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Item type:Publication, Access status: with files , A global analysis of the influence of shallow and deep groundwater tables on relationships between environmental parameters and heatwaves(Elsevier, 2026-01-15); ; ; ; Heatwaves increasingly impact ecosystems, human health, and economic activities worldwide. As their frequency and intensity rise, understanding the mechanisms driving heatwave dynamics and interactions with land surface processes becomes crucial. While numerous studies have examined atmospheric and land surface variables, the role of groundwater, through its effects on soil moisture and surface evaporative fluxes, remains less understood. Although modeling approaches at various scales have enhanced our understanding of groundwater-atmosphere coupling, machine learning (ML) enables capturing complex, nonlinear interactions and evaluating the relative importance of key drivers globally. We developed pixel-based ML models to estimate global summer heatwave frequency over the past 21 years. For each pixel, we considered data within a 1.5° radius (149 neighboring pixels), identified as the optimal scale through a saturation radius analysis. We used feature importance metrics to identify the dominant drivers among surface fluxes, land characteristics, atmospheric and hydrological variables, and interpreted these results in relation to contrasting groundwater depths (<10 m and >100 m). We ensured robustness using 10-fold cross-validation and confirmed that results were not driven by randomness with two additional validation runs on a subset of the data, with shuffled targets and randomized covariates. Our findings suggest that geopotential height showed the highest relative importance among predictors in regions with deep groundwater tables, while in areas with shallow groundwater, surface fluxes emerge as the key contributor. Incorporating groundwater-related processes may therefore improve understanding of land-atmosphere interactions and support more robust assessments of future heatwave risks.Publicationtype: Journal Article28 37 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , Spatial and temporal assessment of soil degradation risk in Europe(Nature Publishing Group, 2025-12-24); ; ; ; Soil degradation threatens agricultural productivity and ecosystem resilience across Europe, yet spatially consistent assessments of its intensity and drivers remain limited. In this study, we used Soil Degradation Proxy (SDP), that integrates four key indicators of soil degradation, including erosion rate, soil pH, electrical conductivity, and organic carbon content, to quantify soil degradation risk. Using over 38,000 LUCAS topsoil observations and a machine learning model trained on climate, land cover, topographic, soil parent material properties, and spectral variables, we map annual SDP values between years 2000 to 2022 across Europe. Results show soil degradation risk is highest in southern Europe, especially in intensively managed and sparsely vegetated landscapes. Over the past two decades, approximately 7.1% of land area across the EU and the UK has experienced increasing degradation risk (most notably across Eastern Europe), with rainfed croplands emerging as the most affected land cover type. Land cover is the most influential driver, modulating effects of climatic variables such as precipitation and temperature on SDP. This data-driven framework provides a consistent and scalable approach for monitoring soil degradation risk and offers actionable insights to support targeted conservation and EU-wide policy implementation.Publicationtype: Journal Article21 20 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , Rethinking global soil degradation: drivers, impacts, and solutions(American Geophysical Union (AGU), 2025-12); ; ; ; The increasing threat of soil degradation presents significant challenges to soil health, especially within agroecosystems that are vital for food security, climate regulation, and economic stability. This growing concern arises from intricate interactions between land use practices and climatic conditions, which, if not addressed, could jeopardize sustainable development and environmental resilience. This review offers a comprehensive examination of soil degradation, including its definitions, global prevalence, underlying mechanisms, and methods of measurement. It underscores the connections between soil degradation and land use, with a focus on socio‐economic consequences. Current assessment methods frequently depend on insufficient data, concentrate on singular factors, and utilize arbitrary thresholds, potentially resulting in misclassification and misguided decisions. We analyze these shortcomings and investigate emerging methodologies that provide scalable and objective evaluations, offering a more accurate representation of soil vulnerability. Additionally, the review assesses both physical and biological indicators, as well as the potential of technologies such as remote sensing, artificial intelligence, and big data analytics for enhanced monitoring and forecasting. Key factors driving soil degradation, including unsustainable agricultural practices, deforestation, industrial activities, and extreme climate events, are thoroughly examined. The review emphasizes the importance of healthy soils in achieving the United Nations Sustainable Development Goals, particularly concerning food and water security, ecosystem health, poverty alleviation, and climate action. It suggests future research directions that prioritize standardized metrics, interdisciplinary collaboration, and predictive modeling to facilitate more integrated and effective management of soil degradation in the context of global environmental changes.Publicationtype: Review Article23 34 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , How does groundwater table influence heatwave occurrences globally?Heatwaves pose a significant threat to ecosystems, human health and a wide range of socio-economic activities. Understanding the mechanisms that drive heatwave dynamics and their interactions with land surface processes is essential as the frequency and intensity of heatwaves are projected to increase in the future. While a number of studies have focused on the role of atmospheric and land surface variables on heatwaves, less is known about how groundwater depth might influence heatwave dynamics through its effects on soil moisture and surface evaporative fluxes. To address this, we examined past heatwave occurrences over a 21-year period, focusing on areas with shallow and deep groundwater levels in different climate and land cover regions. Furthermore, we examined the relationship between heatwave events and key variables across different water table levels on a global scale. For this purpose, we developed more than 200,000 localized artificial intelligence (AI) models to represent summer heatwave frequency across the globe. For each location (pixel), we considered data within a 1.5 degree radius (approximately 149 neighboring pixels) to identify key variables that contribute to heatwave occurrence. We used the model's built-in feature-importance metrics and tailored AI techniques to determine which variables, among surface fluxes and atmospheric, hydrological and local environmental variables, primarily govern heatwave occurrence in areas with different groundwater levels. Our results indicate that geopotential height, representing atmospheric drivers, dominates heatwave estimates in regions with deep groundwater levels (>100 m). In contrast, in areas with shallow groundwater (<10 m), surface fluxes emerge as an important contributor to heatwave occurrence. These findings shed light on the less discussed impact of groundwater depth on key environmental variables associated with heatwave events, and support sustainable climate adaptation and resource management.Publicationtype: Conference Presentation52 44 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , How shallow and deep groundwater impact environmental parameters correlated with global heatwavesHeatwaves present serious challenges to ecosystems, human health, and a wide range of socioeconomic activities. As the frequency and intensity of heatwaves increase, understanding the mechanisms driving their dynamics and interactions with land surface processes become more important. While extensive research has investigated the influence of various land and atmospheric parameters on heatwaves, less is known about how groundwater depth influences heatwave dynamics through their effects on soil moisture and surface evaporative fluxes (Vogelbacher et al., 2024, Sadeghi et al., 2012). To address this knowledge gap, we investigated how the groundwater depth affects the key parameters controlling heatwave dynamics on a global scale. Specifically, we developed more than 200,000 localized Artificial Intelligence (AI) models to represent the spatial distribution of heatwave frequency over the past 21 years across the world. For each model, a radius of 1.5 degrees (approximately 149 neighboring pixels) is considered in the computation to identify key parameters contributing to heatwaves in that region. We analyzed surface fluxes, as well as atmospheric, hydrological, and local environmental variables, to understand their correlation to heatwaves. Our findings suggest that geopotential height representing atmospheric drivers, is the key predictor of heatwave events in regions with deep groundwater tables (>100 m). In contrast, in areas with shallow groundwater (<10 m), surface fluxes emerge as important contributor to the onset of heatwaves. These findings highlight the less-discussed impact of groundwater depth on atmospheric processes and the important role of soil in linking groundwater and the atmosphere. Our results have important implications for water and land management, emphasizing the need for integrated approaches to understand and address the increasing risks posed by heatwaves.Publicationtype: Conference Paper20 10 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , How does groundwater level influence the occurrence and frequency of heatwaves?Climate extremes (e.g., 2023 European heatwave) have severe consequences on built and natural environments, posing a threat to human wellbeing and economic resilience. A changing climate is expected to increase the frequency and intensity of climate hazards but also their impacts might intensify due to increasing exposure and vulnerability. Land atmosphere interactions have been identified as key drivers for heatwaves, relying significantly on groundwater interactions through its effect on soil moisture, evaporation and thus surface heat fluxes (1, 2). Variation of rainfall patterns and the increase in water demands are expected to influence groundwater dynamics, soil moisture-air temperature feedback processes and subsequently the occurrence of preconditioned compound events, where climate-driven preconditions (rainfall-variability and increase of air temperature), worsen the effects of a hazard (heatwave). The current understanding of groundwater as driver for heatwaves are often limited to regional studies or specific land covers, with few endeavors seeking to characterize global- scale trends and responses. We aim to globally investigate the relation between groundwater levels and heatwave events considering different land cover types and environmental variables by conducting a wide-ranging statistical analysis. We combine a variety of datasets, making use of an existing high resolution groundwater model, climate reanalysis data and remote sensing data. This allows us to distinguish potential drivers of heatwave occurrence which contribute to the development of effective action plans to mitigate climate change's adverse effects.Publicationtype: Conference Poster34 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Groundwater influence on the frequency of heatwaves: A global perspectiveGroundwater plays a crucial role in land-atmosphere interactions through its effect on soil moisture, evaporation and thus surface heat fluxes (1). Variation of rainfall patterns in a changing climate and the increase in water demands are expected to influence groundwater dynamics that affect soil moisture-air temperature feedback processes and subsequently the occurrence of heatwaves. The decline in groundwater levels with intensified abstraction could hinder its buffer capacities to impede soil desiccation and onset of heatwaves. The current understanding of the relationship between shallow groundwater tables and heatwave events is often limited to regional studies or specific land covers, with a very few endeavors seeking to characterize global-scale trends and responses. We thus aim to globally investigate the relation between groundwater levels and heatwave events considering different land cover types and environmental variables by conducting a wide-ranging statistical analysis. Our approach involved leveraging a comprehensive dataset, allowing us to distinguish potential links between groundwater tables and the frequency of heatwaves over a range of geographical and climatological parameters. The findings from our investigation provide valuable insights into the relationship between groundwater dynamics and heatwave frequency within the broader context of the interactions between soil moisture and air temperature. This information will aid in devising effective action plan to mitigate the adverse effects of climate change.Publicationtype: Conference Paper17