of Adlešiči and Bojanci. Adlešiči is a village mainly inhabited by farmers of catholic religion. Bojanci was colonized by Orthodox Uskoki, i.e. refugees from Ottoman Empire who become Habsburg soldiers who lived a military life and had different attitude towards land cultivation. Landscapes in these two settlements have its own distinctive patterns contrasting to each other in the land use, showing historically distinctive cultural landscapes. The study aimed to interpret the development of cultural landscapes in these settlements by analysing the land use changes and identifying the factors that influenced it. Even though these sites have different management regimes, they are both affected by difficult karst terrain and isolation. The results confirmed the land abandonment and overgrowth of agricultural land in both case studies, however, at different rates.

Wetland forests and scrub (WFS) are conditioned by the strong impact of water. They consist of various vegetation types, depending on many factors such as type and duration of flooding, water table level and its fluctuation, river current strength, substrate ability to retain water, etc. WFS vegetation has been insufficiently studied in the Balkan Peninsula, especially in Bosnia and Herzegovina. By means of numerical classification, we aimed to classify Western Balkans WFS at the alliance level, and to identify the main underlying ecological gradients driving the variation in species composition. The dataset containing all published and available unpublished relevés from Slovenia, Croatia and Bosnia and Herzegovina was first classified using the EuroVegChecklist Expert System in Juice software in order to assign the corresponding class to each of the relevés. Relevés were subsequently analyzed within each of the four WFS classes (Alno glutinosae-Populetea albae, Salicetea purpureae, Alnetea glutinosae and Franguletea). Cluster analysis resulted in eight alliances, Salicion albae, Salicion triandrae, Salicion eleagno-daphnoidis, Alno-Quercion, Alnion incanae, Alnion glutinosae, Betulion pubescentis and Salicion cinereae, while one cluster could not be assigned with certainty. Edafic factors were found to be the most important factors determining the floristic composition and syntaxa differentiation of WFS in the study area.

In this study, the objects of research were circular and concave karstic depressions, called sinkholes or dolines. All these negative topographic anomalies were previously recognized as safe havens for cool-adapted species on karstic plateaus. However, the high geodiversity of doline landforms on karst plateaus does not ensure that all dolines are really safe havens that should be considered for conservation status. We propose the use of indicator species to identify different dolines' “sections” and their overall types to identify dolines with high conservation value for cool-adapted species. We aimed to divide dolines into landform-vegetation units (LVU) according to basic geomorphic characteristics and indicator plant species.We carried out intensive sampling of vegetation plots (n = 286) across 10 dolines of different geomorphology ranging from 20 m to 100 m in diameter and from 2 m to 20 m in depth. Each doline was classified into a maximum of four LVUs: bottom, lower slope, upper slope and top. Vascular plants were used as a proxy for ecosystem biodiversity and indicator of ecological conditions. The diversity of vascular plant communities was sampled along N–S transects from one side of the doline over the bottom to the other side. Geodiversity parameters of individual dolines were calculated using a high-resolution digital elevation model (LiDAR / Light Detection And Ranging) and their significance was established by permutation test in CCA (Canonical Correlation Analysis). The floristic gradient was established by the first axis of PCoA (Principal Coordinates Analysis) and shows the species turn-over along the trajectory. Discrete plant communities were determined by TWINSPAN (Two-Way Indicator Species ANnalysis) classification. Based on this analysis, transects were disintegrated into four LVUs. Communities within LVUs were compared by Ellenberg indicator values and according to habitat preference of species. The indicator (also termed diagnostic) plant species were calculated by fidelity measure and related to ecological conditions along transects.We found that all four LVUs appear only in dolines that are at least 13.5 m deep and those can serve as a good safe haven for cool-adapted species in foreseen climatic change. We also confirmed that doline depth is the most important factors influencing the plant community composition. The results can be directly transformed to other karst regions (karst plateaus) with the same zonal vegetation, but calibration is needed in case of their application in other areas.

Aims: The accurate classification of habitats is essential for effective biodiversity conservation. The goal of this study was to harness the potential of deep learning to advance habitat identification in Europe. We aimed to develop and evaluate models capable of assigning vegetation‐plot records to the habitats of the European Nature Information System (EUNIS), a widely used reference framework for European habitat types. Location: The framework was designed for use in Europe and adjacent areas (e.g., Anatolia, Caucasus). Methods: We leveraged deep‐learning techniques, such as transformers (i.e., models with attention components able to learn contextual relations between categorical and numerical features) that we trained using spatial k‐fold cross‐validation (CV) on vegetation plots sourced from the European Vegetation Archive (EVA), to show that they have great potential for classifying vegetation‐plot records. We tested different network architectures, feature encodings, hyperparameter tuning and noise addition strategies to identify the optimal model. We used an independent test set from the National Plant Monitoring Scheme (NPMS) to evaluate its performance and compare its results against the traditional expert systems. Results: Exploration of the use of deep learning applied to species composition and plot‐location criteria for habitat classification led to the development of a framework containing a wide range of models. Our selected algorithm, applied to European habitat types, significantly improved habitat classification accuracy, achieving a more than twofold improvement compared to the previous state‐of‐the‐art (SOTA) method on an external data set, clearly outperforming expert systems. The framework is shared and maintained through a GitHub repository. Conclusions: Our results demonstrate the potential benefits of the adoption of deep learning for improving the accuracy of vegetation classification. They highlight the importance of incorporating advanced technologies into habitat monitoring. These algorithms have shown to be better suited for habitat type prediction than expert systems. They push the accuracy score on a database containing hundreds of thousands of standardized presence/absence European surveys to 88.74%, as assessed by expert judgment. Finally, our results showcase that species dominance is a strong marker of ecosystems and that the exact cover abundance of the flora is not required to train neural networks with predictive performances. The framework we developed can be used by researchers and practitioners to accurately classify habitats. [ABSTRACT FROM AUTHOR]

We analyzed plants and their traits in dolines, which are characteristic enclosed terrain depressions on carbonate (karst) plateaus. These landforms range from a few meters to over 100 m in diameter, their depth generally varying from a few meters to a few tens of meters. A pronounced ecological gradient can be found from the bottom to the top, starting from humid, cool and shaded bottoms to sunny, dry and warm slopes and tops. We sampled dolines of various depths and analyzed the distribution of plant species on the gradient and how this distribution is reflected in plant traits: chorotypes, life forms, plant architecture and strategies. We used the transect method and sampled the floristic composition from the doline bottom to the top. We collected information about plant traits from various literature sources. The results show life forms and plant architecture explain this gradient well and, to a lesser extent, also chorotypes, but functional strategies have a low explanatory power. Life forms and plant architecture are the result of adaptation of species to the environment, and chorotypes are defined as species with an overlapping geographical distribution pattern due to their distribution and environmental histories. Functional strategies, which have evolved to enable plants to succeed in various environments, unexpectedly have a low explanatory power.

Sand dunes are one of the critically endangered habitats in Europe. This vegetation type is under a strong anthropogenic influence. Its natural value is very high since many plant species with a narrow distribution are found there. The classification of Serbian sand-dune vegetation and the status of the described associations has not been validated by numerical analyses. This research presents an evaluation of sand-dune vegetation in Serbia on the basis of literature data, as well as new releves. Psammophytic vegetation in Serbia was classified into two alliances, annual and ruderal Bassio laniflorae-Bromion tectori and perennial Festucion vaginate. The aim of this research was the classification of the alliance Festucion vaginatae, perennial, drought-tolerant, tussock-forming vegetation on sand. As proposed by OptimClass, Jaccard distance and flexible beta data (β=-0.25) were used for the classification. Classification results were confirmed by detrended correspondence analysis (DCA) ordination. The result of the classification established that only two associations, Alysso gmelini-Festucetum vaginatae and Festucetum vaginatae, are present in Serbia. These associations are divided into groups that mostly correspond to traditional subassociations. [Project of the Serbian Ministry of Education, Science and Technological Development, Grant no. III43002: Biosensing technology and global systems for continuous research sand integrated management of ecosystems]

We studied species turnover and changes of ecological conditions and plant strategies on forest gaps created by natural disturbances (sleet, windthrow). We studied five forest gaps and a control plot within in the Dinaric silver fir-beech forest in the southern part of Slovenia. Forest gaps varied in age and size. The total number of recorded species in gaps was 184, with the highest number (106) at the largest forest gap and with the 58 species at the control locality in a juvenile beech forest. Forest gaps were predominantly colonised mostly by species of understory, forest margins, and forest clearings. The species presented in all forest gaps are representatives of the understory of beech forests. Species colonising forest gaps prefer habitats with more sunlight, medium wet to dry soil, and are tolerant to high daily and seasonal temperature fluctuations. In gaps, the community of plant species has a competitive strategy, which is also complemented with a stress-tolerator strategy. We determined that a forest gap represents a significant habitat patch, especially for those plant species which were not present there before.