Shrubification (i.e., increasing shrub abundance) and thermophilisation (i.e., increasing dominance of warmth-demanding species) are among the most widely documented imprints of climate change on mountain ecosystems. Still, it remains insufficiently quantified how increasing shrub cover alters the near-ground microclimate and snow duration, and in turn, how this interacts with the climate-change responses of alpine plant communities. To this end, we leveraged 21 years of vegetation resampling data and soil temperature time-series from 576 permanent plots positioned on European mountaintops and covering the treeline ecotone up to the middle alpine belt. Snow duration decreased faster in plots with stronger macroclimate warming, which in turn led to a rise in minimum soil temperatures of 0.28°C per decade across all plots. Overall thermophilisation rates were higher in sheltered habitats with snow accumulation, while habitats with higher shrub cover showed faster loss of cold-adapted species. Further research is needed to disentangle the joint effects of shrubs, snow and microclimates, yielding more accurate projections of climate-induced plant community reshuffling in alpine habitats.
Recent changes in alpine vegetation are often attributed to climate warming, particularly community composition shifts towards more warmth-associated species, or thermophilization. Here we assess the link between thermophilization and warming across 53 European mountain summits. We combine long-term macroclimatic and microclimatic temperature time series with vegetation surveys in 724 permanent plots, monitored over 21 years, to evaluate a possible thermophilization signal and relate it to rates of change in 10 temperature metrics. We find evidence of both thermophilization of alpine plant communities and an increase in temperatures. However, although these two trends are related when averaged across mountain regions, their relationship is weak at the individual plot scale, especially when considering microclimatic temperature metrics. Instead, substrate conditions and particularly the availability of thermophilic colonizers in the surrounding vegetation have a major influence on plot-level thermophilization rates. We conclude that the response of plant communities to climate change strongly depends on the abiotic and biotic context, and intensified monitoring efforts are needed to reduce the resulting uncertainties.
Shrubs are expanding across the cold ecosystems of our planet with potentially profound consequences for their biodiversity and functioning. However, evidence is still strongly biased towards the Arctic tundra, while a large-scale assessment of shrub expansion in alpine areas above the elevational treeline is missing so far. Here we quantified shrub cover changes over the past two decades in 576 permanent plots of 1 m2 spread across the alpine vegetation belt of Europe's major mountain chains. Total shrub cover clearly increased in the plots with an average rate of about 2.6% per m2 per decade (95% CI = 1.9%-3.4%), and this expansion was more pronounced for evergreen (2.0% per m2 per decade, CI = 1.3%-2.7%) than for deciduous species (1.7% per m2 per decade, CI = 0.9%-2.4%). The magnitude of individual species' cover shifts was positively associated with their plant height, but negatively with their leaf nitrogen content and light affinity. In sum, we show that shrub expansion is a widespread phenomenon also in the alpine zone of European mountains, with potentially far-reaching consequences for alpine plant dynamics, soil microclimates, snow patterns, carbon cycling, food chains and livelihoods.
In this study, the landscape and ecological stability of the Dolný Spiš region are investigated, focusing on human-induced changes and land use patterns. The purpose is to assess the impact of industrial, agricultural, and social activities on the landscape structure, using current and historical data. Field mapping and data from the DATAcube (Database of the Slovak Statistical Office) and CORINE Land Cover databases (Landscape cover layer for the whole territory of Europe) were used to evaluate land use, with ecological stability measured through the coefficient of ecological stability (CES). Three methodologies—Míchal, Löw, and Miklós—were applied and adjusted for local conditions. The study area, predominantly covered by forests (over 80%), was classified as highly stable based on CES values, with forested areas contributing significantly to this classification. Additionally, the non-forested areas were analyzed to assess the full scope of anthropic influence, revealing low-intensity human activity, as indicated by the coefficient of anthropic influence (CAI), ranging from 0 to 0.45. The results demonstrate that the landscape’s ability to resist disruptive elements is strong, particularly in forested regions. Overall, in this study, the critical role of forests is highlighted in maintaining the ecological stability in the region and suggests that the landscape structure remains resilient despite ongoing changes in agricultural land use.
Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1‐km 2 resolution for 0–5 and 5–15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1‐km 2 pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse‐grained air temperature estimates from ERA5‐Land (an atmospheric reanalysis by the European Centre for Medium‐Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10°C (mean = 3.0 ± 2.1°C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 ± 2.3°C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (−0.7 ± 2.3°C). The observed substantial and biome‐specific offsets emphasize that the projected impacts of climate and climate change on near‐surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil‐related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.
European mountain grasslands are increasingly affected by land-use changes and climate, which have been suggested to exert important controls on grassland carbon (C) and nitrogen (N) pools. However, so far there has been no synthetic study on whether and how land-use changes and climate interactively affect the partitioning of these pools amongst the different grassland compartments. We analyzed the partitioning of C and N pools of 36 European mountain grasslands differing in land-use and climate with respect to above- and belowground phytomass, litter and topsoil (top 23 cm). We found that a reduction of management intensity and the abandonment of hay meadows and pastures increased above-ground phytomass, root mass and litter as well as their respective C and N pools, concurrently decreasing the fractional contribution of the topsoil to the total organic carbon pool. These changes were strongly driven by the cessation of cutting and grazing, a shift in plant functional groups and a related reduction in litter quality. Across all grasslands studied, variation in the impact of land management on the topsoil N pool and C/N-ratio were mainly explained by soil clay content combined with pH. Across the grasslands, below-ground phytomass as well as phytomass- and litter C concentrations were inversely related to the mean annual temperature; furthermore, C/N- ratios of phytomass and litter increased with decreasing mean annual precipitation. Within the topsoil compartment, C concentrations decreased from colder to warmer sites, and increased with increasing precipitation. Climate generally influenced effects of land use on C and N pools mainly through mean annual temperature and less through mean an- nual precipitation. We conclude that site-specific conditions need to be considered for understanding the effects of land use and of current and future climate changes on grassland C and N pools.
Species turnover is ubiquitous. However, it remains unknown whether certain types of species are consistently gained or lost across different habitats. Here, we analysed the trajectories of 1827 plant species over time intervals of up to 78 years at 141 sites across mountain summits, forests, and lowland grasslands in Europe. We found, albeit with relatively small effect sizes, displacements of smaller- by larger-ranged species across habitats. Communities shifted in parallel towards more nutrient-demanding species, with species from nutrient-rich habitats having larger ranges. Because these species are typically strong competitors, declines of smaller-ranged species could reflect not only abiotic drivers of global change, but also biotic pressure from increased competition. The ubiquitous component of turnover based on species range size we found here may partially reconcile findings of no net loss in local diversity with global species loss, and link community-scale turnover to macroecological processes such as biotic homogenisation.
Landslides are the most common geodynamic phenomenon in Slovakia, and the most affected area is the northwestern part of the Kysuca River Basin, in the Western Carpathian flysch zone. In this paper, we evaluate the susceptibility of this region to landslides using logistic regression and random forest models. We selected 15 landslide conditioning factors as potential predictors of a dependent variable (landslide susceptibility). Classes of factors with too detailed divisions were reclassified into more general classes based on similarities of their characteristics. Association between the conditioning factors was measured by Cramer’s V and Spearman’s rank correlation coefficients. Models were trained on two types of datasets—balanced and stratified, and both their classification performance and probability calibration were evaluated using, among others, area under ROC curve (AUC), accuracy (Acc), and Brier score (BS) using 5-fold cross-validation. The random forest model outperformed the logistic regression model in all considered measures and achieved very good results on validation datasets with average values of AUCval=0.967, Accval=0.928, and BSval=0.079. The logistic regression model results also indicate the importance of assessing the calibration of predicted probabilities in landslide susceptibility modelling.
While climatic research about treeline has a long history, the climatic conditions corresponding to the upper limit of closed alpine grasslands remain poorly understood. Here, we propose a climatic definition for this limit, the ‘grassline’, in analogy to the treeline, which is based on the growing season length and the soil temperature. Eighty-seven mountain summits across ten European mountain ranges, covering three biomes (boreal, temperate, Mediterranean), were inventoried as part of the GLORIA project. Vascular plant cover was estimated visually in 326 plots of 1 × 1 m. Soil temperatures were measured in situ for 2–7 years, from which the length of the growing season and mean temperature were derived. The climatic conditions corresponding to 40% plant cover were defined as the thresholds for alpine grassland. Closed vegetation was present in locations with a mean growing season soil temperature warmer than 4.9 °C, or a minimal growing season length of 85 days, with the growing season defined as encompassing days with daily mean ≥ 1 °C. Hence, the upper limit of closed grasslands was associated with a mean soil temperature close to that previously observed at the treeline, and in accordance with physiological thresholds to growth in vascular plants. In contrast to trees, whose canopy temperature is coupled with air temperature, small-stature alpine plants benefit from the soil warmed by solar radiation and consequently, they can grow at higher elevations. Since substrate stability is necessary for grasslands to occur at their climatic limit, the grassline rarely appears as a distinct linear feature.
Abstract Ecosystem services are the benefits provided to human society by natural ecosystems, which are generally understood as the ecosystem processes that sustain human life. In particular, an ecosystem’s cultural services include intangible benefits derived from aesthetic and other experiences, recreation, cognition and spiritual enrichment, and the ability to discern values. The study focuses on the comparison of two methodological approaches to the evaluation of landscape and the benefits of ecosystems for the development of ecological forms of tourism, using Bratislava IV as an example. The basis for database information is the processing of secondary landscape structure. The first methodological approach is based on a detailed mapping of land cover classes (Land Cover) in accordance with the legend of the Technical Guide CORINE Land Cover – supplement at the fourth and fifth levels of mapping in 2014‒2018 and determining the degree of landscape-ecological significance. The second approach is based on creating a set of relevant indicators and their evaluation using the scaling and weighting method. We reached the conclusion that the first methodological approach is more suitable for smaller territories at the cadastral level, while the second is better suited for regional-level territories.
Questions: Long-term programs monitoring the impact of climate change on alpine vegetation necessarily involve changing observers. We aim at quantifying observer errors and ask if the signal of alpine vegetation transformation due to climate change exceeds pseudo-changes caused by observer errors. Location: Two mountain regions in the Alps, Schrankogel and Hochschwab (both Austria), and one in the High Tatra Mountains (Slovakia). Methods: Vascular plant species presence and cover were recorded on 10-12 1-m(2) plots by 13-14 observers per site. Observer errors were calculated as species turnover, and deviations of species cover and the plot thermic vegetation indicator (which is correlated with temperature) from the mean over all observers. Observer errors in estimating species cover were split into a random and systematic part. The influence of plot and species characteristics on observer errors was investigated using (generalized) linear mixed-effect models. Changes over time from three surveys in species turnover, cover and the thermic vegetation indicator were related to the amount of observer error using a bootstrap approach. Results: Species cover was the most influential factor affecting observer errors in recording species lists and in species cover estimation. Plot attributes and observer identity had a weak but significant influence on errors in the thermic vegetation indicator. Systematic errors in estimating species cover were <= 5%. Changes over time in estimating species cover, as well as in species turnover and the thermic vegetation indicator exceeded observer errors in all cases where the observation period was >= 10 years. Conclusions: The thermic vegetation indicator, which combines species composition and cover with species' elevational distributions, provides a reliable estimate of warming-related vegetation changes. Our results underline the importance of long-term monitoring and long observation periods, which enable us to account for short-term fluctuations and observer errors alike.
Current analyses and predictions of spatially explicit patterns and processes in ecology most often rely on climate data interpolated from standardized weather stations. This interpolated climate data represents long-term average thermal conditions at coarse spatial resolutions only. Hence, many climate-forcing factors that operate at fine spatiotemporal resolutions are overlooked. This is particularly important in relation to effects of observation height (e.g. vegetation, snow and soil characteristics) and in habitats varying in their exposure to radiation, moisture and wind (e.g. topography, radiative forcing or cold-air pooling). Since organisms living close to the ground relate more strongly to these microclimatic conditions than to free-air temperatures, microclimatic ground and near-surface data are needed to provide realistic forecasts of the fate of such organisms under anthropogenic climate change, as well as of the functioning of the ecosystems they live in. To fill this critical gap, we highlight a call for temperature time series submissions to SoilTemp, a geospatial database initiative compiling soil and near-surface temperature data from all over the world. Currently, this database contains time series from 7,538 temperature sensors from 51 countries across all key biomes. The database will pave the way toward an improved global understanding of microclimate and bridge the gap between the available climate data and the climate at fine spatiotemporal resolutions relevant to most organisms and ecosystem processes.
Tourism is an industry with a strong long-term potential of becoming one of the key industries in securing the country’s economic growth. Tourists are nowadays interested in not only getting to know the cultural-historical peculiarities, but also the way of life and cultural traditions of the inhabitants of the individual regions. Kysuce region is characterised by scattered settlement, which used to be a significant type of settlement in remote and inaccessible parts of the area in the past. Nowadays, however, the majority of the objects of the scattered settlement either serve as holiday chalets or are uninhabited.The aim of this paper is to evaluate the recreational potential of tourism in Kysuce region. Based on the established methodology, the individual villages were divided into five categories: areas with less suitable potential of tourism development (PTD), areas with suitable PTD, areas with quality PTD, areas with PTD of high quality and areas with the most significant PTD. These categories have been established based on the point evaluation of the potential of input indicators – natural potential, cultural-historical potential, recreational infrastructure and environmental infrastructure. The most significant PTD in the monitored area is the village of Oščadnica (279 points), and the villages of Horný Vadičov (231 points), Raková (224 points) and Nová Bystrica (219.5 points) were evaluated as the areas with PTD of high quality. Agro-tourism in this region is, however, the least developed, despite the location of the region being very favourable for such an activity. Its development could lower unemployment and offer a source of income of the inhabitants, or reduce movement of the inhabitants into other regions of Slovakia. Subsequently, the character of the landscape with all its key functions for sustaining the quality of the environment could be preserved.
The growing development of settlements in mountainous areas and their sustainable development constantly requires new approaches to assess the land in terms of occurrence of landslides. The flysch zone, where the monitored area is located, is one of the most landslide prone areas in Slovakia. Landslides respond sensitively to the quality of the individual factors that form the landscape and to the change of natural conditions. Their occurrence is a geo-barrier that reduces or totally prevents the use of natural environment and negatively affects the life of population and territorial development. The reason for the increased hazard of landslides is not only demographic pressure on territories, but also its poor management. Consistent spatial planning addresses not only the spatial layout but also the functional use of the territory. Landslides represent one of the limits of land use. This study is based on the assessment of landsliding as a limit to possible territorial development. The input parameters for the assessment were elements of the current landscape structure (built up structure, forest stands, transitional woodland-shrubs, traditional agricultural land, permanent grasslands and arable land) and occurring landslides (active, potential and stabilized). On most of the determined elements of the landscape, landslides occur on about a quarter of their area. They have a smaller share only in areas of mixed forests, built up areas and have the smallest share on arable land. Potential landslides have the largest proportion on all landscape elements. They occupy the largest areas on coniferous forests (1578.93 ha) and on permanent grasslands (741.33 ha). By evaluating the overall endangerment of the area by landslides according to the degree of threat, we found that the greatest threat of landslides is in the Skalité and Svrčinovec cadastral areas, the smallest threat is in the Čadca cadastral area. In addition to the danger of landsliding in the individual elements of the landscape, we have also set limits for its development. Spatial planning limits have been divided into two categories according to the sectors they affect the most: limiting the development of an area assigned for residential building, or restricting the development of an area designed for agricultural and forestry purposes.
Observed climate change, especially warming, is having significant impacts on the distribution of European flora and these impacts include uphill range shifts, as well as predict potential local and regional extinctions of species. This process can be also called as a vertical migration of species. The related research in subalpine and alpine belt of the European mountains brought several interesting results during the last 15 years, above all by the GLORIA initiative network and a project sUMMITDiv with repeated plant survey from 302 mountain summits across Europe and spanning 145 years of observation. A continent-wide acceleration in the rate of increase in plant species richness, with five times as much species enrichment between 2007 and 2016 as fifty years ago, between 1957 and 1966 has been confirmed (Steinbauer et al., 2018).
Cultural ecosystem services in particular represent immaterial benefits derived from aesthetic and other experiences, recreation, cognition and spiritual enrichment, as the ability to distinguish values. The character of tourism and landscape interactions could be solved through the development and the application of new quantification methods for natural and cultural—historical benefits of ecosystems, which is the aim of our study, using Bratislava IV as a case study. In our approach, landscape-ecological evaluation of landscape structure and appropriate tourism forms and activities taking into account the landscape diversity, genofond significance, generic rarity and biotope vulnerability is considered as the essence of tourism ecological model creation. The basis for spatial representation of ecosystems was the processing of secondary landscape structure map based on landscape cover classes. As the attractive and important landscape segments were identified elements representing the first (e.g., alluvial forests, oak-hombean forests, wetlands), second (e.g., bank growth) and third (e.g., vineyards, recreational areas) category of landscape-ecological significance. We have created an algorithm that takes into account the significance of the nature of the natural and cultural-historical sites in the landscape and showing and presenting 14 categories of ecological forms of tourism.
Abstract Vegetation of the ski slopes in the Low Tatras National Park in Slovakia was evaluated through the environmental variables and species composition caused by human impact assessment. We compared the grasslands located on pistes, off pistes and on the edge of pistes, and within these we also recorded the grassland management. The results show that the majority of study areas managed by transport of sod clippings has reached the lowest number of species; contrariwise, the grasslands with no management are characterized by the highest number of species. Areas on pistes managed by cutting correlates positively with the bare ground. Cover of mosses positively correlates with the total cover and areas with no management. Total of 17 synanthropic plant species and 2 nonnative species as the indicator of human interventions were noticed. They occurred particularly on the edge areas but also in the surroundings of the off piste areas.
Territory of Kysuce is characterised by a high proportion of the traditional agricultural landscape (TAL), which occupy almost 12% of the area. Two types of TAL were allocated here. The first type is represented by TAL with dispersed settlement. The second type is represented by TAL of arable land and grassland landscape. The largest representation has typical forms of anthropogenic relief (FAR). TALs represent the most diverse mosaic of man-made habitats and natural habitats too. In the past, there were the largest representations of arable land and regularly mown meadows. Currently, these areas are dominated by abandoned meadows (fallow meadows), occasionally grazed pastures and meadows. Arable land is represented only minimally. The large part of areas is overgrown by non-forest woody vegetation or passes to the forest vegetation. In this process of landscape changes, significant changes in biodiversity of the areas are realised. Successively, the species of segetal and ruderal vegetation are less represented and species of forest vegetation obtained greater representation. In the process of mapping and evaluation, FAR - shape and orientation of plots, types of balks and some of their basic characteristics - were monitored.