Plant occurrences on the Rybachy and the Sredny Peninsulas, Murmansk Region, Russia: a dataset

The Rybachy and the Sredny Peninsulas are the northernmost part of Murmansk Region in the European part of Russia. While the most part of the Region is covered by boreal forest, the Peninsulas are covered by tundra. The vegetation and flora of Murmansk Region are well studied at present. The Peninsulas were first studied in 1829 by a Finnish botanist Jacob Fellman. The most comprehensive research was conducted in the late 19th - early 20th century. Nevertheless, the species composition of the Peninsulas' flora has changed significantly over the past 100 years due to land use and climate change. The aim of this dataset is to make the data on species occurrences for this territory digitally available via GBIF. To date, more or less complete digital floristic data were provided only by the project for digitising the book "Flora of Murmansk Region" (1953–1966). The present dataset is a part of the project studying the vegetation of the territory. We recorded the information about species frequency and distribution using the relevé method. We present a dataset based on 991 relevés from all vegetation types, which includes 16,289 records of georeferenced plant occurrences that belong to 568 species. There are 23 species of lichens (Ascomycota), 142 species of mosses (Bryophyta), three species of liverworts (Marchantiophyta) and 400 species of vascular plants (Tracheophyta) in the present dataset. The taxonomic diversity and unevenness result from the vegetation sampling. The data were collected in 2008, 2009, 2011, 2014 and 2015. The dataset cannot be considered as a complete vegetation database or a flora checklist, but it contains the occurrences and frequencies of the species from all the vegetation types.

Syntaxonomical and ecological diversity of the class Polygono-Poetea annuae in Bulgaria

Class Polygono-Poetea annuae Rivas-Mart. 1975 includes therophyte-rich vegetation on trampled habitats. The study presents the first analysis of the syntaxonomy of this class and its ecology in Bulgaria. One hundred seventy-five relevés from this class were collected and stored in the Balkan Vegetation Database during 2017–2020. Numerical classification (hierarchical divisive) and ordination were performed by JUICE and CANOCO software packages. Diagnostic species were determined by calculating the Phi-coefficient. Four associations, Sclerochloo durae-Polygonetum arenastri, Polygonetum arenastri, Lolio-Polygonetum arenastri and Poëtum annuae, were recognized. Their floristic composition has been shaped mainly by climatic and soil conditions. Sclerochloo durae-Polygonetum arenastri association has been found at lower altitudes, occurring in fully lighted habitats with high radiation, whereas Poëtum annuae has been found at higher altitudes in wetter and cooler areas. On the other hand, stands of Polygonetum arenastri have been found on nutrient-rich soils, whereas communities of Lolio-Polygonetum arenastri were distributed in warmer and nutrient-poor areas. The Polygono-Poetea annuae class is still poorly studied in Bulgaria and much more information from all regions of the country needs to be collected and analyzed.

CHECKLIST OF VEGETATION CLASSES OF BOSNIA AND HERZEGOVINA: HOW MUCH DO WE KNOW?

UDK: 581.5(497.6) The beginnings of vegetation research of Bosnia and Herzegovina (B&H), according to Braun-Blanquet’s approach, date back to early 1930s, culminated in the period of 60s-70s, and declined until the end of 20th century. Twenty years after the war B&H vegetation science hasn’t still achieved the pre-war level. The starting point for the preparation of the checklist of vegetation classes was the vegetation database of Bosnia and Herzegovina, which contains 6823 relevés, which were digitized and imported in TURBOVEG database for storage of large relevé datasets. Total of 4780 relevés were collected from 123 references (2906 regularly published, 1331 from grey literature and 543 from manuscripts), while 2043 are unpublished relevés, mainly recorded by the team of the Department of Forest Ecology at the Faculty of Forestry in Banja Luka. Analysis of this dataset suggests that vegetation of Bosnia and Herzegovina comprises 60 classes. According to the overviews of vegetation of Bosnia and Herzegovina published so far, the vegetation dominated by vascular plants numbers 33 and 39 classes respectively. This discrepancy can be partially attributed to different syntaxonomic concepts used in these overviews compared to the latest Checklist compiled at the European level (EuroVegChecklist), which was our guideline, but also to uneven level of elaboration of different vegetation types and geographical regions in B&H. Six classes of forest vegetation share almost 60% of the total number of relevés, while another six classes of various grasslands take another 25%. The other 15% is divided among the rest of 48 classes. Some of the classes without relevés are, in our own opinion, present in B&H, but still need to be confirmed, while the others, even though mentioned in literature, couldn’t be confirmed at the field after extensive research.

IFC-CENTRIC VEGETATION MODELLING FOR BIM

There has been a growing interest in integrating vegetation into the built environment in order to ameliorate the negative effects of increasing urbanisation. In Singapore, government policies encourage the inclusion of skyrise greenery into new and existing buildings. To further streamline workflows, statutory BIM (Building Information Modelling) submissions in architecture, engineering and construction (AEC) industries have been mandated. However, landscape plans are still excluded from these BIM submissions due to the lack of a centralised vegetation database and the absence of a standardised BIM format for landscape architectural submissions. This paper presents a streamlined methodology for creating and using a centralised vegetation library for landscape architects. The workflow leverages off the Industry Foundation Classes (IFC) standard for data exchange regardless of the BIM authoring software used and provides a framework of four operational modules: an expandable and low-maintenance species-level vegetation library, a BIM authoring workflow that allows inclusion of vegetation objects, an IFC interface, and a lightweight 3D vegetation model generator. This paper also showcases a use-case of embedding information-enriched 3D vegetation objects into a simulated landscape plan. The proposed workflow, when adopted in AEC industries, will enable governing agencies to track diverse greening efforts by the industry and to potentially include other measurements such as cooling performance or maintainability.

Analysis of pollen across the surface sediments of Lake Imbradas, Lithuania

In conventional pollen analysis, usually one sediment core per basin is analyzed to reconstruct past environmental conditions. This approach does not consider spatial heterogeneity of pollen assemblages, and assumes that one analyzed location is representative of the whole basin. To improve the spatial resolution of fossil pollen studies, further knowledge of the factors influencing variations in pollen assemblages throughout a basin is needed. We examined the spatial heterogeneity of pollen assemblages from 45 lacustrine surface samples from a lake with relatively simple hydrology and compared this dense network of surface pollen samples with the Lithuanian State Forest Service arboreal vegetation database. Calculations of pollen productivity at different locations across the lake revealed variations in the behavior of a pollen-vegetation relationship model in different parts of the basin. Our findings suggest that the model underestimated pollen contributions from the lakeshore vegetation. We demonstrate that detailed investigations of surface pollen as a step prior to fossil pollen investigations can provide useful insights, including understanding the influence of sedimentation rate on modelling results and spatial variations in pollen composition, thus providing guidance for site selection for fossil pollen studies.

Formalized classification of ephemeral wetland vegetation (Isoëto-Nanojuncetea class) in Poland (Central Europe)

Formalized classification of the class Isoëto-Nanojuncetea has not been performed in Poland. We used 69,562 relevés stored in Polish Vegetation Database. Based on the literature and expert knowledge we selected 63 diagnostic species for the Isoëto-Nanojuncetea class. Unequivocal classification was applied in this work according to Cocktail method. A set of formal definitions was established using a combination of logical operators of total cover of species in case of high-rank syntaxa while sociological species groups and cover of particular species were used for logical formulas describing class, alliances and associations. An Expert System was prepared and applied to classify the whole data set of PVD and 1,340 relevés were organized at the class level. We stratifies the data and finally we used data set of 903 relevés to prepare synoptic tables, distribution maps and descriptions of the syntaxa. Twelve associations and two plant communities were identified. Vegetation of the Isoëto-Nanojuncetea class occur in Poland’s central and southern part, with scattered stands in northern region. We described two new plant communities within Eleocharition and Radiolion alliance. The first formal classification of the Isoëto-Nanojuncetea class revealed a high diversity of ephemeral vegetation wetland found in Poland in the eastern boundary of their geographical distribution in Europe.

Wykorzystanie zdjęć fitosocjologicznych w najnowszych badaniach środowiska przyrodniczego = The use of phytosociological relevés in recent studies of the natural environment

The aim of this work was to review the latest literature in terms of the use of phytosociological relevés (vegetation plots) in research on the natural environment. The systematic review included 321 articles published in 2010‑2021 in the most renowned journals (indexed in the Web of Science Core Collection with a score ≥100 according to the 2021 list of journals of the Poland’s Ministry of Education and Science). The research questions were: in which fields of science and practice, for what purposes and on what spatial scales the phytosociological relevés are currently used. After initial review, the articles were divided into 10 thematic groups: 1) classification of plant communities, 2) methodological studies, 3) relationship between vegetation and other elements of the environment, 4) occurrence of invasive plant species, 5) indicative role of vegetation, 6) plant communities as habitats for animals, 7) human footprint on vegetation, 8) long-term vegetation changes, 9) combining phytosociological methods with remote sensing methods, 10) social studies. The results showed that phytosociological relevés, as the method to investigate vegetation developed in the first decades of the 20th century, are still widely used in many regions of the world. The most numerous thematic group comprised articles that show how habitat conditions impact the distribution and diversity of plant species and their communities, while the least numerous – studies combining natural and social research. The vast majority of research was dedicated to environmental problems, although social and economic aspects were also present. These were both theoretical and methodological works, as well as detailed studies, which resulted in the formation of recommendations and practical guidelines for nature protection or spatial planning. Recently, relevés have been rarely used solely to distinguish and characterise plant communities, as originally intended by those who invented this method. However, thanks to modern statistical and computer tools, more and more attempts are being made to create automatic classifications with the use of artificial intelligence, e.g. neural networks. The geographic scope was usually restricted to one country (local and regional – 241 articles) or to two or more bordering countries (47). Continental (19) and global (7) studies are less common and studies within Europe prevail. It is because the discussed method was developed and is best known in Europe (Franco-Swiss Phytosociological School), and its dissemination throughout the world is only an evidence of its universality and efficiency. The recent larger-scale studies became possible mainly due to the development of transnational vegetation databases, e.g. the widely utilised European Vegetation Database – EVA.

Balkan Vegetation Database (BVD) – updated information and current status

The Balkan Vegetation Database (BVD; GIVD ID: EU-00-019) is a regional database, which was established in 2014. It comprises phytosociological relevés covering various vegetation types from nine countries of the Balkan Peninsula (Albania – 153 relevés, Bosnia and Herzegovina – 1715, Bulgaria – 12,282, Greece – 465, Croatia – 69, Kosovo – 493, Montenegro – 440, North Macedonia – 13 and Serbia – 2677). Currently, it contains 18,306 relevés (compared to 9.580 in 2016), and most of them (82.8%) are geo-referenced. The database includes both digitized relevés from the literature (65.6%) and unpublished data (34.5%). Plot size is available for 84.7% of all relevés. During the last four years some “header data information” was improved e.g. elevation (now available for 83.4% of all relevés), aspect (67.7%), slope (66%), total cover of vegetation (54.3%), cover of tree, shrub, herb, bryophyte and lichen layers (27.1%, 20.1%, 40.2%, 11.5% and 2.1%), respectively. Data access is either semi-restricted (65.6%) or restricted (34.4%). Most relevés (84.6%) are classified to syntaxa of different levels. The database has been used for numerous studies with various objectives from floristic, vegetation and habitat-related topics, to macroecological studies at the local, regional, national, continental and global levels. During the last four years, BVD data were requested from 111 different projects via the EVA and sPlot databases.

A Hyperspectral Bidirectional Reflectance Model for Land Surface

A hyperspectral bidirectional reflectance (HSBR) model for land surface has been developed in this work. The HSBR model includes a very diverse land surface bidirectional reflectance distribution function (BRDF) database with ~40,000 spectra. The BRDF database is saved as Ross-Li parameters, which can generate hyperspectral reflectance spectra at different sensor and solar observation geometries. The HSBR model also provides an improved method for generating hyperspectral surface reflectance using multiband satellite measurements. It is shown that the land surface reflective spectrum can be easily simulated using BRDF parameters or reflectance at few preselected wavelengths. The HSBR model is validated using the U.S. Geological Survey (USGS) vegetation database and the AVIRIS reflectance product. The simulated reflective spectra fit the measurements very well with standard deviations normally smaller than 0.01 in the unit of reflectivity. The HSBR model could be used to significantly improve the quality of the reflectance products of satellite and airborne sensors. It also plays important role for intercalibration among space-based instruments and other land surface related applications.