77 research outputs found

    An innovative interactive mapping tool to present research results: example of a terroir study in the context of climate change

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    Over the past decade, Story Map applications have been developed throughout the world under the impetus of software developers in the fields of visualization (Google Earth, Neatline, TripLine) and geographic information systems (ESRI, Knight Lab). These Story Map web applications allow information to be presented, shared and distributed in the form of interactive maps combined with images, text and audiovisual content. Using these tools to transfer the results of research projects is an innovative approach that can be highly effective, with their ease of access and user-friendly interface encouraging users to explore the data. Such a tool has been used to supplement scientific papers reporting the results of a research project on terroir and climate change in the Bordeaux region. The link to access it is https://www.adviclim.eu/storymap

    Grapevine Yield Big-data for Soil and Climate Zoning. A case study in Languedoc-Roussillon, France

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    New winegrower and resource datasets appear to be a great opportunity to understand which are the environmental factors involved in grapevine yield spatially. Such analysis can help regional label managers and winegrowers for the conception of local adaptation strategies to climate change, reducing yield gaps. In the present study, we aggregated yield a big dataset obtained from Pays d’Oc winegrowers (n = 96677) between 2010 and 2018 at the municipality level (n = 606), located in the Languedoc-Roussillon region, in the South of France. We used a backward stepwise model selection process using linear mixed-effect models to discriminate and select significant indicators capable of estimating grapevine yield at the municipality level, these include: Soil Available Water Capacity (SAWC), soil pH, Huglin Index, the Climate Dryness Index, the number of Very Hot Days and Days of Frost. We then determined spatial zones by creating clusters of municipalities with similar soil and climate characteristics. The seven zones presented two marked yield levels. Yet, all zones had municipalities with both high yield and high yield gaps. On each zone, grapevine yield was found to be driven by a combination of climate and soil factors, rather than just by a single environmental factor. Environmental factors at this scale largely explained yield variability across the municipalities, but they were not performant in terms of annual yield prediction. Further research is required on the interactions between environmental factors, plant material and farming practices

    Projected impacts of climate change on viticulture over French wine regions using downscaled CMIP6 multi-model data

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    Climate change is a major challenge for the French wine industry. Climatic conditions in French vineyards have already changed and will continue to evolve impacting viticulture. This study aims to analyse the evolution of agro- and eco-climatic indices based on phenology simulation of French wine-growing regions. This evolution was analysed on a recent-past period (1962–1991 to 1992–2021) using SAFRAN climate data and on a future projected period (1985–2014 to 2041–2070) with two SSP trajectories (SSP2-4.5 and SSP5-8.5). A set of 19 CMIP6 climate models downscaled at 8 km grid resolution over France coupled with three phenological and a water balance model were used. Phenological model parameters and training system characteristics were adapted to each region to match as much as possible current practices. Temperatures during the growing season have increased by +1 °C to +2.1 °C since the second half of the 20th century and could rise to +3.7 °C in regions around the Mediterranean by 2070. The inter-model variance concerning the precipitation is high, a significant change (decrease) in precipitation during the grapevine growing season is observed only for the regions of western France (Oceanic climate) over the period 2040–2071 with the SSP5 trajectory. All simulated phenological stages have shifted toward earlier dates. Their occurrence should be even earlier by 2070 with an average advance of up to 22 days for the mid-veraison of Pinot noir in eastern France. The theoretical maturity date (sugar content) should also be advanced from 19 to 30 days depending on the considered region and SSP. Thermal conditions closer to the photosynthetic optimum should promote onset by the early second half of the 21st century. The increase in both the number of hot days and grapevine water deficit during the period of fruit development should impact grape production in quality and quantity in all wine-growing regions. Spring frost projections show no significant change in risk for the second half of the 21st century, compared to current conditions

    Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

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    Abstract Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

    Climate modeling at vineyard scale in a climate change context

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    À l’échelle d’un terroir viticole, le climat prĂ©sente des variations significatives et joue un rĂŽle important sur les caractĂ©ristiques des vins produits. L’adaptation de la filiĂšre viticole au changement climatique en cours nĂ©cessite la connaissance de l’évolution du climat Ă  l’échelle locale. Cette Ă©tude vise Ă  intĂ©grer cette Ă©chelle dans les projections climatiques en se basant sur l’utilisation combinĂ©e de modĂšles dynamiques et gĂ©ostatistiques. Dans un premier temps, l’utilisation d’un modĂšle climatique rĂ©gional Ă  haute rĂ©solution (1 km) dans les vignobles de Marlborough (Nouvelle-ZĂ©lande) a permis de cartographier les tempĂ©ratures d’une rĂ©gion viticole. Les limites et les incertitudes de l’utilisation de ce type de modĂšle, notamment pour la reprĂ©sentation des variations thermiques les plus locales, ont Ă©galement Ă©tĂ© Ă©tudiĂ©es. Par l’utilisation des donnĂ©es issues d’un rĂ©seau dense de capteurs de tempĂ©rature, une seconde Ă©tape a consistĂ© au dĂ©veloppement d’un modĂšle statistique non linĂ©aire permettant une cartographie fine des tempĂ©ratures sur les appellations Saint-Émilion, Pomerol et leurs satellites. Enfin une mĂ©thode d’intĂ©gration de l’échelle locale dans les projections de changement climatique est proposĂ©e, associant modĂšles dynamiques et modĂšles gĂ©ostatistiques. Cette thĂšse a mis en Ă©vidence que l’utilisation simultanĂ©e de diffĂ©rentes mĂ©thodes de modĂ©lisation des tempĂ©ratures peut reprĂ©senter une piste intĂ©ressante pour pallier aux manques qu’elles peuvent reprĂ©senter individuellement et limiter ainsi l’incertitude.At vineyard scale, climate variability can be significant in magnitude and play a key role in vine and wine characteristics. Adaptation of viticulture to climate change requires knowledge about future fine-scale climate evolution. This study aims to integrate local scale in future climate projections, coupling dynamic and statistical modelling. A first step consisted in producing temperature maps at 1 km resolution using WRF in a vineyard area (Marlborough, New-Zealand) and evaluating model uncertainties. It revealed that dynamical models do not represent well local climate variations. Using a high density temperature data logger network, the second part is dedicated to developing a non-linear statistical model to map temperature at very fine scale in famous sub-appellations of the Bordeaux vineyard area (Saint-Émilion). Following, a method, coupling dynamical and statistical modelling, is proposed to integrate local scale in climate change projections. This thesis highlights that using simultaneously statistical and dynamical models can be an approach to reduce model uncertainties

    ModĂ©lisation climatique Ă  l’échelle des terroirs viticoles dans un contexte de changement climatique

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    At vineyard scale, climate variability can be significant in magnitude and play a key role in vine and wine characteristics. Adaptation of viticulture to climate change requires knowledge about future fine-scale climate evolution. This study aims to integrate local scale in future climate projections, coupling dynamic and statistical modelling. A first step consisted in producing temperature maps at 1 km resolution using WRF in a vineyard area (Marlborough, New-Zealand) and evaluating model uncertainties. It revealed that dynamical models do not represent well local climate variations. Using a high density temperature data logger network, the second part is dedicated to developing a non-linear statistical model to map temperature at very fine scale in famous sub-appellations of the Bordeaux vineyard area (Saint-Émilion). Following, a method, coupling dynamical and statistical modelling, is proposed to integrate local scale in climate change projections. This thesis highlights that using simultaneously statistical and dynamical models can be an approach to reduce model uncertainties.À l’échelle d’un terroir viticole, le climat prĂ©sente des variations significatives et joue un rĂŽle important sur les caractĂ©ristiques des vins produits. L’adaptation de la filiĂšre viticole au changement climatique en cours nĂ©cessite la connaissance de l’évolution du climat Ă  l’échelle locale. Cette Ă©tude vise Ă  intĂ©grer cette Ă©chelle dans les projections climatiques en se basant sur l’utilisation combinĂ©e de modĂšles dynamiques et gĂ©ostatistiques. Dans un premier temps, l’utilisation d’un modĂšle climatique rĂ©gional Ă  haute rĂ©solution (1 km) dans les vignobles de Marlborough (Nouvelle-ZĂ©lande) a permis de cartographier les tempĂ©ratures d’une rĂ©gion viticole. Les limites et les incertitudes de l’utilisation de ce type de modĂšle, notamment pour la reprĂ©sentation des variations thermiques les plus locales, ont Ă©galement Ă©tĂ© Ă©tudiĂ©es. Par l’utilisation des donnĂ©es issues d’un rĂ©seau dense de capteurs de tempĂ©rature, une seconde Ă©tape a consistĂ© au dĂ©veloppement d’un modĂšle statistique non linĂ©aire permettant une cartographie fine des tempĂ©ratures sur les appellations Saint-Émilion, Pomerol et leurs satellites. Enfin une mĂ©thode d’intĂ©gration de l’échelle locale dans les projections de changement climatique est proposĂ©e, associant modĂšles dynamiques et modĂšles gĂ©ostatistiques. Cette thĂšse a mis en Ă©vidence que l’utilisation simultanĂ©e de diffĂ©rentes mĂ©thodes de modĂ©lisation des tempĂ©ratures peut reprĂ©senter une piste intĂ©ressante pour pallier aux manques qu’elles peuvent reprĂ©senter individuellement et limiter ainsi l’incertitude
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