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Urban nature-based solutions (NBS) are increasingly deployed to restore ecosystems, regulate microclimates, support biodiversity, and enhance wellbeing. Yet many remain short-lived: once installation and early monitoring end, maintenance budgets shrink, responsibilities become unclear, and socio–ecological performance declines. The EU BiodivNBS NatureScape project addresses this overlooked post-implementation phase by examining how NBS are cared for, governed, and experienced over time in seven European cities – Oslo, Dublin, Riga, Milan, Lisbon, Lublin, and St. Gallen.To strengthen long-term sustainability, NatureScape establishes Transformation Labs (T-Labs) at demonstration sites, including rain gardens in Lublin; community gardens in Oslo, Riga, Milan, and St. Gallen; school gardens in Lisbon; and goat-grazing vegetation management in Dublin. These T-Labs function as practice-based innovation spaces where municipal authorities, researchers, and community groups jointly observe socio–ecological dynamics, identify stewardship challenges, and co-develop adaptive responses. The approach extends conventional living labs by focusing on long-term socio–ecological change and governance arrangements that support NBS persistence.NatureScape integrates baseline assessments across five forms of capital (natural, social, human, manufactured, financial) with participatory workshops, PPGIS, citizen science, and systems tools such as causal loop diagrams and multi-criteria assessments. This mixed-methods design enables analysis of NBS as dynamic systems shaped by interactions between ecological conditions, institutions, and community practices.Early findings from Oslo, Riga, Lublin and St. Gallen reveal recurrent barriers: unclear responsibilities after project funding ends, limited resources for routine care and climate adaptation, insecure land tenure, weak alignment with municipal strategies, and uneven community participation. In St. Gallen, expectations to expand activities, actors, or spatial scope further increase complexity and demand stronger management capacities.This study presents the NatureScape framework for post-implementation NBS governance and demonstrates how T-Labs can: (i) shift perceptions of NBS from temporary projects to living infrastructures requiring continuous care; (ii) clarify and redistribute responsibilities and resources for long-term stewardship; and (iii) provide structured settings where new forms of cooperation and valuation can be tested and embedded in policy. Embedding co-maintenance and co-stewardship as core practices can help cities move beyond pilot projects toward durable, multifunctional NBS aligned with EU and global biodiversity frameworks and targets.
2026
Nitrogen dioxide (NO2) is a well-known air pollutant, mostly elevated by car traffic in cities. To date, small, reliable, cost-efficient multipollutant sensors with sufficient power and accuracy for community-based atmospheric studies are still lacking. The HAPADS (highly accurate and autonomous programmable platforms for providing air pollution data services) platforms, developed and tested in real conditions, can be a possible approach to solving this issue. The developed HAPADS platforms are equipped with three different NO2 sensors (7E4-NO2–5, SGX-7NO2, MICS-2711 MOS) and a combined ambient air temperature, humidity, and pressure sensor (BME280). The platforms were tested during the driving test, which was conducted across various roads, including highways, expressways, and national and regional routes, as well as major cities and the countryside, to analyse the environmental conditions as much as possible (Poland, 2024). The correlation coefficient r was more than 0.8, and RMSE (root mean squared error) was in the 3.3–4.3 μg/m3 range during the calibration process. The results obtained during the driving tests showed R2 of 0.9–1.0, which proves the ability of HAPADS platforms to work in the hard environmental conditions (including high rain and snow, as well as sun and a wide range of temperatures and humidity).
2026
A multi-year analysis of aerosol optical depth (AOD, τ) and Ångström exponent (α) was conducted using ground-based photometer data from 15 Arctic and 11 Antarctic sites. Extending the dataset of (Tomasi et al., 2015) through December 2024, the study incorporates stellar and lunar photometric observations to fill data gaps during the polar night. Daily mean values of τ at 0.500 µm and α (0.440–0.870 µm) were used to derive monthly means and seasonal histograms. In the Arctic, persistent haze events in winter and early spring lead to peak τ values. A decreasing trend in Arctic τ suggests the impact of European emission regulations, while biomass-burning aerosols are becoming more significant. In Antarctica, τ increases from the plateau to the coast. Fine-mode aerosols dominate in summer-autumn, while coarse-mode particles are more prevalent in winter-spring. Shipborne photometer data align well with ground-based measurements, confirming the reliability of mobile observations. Trend analyses using the Mann-Kendall test and Theil-Sen regression indicate a significant negative trend in τ at Andenes (−2.43 % per year), likely driven by reduced anthropogenic emissions. Antarctic stations such as Syowa and South Pole show positive trends (+3.84 % and +3.54 % per year), though these are subject to uncertainties from data limitations and instrument changes. This work contributes to the Polar-AOD network (https://polaraod.net/, last access: 15 May 2025), enhancing the understanding of aerosol variability and long-term trends in polar regions while promoting open data access for the scientific community.
2026
Start-up asked for regulation changes to allow controversial marine carbon storage
Gigablue applied for permission to put a thousand tonnes of its particles in New Zealand waters - but was told its plans amounted to marine dumping.
2026
2026
Tracking the Path to Cleaner Cities using Global Urban NO₂ Monitoring from Space
Tracking air pollution is essential for evaluating the effectiveness of urban air-quality and emission-control policies and their impact on public health. Unlike previous satellite-based urban NO₂ studies that typically rely on linear trends, aggregated data, and limited meteorological correction, we use high-resolution TROPOMI observations with an AirGAM framework to estimate meteorology-adjusted, non-linear NO₂ TVCD trends across 5,435 cities worldwide (2019–2024). Daily satellite observations, together with ERA5 meteorology, are used to remove weather and seasonal effects so that trends primarily reflect changes in emissions. 1,400 cities had significant trends, with 79% showing declines, indicating an overall global drop in urban NO₂ TVCD. East Asia, particularly China (99% of cities with significant trend), and Europe (95%) led the global reductions. Cities in the USA with significant trends (n = 14) also experienced a decline. NO₂ TVCD levels increased most sharply in the cities of the Middle East, Central, and South Asia. The most populated examples are Tehran (3.1% yr-1 [95% CI: 0.7–5.5]) and Cairo (1.4% yr-1 [0.1–2.6]).
2026
Global mapping of city-level economic growth decoupling from fossil fuels
Cities seek to generate economic prosperity while reducing their dependence on fossil fuel combustion, yet tracking such progress at the city level remains challenging because of the limited and inconsistent emissions and economic data. Here we introduce an objective, globally consistent framework to measure decoupling between fossil fuel use and economic growth, either through reduced fuel use or shifts toward cleaner/more efficient combustion, proxied by tropospheric nitrogen dioxide columns combined with second-level administrative gross domestic product per capita based on purchasing power parity data. Analysing 5,435 cities globally over 2019–2024, we identify significant trends for 2,475 cities and classify them into 4 decoupling states. We find that 80% of these cities, mainly located in China, Europe and North America, enjoy relative decoupling, whereas 16%, mainly located in India and the Middle East, experience fossil fuel-dependent growth. Beyond these patterns, the described scalable satellite-based methodology can be revisited regularly to monitor city-level green growth and support urban policy effectiveness.
2026
This study investigates the contamination of both ingested plastics and plasma of northern fulmars (Fulmarus glacialis) with benzotriazole UV stabilisers (BUVSs) in Kongsfjorden and Isfjorden, Svalbard. Ingested plastics were collected from fulmars in 1997, 2009, 2013, 2020 and 2021. Additionally, plasma samples were collected specifically in 2020. BUVSs, including UV-320, UV-326, UV-327, UV-328 and UV-329, were detected in both ingested plastics and plasma, suggesting a potential for transfer from plastics to the bloodstream. However, additional studies are required to confirm such a transfer mechanism. BUVSs were detected as early as 1997 in ingested plastics, highlighting the potential long-term exposure of fulmars in Svalbard. UV-326, UV-328 and total BUVS concentrations in ingested plastics increased significantly between 1997 and 2021, but likely due to outliers. In plasma, there was no significant correlation between any of BUVS concentrations and the mass of ingested plastics except for UV-327, although relying on only three values above LOD. This study represents a first step in investigating the multiple exposures of fulmars, and more generally seabirds, to plastic and plastic related chemicals and their potential ecotoxicological risks. More specifically we recommend further studies extracting microplastics from seabirds to perform additional quantification of BUVSs or other additives to provide available datasets and deeper understanding of leaching from plastics and temporal trends.
2026
This study presents insights from the EU Biodiversa+ NatureScape project (2025–2028). The project offers a new perspective for understanding nature-based solutions (NBS) in cities by focusing on the post-implementation phase, in which environmental justice in urban planning is put to the test.In recent years, cities have increasingly pursued NBS in urban development projects such as community gardens, green roofs, and temporary green spaces to support biodiversity while simultaneously improving human well-being. Despite growing recognition of NBS in urban planning, their potential for cities' socio-ecological transformation remains constrained by overlooked post-implementation challenges. While the planning and implementation of NBS already receive considerable attention, critical dimensions of environmental justice – distributive equity, accessibility, and procedural justice for continuous public participation and stakeholder engagement – become apparent only in the post-implementation phase. This phase is characterized by dynamic interactions between social and ecological components, shaping whether NBS are consolidated and sustained in ways that contribute in the long term to transformative effects and environmental justice, or whether they instead undermine these aims.NatureScape addresses this critical transition and its challenges in urban planning. Through transformation laboratories (T-Labs) in seven cities (Oslo, Dublin, Riga, Milan, Lisbon, Lublin, and St. Gallen), the research team explores two central questions: (1) What enablers and barriers in urban planning shape the post-implementation stewardship of urban NBS? (2) What governance mechanisms, strategies, and measures lead to the successful integration of urban NBS into urban planning to unfold their transformative potential for biodiversity-positive transitions and environmental justice?Initial findings from the T-Labs reveal crucial barriers. The post-implementation phase is often reduced to technical maintenance. Insufficient incorporation of NBS into urban planning is associated with fragmented institutions and responsibilities, weak strategic and instrumental anchoring, financial insecurity, and the erosion of institutional and political support.The project identifies interconnected governance mechanisms that could successfully integrate NBS into urban planning: adaptive planning processes, institutional anchoring that fosters shared ownership among stakeholders, co-management approaches with formal agreements, public planning frameworks, and institutional structures that support integrated action. Together, these mechanisms highlight stewardship as a pivotal principle for achieving just and biodiversity-positive urban futures.
2026
Organ-specific in vitro models for prediction of hazard assessment of nanomaterials
Organ-specific multicellular in vitro models are used to mimic the lung-blood-brain axis, and to assess the nanomaterials (NMs) safety in humans. We employed a triculture lung model, a whole-blood model, an astrocytes-neurons coculture to examine health outcomes by three cerium dioxide (CeO2) NMs and silver (Ag) nanowires. Endpoints included cytotoxicity, gene expression, genotoxicity, inflammatory markers at the air–liquid interface (ALI), complement activation, and secondary toxicity in astrocytes-neurons coculture. Post-exposure, CeO2–3.5 nm high-dose decreased cell viability, no DNA damage was detected. At epithelial-macrophages interface, CeO2–50 nm upregulated surfactant protein A (SPA), cell surface death receptor (FAS), and heme oxygenase-1 (HMOX1), whereas CeO2–3.5 nm downregulated SPA. Ag-nanowires upregulated HMOX1, macrophage inflammatory protein-1β (MIP-1β), granulocyte colony-stimulator factor (G-CSF), chemokine C-X-C-motif ligand 1 (CXCL1). At endothelial side, CeO2–50 nm and − 3.5 nm, and Ag-nanowires upregulated HMOX1. In whole-blood model, CeO2–3.5 nm high-dose reduced terminal complement complex (TCC) proteins, while CeO2–50 nm and Ag-nanowires increased them. Nanomaterials activated CD11b+ on granulocytes and monocytes. Ag-nanowires conditioned-medium (CM) on astrocytes-neurons coculture, decreased cell viability. CeO2–50 nm CM upregulated IL1β, NFκB, and HMOX1. Overall, CeO₂–3.5 nm exhibits lung toxicity; CeO₂–50 nm CM triggers inflammatory response and Ag-nanowires CM may induce cytotoxicity in brain cells.
2026
Marine carbon dioxide removal is a big idea - with big hurdles
Explainer - A start-up company wants to carry out marine carbon dioxide removal in New Zealand waters. What is mCDR and why is it controversial?
2026
An inter-comparison of inverse models for estimating European CH4 emissions
Atmospheric inversions are widely used to evaluate and improve inventories of methane (CH4) emissions across scales from global to local, combining observations with atmospheric transport models. This study uses the dense network of in situ stations of the Integrated Carbon Observation System (ICOS) to explore how well in situ data can constrain European CH4 emissions. Following the concept of inter-comparison studies of the atmospheric tracer transport model inter-comparison Project (TransCom), a CH4 inverse inter-comparison modeling study has been performed, focusing on Europe for the period 2006–2018. The aim is to investigate the capability of inverse models to deliver consistent flux estimates at the national scale and evaluate trends in emission inventories, using a detailed dataset of CH4 emissions described and presented here for first time.
Study participants were asked to perform inverse modelling computations using a common database of a priori CH4 emissions and in-situ observations as specified in a protocol. The participants submitted their best estimates of CH4 emissions for the 27 European Union (EU-27) member states, the United Kingdom (UK), Switzerland, and Norway. Results were collected from 9 different inverse modelling systems, using 7 different global and regional transport models. The range of outcomes allows us to assess posterior emission uncertainty, accounting for transport model uncertainty and inversion design decisions, including a priori emission and model-data mismatch uncertainty.
This paper presents inversion results covering 15 years, that are used to investigate the seasonality and trends of CH4 emissions. The different inversion systems show a range of a posteriori emission adjustments, pointing to factors that should receive further attention in the design of inversions such as optimising background mole fractions. Most inverse models increase the seasonal cycle amplitude, by up to 400 Gg month−1, with the largest adjustments to the a priori emissions in Western and Eastern Europe. This might be due to underestimation of emissions from wetlands during summer or the importance of seasonality in other microbial sources, such as landfills and waste water treatment plants. In Northern Europe, absolute flux adjustments are comparatively small, which could imply that the emission magnitude is relatively well captured by the a priori, though the lower station density could contribute also.
Across Europe, the inverse models yield a similar decreasing trend in CH4 emissions compared to the a priori emissions (−12.3 % instead of −9.1 %) from 2006 to 2018. While both the a priori and the a posteriori trend for the EU-27 are statistically significant from zero, their difference is not. On a subregional scale, the differences between a posteriori and a priori trends are more statistically significant over regions with more in-situ measurement sites, such as over Western and Southern Europe.
Uncertainties in the a priori anthropogenic emissions, such as in the agriculture sector (cows, manure), or waste sector (microbial CH4 emissions), but also in the a priori natural emissions, e.g. wetlands, might be responsible for the discrepancies between the a priori and a posteriori emission shift in the trends in Western, Eastern and Southern Europe.
Our results highlight the importance of improving the inversion setup, such as the treatment of lateral boundary conditions and the model representation of measurement sites, to narrow the uncertainty ranges further. The referenced dataset related to the analysis and figures are available at the ICOS portal: https://doi.org/10.18160/KZ63-2NDJ (Ioannidis et al., 2025).
2026
A pan-European spatial inventory of agricultural land degradation
Agricultural land degradation is a contemporary reality that increasingly threatens food security and socio-economic stability in Europe and worldwide. Monitoring and controlling this environmental problem are complicated missions, considering that land degradation generally occurs as multiple processes in agricultural environments, which have not yet been thoroughly investigated as an integrated multi-process and multi-scale inventory in Europe. Here we developed a detailed multi-scale (continental to sub-regional) inventory of 12 key agricultural land degradation pathways in Europe, including water erosion, wind erosion, soil organic carbon loss, soil salinization, soil acidification, soil compaction, soil nutrient imbalances, soil pollution via pesticides, soil pollution via heavy metals, vegetation degradation, groundwater decline, and aridity. Using various and (generally) high-resolution geospatial datasets of land degradative pathways, which were mapped at critical levels and statistically explored as a spatial footprint at various territorial levels, we highlighted a complex geographical pattern of agricultural degradation across Europe. Our findings revealed that continental agricultural environments are between 1 and 52 % affected by critical levels of individual degradative processes. Essentially, our results highlighted that soil pollution via pesticides (which impacts 52 % of Europe's evaluated agricultural area), soil nutrient imbalances (39 %), soil pollution via heavy metals (31 %), aridity (25 %), water erosion (15 %), and soil compaction (15 %) are the largest threats to European agriculture. Furthermore, using a Land Multi-degradation Index that integrates the critical conditions of all degradative processes, we emphasized that 31 % of pan-European agricultural landscapes are impacted by significant multi-degradation (lands simultaneously affected by at least three co-occurring processes). This general picture of agricultural degradation becomes however increasingly heterogeneous towards the more detailed (national to sub-regional) territorial levels, according to the multiple maps (52) and statistics provided in this unprecedented integrated inventory, which has the potential to support various land degradation-related policies in Europe.
2026
Evaluating the role of low-cost sensors in machine learning based European PM2.5 monitoring
We evaluate the added value of integrating validated Low-Cost Sensor (LCS) data into a Machine Learning (ML) framework for providing surface PM2.5 estimates over Central Europe at 1 km spatial resolution. The synergistic ML-based S-MESH (Satellite and ML-based Estimation of Surface air quality at High resolution) approach is extended, to incorporate LCS data through two strategies: using validated LCS data as a target variable (LCST) and as an input feature via an inverse distance weighted spatial convolution layer (LCSI). Both strategies are implemented within a stacked XGBoost model that ingests satellite-derived aerosol optical depth, meteorological variables, and CAMS (Copernicus Atmospheric Monitoring Service) regional forecasts. Model performance for 2021–2022 is evaluated against a baseline trained on air quality monitoring stations without any form of LCS integration. Our results indicate that the LCSI approach consistently outperforms both the baseline and LCST models, particularly in urban areas, with RMSE reductions of up to 15–20 %. It also exhibits higher accuracy than the CAMS regional interim reanalysis with a lower annual mean absolute error (MAE) of 2.68 μg/m3 compared to 3.32 μg/m3. SHapley Additive exPlanations based analysis indicates that LCSI information improves both spatial and temporal representativeness, with the LCSI strategy better capturing localized pollution dynamics. However, the LCSI's dependency on the spatial LCS layer limits its ability to capture inter-urban pollution transport in regions with sparse or no LCS data. These findings highlight the value of large-scale sensor networks in addressing spatial coverage gaps in official air quality monitoring stations and advancing high-resolution air quality modeling.
2026
City-produced and transported black carbon: Synergy of in-situ optical measurements and modeling
The implementation of air pollution mitigation strategies requires not only high-quality continuous measurements of pollutants but also proper definitions of ways to differentiate between transported and locally produced contributions, as only the latter can be effectively reduced by authorities. To address this issue, we propose a new approach for partitioning monitored black carbon (BC) concentrations into city-produced (urban) and transported fractions using a combination of measured and modeled data. Two simultaneous measurement campaigns (warm season 2022 and cold season 2022/23) were conducted in two urban environments: Vilnius (Lithuania) and Warsaw (Poland). In the cold season in Warsaw, BC mass concentration was 90% higher than in the warm season, while in Vilnius, an increase of 44% was observed, as compared to the warm season. Aerosol optical properties showed more complex aerosol mixtures of dust, BC and brown carbon (BrC) during the cold season, forming larger particles. Single scattering albedo (SSA) anti-correlated with BCFF, proving that fossil fuel (FF) combustion contributes to the warming effect in both cities. A positive correlation between the population density of the emission areas of transported BC and the BC mass concentrations in Vilnius and Warsaw was found. The impact of transported BC on the local BC levels in the cities was of % and % in the cold season and of % and % in the warm season for Warsaw and Vilnius, respectively. Thus, the approach of BC partitioning showed that in the cold season, the two cities suffered from worse air quality, in part due to more transported BC.
2026
Urban Living Labs as Inter- and Transdisciplinary Arenas for Sustainability Planning Research
The transition towards sustainable societies necessitates inter- and transdisciplinary knowledge, particularly in urban planning, where diverse knowledge traditions are crucial for decision-making. Despite this, planning practices often remain entrenched in institutional and legal frameworks that hinder the integration of multiple ways of knowing and undervalue lay knowledge. Researcher-led urban innovation processes are increasingly adopting experimental approaches for the multi-stakeholder co-creation of knowledge, addressing urban challenges through interdisciplinary approaches. This article addresses the interdisciplinary collaboration between researchers in experimental urban planning processes by examining a research project that focused on participatory environmental co-monitoring and planning for urban air quality in Nordic contexts. The study builds a bridge between theories of interdisciplinarity, urban experimentation, and planning theory. By presenting urban living labs (ULLs) as arenas for co-learning that integrate scientific and lay knowledge, the article explores how planning researchers can facilitate mutual learning and navigate the micropolitics of knowledge co-production. We develop the concept of cross-disciplinary unknowns to highlight the dynamics and challenges in research teams with diverse epistemological backgrounds. We argue that an explicit and structured approach for explicating epistemological differences can facilitate the detection of unreflected knowledge retention between disciplines.
2026
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