On the Question of New Forms of Urbanization in the Context of Spatial Development Management in the Republic of Karelia. Article One

In modern conditions, classical approaches to urbanization need to be supplemented. The concept of rural agglomerations based on the development of inter-territorial cooperation of local governments arose. The question about new criteria for the formation of agglomerations was raised. The concept of actual urban settlements is proposed, which involves taking into account the modern characteristics of environmental processes.

55th ANNIVERSARY OF M.V. GLAGOLEV

The most sound papers by Mikhail V. Glagolev were reviewed, and the scope of his research activities was provided in the context of his 55th anniversary. The abstracts of some significant publications are provided and deeply discussed. All the publications mentioned were divided into six groups: 1) gas dynamics of ecosystems; 2) wetland mapping; 3) microbiology; 4) modeling of environmental processes, and other mathematical methods; 5) other topics and discussion articles; 6) teaching activities and reviews. Also, scientometrics indicators of M.V. Glagolevs scientific activity were discussed.

Environmental Justice and its geographical aspects in Hungary

In recent decades, environmental justice has become a defining concept in socio-spatial inequality research, political debates, and activism. Environmental justice research, which is essentially based on theories of social and spatial justice and providesa normative framework for thinking, focuses on the unequal distribution of environmental harms and risks and their social consequences. Environmental justice research aims to explore the economic, social, health, and legal differences that individuals and groups face in their environment as a result of environmental processes, decision making, power relations, and law enforcement practices. This is largely related to the subjective perception of individuals and the perception of injustices by different actors. In the vast majority of environmental justice studies, spatiality provides a framework for interpreting and understanding environmentally unjust situations and processes. Environmental justice is therefore not only a natural, but also a socially dependent phenomenon, in which the key element is nevertheless the non-human factor (e.g. environmental events such as floods), which affects individuals and groups indifferent ways. As a result, an environmentally unjust state and situation may occur. The evolved injustices also interact with inherited spatial inequalities, existing socioeconomic systems, and the institutional structures that originally shape them. This paper summarizes the theoretical framework of environmental justice in geography and spatial sciences. The study adapts the theory of justice to post-socialist and Hungarian specificities and forms of environmental injustice, and examines decision-making processes and the perception of risks. In Hungary social problems and differences have been increasing in recent decades, and marginalisation and polarisation processes have added new spatial patterns to existing inequalities, directly and indirectly affecting environmental processes as well. Attempts at eliminating environmental injustices have resulted in new injustices, or deepened existing ones, due to the lack of a complex socio-environmental spatial approach of interventions. The solution to these injustices presupposes the effective and meaningful involvement of the affected people in policy-making and implementation processes, regardless of gender, age, origin, identity, or income. Otherwise, the unjust situation will persist and crisis areas affected by environmental injustices may develop.

Interaction among Hydrological, Environmental, and Ecological Processes in Aquatic Ecosystems

In the context of climate change and human disturbance, the hydrological and environmental processes in aquatic ecosystems have undergone significant changes, which could affect the material cycle and energy conversion processes required by aquatic organisms to maintain life [...]

Exploring the coupled ocean and atmosphere system with a data science approach applied to observations from the Antarctic Circumnavigation Expedition

The Southern Ocean is a critical component of Earth's climate system, but its remoteness makes it challenging to develop a holistic understanding of its processes from the small scale to the large scale. As a result, our knowledge of this vast region remains largely incomplete. The Antarctic Circumnavigation Expedition (ACE, austral summer 2016/2017) surveyed a large number of variables describing the state of the ocean and the atmosphere, the freshwater cycle, atmospheric chemistry, and ocean biogeochemistry and microbiology. This circumpolar cruise included visits to 12 remote islands, the marginal ice zone, and the Antarctic coast. Here, we use 111 of the observed variables to study the latitudinal gradients, seasonality, shorter-term variations, geographic setting of environmental processes, and interactions between them over the duration of 90 d. To reduce the dimensionality and complexity of the dataset and make the relations between variables interpretable we applied an unsupervised machine learning method, the sparse principal component analysis (sPCA), which describes environmental processes through 14 latent variables. To derive a robust statistical perspective on these processes and to estimate the uncertainty in the sPCA decomposition, we have developed a bootstrap approach. Our results provide a proof of concept that sPCA with uncertainty analysis is able to identify temporal patterns from diurnal to seasonal cycles, as well as geographical gradients and “hotspots” of interaction between environmental compartments. While confirming many well known processes, our analysis provides novel insights into the Southern Ocean water cycle (freshwater fluxes), trace gases (interplay between seasonality, sources, and sinks), and microbial communities (nutrient limitation and island mass effects at the largest scale ever reported). More specifically, we identify the important role of the oceanic circulations, frontal zones, and islands in shaping the nutrient availability that controls biological community composition and productivity; the fact that sea ice controls sea water salinity, dampens the wave field, and is associated with increased phytoplankton growth and net community productivity possibly due to iron fertilisation and reduced light limitation; and the clear regional patterns of aerosol characteristics that have emerged, stressing the role of the sea state, atmospheric chemical processing, and source processes near hotspots for the availability of cloud condensation nuclei and hence cloud formation. A set of key variables and their combinations, such as the difference between the air and sea surface temperature, atmospheric pressure, sea surface height, geostrophic currents, upper-ocean layer light intensity, surface wind speed and relative humidity played an important role in our analysis, highlighting the necessity for Earth system models to represent them adequately. In conclusion, our study highlights the use of sPCA to identify key ocean–atmosphere interactions across physical, chemical, and biological processes and their associated spatio-temporal scales. It thereby fills an important gap between simple correlation analyses and complex Earth system models. The sPCA processing code is available as open-access from the following link: https://renkulab.io/gitlab/ACE-ASAID/spca-decomposition (last access: 29 March 2021). As we show here, it can be used for an exploration of environmental data that is less prone to cognitive biases (and confirmation biases in particular) compared to traditional regression analysis that might be affected by the underlying research question.

Ooids forming in situ within microbial mats (Kiritimati atoll, central Pacific)

Ooids (subspherical particles with a laminated cortex growing around a nucleus) are ubiquitous in the geological record since the Archean and have been widely studied for more than two centuries. However, various questions about them remain open, particularly about the role of microbial communities and organic matter in their formation and development. Although ooids typically occur rolling around in agitated waters, here, we describe for the first time aragonite ooids forming statically within microbial mats from hypersaline ponds of Kiritimati (Kiribati, central Pacific). Subspherical particles had been previously observed in these mats and classified as spherulites, but these particles grow around autochthonous micritic nuclei, and many of them have laminated cortices, with alternating radial fibrous laminae and micritic laminae. Thus, they are compatible with the definition of the term ‘ooid’ and are in fact very similar to many modern and fossil examples. Kiritimati ooids are more abundant and developed in some ponds and in some particular layers of the microbial mats, which leads to the discussion and interpretation of their formation processes as product of mat evolution, through a combination of organic and environmental factors. Radial fibrous laminae are formed during periods of increased supersaturation, either by metabolic or environmental processes. Micritic laminae are formed in closer association with the mat exopolymer (EPS) matrix, probably during periods of lower supersaturation and/or stronger EPS degradation. Therefore, this study represents a step forward in the understanding of ooid development as influenced by microbial communities, providing a useful analogue for explaining similar fossil ooids.

Long-read metagenomics of soil communities reveals phylum-specific secondary metabolite dynamics

Microbial biosynthetic gene clusters (BGCs) encoding secondary metabolites are thought to impact a plethora of biologically mediated environmental processes, yet their discovery and functional characterization in natural microbiomes remains challenging. Here we describe deep long-read sequencing and assembly of metagenomes from biological soil crusts, a group of soil communities that are rich in BGCs. Taking advantage of the unusually long assemblies produced by this approach, we recovered nearly 3,000 BGCs for analysis, including 712 full-length BGCs. Functional exploration through metatranscriptome analysis of a 3-day wetting experiment uncovered phylum-specific BGC expression upon activation from dormancy, elucidating distinct roles and complex phylogenetic and temporal dynamics in wetting processes. For example, a pronounced increase in BGC transcription occurs at night primarily in cyanobacteria, implicating BGCs in nutrient scavenging roles and niche competition. Taken together, our results demonstrate that long-read metagenomic sequencing combined with metatranscriptomic analysis provides a direct view into the functional dynamics of BGCs in environmental processes and suggests a central role of secondary metabolites in maintaining phylogenetically conserved niches within biocrusts.