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The sedimentary sequence of La Narce du Béage Basin is one of the few natural archives covering the last 18 ka cal. BP in the French Massif Central. This paper focuses on the palaeoecological reconstruction of environmental and climatic changes affecting this shallow periglacial lake from the Late-Glacial to the Early Holocene. After field surveys and geophysical mapping, two cores (cores A and D) were extracted and dated. Plant macrofossils, pollen, non-pollen palynomorphs (NPPs) and diatom assemblages were compared within the cores to study vegetation, temperature, pH, water level and ice cover changes through time. During the Oldest Dryas (18–14.75 ka cal. BP), climatic conditions were the coldest with a short ice-free season allowing the development of periphytic diatoms only (ecologically comparable to Arctic ones). A cold and dry steppe landscape – exposed to severe erosion – comprised an herbaceous and shrub flora (e.g. Artemisia , Chenopodiaceae, Helianthemum, Ephedra, Hippophaë, Juniperus). Animal presence is suggested by coprophilous fungi. Periphytic diatoms and allochtonous pollen (Cedrus) underline windy conditions, and the possible erosion of neo-formed soils. Then, during the Bølling-Allerød interstadial (14.75–12.7 ka cal. BP), the ice-free season increased and some trees/shrubs (Salix, Betula and Juniperus) established locally within open grasslands. During the Younger Dryas (12.7–11.7 ka cal. BP) cooler conditions favoured steppe taxa again (Helianthemum, Achillea, Artemisia , Caryophyllaceae, Ranunculaceae) and erosion increased. The ice cover on the lake prevailed even if the conditions were not as cold as during the Oldest Dryas. During the Preboreal (11.7–10 ka cal. BP) Isoëtes echinospora and I. lacustris developed in the eulittoral zone of the lake, which was surrounded by a swamp forest (with Betula nana and B. pubescens). Pinus sylvestris, Betula pendula, Corylus avellana and trees from the Quercetum mixtum rapidly established in the uplands. Occurrences of Gaeumannomyces and Xylomyces fungi – both phytopathogens on broadleaved trees – and decreasing herb values indirectly hint at a close forest canopy. At the beginning of the Boreal (10 ka cal. BP), aquatic and semi-aquatic taxa developed on open water due to longer ice-free seasons (diatoms, micro-algae, Alisma plantago-aquatica, Potamogeton, Typha). The final terrestrialization towards a mire occurred as a consequence of the Holocene warming and related to water chemistry changes (acidification, eutrophication). • During the last deglaciation, a very shallow lake established as demonstrated by palaeoecological data, such as epiphytic diatoms, living on rocks. • Late-Glacial steppe landscape with severe erosion, open grassland and possible mega-herbivore presence. Arctic-like conditions. • Development of shrubs or trees during the Bølling-Allerød interstadial and reduced ice-free season. • Dry and cold conditions persisted from the Younger Dryas to the Early Preboreal. Oligotrophic flora (Isoetids) established in the eulittoral zone. • During the post-glacial warming, the lake tended to acidify. Peat flora and organic matter accumulated and led to the terrestrialization of the lake. [ABSTRACT FROM AUTHOR]

France is one of the countries that have made commendable progress towards accomplishing sustainable development goals but still struggles with combating environmental challenges. Decarbonizing the energy sector by deploying clean energy and reducing fossil fuels in the energy mix are essential steps. The study uses annual time series data from 1980 to 2021 and employs the ridge regression estimation technique to estimate a twice-differentiable transcendental production function, which approximates the second-order Taylor series to explore the potential for such decarbonization for France. The study finds that substitution possibilities exist between clean energy and fossil fuels, with substantial substitution possibilities coming from nuclear energy. Nuclear energy and renewables are found to be complements that can be deployed concurrently, but since nuclear energy already constitutes a significant proportion of clean energy for France, the study recommends increasing the proportion of renewable energy in the overall energy mix as the most plausible path to decarbonization. Other complementary sustainable energy policies are recommended in the body of the paper. • The substitution elasticities between clean energy and fossil fuels were estimated. • A second-order Taylor series trans-log production function was specified. • Substitutability is found between clean energy and fossil fuels. • Nuclear energy currently dominates France's clean energy mix. • Increasing renewables in the clean energy mix is recommended. [ABSTRACT FROM AUTHOR]

• Overheating regulations and calculation methods in 26 European countries were compared. • Most of the existing calculation methods are outdated and do not fit climate-proof buildings. • France requires a mixed-mode operation of naturally ventilated households. • The UK developed a heatwave-based calculation approach. • Comfort-based, multi-zonal, and time-integrated calculation approaches are needed. With the ongoing significance of overheating calculations in the residential building sector, building codes such as the European Energy Performance of Building Directive (EPBD) are essential for harmonizing the indicators and performance thresholds. This paper investigates Europe's overheating calculation methods, indicators, and thresholds and evaluates their ability to address climate change and heat events. e study aims to identify the suitability of existing overheating calculation methods and propose recommendations for the EPBD. The study results provide a cross-sectional overview of twenty-six European countries. The most influential overheating calculation criteria are listed the best approaches are ranked. The paper provides a thorough comparative assessment and recommendations to align current calculations with climate-sensitive metrics. The results suggest a framework and key performance indicators that are comfort-based, multi-zonal, and time-integrated to calculate overheating and modify the EU's next building energy efficiency regulations. The results can help policymakers and building professionals to develop the next overheating calculation framework and approach for the future development of climate-proof and resilient residential buildings. [ABSTRACT FROM AUTHOR]

The climate impacts of deep enhanced geothermal systems (EGS) have been understudied in the academic literature. Using life-cycle analysis (LCA) conducted in accordance with ISO 14040 and ISO 14044 standards, this paper explores the climate change impacts of two deep EGS. The first study was in Reykjanes, Iceland, where a single well, IDDP-2/DEEPEGS, was drilled to a depth of 4.6 km for the purposes of additional electricity production from an existing power plant. The second study involved two wells with side-tracks (depth > 5000 m), drilled to serve a new heat and power co-generation plant located on an old oil field site in Vendenheim, France. Climate change impacts for the sites were estimated in the range 1.6–17.4 gCO2e/kWh and 6.9–13.9 gCO2e/kWh for Reykjanes and Vendenheim, respectively. Although the EGS projects are very different, both outcomes are low when compared to non-renewable alternatives and akin to best-in-class renewable alternatives. The main impact at the Reykjanes demonstration site were the greenhouse gas emissions released from the borehole, an effect that could be avoided by carbon capture and storage/mineralisation/utilisation. In the case of Vendenheim, further reductions in emissions could be achieved via more extensive adoption of circular economy principles in design and procurement. • First two life-cycle assessments of deep enhanced geothermal systems (EGS). • Climate change impacts for Reykjanes estimated in the range 1.6–17.4 gCO2e/kWh. • Climate change impacts for Vendenheim estimated in the range 6.9–13.9 gCO2e/kWh. • Emissions reductions at Reykjanes achievable through carbon capture and storage. • Circular economy design/procurement principles could reduce emissions at Vendenheim. [ABSTRACT FROM AUTHOR]

• We investigate the environmental benefits of ridesharing and rebound effects. • We use an integrated transport land-use model calibrated to the Paris region. • By reducing the cost of car and congestion, ridesharing yields rebound effects.... • ...that mitigate by about 2/3 initial decreases in CO 2 emissions, mostly due to modal shift. • Road pricing and reducing road capacity can efficiently reduce the rebound effect. This paper investigates how and to what extent changes in user behavior may mitigate the environmental benefits of urban ridesharing, a phenomenon commonly referred to as "rebound effect". Ridesharing reduces both the individual cost of car travel (through cost splitting) and road travel times (by decreasing congestion). This may trigger a number of behavioral changes among transportation users, including: making less detours to avoid congestion (route choice effect), switching from public transit and active modes to the car (modal shift effect), travelling longer distances (distance effect), and relocating further from the urban center (relocation effect). Taking Paris region as a case study, this research applies an integrated transportation/land-use model to evaluate several ridesharing scenarios and quantify the four rebound effects. The overall rebound effect is found to be substantial, cancelling out from 68 to 77% of CO 2 emission reductions and from 52 to 73% of aggregated social benefits (including congestion, air quality, CO 2 emissions, noise) expected from ridesharing. This is primarily the result of the modal shift effect, supplemented as ridesharing develops by the distance effect. Although the simplified representation of ridesharing in the baseline model calls for caution regarding these estimates, a sensitivity analysis corroborates the main findings and the prevalence of substantial rebound effects. The paper also investigates to what extent three complementary policies - improving public transit, reducing road capacity or increasing the cost of car travel – might limit the overall rebound effect and thereby maximize the benefits of urban ridesharing. [ABSTRACT FROM AUTHOR]

Groundwater represents the most important freshwater resource. In this paper, we applied a spatial approach based on the Geographical Information Systems (GIS) technology to assess the groundwater vulnerability in the Grand Est region from northeastern France. Aquifers media (AM), potential infiltration map (PIM), pollution load index (PLI), and effective precipitation (EP) were the main parameters used in the calculation of groundwater vulnerability. This study proposes a spatial-temporal analysis including past (1961–1990), near future (2011–2040), and more distant future (2041–2070), thereafter called the 1990s, the 2020s, and the 2050s. To validate the results, groundwater monitoring stations data of Nitrate (NO 3 −), dated from 2005 to 2012, was used as reference datasets. The validation of the groundwater vulnerability map was based on pixel pair comparison (PPC) method and it indicates 42.85% perfect confidence and 50% good confidence for the groundwater vulnerability map in 2020s period. The high groundwater vulnerability was found in the Rhine, Marne, and Aube Valleys, while the low and very low vulnerability was depicted in the Vosges, Ardennes Mountains, and some territories form the central region for all three periods. Application of the proposed framework indicates increases of vulnerability up to 60% between 1990s and 2020s and up to 80% between 1990s and 2050s scenarios. The output maps and findings could be useful for the future environmental plans of the region and, in addition, could help mitigate the problems related to water resources, considering the climate expectations. [ABSTRACT FROM AUTHOR]

Organizational sustainability is a multi-facet paradigm widely used to address perennial business challenges such as climate change, industrial waste, the economies of scale and social well-being, etc. In the last three decades, extensive research has been performed on ecological or economic sustainability, ignoring the third pillar of sustainability. Given the importance of humans and society-a center-stage of inclusive development-this paper aims to conduct a bibliometric analysis to examine the growth of organizational social sustainability (OSS) from 2000 to 2021 during MDG & SDG periods. A total of 1566 publications are analyzed using Scopus and the Web of Science (WoS) database. Citation networks, bibliographic coupling, and thematic mapping have explored influential work, intellectual structure, and research gaps. The study findings demonstrated that most publications are during the SDG period, with Sustainability as the most productive journal and the USA as the most contributing country. The top 10 active institutions are from Australia, France, and Spain. The top contributing authors are from France, but the USA is at the top in citations. Contributions are lacking from large portions of Africa. Keyword analysis showed that "social sustainability," "sustainable development," "environmental sustainability," "sustainable supply change management," "circular economy," and "social life cycle assessment" are the main topics. Keyword analysis and thematic mapping show that despite increased publications in the field of organizational social sustainability, OSS research is still far from focusing on the stakeholders' benefits, satisfaction, and subjective well-being. Moreover, quantitative assessment of OSS based on sustainability standards such as Global Reporting Initiatives (GRI) and Value Reporting Foundation (VRF) standards was found scant in the given field. The present research concluded with scope and opportunity for future research in the area of OSS. • Bibliometric analysis to examine organizational social sustainability during MDG & SDG periods. • Scopus & WoS data used in R Studio & Vosviewer. • Citation networks, bibliographic coupling, and thematic mapping have explored influential work, intellectual structure. • Global Reporting Initiatives and Value Reporting Foundation standards was found scant in the given field. [ABSTRACT FROM AUTHOR]

Abstract This paper explores the relationship between past climate and prehistoric Mediterranean agriculture by adapting a process-based dynamic vegetation model to estimate potential agricultural productivity under climate scenarios that characterize the extremes of Mediterranean climate in the Holocene. We adapt LPJmL (the Lund-Potsdam-Jena-managed-land model [Bondeau et al., 2007]), a process-based dynamic vegetation model, to the modeling of potential agricultural productivity in the past. Calibrating this model for past crops and agricultural practices and using a downscaling approach to produce high spatiotemporal resolution paleoclimate data, we produce quantitative estimates of potential yields under past climatic conditions derived from four Holocene climatic extremes (warm/wet, warm/dry, cold/wet, and cold/dry) under two different assumptions (approximate high and low limits) about the intensity of agricultural practice. We here discuss this process with reference to a case study in Provence, examining the methodology and data requirements for modeling past agriculture using LPJmL and considering the implications of the range of variability in potential agricultural productivity under distinct climate conditions. We focus particularly on comparing the range of variability induced by climatic shifts with that achievable through changes in agricultural practices as a means of approaching questions of past vulnerability and resilience. [ABSTRACT FROM AUTHOR]

Interaction between mitigation and adaptation is a key question for the design of climate policies. In this paper, we study how land use adaptation to climate change impacts land use competition in the agriculture, forest and other land use (AFOLU) sector and how a mitigation policy in agriculture might affect this competition. We use for this purpose two sector-specific bio-economic models of agriculture and forest combined with an econometric land use shares model to simulate the impacts of two climate change scenarios (A2 and B1, 2100 horizon), and a greenhouse gas emissions from agriculture policy consisting of a tax of between 0 and 200 €/tCO 2 equivalent. Our results show that both climate change scenarios lead to an increase in the area devoted to agriculture at the expense of forest which could have a negative impact on reducing greenhouse gas emissions responsible for climate change. The mitigation policy would curtail agricultural expansion, and thus could counteract the effects of land use adaptation to climate change. In other words, accounting for land use competition results in a reduction of the abatement costs of the mitigation policy in the agricultural sector. [ABSTRACT FROM AUTHOR]

While the importance of Nature-Based Solutions for climate change adaptation (NBaS) is being increasingly acknowledged, very few studies investigate the status of these solutions in higher education syllabi. In an effort to bridge this gap, this study assessed the position of the NBaS notion in French Master's programs. Based on a survey questionnaire, several interviews and a text mining analysis of the Master's contents, this paper identified, localised and analysed the French Masters that presented links with NBaS related concepts. This analysis revealed that the notion of NBaS is far from being mastered. This might be caused by a conceptual misunderstanding of definitions. While text mining revealed that the building blocks of the NBaS framework are present, much still needs to be done for connecting them together. A combined analysis of the findings derived from this study led to recommendations to better introduce NBaS in Masters programs in the future. • The term of Nature-Based (adaptation) Solution is far for being well mastered. • Based on the existing definition, the concept should also be better explained. • Few courses are actually dedicated to climate change and how to adapt to it. • The complexity of the environments across scales has to be taken into account. • NBaS require a transition from silo approaches to multidisciplinary frameworks. [ABSTRACT FROM AUTHOR]

Faced with increasing urbanization and uncertainties linked to climate change, the scientific community has integrated the concept of resilience into urban management practices. Once revolutionary, now a buzzword, resilience is a concept that is difficult to transform into an integrated tool that stakeholders accept and adopt. This paper offers a perspective on the different interpretations of resilience, its difficult implementation and the tools that seek to operationalize it. The underlying questions are how these tools are appropriated by urban managers and territorial decision-makers, and how the theoretical concept can be translated into resilient urban development. This research paper reviews the work on resilience and investigates its use and operationalization, comparing two different approaches – organizational (Canada) and holistic (France) – that aim to clarify and operationalize resilience. These theoretical approaches have been combined to create workshops for urban managers so they can move from theoretical results to practical applications. [ABSTRACT FROM AUTHOR]

Coastal flooding is among the most significant disasters that threaten littoral populations in today's world. Climate change and global warming increase this risk and require implementing efficient strategies to anticipate the hazard and reduce human and material damage. This paper describes a generic platform called LittoSIM-GEN (a coupling of agent-based and hydrodynamic models), which aims to involve stakeholders in a participatory simulation of land use management to minimize the risks of coastal submersion. An application to the southwest coast of France (Rochefort) demonstrates the features of this platform. We propose several recommendations to improve the generic conception and implementation of models dedicated to participatory simulation. • We describe LittoSIM-GEN, a generic model and platform for conducting workshops on flooding risk management. • We present an application of LittoSIM-GEN to the case study of Rochefort on the southwest coast of France. • We discuss the genericity problem in participatory simulation models. [ABSTRACT FROM AUTHOR]

Abstract: Predictions of future land use areas are an important issue as land use patterns significantly impact environmental conditions (biodiversity, water pollution, soil erosion, and climate change) as well as economic and social welfare. In order to improve the prediction accuracy of aggregated land use share models, we propose in this paper a methodological contribution by controlling for both unobserved individual heterogeneity and spatial autocorrelation. Our model is a land use shares model applied to aggregated data in France. Our dataset is a panel which covers both time series observations from 1992 to 2003 and cross-sectional observations by Département (equivalent to NUTS3 regions). We consider four land use classes: (1) agriculture, (2) forest, (3) urban and (4) other use. We investigate the relation between the areas in land in different alternative uses and economic and demographic factors influencing land use decisions. Based on the comparison of prediction accuracy of different model specifications, our findings are threefold: First, controlling for both unobserved individual heterogeneity and spatial autocorrelation outperforms any other specification in which spatial autocorrelation and/or individual heterogeneity are ignored. Second, accounting for cross-equation correlations does not seem to improve the prediction performances and finally, ignoring individual heterogeneity introduces substantial loss in prediction accuracy. [Copyright &y& Elsevier]

• French people have limited knowledge about climate change but worry about it. • They prefer green investments or regulations to a tax and dividend. • Distributive effects and lack of alternatives prevent carbon tax acceptance. • Improving knowledge is predicted to increase ecological attitudes and concern. • Unlike in the US, partisanship does not interact with education to shape perceptions. This paper aims to assess the prospects for French climate policies after the Yellow Vests crisis halted the planned increase in the carbon tax. From a large representative survey, we elicit knowledge, perceptions and values over climate change, we examine opinions relative to carbon taxation, and we assess support for other climate policies. Specific attention is given to the link between perceptions of climate change and attitudes towards policies. The paper also studies in detail the determinants of attitudes in terms of political and socio-demographic variables. Among many results, we find limited knowledge but high concern for climate change. We also document a large rejection of the carbon tax but majority support for stricter norms and green investments, and reveal the rationales behind these preferences. Our study entails policy recommendations, such as an information campaign on climate change. Indeed, we find that climate awareness increases support for climate policies but no evidence for the formation of opinions through partisan cues as in the US, suggesting that better access to science could foster support for climate policies. [ABSTRACT FROM AUTHOR]

Abstract: New paleoclimatic data for the Lateglacial clarify climatic phases during the Lateglacial. Cold climate played a key role in limiting Magdalenian expansion from southwest and central Europe This paper presents chronological and geographic data for the different climatic phases to map the expansion of the Magdalenian into northwest Europe. Specifically, it can be seen that initial expansion follows a southwest-northeast trajectory into southern Germany, followed by northern expansion into Belgium, central Germany and the Paris Basin at the end of the Oldest Dryas. During the Bølling and Allerød phases, human occupation intensified in the Paris Basin and contacts and/or territorial exploitation between both the Paris Basin and the Rhineland region with Belgian territory is demonstrated. [Copyright &y& Elsevier]

Objectives: Climate change may be considered as a key factor for environmental change, exposure to health risks and pathogens, consequently impairing the state of health among populations. Efficient health surveillance systems are required to support adaptation to climate change. However, despite a growing awareness, the public health surveillance sector has had very little involvement in the drafting of adaptation plans. This paper proposes a method to raise awareness about climate change in the public health community, to identify possible health risks and to assess the needs for reinforced health surveillance systems. Methods: A working group was set up comprising surveillance experts in the following fields: environmental health; chronic diseases and; infectious diseases. Their goal was to define common objectives, to propose a framework for risk analysis, and to apply it to relevant health risks in France. Results: The framework created helped to organize available information on climate- sensitive health risks, making a distinction between three main determinants as follows: (1) environment; (2) individual and social behaviours; and (3) demography and health status. The process is illustrated using two examples: heatwaves and airborne allergens. Conclusion: Health surveillance systems can be used to trigger early warning systems, to create databases which improve scientific knowledge about the health impacts of climate change, to identify and prioritize needs for intervention and adaptation measures, and to evaluate these measures. Adaptation requires public health professionals to consider climate change as a concrete input parameter in their studies and to create partnerships with professionals from other disciplines. [ABSTRACT FROM AUTHOR]

Abstract: Freshwaters ecosystems continue to face pressures from pollution, flow regime alterations, habitat destruction and exotic species invasions despite their unique biodiversity. In Europe, National Parks and Special Areas of Conservation aim to provide protection of ‘aggregate’ biodiversity, yet inspection of priority species lists for these sites often reveals a focus towards terrestrial species. In regions such as the Alps and the Pyrénées, this is a particularly serious problem because climate change and other anthropogenic pressures (e.g. hydropower, tourism) are causing widespread hydrological modification which is likely to drive changes in aquatic species abundance, diversity and distribution. Improved understanding of the diversity of rare plants and animals is necessary so efforts can be cost-effectively targeted to conserve the maximum number of species, whilst a clearer picture of these species’ distributions is a precursor to targeting conservation efforts. This paper reports results of a study into the diversity and distribution of 17 endemic mayflies, stoneflies and caddisflies from 598 rivers sites across southern France. Endemic macroinvertebrates were found only at sites in the Pyrénées mountain range with richness peaking at 1500–1800m above sea level. Nine of these 17 species were recorded from <20 sites and two (Protonemura angelieri, Rhithrogena kimminsi) were found at only 10 sites. Despite both the rarity of these species and threats to their existence, none of them have any current conservation status. New conservation policies for freshwater ecosystems in the French Pyrénées need to be developed as a priority due to the rarity of many aquatic species in this area, growing threats to their existence (habitat modification, hydrological change), and to recognise their importance in food webs that may include other rare species of conservation value. [Copyright &y& Elsevier]

This paper analyzes French winemakers' decision-making process to adapt to climate change, and how the institutional and relational context of an innovation system, including a clean technological regime, affect these decisions. Our study used a mixed method research based on original face-to-face interviews with 92 winemakers in three French regional wine clusters that have been affected by climate change: Bordeaux, Champagne and Languedoc. We perform a logistic model to tests how managers' personal backgrounds, wine-producing company characteristics, and innovation system components, including cleaner technological regime, might explain the adaptation decision-making process. Our results show that economic variables have little influence on climate change adaptation decision-making. On the contrary, variables expressing the relationship built by wine producing companies within the Innovation System, their involvement in organic wine production, and the manager's personal background affect the decision-making process to adapt to climate change. Furthermore, many of the adaptation strategies rely on adopting cleaner production approach. Our findings show that the decision-making process depends on networks and clean technological regimes embedded in an innovation system, with regional and sector dimensions. • Awareness and adaptation strategies of winemaking companies differ according to regional vineyards, due to the spatial variability of climate change impacts • Decision-making process depends on networks and technological regimes embedded in an innovation system, with regional and sector dimensions • There are few links between adaptation and economic characteristics of winemaking companies [ABSTRACT FROM AUTHOR]

Summary: Climate change will probably increase the frequency and intensity of low river flows, affecting both water quantity and water quality. Although climate change impacts on water quantity are widely recognised, the impacts on water quality are less known. The aim of this paper is to assess the effects of droughts on the water quality of the river Meuse in western Europe, based on analysis of existing water quality data. Time series of water quality were investigated at two monitoring stations during two severe drought periods, occurring in the years 1976 and 2003. Water quality during these droughts was investigated and compared to water quality during reference periods, representing common hydrological conditions and similar chemical pollution. A total amount of 24 water quality parameters were involved in the analysis, which can be divided into four groups: (1) general water quality variables (water temperature, chlorophyll-a, pH, dissolved oxygen and suspended solids), (2) nutrients, (3) major elements (e.g. chloride, fluoride) and (4) heavy metals and metalloids. To assess the effects of changes in discharge and water temperature on the concentration of chemical substances, empirical relations have been established between concentration and discharge, and between concentration and water temperature. The results indicate a general deterioration of the water quality of the Meuse river during droughts, with respect to water temperature, eutrophication, major elements, and some heavy metals and metalloids. This decline in water quality is primarily caused by favourable conditions for the development of algae blooms (high water temperatures, long residence times, high nutrient concentrations) and a reduction of the dilution capacity of point source effluents. [Copyright &y& Elsevier]

• ERA5 reanalysis and multi-ensemble EURO-CORDEX models are used for simulating onshore and offshore wind power output. • All wind speed models show significant bias that imposes a method for bias-correction. • Wind turbine improvements are evaluated. • Wind power intermittency and spatial-decorrelation effects are analyzed and quantified. • Climate change has little impact on the wind power output and even the sign of the change varies among climate models. Wind power is developing rapidly because of its potential to provide renewable electricity and the large reduction in installation costs during the past decade. However, the high temporal variability of the wind power source is an obstacle to a high penetration in the electricity mix as it makes difficult to balance electricity supply and demand. There is therefore a need to quantify the variability of wind power and also to analyze how this variability decreases through spatial aggregation. In the context of climate change, it is also necessary to analyze how the wind power potential and its variability may change in the future. One difficulty for such objective is the large biases in the modeled winds, and the difficulty to derive a reliable power curve. In this paper, we propose an Empirical Parametric Power Curve Function (EPPCF) model to calibrate a power curve function for a realistic estimate of wind power from weather and climate model data at the regional or national scale. We use this model to analyze the wind power potential, with France as an example, considering the future wind turbine evolution, both onshore and offshore, with a focus on the production intermittency and the impact of spatial de-correlations. We also analyze the impact of climate change. We show that the biases in the modeled wind vary from region to region, and must be corrected for a valid evaluation of the wind power potential. For onshore wind, we quantify the potential increase of the load factor linked to the wind turbine evolution (from a current 23% to 30% under optimistic hypothesis). For offshore, our estimate of the load factor is smaller for the French coast than is currently observed for installed wind farms that are further north (around 35% versus 39%). However, the estimates vary significantly with the atmospheric model used, with a large spatial gradient with the distance from the coast. The improvement potential appears smaller than over land. The temporal variability of wind power is large, with variations of 100% of the average within 3–10 h at the regional scale and 14 h at the national scale. A better spatial distribution of the wind farms could further reduce the temporal variability by around 20% at the national scale, although it would remain high with respect to that of the demand. The impact of climate change on the wind power resource is insignificant (from +2.7% to −8.4% for national annual mean load factor) and even its direction varies among models. [ABSTRACT FROM AUTHOR]

Among the multiple adaptations that exist to face climate change, irrigation is one straightforward option for wine growing. Yet, widespread development of irrigation may strengthen water scarcity and further increase farmers' vulnerability to water stress. In this context, understanding the conditions of the adoption of irrigation is of outmost importance to characterize the process, the risks and the policy implications of climate change adaptation. This paper presents an empirical approach for understanding the factors driving current and envisioned irrigation at farm level, by combining Internet-survey data and terroir data (precipitation, temperature, and soil water holding capacity) characterizing wine growers and farms in southeastern France (Languedoc-Roussillon). Survey data include current and future practices, the perceptions of past changes, and wine growers' main objectives. The sample gathers 28% of growers that are already irrigating their vines, 39% that are considering this option for the future. Results of different econometric models show that both terroir and socio-economic factors such as perceptions and objectives play significant roles in the adoption of irrigation. Specifically, perceptions of water scarcity seem to drive future irrigation projects much more than real water scarcity. These results carry important policy implications for water-demand forecasting and water-supply planning. • Irrigation, a major adaptation to climate change holds implication for land and water use. • Survey data on past and future irrigation adoption in south-east France is explored. • Econometric logit models enable to investigate the determinants of adoption. • The role of terroir , growers' goals and perceptions are significant. • Determinants of past irrigation differ from future irrigation. [ABSTRACT FROM AUTHOR]

• Residential peninsular microgrid participation in bid-based power injection contract through an aggregator. • Enhanced weather forecast method based on recursive least-squares has been adopted. • Uncertain behavior of solar irradiation using Markov chains is modeled. In the context of smart cities, the growing share of solar power induces uncertainty in power generation due to inherent climatic variations. Accurate forecasting will be a key point for future residential microgrids since inability to do so could dramatically impact power balance and grid stability. This paper proposes an enhanced energy management framework which aims to efficiently address uncertainty issues due to local climatic variations in a peninsula context. The proposed framework uses a ten-state Markov chain to generate stochastic solar irradiation as well as a forecast correction method based on recursive least-squares updated every hours in order to efficiently take part in hour-ahead power bidding process. Numerical results highlight benefits obtained by combining proposed forecast correction method and storage in a practical example of Saint-Nazaire, a city located in peninsula of Guérande, France. Besides, a sensitivity analysis regarding impact of storage size and aggregator penalty on operation cost and commitment indices is investigated. Obtained results demonstrates better accuracy in delivering power to the grid and will lead residential microgrids dealing with strong climatic variations to decrease their operation cost and increase power balance for all grid stakeholders. [ABSTRACT FROM AUTHOR]

• The 35-years hydrochemical survey indicated an obvious decrease of nitrate. • Over 15 years, Ca, HCO 3 and strong acid anions decreased while DOC and K increased. • Agricultural practices, temperature and discharge were key controlling factors. • Continuous probe surveys clearly indicated diel cycles of hydrochemical parameters. • The various time scale surveys evidenced a set of hydro-biogeochemical processes. The hydrochemical time series of stream water from a cultivated catchment were investigated at different time scales and survey frequencies. A 35-year time series of nitrate concentration and discharge, a 15-year time series of major elements and dissolved organic carbon (DOC) concentrations were analysed from a yearly to a daily/hourly basis during discharge recession after storm event periods, to determine the origin of elements, the time trends and the main controlling factors of the trends. A significant decrease over time of nitrate, base cations and other major anions was observed. These trends were controlled by agricultural practice changes (decrease of N -fertiliser input, grass-band set up) and discharge increase, especially in the last years of the period. On the other hand, K and DOC increased over the 15-year period. This increase might result from both 1) organic matter eroded from the soil surface by runoff during flood events and 2) an increase in mineralisation with increasing temperature. Seasonal variations and nycthemeral cycles indicated either calcite precipitation and nitrification processes and/or evapotranspiration, water and/or vegetation uptake during the day with increasing temperature. This paper highlights that the hydrochemical parameters measured at various time scales and frequencies can be used as powerful indicators of catchment internal processes, and of changes in agricultural management and climate change. Particularly, the multivariate high-resolution survey has shown its ability to evidence very tenuous processes not detectable by discrete sampling. The recent observed changes in hydrology argue for the need to continue the hydrochemical survey over decades. [ABSTRACT FROM AUTHOR]