Giovanni Bidoglio

Mapping and assessment of ecosystems and their services: An analytical framework for ecosystem assessments under action 5 of the EU biodiversity strategy to 2020

In the EU, many ecosystems and their services have been degraded 1,2 . Target 2 focuses on maintaining and enhancing ecosystem services and restoring degraded ecosystems by incorporating green infrastructure in spatial planning. This will contribute to the EUs sustainable growth objectives and to mitigating and adapting to climate change, while promoting economic, territorial and social cohesion and safeguarding the EUs cultural heritage. It will also ensure better functional connectivity between ecosystems within and between Natura 2000 areas and in the wider countryside. Target 2 incorporates the global Aichi target 15 agreed by EU Member States and the EU in Nagoya to restore 15% of degraded ecosystems by 2020. It is also a direct response to Aichi targets 2 and 14 of the Global Strategic Plan for Biodiversity, 2011-2020 of Convention of Biological Diversity 3 .

Sensitivity analysis of distributed environmental simulation models: understanding the model behaviour in hydrological studies at the catchment scale

Abstract The development of new hydrological simulation tools allows for the modelling of large hydrological catchments, with the aim of comprehensive management of the water resources, control of diffuse pollution processes, such as the fate of agricultural fertilizants and finally, with purposes of economical optimization of the crop yields as a function of the expected climate, the watershed characteristics and the socio-economical conditions of the region where the catchment is located. This paper describes the sensitivity analysis of a hydrological distributed model applied in one large European watershed by using a two-step procedure. Firstly, it allows for the consideration of a huge input parameter data set by using an implementation of the Morris screening procedure, eschewing the huge computational requirements arising from the necessary repetitive simulations. In the second step it provides quantitative estimations of sensitivity in terms of variance decomposition procedures based upon the FAST method for both the hydrological and the water quality determinants.

Potential water saving through changes in European diets.

This study quantifies the water footprint of consumption (WFcons) regarding agricultural products for three diets - the current diet (REF), a healthy diet (HEALTHY) and a vegetarian diet (VEG) - for the four EU zones WEST, NORTH, SOUTH and EAST. The WFcons related to the consumption of agricultural products (4265l per capita per day or lcd) accounts for 89% of the EUs total WFcons (4815lcd). The effect of diet has therefore an essential impact on the total WFcons. The current zonal WFcons regarding agricultural products is: 5875lcd (SOUTH), 4053lcd (EAST), 3761lcd (WEST) and 3197lcd (NORTH). These differences are the result of different consumption behaviours as well as different agricultural production methods and conditions. From the perspective of a healthy diet based on regional dietary guidelines, the intake of several product groups (sugar, crop oils, animal fats and meat) should be decreased and increased for others (vegetables, fruit). The WFcons regarding agricultural products for the alternative diets are the following: HEALTHY 4110lcd (-30%) and VEG 3476lcd (-41%) for SOUTH; HEALTHY 3606lcd (-11%) and VEG 2956lcd (-27%) for EAST; HEALTHY 2766lcd (-26%) and VEG 2208lcd (-41%) for WEST; HEALTHY 3091lcd (-3%) and VEG 2166lcd (-32%) for NORTH. Both the healthy and vegetarian diets thus result - consistent for all zones - in substantial WFcons reductions. The largest reduction takes place for the vegetarian diet. Indeed, a lot of water can be saved by EU citizens by a change in their diet.

A long-term hydrological modelling of the Upper Guadiana river basin (Spain)

Abstract The Upper Guadiana catchment has experienced a change from wetlands to dry lands induced by human action. The Soil and Water Assessment Tool model, a soil water budget simulator for agricultural watersheds, was applied to this catchment. The ability of the model to represent the impact of groundwater withdrawals on the hydrological behaviour of the basin has been demonstrated, even if the details of some processes are not well represented from one year to another. This is probably due to a lack of sufficient rainfall data or information to model the influence of the reservoirs. An analysis of alternative scenarios has demonstrated the usefulness of the model for decision-making and the relevance of growing vines under semi-arid conditions instead of high water consumption crops to reduce water demand.

Lost water and nitrogen resources due to EU consumer food waste

The European Parliament recently called for urgent measures to halve food waste in the EU, where consumers are responsible for a major part of total waste along the food supply chain. Due to a lack of data on national food waste statistics, uncertainty in (consumer) waste quantities (and the resulting associated quantities of natural resources) is very high, but has never been previously assessed in studies for the EU. Here we quantify: (1) EU consumer food waste, and (2) associated natural resources required for its production, in term of water and nitrogen, as well as estimating the uncertainty of these values. Total EU consumer food waste averages 123 (min 55–max 190) kg/capita annually (kg/cap/yr), i.e. 16% (min 7–max 24%) of all food reaching consumers. Almost 80%, i.e. 97 (min 45–max 153) kg/cap/yr is avoidable food waste, which is edible food not consumed. We have calculated the water and nitrogen (N) resources associated with avoidable food waste. The associated blue water footprint (WF) (the consumption of surface and groundwater resources) averages 27 litre per capita per day (min 13–max 40 l/cap/d), which slightly exceeds the total blue consumptive EU municipal water use. The associated green WF (consumptive rainwater use) is 294 (min 127–max 449) l/cap/d, equivalent to the total green consumptive water use for crop production in Spain. The nitrogen (N) contained in avoidable food waste averages 0.68 (min 0.29–max 1.08) kg/cap/yr. The food production N footprint (any remaining N used in the food production process) averages 2.74 (min 1.02–max 4.65) kg/cap/yr, equivalent to the use of mineral fertiliser by the UK and Germany combined. Among all the food product groups wasted, meat accounts for the highest amounts of water and N resources, followed by wasted cereals. The results of this study provide essential insights and information on sustainable consumption and resource efficiency for both EU policies and EU consumers.

The water footprint of Milan

This study quantifies the water footprint of consumption (WFcons) and production (WFprod) of Milan. The current WFcons amounts to 6,139 l/cap/d (a volume of 2.93 km(3) annually), of which 52 l/cap/d (1%) is attributed to domestic water, 448 l/cap/d (7%) to the consumption of industrial products and 5,639 l/cap/d (92%) to the consumption of agricultural products. The WFprod is 52 l/cap/d. Milan is thus a net virtual water importer, predominantly through the import of agricultural products. These are produced outside city borders, both in Italy and abroad. This shows the dependency of city dwellers on water resources from other river basins. In addition, the WFcons for a healthy diet (based on Mediterranean Food-Based Dietary Guidelines) and a vegetarian diet are analysed. The current Milanese diet consists of too much sugar, crop oils, meat, animal fats, milk and milk products and not enough cereals, rice, potatoes, vegetables and fruit. The latter two diets result in substantial WFcons reductions: -29% (to 4,339 l/cap/d) for a healthy diet and -41% (to 3,631 l/cap/d) for a vegetarian diet. Indeed, a lot of water could be saved by Milan citizens through a change in their diet. A sustainable city should account for its impacts beyond its borders.

The water footprint of agricultural products in European river basins

This work quantifies the agricultural water footprint (WF) of production (WFprod, agr) and consumption (WFcons, agr) and the resulting net virtual water import (netVWi, agr) of 365 European river basins for a reference period (REF, 1996–2005) and two diet scenarios (a healthy diet based upon food-based dietary guidelines (HEALTHY) and a vegetarian (VEG) diet). In addition to total (tot) amounts, a differentiation is also made between the green (gn), blue (bl) and grey (gy) components. River basins where the REF WFcons, agr, tot exceeds the WFprod, agr, tot (resulting in positive netVWi, agr, tot values), are found along the London–Milan axis. These include the Thames, Scheldt, Meuse, Seine, Rhine and Po basins. River basins where the WFprod, agr, tot exceeds the WFcons, agr, tot are found in Western France, the Iberian Peninsula and the Baltic region. These include the Loire, Ebro and Nemunas basins. Under the HEALTHY diet scenario, the WFcons, agr, tot of most river basins decreases (max �32%), although it was found to increase in some basins in northern and eastern Europe. This results in 22 river basins, including the Danube, shifting from being net VW importers to being net VW exporters. A reduction (max �46%) in WFcons, agr, tot is observed for all but one river basin under the VEG diet scenario. In total, 50 river basins shift from being net VW importers to being net exporters, including the Danube, Seine, Rhone and Elbe basins. Similar observations are made when only the gn+bl and gn components are assessed. When analysing only the bl component, a different river basin pattern is observed. S Online supplementary data available from stacks.iop.org/ERL/9/064007/mmedia

Exploring restoration options for habitats, species and ecosystem services in the European Union

Summary The Convention on Biological Diversity (CBD) and the European Union have set a target of restoring 15% of degraded ecosystems by 2020 with the aim of conserving biodiversity and enhancing the supply of ecosystem services. This target must be implemented alongside other similar targets aimed at reducing the number of threatened habitat and species as assessed under the Birds and Habitats directives. However, there are several uncertainties associated with achieving these targets including the benefits of restoring biodiversity and ecosystem services, the contribution required from member states and the effect of different restoration scenarios on target achievement. In this study, we evaluate options that exist for meeting an EU-wide 15% restoration target while conserving habitats and species and enhancing ecosystem services. We explored the effects of different restoration scenarios on the percentage of threatened habitat and species secured. Lastly, we explored the effects of including financial cost into the prioritization procedure. Focusing restoration efforts on habitats with inadequate conservation status in the reporting of the Habitats Directive provides the largest benefit for species and ecosystem services. If the restoration target is set at 10% for habitat and species with inadequate or most threatened conservation status, and at 2% for all ecosystem services, about 18% of EU ecosystems should be restored to meet these targets. When the target is set at 15% of habitat and species and 3% of all ecosystem services, results showed that France hosts the highest percentage of identified priority areas (13%) followed by Spain and Finland with about 11% and Sweden with 9%. However, these numbers change when financial cost is included alongside other criteria, with France containing 35% of all areas identified. Synthesis and applications. These results suggest that to achieve the greatest benefits, funding for restoration should be directed towards habitats with inadequate conservation status rather than to species. Countries with larger areas of threatened habitat and lower restoration costs may offer better opportunities to meet targets, but including cost at the EU level may result in unequal burden sharing among countries.

Redox reactions and transport of selenium through fractured granite

Abstract Selenium (VI) migration through drill-core columns of granite was investigated as a function of water velocities under oxic and anoxic conditions. The measurement of Se(VI) recovery at the column outlet showed that a loss due to adsorption occurred. Comparison with the breakthrough curves of conservative tracers indicated that nonequilibrium of the sorption reaction did not contribute to the observed dependence of Se(VI) retention from the water velocity. A kinetically controlled redox transformation of Se(VI) to more strongly adsorbed Se species was postulated. Adsorption studies of selenate with pure minerals representative of granite weathering products indicated that iron sulfide inclusions can be important adsorbents for Se(VI). Synchrotron-based X-ray absorption spectroscopy measurements demonstrated that partial reduction of Se(VI) to Se(II) and Se(IV) occurred at the mineral surface.

Physical water scarcity metrics for monitoring progress towards SDG target 6.4: An evaluation of indicator 6.4.2 “Level of water stress”

Target 6.4 of the recently adopted Sustainable Development Goals (SDGs) deals with the reduction of water scarcity. To monitor progress towards this target, two indicators are used: Indicator 6.4.1 measuring water use efficiency and 6.4.2 measuring the level of water stress (WS). This paper aims to identify whether the currently proposed indicator 6.4.2 considers the different elements that need to be accounted for in a WS indicator. WS indicators compare water use with water availability. We identify seven essential elements: 1) both gross and net water abstraction (or withdrawal) provide important information to understand WS; 2) WS indicators need to incorporate environmental flow requirements (EFR); 3) temporal and 4) spatial disaggregation is required in a WS assessment; 5) both renewable surface water and groundwater resources, including their interaction, need to be accounted for as renewable water availability; 6) alternative available water resources need to be accounted for as well, like fossil groundwater and desalinated water; 7) WS indicators need to account for water storage in reservoirs, water recycling and managed aquifer recharge. Indicator 6.4.2 considers many of these elements, but there is need for improvement. It is recommended that WS is measured based on net abstraction as well, in addition to currently only measuring WS based on gross abstraction. It does incorporate EFR. Temporal and spatial disaggregation is indeed defined as a goal in more advanced monitoring levels, in which it is also called for a differentiation between surface and groundwater resources. However, regarding element 6 and 7 there are some shortcomings for which we provide recommendations. In addition, indicator 6.4.2 is only one indicator, which monitors blue WS, but does not give information on green or green-blue water scarcity or on water quality. Within the SDG indicator framework, some of these topics are covered with other indicators.