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Abstract Biochemical Oxygen Demand (BOD) is an indicator of organic pollution in freshwater bodies correlated to microbiological contamination. High BOD concentrations reduce oxygen availability, degrade aquatic habitats and biodiversity, and impair water use. High BOD loadings to freshwater systems are mainly coming from anthropogenic sources, comprising domestic and livestock waste, industrial emissions, and combined sewer overflows. We developed a conceptual model (GREEN+ BOD) to assess mean annual current organic pollution (BOD fluxes) across Europe. The model was informed with the latest available European datasets of domestic and industrial emissions, population and livestock densities. Model parameters were calibrated using 2008–2012 mean annual BOD concentrations measured in 2157 European monitoring stations, and validated with other 1134 stations. The most sensitive model parameters were abatement of BOD by secondary treatment and the BOD decay exponent of travel time. The mean BOD concentrations measured in monitored stations was 2.10 mg O 2 /L and predicted concentrations were 2.54 mg O 2 /L; the 90th percentile of monitored BOD concentration was 3.51 mg O 2 /L while the predicted one was 4.76 mg O 2 /L. The model could correctly classify reaches for BOD concentrations classes, from high to poor quality, in 69% of cases. High overestimations (incorrect classification by 2 or more classes) were 2% and large underestimations were 5% of cases. Across Europe about 12% of freshwater network was estimated to be failing good quality due to excessive BOD concentrations (>5 mg O 2 /L). Dominant sources of BOD to freshwaters and seas were point sources and emissions from intensive livestock systems. Comparison with previous assessments confirms a decline of BOD pollution since the introduction of EU legislation regulating water pollution. Graphical abstract Unlabelled Image Highlights • A new BOD conceptual model was developed using the most updated datasets. • Model parameters could be well identified using European BOD monitoring network. • Organic pollution (BOD > 5 mg/L) still affects about 14% of European surface waters. • In North Europe, livestock waste contributed 38–49% of BOD loads to the sea. • Domestic waste was the major source of BOD to the Mediterranean and Black seas. [ABSTRACT FROM AUTHOR]

Identifying, promoting and preserving a strategically planned green infrastructure (GI) network can provide ecological, economic and social benefits. It has also become a priority for the planning and decision-making process in sectors such as conservation, (land) resource efficiency, agriculture, forestry or urban development. In this paper we propose a methodology that can be used to identify and map GI elements at landscape level based on the notions of ecological connectivity, multi-functionality of ecosystems and maximisation of benefits both for humans and for natural conservation. Our approach implies, first, the quantification and mapping of the natural capacity to deliver ecosystem services and, secondly, the identification of core habitats and wildlife corridors for biota. All this information is integrated and finally classified in a two-level GI network. The methodology is replicable and flexible (it can be tailored to the objectives and priorities of the practitioners); and it can be used at different spatial scales for research, planning or policy implementation. The method is applied in a continental scale analysis covering the EU-27 territory, taking into account the delivery of eight regulating and maintenance ecosystem services and the requirements of large mammals’ populations. The best performing areas for ecosystem services and/or natural habitat provision cover 23% of Europe and are classified as the core GI network. Another 16% of the study area with relatively good ecological performance is classified as the subsidiary GI network. There are large differences in the coverage of the GI network among countries ranging from 73% of the territory in Estonia to 6% in Cyprus. A potential application of these results is the implementation of the EU Biodiversity Strategy, assuming that the core GI network might be crucial to maintain biodiversity and natural capital and, thus, should be conserved; while the subsidiary network could be restored to increase both the ecological and social resilience. This kind of GI analysis could be also included in the negotiations of the European Regional Development Funds or the Rural Development Programmes. [ABSTRACT FROM AUTHOR]

Abstract: Agriculture is responsible for large scale water quality degradation and is estimated to contribute around 55% of the nitrogen entering the European Seas. The key policy instrument for protecting inland, transitional and coastal water resources is the Water Framework Directive (WFD). Reducing nutrient losses from agriculture is crucial to the successful implementation of the WFD. There are several mitigation measures that can be implemented to reduce nitrogen losses from agricultural areas to surface and ground waters. For the selection of appropriate measures, models are useful for quantifying the expected impacts and the associated costs. In this article we review some of the models used in Europe to assess the effectiveness of nitrogen mitigation measures, ranging from fertilizer management to the construction of riparian areas and wetlands. We highlight how the complexity of models is correlated with the type of scenarios that can be tested, with conceptual models mostly used to evaluate the impact of reduced fertilizer application, and the physically-based models used to evaluate the timing and location of mitigation options and the response times. We underline the importance of considering the lag time between the implementation of measures and effects on water quality. Models can be effective tools for targeting mitigation measures (identifying critical areas and timing), for evaluating their cost effectiveness, for taking into consideration pollution swapping and considering potential trade-offs in contrasting environmental objectives. Models are also useful for involving stakeholders during the development of catchments mitigation plans, increasing their acceptability. [Copyright &y& Elsevier]

Highlights: [•] The global nitrogen loss due to food waste is estimated. [•] Virtual nitrogen delivered to the environment associated to food waste is assessed. [•] A life cycle assessment on EU food indicates 65% of nitrogen emission ends in water. [•] In EU 12% of water nitrogen diffuse pollution from agriculture is linked to food waste. [ABSTRACT FROM AUTHOR]

Abstract: Cases of severe eutrophication are still observed in European surface waters even though tough regulation has been in place since the beginning of the 1990s to control nutrient losses and inputs in the environment. The purpose of this paper is to evaluate the evolution since 1991 of the quality of the water entering European seas in terms of the concentration of major nutrients (nitrogen and phosphorus), and to analyze the effectiveness of implemented national/international measures and EU legislation in reducing water nutrient pollution. Despite the reduction in large portions of the European territory of agricultural nutrient applications and nutrient point source emissions, the impact on water quality is limited. It is shown using two large river basins that this lack of response for nitrogen, and nitrate in particular, between the reduction of the nitrogen surplus and the recovery of water quality is partly explained by the lag time due to transfer of nitrates in the unsaturated and saturated zones and storage in the soils and aquifers. In order to monitor efficiently the impact of policy implementation on water quality, the Nitrates Directive and the Urban Waste Water Treatment Directive in particular, it is recommended to use long term permanent monitoring stations to be able to separate the impact of climate variability from that of policy implementation. It is also recommended to investigate and develop harmonized methodologies for estimating the lag time in order to come up with realistic estimates of response time of water bodies due to the implementation of measures. [Copyright &y& Elsevier]

Many European countries face high nutrient loadings and the scientific community is asked to provide tools and methodologies to quantify the pressure on the environment originating from agriculture. This paper presents a tiered approach for addressing nutrient fate at various scales that makes best use of readily available data at EU level. A statistical nitrogen source apportionment model is applied in the Loire and Vilaine river basins to identify areas with highest losses. The physically based model SWAT is then used to identify within those areas, the major processes and pathways controlling nutrient losses. It is shown that groundwater is the major contributor to total nitrate load in the streams. Finally, the farm-scale model EPIC is used to elaborate appropriate farming practices. It is predicted that using a winter catch crop will reduce significantly nitrate leaching without endangering the farm economic sustainability. [Copyright &y& Elsevier]

• Substantial potential for mitigating assessed impacts by strategic perennialization. • Highest mitigation potential found for accumulated SOC losses. • Priority areas for strategic perennialization scattered across EU. • Main ''hot spots'': Denmark, western UK, The Po valley in Italy, and the Danube basin. • 10–46% of current annual crops in EU within priority areas. Society faces the double challenge of increasing biomass production to meet the future demands for food, materials and bioenergy, while addressing negative impacts of current (and future) land use. In the discourse, land use change (LUC) has often been considered as negative, referring to impacts of deforestation and expansion of biomass plantations. However, strategic establishment of suitable perennial production systems in agricultural landscapes can mitigate environmental impacts of current crop production, while providing biomass for the bioeconomy. Here, we explore the potential for such "beneficial LUC" in EU28. First, we map and quantify the degree of accumulated soil organic carbon losses, soil loss by wind and water erosion, nitrogen emissions to water, and recurring floods, in ∼81.000 individual landscapes in EU28. We then estimate the effectiveness in mitigating these impacts through establishment of perennial plants, in each landscape. The results indicate that there is a substantial potential for effective impact mitigation. Depending on criteria selection, 10–46% of the land used for annual crop production in EU28 is located in landscapes that could be considered priority areas for beneficial LUC. These areas are scattered all over Europe, but there are notable "hot-spots" where priority areas are concentrated, e.g., large parts of Denmark, western UK, The Po valley in Italy, and the Danube basin. While some policy developments support beneficial LUC, implementation could benefit from attempts to realize synergies between different Sustainable Development Goals, e.g., "Zero hunger", "Clean water and sanitation", "Affordable and Clean Energy", "Climate Action", and "Life on Land". [ABSTRACT FROM AUTHOR]

Several international initiatives have highlighted the need to prove the relevance of ecosystem services in monetary terms in order to make a comprehensive and compelling case for conservation of biodiversity. The different approaches and frameworks used so far have shown that there is no economic or monetary estimate of ecosystems or ecosystem services with absolute validity: any valuation exercise is always context-related and the theoretical rationale behind the applied valuation technique does matter. This study presents an approach for assessing ecosystem services in monetary terms to support conservation policies at the regional and continental scale. First we briefly review the foundation of environmental and ecological economics, second we explore the differences between economic models and the application of valuation techniques, third we try to pick the difference between the mainstream economic valuation approach and the translation of biophysical models’ outcomes in monetary terms. Then we present and discuss a methodology suitable for associating a monetary cost to ecosystem services when the purpose addresses conservation policies. In order to provide a contribution, we show a practical case study on water purification in the northern Mediterranean region. [ABSTRACT FROM AUTHOR]

Agricultural production systems are sensitive to weather and climate anomalies and extremes as well as to other environmental and socio-economic adverse events. An adequate evaluation of the resilience of such systems helps to assess food security and the capacity of society to cope with the effects of global warming and the associated increase of climate extremes. Here, we propose and apply a simple indicator of resilience of annual crop production that can be estimated from crop production time series. First, we address the problem of quantifying resilience in a simplified theoretical framework, focusing on annual crops. This results in the proposal of an indicator, measured by the reciprocal of the squared coefficient of variance, which is proportional to the return period of the largest shocks that the crop production system can absorb, and which is consistent with the original ecological definition of resilience. Subsequently, we show the sensitivity of the crop resilience indicator to the level of management of the crop production system, to the frequency of extreme events as well as to simplified socio-economic impacts of the production losses. Finally, we demonstrate the practical applicability of the indicator using historical production data at national and sub-national levels for France. The results show that the value of the resilience indicator steeply increases with crop diversity until six crops are considered, and then levels off. The effect of diversity on production resilience is highest when crops are more diverse (i.e. as reflected in less well correlated production time series). In the case of France, the indicator reaches about 60% of the value that would be expected if all crop production time-series were uncorrelated. Unlabelled Image • An easy-to-compute index to estimate crop production resilience is proposed. • The proposed index quantifies the added value of crop diversity. • Estimated resilience increases with higher agro-management levels. [ABSTRACT FROM AUTHOR]

Abstract The Water Framework Directive (WFD) is a pioneering piece of legislation that aims to protect and enhance aquatic ecosystems and promote sustainable water use across Europe. There is growing concern that the objective of good status, or higher, in all EU waters by 2027 is a long way from being achieved in many countries. Through questionnaire analysis of almost 100 experts, we provide recommendations to enhance WFD monitoring and assessment systems, improve programmes of measures and further integrate with other sectoral policies. Our analysis highlights that there is great potential to enhance assessment schemes through strategic design of monitoring networks and innovation, such as earth observation. New diagnostic tools that use existing WFD monitoring data, but incorporate novel statistical and trait-based approaches could be used more widely to diagnose the cause of deterioration under conditions of multiple pressures and deliver a hierarchy of solutions for more evidence-driven decisions in river basin management. There is also a growing recognition that measures undertaken in river basin management should deliver multiple benefits across sectors, such as reduced flood risk, and there needs to be robust demonstration studies that evaluate these. Continued efforts in 'mainstreaming' water policy into other policy sectors is clearly needed to deliver wider success with WFD goals, particularly with agricultural policy. Other key policy areas where a need for stronger integration with water policy was recognised included urban planning (waste water treatment), flooding, climate and energy (hydropower). Having a deadline for attaining the policy objective of good status is important, but even more essential is to have a permanent framework for river basin management that addresses the delays in implementation of measures. This requires a long-term perspective, far beyond the current deadline of 2027. Graphical abstract Unlabelled Image Highlights • Monitoring and assessment needs to better reflect improvement in ecological status • Management actions must account for the effects of multiple stressors • WFD management targets need to acknowledge long-term recovery time-scales • Water resource protection must be mainstreamed into other policy instruments • WFD implementation must acknowledge management needs beyond 2027 [ABSTRACT FROM AUTHOR]

This study provides an innovative process-based modelling approach using the SWAT model and shows its application to support the implementation of the European environmental policies in large river basins. The approach involves several pioneering modelling aspects: the inclusion of current management practices; an innovative calibration and validation methodology of streamflow and water quality; a sequential calibration starting from crop yields, followed by streamflow and nutrients; and the use of concentrations instead of loads in the calibration. The approach was applied in the Danube River Basin (800,000 km 2 ), the second largest river basin in Europe, that is under great nutrients pressure. The model was successfully calibrated and validated at multiple gauged stations for the period 1995–2009. About 70% and 61% of monthly streamflow stations reached satisfactory performances in the calibration and validation datasets respectively. N-NO 3 monthly concentrations were in good agreement with the observations, albeit SWAT could not represent accurately the spatial variability of the denitrification process. TN and TP concentrations were also well captured. Yet, local discrepancies were detected across the Basin. Baseflow and surface runoff were the main pathways of water pollution. The main sinks of TN and TP diffuse emissions were plant uptake which captured 58% of TN and 92% of TP sources, then soil retention (35% of TN and 2% of TP), riparian filter strips (2% both for TN and TP) and river retention (2% of TN and 4% of TP). Nitrates in the aquifer were estimated to be around 3% of TN sources. New reliable “state-of-the-art” knowledge of water and nutrients fluxes in the Danube Basin were thus provided to be used for assessing the impact of best management practices and for providing support to the implementation of the European Environmental Directives. [ABSTRACT FROM AUTHOR]

The relationship between biodiversity and each ecosystem service or bundle of ecosystem services (e.g. win−win, win−lose or win−neutral) is an active field of research that requires structured and consistent information. The application of that research for conservation and decision-making can be hampered by the ambiguity found in the definition of the nursery function under the ecosystem service perspective. In this paper, we review how the role of nursery habitats is included in the ecosystem services literature, covering conceptual, biophysical and economic reflections. The role of ecosystems as nurseries is mostly analyzed in coastal environments. The main observation is that there is no consensus on the consideration of the nursery function as a service (e.g. which species or habitats) or on how to assess it (e.g. which indicators or valuation methods). After that review, we analyze three different interpretations given to the nursery function, namely the ecological, conservationist and economic point of view; and we distinguish between different types of assessment that may consider the nursery function. We conclude that the nursery function can be considered an ecosystem service on its own right when it is linked to a concrete human benefit and not when it is represented with indicators of general biodiversity or ecosystem condition. Thus, the analysis of the delivery of ecosystem services should be differentiated from the analysis of ecological integrity. Only with this distinction science may be able to quantify the link between biodiversity and ecosystem services and policy may be effective in halting biodiversity loss. Similar considerations could apply for other biodiversity constituents that may be treated as ecosystem services. [ABSTRACT FROM AUTHOR]

[Display omitted] • Probability of river impacts occurrences were estimated from pressure indicators. • Good ecological status failure, nutrient and organic pollution were well predicted. • Probability to fail achieving good ecological status was >60% in 36% of river length. • Hydro-morphological alteration mapping requires specific water pressure indicators. • The maps of impact occurrence probability are useful for river basin management. Understanding how anthropogenic pressures affect river ecological status is pivotal to designing effective management strategies. Knowledge on river aquatic habitats status in Europe has increased tremendously since the introduction of the European Union Water Framework Directive, yet heterogeneities in mandatory monitoring and reporting still limit identification of patterns at continental scale. Concurrently, several model and data-based indicators of anthropogenic pressures to freshwater that cover the continent consistently have been developed. The objective of this work was to create European maps of the probability of occurrence of river conditions, namely failure to achieve good ecological status, or to be affected by specific pervasive impacts. To this end, we applied logistic regression methods to model the river conditions as functions of continental-scale water pressure indicators. The prediction capacity of the models varied with river condition: the probability to fail achieving good ecological status, and occurrence of nutrient and organic pollution were rather well predicted; conversely, chemical (other than nutrient and organic) pollution and alteration of habitats due to hydrological or morphological changes were poorly predicted. The most important indicators explaining river conditions were the shares of agricultural and artificial land, mean annual net abstractions, share of pollution loads from point sources, and the share of upstream river length uninterrupted by barriers. The probability of failing to achieve good ecological status was estimated to be high (>60%) for 36% of the considered river network of about 1.6 M km. Occurrence of impact of nutrient pollution was estimated high (>60%) in 26% of river length and that of organic pollution 20%. The maps are built upon information reported at country level pursuant EU legal obligations, as well as indicators generated from European scale models and data: both sources are affected by epistemic uncertainty. In particular, reported information depend on data collection scoping and schemes, as well as national knowledge and interpretation of river system pressures. In turn, water pressure indicators are affected by heterogeneous biases due to incomplete or incorrect inputs and uncertainty of models adopted. Lack of effective reach- and site-scale indicators may hamper detection of locally relevant impacts, for example in explaining alteration of habitats due to morphological changes. The probability maps provide a continental snapshot of current river conditions, and offer an alternative source of information on river aquatic habitats, which may help filling in knowledge gaps. Foremost, the analysis demonstrates the need for developing more effective continental-scale indicators for hydromorphological alterations and chemical pollution. [ABSTRACT FROM AUTHOR]

ESPRES ( E fficient S trategies for anthropogenic P ressure R eduction in E uropean water S heds) is a web-based Decision Support System (DSS) designed to explore management options for achieving environmental targets in European freshwaters. The tool integrates multi-objective optimization (MOO) algorithms for selecting the best management options in a river basin and models assessing the consequent changes in the water quantity (water flow) and quality (nutrient concentration). The MOO engine identifies Pareto front strategies that are trade-offs between environmental objectives for water bodies and the effort required for reducing the pressures. The web interface provides tools to set the effort perceived by different river basin stakeholders considering technical feasibility, political difficulty, and social acceptability of the alternative options. The environmental impact of management options (scenarios) is assessed with models developed at the European scale. ESPRES enables comparison of management solutions and allows quantifying environmental and socio-economic trade-offs inherent to the decision making process. Unlabelled Image • ESPRES helps exploring management options for reducing pressures in European basins. • Stakeholder (web users) tailor water management analysis based on their knowledge. • ESPRES identifies trade-offs between environmental outcomes and perceived effort. • Environmental outcomes are based on scientific models, effort on user knowledge. • Interactive web-tools support transparent decision-making based on science. [ABSTRACT FROM AUTHOR]