Rapid expansion of settlements and related infrastructures is a global trend that comes with severe environmental, economic, and social costs. Steering urbanization toward well-balanced compactness is thus acknowledged as an important strategic orientation in UN Sustainable Development Goal 11 (SDG-11) via the SDG-indicator “Ratio of land consumption rate to population growth rate.” The EU’s simultaneous commitment to being “a frontrunner in implementing […] the SDGs” and to striving for “no net land take until 2050” calls for relating the concepts of land consumption and land take to each other. Drawing on an EU-centred questionnaire study, a focus group and a literature review, we scrutinize definitions of land consumption and land take, seeking to show how they are interrelated, and questioning the comparability of respective indicators. We argue that conceptual clarifications and a bridging of the two notions are much needed, and that the precision required for definitions and applications is context-dependent. While approximate understandings may suffice for general communication and dissemination objectives, accurate and consistent interpretations of the discussed concepts seem indispensable for monitoring and reporting purposes. We propose ways of addressing existing ambiguities and suggest prioritizing the term land take in the EU context. Thereby, we aim to enhance conceptual clarity around land consumption and land take—a precondition for solidly informing respective policies and decisions.

V prispevku je predstavljena podnebna tipizacije Slovenije za klimatološko obdobje 1991–2020. Izhodišče za členitev je bila Köppen-Geigerjeva klasifikacija, ki pa je pregroba za prikaz vseh podnebnih specifik Slovenije. Z upoštevanjem dodatnih temperaturnih in padavinskih kriterijev smo slovensko podnebje razčlenili na štiri osnovne tipe z devetimi podtipi: zmerno sredozemsko (obalno in zaledno), zmerno celinsko (severovzhodne, vzhodne in jugovzhodne ter osrednje Slovenije), gorsko (višjega in nižjega gorskega sveta) in podgorsko podnebje (zelo vlažno in vlažno).

Around 70% of surface in Extremadura, Spain, faces a critical risk of degradation processes, highlighting the necessity for regional-scale soil property mapping to monitor degradation trends. This study aimed to generate the most reliable soil property maps, employing the most accurate methods for each case. To achieve this, six different machine learning (ML) techniques were tested to map nine soil properties across three depth intervals (0–5, 5–10 and > 10 cm). Additionally, 22 environmental covariates were utilized as inputs for model performance. Results revealed that the Random Forest (RF) model exhibited the highest precision, followed by Cubist, while Support Vector Machine showed effectiveness with limited data availability. Moreover, the study highlighted the influence of sample size on model performance. Concerning environmental covariates, vegetation indices along with selected topographic indices proved optimal for explaining the spatial distribution of soil physical properties, whereas climatic variables emerged as crucial for mapping the spatial distribution of chemical properties and key nutrients at a regional scale. Despite providing an initial insight into the regional soil property distribution using ML, future work is warranted to ensure a robust, up-to-date, and equitable database for accurate monitoring of soil degradation processes arising from various land uses.

The ever-increasing mobility of modern society has a number of negative effects on space, the environment, health and quality of life. It is therefore crucial to raise awareness of the importance of sustainable mobility, part of which is effective and comprehensive education of children. The article presents some key findings of the Sustainable Mobility in Preschools and Primary Schools project, carried out in the period 2019–2021. We investigated whether gamified activities can change students' travel habits and whether the change in travel habits is influenced by their age. The study is based on the survey data from 28,043 primary school students (grades 1–9) across 220 schools (77.7% in rural, 22.3% in urban settlements). Employing paired-samples t-tests and one-way analysis of variance, the study evaluated the impact of gamified activities on travel habits. The results show that children can significantly change their traveling habits with the help of gamification. Although the greatest change in travel habits occurred during the implementation of the activity, the results suggest that more lasting effects can also be achieved. Furthermore, younger participants displayed greater responsiveness to the gamified interventions compared to their older counterparts. This research enhances the corpus of knowledge pertaining to educational strategies for sustainable mobility by providing insights from one of the largest projects to investigate the influence of gamified activities on children's commuting habits.

Koncept geodiverzitete obstaja že več kot 20 let. Večina metod vrednotenja geodiverzitete se uporablja za ugotavljanje geokonzervatorskega ali geoturističnega potenciala. Metode, s katerimi bi lahko vrednotili izobraževalni potencial geodiverzitete, so zelo redke. Glavni cilj našega članka je podati novo metodo vrednotenja geodiverzitete za določanje izobraževalnega potenciala proučevanega območja. Metoda je uporabna za učne namene, ko učitelji načrtujejo organizacijo strokovnih ekskurzij ali terenskega dela.

Forests in Submediterranean Slovenia are threatened by wildfires every year. The article presents the main characteristics of post-fire regeneration in the Karst area. The rate of succession was studied by comparing two burned sites with different periods after the last fire. Field plant sampling was used to determine the plant cover and species composition on each site. Vegetation characteristics were contrasted with nearby unburned sites. We found that the plant species composition of burned areas is similar to that of areas unaffected by wildfire, and that the monitored site has been colonised by specific pioneer plant species five years after the wildfire.