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Danish and European farming increasingly depends on external investments due to a surge in farmland prices, capital intensive production facilities and structural development. In response, the land market has been deregulated giving external investors access to ownership of Danish farmland. Based on farming systems theory, this article explores the impacts of this policy reform. We identify four emerging investment rationales: 1) family business, 2) investment object, 3) social and ecological finance and 4) value-chain cooperation. We argue that the emergence of these new investment rationales reflects a fundamental change in financial conditions; today investors are more involved in asset management and use a range of new devises, such as benchmarking tools, farm advisory boards and contracts, to observe the performance of farming systems and to allocate funding. However, changing conditions are also the result of an evolving agri-food sector, which has deliberately pursued a growth strategy characterised by capital intensive mergers and expansion, financed by external investments. For agri-food studies this implies that the boundaries of farming systems are broadened and the individual farmer cannot be the sole entrance to the analysis, but this financialization constitute a new reality that increasingly need to be considered.

The management and disposal of wastewater treatment sludge can be a costly and resource-intensive process. To provide a cost-effective and sustainable alternative, Sludge Treatment Wetlands (STW) have emerged as a viable solution for enhancing sludge quality through dewatering and biodegradation. In this study, the effectiveness of a full-scale STW for stabilizing and dewatering digested microalgal biomass from a domestic and agricultural wastewater treatment system was evaluated. The properties of the treated digestate in the STW were assessed after 35 weeks of operation and a resting period of 4 weeks. The dry matter content was found to be 12.8%, and the average macronutrient content was K: 3.8 mg/g DW, P: 4.9 mg/g DW, and Ca: 95 mg/g DW. The highest contents of micronutrients were for Fe: 7.8 mg/g DW and Mg: 7.6 mg/g DW, while heavy metals and pathogen contents were below the EC limits for sewage sludge reuse in agriculture. The STW was found to be a cost-effective and environmentally friendly option for treating mixed wastewater-based sludge for land application. The STW outperformed reference systems using centrifuge dewatering techniques, particularly in terms of eutrophication potential and acidification potential. However, the STW’s economic performance was slightly worse than that of the dewatering system in terms of unit production cost. This study is the first in the literature to investigate the use of STW for treating digested microalgae and its possible reuse in arable land, suggesting that STW infrastructures have great potential for the development of sustainable and eco-friendly sludge treatment technologies. By Eva Gonzalez-Flo 1 , Antonio Ortiz 2, Carlos A. Arias 3, Rubén Díez-Montero 2,4, Norbert Kohlheb 5, Ulf-Henning Schauser 6, Joan García 2 and Peder K. S. Gregersen 7. 1 GEMMA-Group of Environmental Engineering and Microbiology, Department of Civil and Environmental Engineering, Escola d’Enginyeria de Barcelona Est (EEBE), Universitat Politècnica de Catalunya-BarcelonaTech, Av. Eduard Maristany 16, Building C5.1, E-08019 Barcelona, Spain 2 GEMMA-Group of Environmental Engineering and Microbiology, Department of Civil and Environmental Engineering, Universitat Politècnica de Catalunya-BarcelonaTech, c/Jordi Girona 1-3, Building D1, E-08034 Barcelona, Spain 3 Department of Biology, Aarhus University, 8000 Aarhus, Denmark 4 GIA-Group of Environmental Engineering, Department of Water and Environmental Sciences and Technologies, Universidad de Cantabria, Avda. Los Castros s/n, 39005 Santander, Spain 5 Helmholtz-Zentrum Fuer Umveltforschung GMBH–UFZ (“UFZ”), 04318 Leipzig, Germany 6 N.A.T., Ingenieurökologisches Planungsbüro, 24340 Eckernförde, Germany 7 Center for Recirkulering v/Peder S, 6870 Gregersen Ölgod, Denmark This research was funded by the European Commission (H2020 project INCOVER, GA 689242). E. Gonzalez-Flo would like to thank the European Union-Next Generation EU, Ministry of Universities and Recovery, Transformation and Resilience Plan for her research grant [2021UPF-MS12]. A. Ortiz would like to thank the European Union Next-Generation EU, Ministry of Universities and Recovery, Transformation and Resilience Plan for his research grant [2022UPC-MSC-94120]. Peer Reviewed

Body size is a master trait in aquatic ecosystems to complement traditional taxonomic diversity measures. Based on a dataset of fish communities from 40 Turkish lakes covering a wide environmental gradient and continental to dry cold steppe to Mediterranean climates, we elucidated the key variables controlling size diversity, geometric mean length and number of size classes in the fish community. We further examined how these three size measures were related to species diversity and species richness. A GLM analysis revealed that both size diversity and the number of sizes were strongly related to taxonomic diversity and richness. Furthermore, fish size diversity decreased with decreasing annual precipitation, while the number of size classes increased with increasing lake area but decreased with increasing salinity. The geometric mean length of fish decreased with total nitrogen and increased with altitude. The inter-relatedness between the number of size classes and lake area suggests an increase in fish niches with increasing ecosystem size, while fish are smaller and have fewer size classes in lakes with higher salinity. We conclude that size measures provide valuable integrating information on lake fish diversity; thus, they may complement, but not replace, more traditional taxonomic fish measures.

Anthropogenic and natural emissions contribute to enhanced concentrations of aerosols in the Arctic winter and early spring, with most attention being paid to anthropogenic aerosols that contribute to so-called Arctic haze. Less-well-studied wintertime sea-spray aerosols (SSAs) under Arctic haze conditions are the focus of this study, since they can make an important contribution to wintertime Arctic aerosol abundances. Analysis of field campaign data shows evidence for enhanced local sources of SSAs, including marine organics at Utqiaġvik (formerly known as Barrow) in northern Alaska, United States, during winter 2014. Models tend to underestimate sub-micron SSAs and overestimate super-micron SSAs in the Arctic during winter, including the base version of the Weather Research Forecast coupled with Chemistry (WRF-Chem) model used here, which includes a widely used SSA source function based on Gong et al. (1997). Quasi-hemispheric simulations for winter 2014 including updated wind speed and sea-surface temperature (SST) SSA emission dependencies and sources of marine sea-salt organics and sea-salt sulfate lead to significantly improved model performance compared to observations at remote Arctic sites, notably for coarse-mode sodium and chloride, which are reduced. The improved model also simulates more realistic contributions of SSAs to inorganic aerosols at different sites, ranging from 20 %–93 % in the observations. Two-thirds of the improved model performance is from the inclusion of the dependence on SSTs. The simulation of nitrate aerosols is also improved due to less heterogeneous uptake of nitric acid on SSAs in the coarse mode and related increases in fine-mode nitrate. This highlights the importance of interactions between natural SSAs and inorganic anthropogenic aerosols that contribute to Arctic haze. Simulation of organic aerosols and the fraction of sea-salt sulfate are also improved compared to observations. However, the model underestimates episodes with elevated observed concentrations of SSA components and sub-micron non-sea-salt sulfate at some Arctic sites, notably at Utqiaġvik. Possible reasons are explored in higher-resolution runs over northern Alaska for periods corresponding to the Utqiaġvik field campaign in January and February 2014. The addition of a local source of sea-salt marine organics, based on the campaign data, increases modelled organic aerosols over northern Alaska. However, comparison with previous available data suggests that local natural sources from open leads, as well as local anthropogenic sources, are underestimated in the model. Missing local anthropogenic sources may also explain the low modelled (sub-micron) non-sea-salt sulfate at Utqiaġvik. The introduction of a higher wind speed dependence for sub-micron SSA emissions, also based on Arctic data, reduces biases in modelled sub-micron SSAs, while sea-ice fractions, including open leads, are shown to be an important factor controlling modelled super-micron, rather than sub-micron, SSAs over the north coast of Alaska. The regional results presented here show that modelled SSAs are more sensitive to wind speed dependence but that realistic modelling of sea-ice distributions is needed for the simulation of local SSAs, including marine organics. This study supports findings from the Utqiaġvik field campaign that open leads are the primary source of fresh and aged SSAs, including marine organic aerosols, during wintertime at Utqiaġvik; these findings do not suggest an influence from blowing snow and frost flowers. To improve model simulations of Arctic wintertime aerosols, new field data on processes that influence wintertime SSA production, in particular for fine-mode aerosols, are needed as is improved understanding about possible local anthropogenic sources.

The distribution of the high concentrations of arsenic (As) and fluoride (F-) in groundwater on a Pan-European scale could be explained by the geological European context (lithology and structural faults). To test this hypothesis, seventeen countries and eighteen geological survey organizations (GSOs) have participated in the dataset. The methodology has used the HydroGeoToxicity (HGT) and the Baseline Concentration (BLC) index. The results prove that most of the waters considered in this study are in good conditions for drinking water consumption, in terms of As and/or F- content. A low proportion of the analysed samples present HGT≥ 1 levels (4% and 7% for As and F-, respectively). The spatial distribution of the highest As and/or F- concentrations (via BLC values) has been analysed using GIS tools. The highest values are identified associated with fissured hard rock outcrops (crystalline rocks) or Cenozoic sedimentary zones, where basement fractures seems to have an obvious control on the distribution of maximum concentrations of these elements in groundwaters. This research was co-funded by the European Union’s Horizon 2020 research and innovation program (GeoERA HOVER project) under grant agreement number 731166. D. Voutchkova, B. Hansen, and J. Schullehner were also supported by Innovation Fund Denmark (funding agreement number 8055- 00073B). N. Rman participation was supported by the Slovenian Research Agency, research program P1-0020 Groundwaters and Geochemistry. A. Felter, J. Cabalska and A. Mikołajczyk participation was supported by the Polish Ministry of Education and Science. E. Giménez-Forcada is grateful for the support received from the CIPROM/2021/032 Project. Valencian Government. University of Valencia (Spain).

The Water Framework Directive (WFD) aims to protect and improve water quality across Europe through an integrative and multi-level water governance approach. The goal is to ensure that water quality in Europe meets good ecological status by 2027. Whilst the WFD has been hailed as a cornerstone for governance innovation in water management, most EU member states (MS) still struggle to achieve good ecological status of their waters. The realignment to a multi-level governance structure under the WFD is discretionary, and has generated diversity in WFD multi-level governance implementation approaches and final governance arrangements across MS. This diversity may contribute to low goal achievement and weak compliance. This paper investigates how visual impressions of legislative structure across nine MS can illustrate and contribute to understanding the differences in multi-level implementation of WFD and associated water protection directives. We explore, indepth, the drivers of visual differences in Portugal, Germany (Lower Saxony) and France. We hypothesise that many of the challenges of WFD implementation, and resulting governance arrangements can be explained in terms of the legacy effects of previous water governance choices. With this conceptual framework of investigating the history and legacy, we found the three in depth studies have had different starting points, paths, and end points in their water governance, with sticking points influencing the decision-making processes and compliance required by the WFD. Sticking points include the complexity of existing water governance structures, lobbying by different sectors, and the mandatory WFD timeline for implementation. Portugal had to resolve its focus on water infrastructure and engineering to enable a re-focus on water quality. France and Portugal experienced ‘top down’ governance at different points in time, slowing the shift to a multi-level governance system. Lower Saxony, representing just one of 16 federal state systems in Germany, highlighted the complex historic governance structures which cannot easily be restructured, generating a layering effect where new governance systems are fitted to old governance systems. We conclude that there is a need to implement a hybrid approach to water governance and WFD implementation including decentralisation (discretionary) to ensure collaboration and engagement of stakeholders at the local level. This hybrid governance system should run in parallel with a centralised (mandatory) governance and regulatory system to enable national environmental standards to be set and enforced. Such systems may provide the best of both worlds (bottom-up involvement of stakeholders meeting top-down goal achievements) and is worthy of further research. Bibliografija: str. 16-17.