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  • SDSN - Greece
  • 2017-2021
  • Publications
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Anne Sicard; Maria Saponari; Mathieu Vanhove; Andreina I. Castillo; +6 Authors

    The invasive plant pathogen Xylella fastidiosa currently threatens European flora through the loss of economically and culturally important host plants. This emerging vector-borne bacterium, native to the Americas, causes several important diseases in a wide range of plants including crops, ornamentals, and trees. Previously absent from Europe, and considered a quarantine pathogen, X. fastidiosa was first detected in Apulia, Italy in 2013 associated with a devastating disease of olive trees (Olive Quick Decline Syndrome, OQDS). OQDS has led to significant economic, environmental, cultural, as well as political crises. Although the biology of X. fastidiosa diseases have been studied for over a century, there is still no information on the determinants of specificity between bacterial genotypes and host plant species, which is particularly relevant today as X. fastidiosa is expanding in the naive European landscape. We analysed the genomes of 79 X . fastidiosa samples from diseased olive trees across the affected area in Italy as well as genomes of the most genetically closely related strains from Central America. We provided insights into the ecological and evolutionary emergence of this pathogen in Italy. We first showed that the outbreak in Apulia is due to a single introduction from Central America that we estimated to have occurred in 2008 [95 % HPD: 1930–2016]. By using a combination of population genomic approaches and evolutionary genomics methods, we further identified a short list of genes that could play a major role in the adaptation of X. fastidiosa to this new environment. We finally provided experimental evidence for the adaptation of the strain to this new environment.

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    Microbial Genomics
    Article . 2021 . Peer-reviewed
    License: CC BY NC
    Data sources: Crossref
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    CNR ExploRA
    Article . 2021
    Data sources: CNR ExploRA
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    Authors: E. Sebok; H. J. Henriksen; E. Pastén-Zapata; E. Pastén-Zapata; +26 Authors

    Various methods are available for assessing uncertainties in climate impact studies. Among such methods, model weighting by expert elicitation is a practical way to provide a weighted ensemble of models for specific real-world impacts. The aim is to decrease the influence of improbable models in the results and easing the decisionmaking process. In this study both climate and hydrological models are analysed, and the result of a research experiment is presented using model weighting with the participation of six climate model experts and six hydrological model experts. For the experiment, seven climate models are a priori selected from a larger EURO-CORDEX (Coordinated Regional Downscaling Experiment – European Domain) ensemble of climate models, and three different hydrological models are chosen for each of the three European river basins. The model weighting is based on qualitative evaluation by the experts for each of the selected models based on a training material that describes the overall model structure and literature about climate models and the performance of hydrological models for the present period. The expert elicitation process follows a three-stage approach, with two individual rounds of elicitation of probabilities and a final group consensus, where the experts are separated into two different community groups: a climate and a hydrological modeller group. The dialogue reveals that under the conditions of the study, most climate modellers prefer the equal weighting of ensemble members, whereas hydrological-impact modellers in general are more open for assigning weights to different models in a multi-model ensemble, based on model performance and model structure. Climate experts are more open to exclude models, if obviously flawed, than to put weights on selected models in a relatively small ensemble. The study shows that expert elicitation can be an efficient way to assign weights to different hydrological models and thereby reduce the uncertainty in climate impact. However, for the climate model ensemble, comprising seven models, the elicitation in the format of this study could only re-establish a uniform weight between climate models. European Commission European Commission Joint Research Centre 690462

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    https://hess.copernicus.org/pr...
    Preprint
    License: CC BY
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    Hydrology and Earth System Sciences (HESS)
    Article . 2022 . Peer-reviewed
    License: CC BY
    Data sources: Crossref
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    https://doi.org/10.5194/hess-2...
    Preprint . 2021 . Peer-reviewed
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    DOAJ
    Article . 2022
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Archivio istituziona...arrow_drop_down
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      Hydrology and Earth System Sciences (HESS)
      Article . 2022 . Peer-reviewed
      License: CC BY
      Data sources: Crossref
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      https://doi.org/10.5194/hess-2...
      Preprint . 2021 . Peer-reviewed
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      Article . 2022
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    Authors: M. Belgacem; M. Belgacem; K. Schroeder; A. Barth; +6 Authors

    The Western MEDiterranean Sea BioGeochemical Climatology (BGC-WMED, https://doi.org/10.1594/PANGAEA.930447) (Belgacem et al., 2021) presented here is a product derived from quality-controlled in situ observations. Annual mean gridded nutrient fields for the period 1981–2017 and its sub-periods 1981–2004 and 2005–2017 on a horizontal 1/4∘ × 1/4∘ grid have been produced. The biogeochemical climatology is built on 19 depth levels and for the dissolved inorganic nutrients nitrate, phosphate and orthosilicate. To generate smooth and homogeneous interpolated fields, the method of the variational inverse model (VIM) was applied. A sensitivity analysis was carried out to assess the comparability of the data product with the observational data. The BGC-WMED was then compared to other available data products, i.e., the MedBFM biogeochemical reanalysis of the Mediterranean Sea and the World Ocean Atlas 2018 (WOA18) (its biogeochemical part). The new product reproduces common features with more detailed patterns and agrees with previous records. This suggests a good reference for the region and for the scientific community for the understanding of inorganic nutrient variability in the western Mediterranean Sea, in space and in time, but our new climatology can also be used to validate numerical simulations, making it a reference data product.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Earth System Science...arrow_drop_down
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    Earth System Science Data (ESSD)
    Article . 2021 . Peer-reviewed
    License: CC BY
    Data sources: Crossref
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    Earth System Science Data (ESSD)
    Other literature type . 2021
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    DOAJ
    Article . 2021
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      Earth System Science Data (ESSD)
      Article . 2021 . Peer-reviewed
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      Earth System Science Data (ESSD)
      Other literature type . 2021
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    Authors: Xanthippi P. Louka; Aimilia D. Sklirou; Géraldine Le Goff; Philippe Lopes; +5 Authors

    Cells have developed a highly integrated system responsible for proteome stability, namely the proteostasis network (PN). As loss of proteostasis is a hallmark of aging and age-related diseases, the activation of PN modules can likely extend healthspan. Here, we present data on the bioactivity of an extract (SA223-S2BM) purified from the strain Salinispora arenicola TM223-S2 that was isolated from the soft coral Scleronephthya lewinsohni; this coral was collected at a depth of 65 m from the mesophotic Red Sea ecosystem EAPC (south Eilat, Israel). Treatment of human cells with SA223-S2BM activated proteostatic modules, decreased oxidative load, and conferred protection against oxidative and genotoxic stress. Furthermore, SA223-S2BM enhanced proteasome and lysosomal-cathepsins activities in Drosophila flies and exhibited skin protective effects as evidenced by effective inhibition of the skin aging-related enzymes, elastase and tyrosinase. We suggest that the SA223-S2BM extract constitutes a likely promising source for prioritizing molecules with anti-aging properties.

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    Current Issues in Molecular Biology
    Other literature type . Article . 2021 . Peer-reviewed
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    Current Issues in Molecular Biology
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      Current Issues in Molecular Biology
      Other literature type . Article . 2021 . Peer-reviewed
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      Current Issues in Molecular Biology
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    Authors: Valentina Sessa; Edi Assoumou; Mireille Bossy; Sofia G. Simões;

    ABSTRACT: Analyzing the impact of climate variables into the operational planning processes is essential for the robust implementation of a sustainable power system. This paper deals with the modeling of the run-of-river hydropower production based on climate variables on the European scale. A better understanding of future run-of-river generation patterns has important implications for power systems with increasing shares of solar and wind power. Run-of-river plants are less intermittent than solar or wind but also less dispatchable than dams with storage capacity. However, translating time series of climate data (precipitation and air temperature) into time series of run-of-river-based hydropower generation is not an easy task as it is necessary to capture the complex relationship between the availability of water and the generation of electricity. This task is also more complex when performed for a large interconnected area. In this work, a model is built for several European countries by using machine learning techniques. In particular, we compare the accuracy of models based on the Random Forest algorithm and show that a more accurate model is obtained when a finer spatial resolution of climate data is introduced. We then discuss the practical applicability of a machine learning model for the medium term forecasts and show that some very context specific but influential events are hard to capture. info:eu-repo/semantics/publishedVersion

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    Authors: Laurent, Catherine; Nguyen, Geneviève; Triboulet, Pierre; Ansaloni, Matthieu; +2 Authors

    To cite this article: Catherine Laurent, Geneviève Nguyen, Pierre Triboulet, Matthieu Ansaloni, Noemie Bechtet & Pierre Labarthe (2021): Institutional continuity and hidden changes in farm advisory services provision: evidence from farmers’ microAKIS observations in France, The Journal of Agricultural Education and Extension, DOI: 10.1080/1389224X.2021.2008996 ABSTRACT Purpose: The paper aims at better understanding the microfoundations of current institutional changes in agricultural knowledge and innovation systems (AKIS). Design: A survey of 98 farmers and interviews with 37 advice providers in south-western France were conducted to analyse the ways in which farmers combine different sources of advice (microAKIS). The farmers’ practices were observed for general farm management and for 3 types of innovation (new crop diversification, digital decision support tools, and labour outsourcing). Findings: The results highlight poorly-known characteristics of microAKIS regarding the variety of sources of advice used by farmers, and the limited number of reliable resources on which farmers can draw at key stages of the innovation process. They provide evidence of bottom-up mechanisms of institutional changes such as the routinization of the use of certain service providers that are often overlooked in AKIS analyses (e.g. upstream industries). Practical implications: These results can contribute to reducing the misalignments of stakeholders’ representations of AKIS and microAKIS, and therefore facilitate public debates and improve the efficiency of interventions in this area. Theoretical implications: Studies of institutional changes resulting from the evolution of microAKIS are expected to complement analyses of increased pluralism of advice providers. Originality: Linking the observation of microAKIS and the analysis of incremental institutional changes in AKIS allows the identification of transformations of the AKIS rationale that would otherwise remain partially invisible.

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    Authors: Alexander Bisaro; Jochen Hinkel; Jochen Hinkel; Gonéri Le Cozannet; +2 Authors

    International audience; Climate services are ideally co-developed by scientists and stakeholders working together to identify decisions and user needs. Yet, while climate services have been developed at regional to local scales, relatively little attention has been paid to the global scale. Global climate services involve decisions that rely on climate information from many locations in different world regions, and are increasingly salient. Increasing interconnections in the global financial system and supply chains expose private companies and financial institutions to climate risk in multiple locations in different world regions. Further, multilateral decisions on greenhouse gas emission reduction targets, disaster risk finance or international migration should make use of global scale climate risk assessments. In order to advance global climate service development, we present a typology of decisions relying on global (i.e., non-local) climate risk information. We illustrate each decision type through examples of current practice from the coastal domain drawn from the literature and stakeholder interviews. We identify 8 types of decisions making use of global climate information. At a top-level, we distinguish between “multilateral climate policy decisions,” and “portfolio decisions involving multiple locations.” Multilateral climate policy decisions regard either “mitigation targets” or “multilateral adaptation” decisions. Portfolio decisions regard either “choice of location” or “choice of financial asset” decisions. Choice of location decisions can be further distinguished as to whether they involve “direct climate risks,” “supply chain risks” or “financial network risks.” Our survey of examples shows that global climate service development is more advanced for portfolio decisions taken by companies with experience in climate risk assessment, i.e., (re-)insurers, whereas many multilateral climate policy decisions are at an earlier stage of decision-making. Our typology thus provides an entry-point for global climate service development by pointing to promising research directions for supporting global (non-local) decisions that account for climate risks.

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    Authors: Bellassen, Valentin; Arfini, Filippo; Antonioli, Federico; Bodini, Antonio; +36 Authors

    Article signat per 14 autors/es Valentin Bellassen, Filippo Arfini, Federico Antonioli, Antonio Bodini, Michael Boehm, Ružica Brečić, Sara Chiussi, Peter Csillag, Michele Donati, Liesbeth Dries, Marion Drut, Matthieu Duboys de Labarre, Hugo Ferrer, Jelena Filipović, Lisa Gauvrit, José M. Gil, Matthew Gorton, Viet Hoàng, Mohamed Hilal, Kamilla Knutsen Steinnes, Apichaya Lilavanichakul, Agata Malak-Rawlikowska, Edward Majewski, Sylvette Monier-Dilhan, Paul Muller, Orachos Napasintuwong, Kalliroi Nikolaou, Mai Nguyen, An Nguyễn Quỳnh, Ioannis Papadopoulos, Jack Peerlings, Aron Török, Thomas Poméon, Bojan Ristic, Burkhard Schaer, Zaklina Stojanovic, Barbara Tocco, Marina Tomic Maksan, Mario Veneziani, and Gunnar Vitterso The dataset Sustainability performance of certified and non-certified food (https://www.doi.org/10.15454/OP51SJ) contains 25 indicators of economic, environmental, and social performance, estimated for 27 certified food value chains and their 27 conventional reference products. The indicators are estimated at different levels of the value chain: farm level, processing level, and retail level. It also contains the raw data based on which the indicators are estimated, its source, and the completed spreadsheet calculators for the following indicators: carbon footprint and food miles. Related data set “Sustainability performance of certified and non-certified food” with doi www.doi.org/10.15454/OP51SJ in repository “Data inrae”

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    Authors: Koutsouris, Alex; Zarokosta, Eleni;

    ABSTRACT Purpose The paper aims at better understanding the micro-foundations of current institutional changes in agricultural knowledge and innovation systems (AKIS). Design A survey of 98 farmers and interviews with 37 advice providers in south-western France were conducted to analyse the ways in which farmers combine different sources of advice (microAKIS). The farmers’ practices were observed for general farm management and for 3 types of innovation (new crop diversification, digital decision support tools, and labour outsourcing). Findings The results highlight poorly-known characteristics of microAKIS regarding the variety of sources of advice used by farmers, and the limited number of reliable resources on which farmers can draw at key stages of the innovation process. They provide evidence of bottom-up mechanisms of institutional changes such as the routinization of the use of certain service providers that are often overlooked in AKIS analyses (e.g. upstream industries). Practical implications These results can contribute to reducing the misalignments of stakeholders’ representations of AKIS and microAKIS, and therefore facilitate public debates and improve the efficiency of interventions in this area. Theoretical implications Studies of institutional changes resulting from the evolution of microAKIS are expected to complement analyses of increased pluralism of advice providers. Originality Linking the observation of microAKIS and the analysis of incremental institutional changes in AKIS allows the identification of transformations of the AKIS rationale that would otherwise remain partially invisible.

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Polita, Fabiola; Madureira, Livia;

    International audience; This paper employs MLP (Multi Level Perspective) applied to a study on the transition to SFSC (short food supply chain) innovation taking place in North-West Portugal. MLP allows capturing transition phenomena and analysing them from a perspective that posits intervening factors and events on a three-level scale. Emphasis is laid on the institutional actors and factors that influence these processes, namely the Three Interrelated Analytic Dimensions and Types of Anchoring. Methodologically, personal interviews were conducted with 34 farmers who either are carrying out SFSC initiatives, or have dropped out, or even have never considered participating in them. A process of anchoring the innovation to the local socio-technical regime has been identified, characterised by a low buy-in from institutions and stakeholders. The anchoring that has been found has the peculiarity of occurring only in some points of the intersection between niche and regime, in a process in which it survives bordering this threshold, thanks to the mobilisation of multiple innovations. This type of anchoring, not yet described in the literature, draws attention to a possible pathway that innovations can follow, and brings implications for projects and for policy proposals to support the agroecological transition.

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    Sustainability
    Article
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    Sustainability
    Article . 2021
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Anne Sicard; Maria Saponari; Mathieu Vanhove; Andreina I. Castillo; +6 Authors

    The invasive plant pathogen Xylella fastidiosa currently threatens European flora through the loss of economically and culturally important host plants. This emerging vector-borne bacterium, native to the Americas, causes several important diseases in a wide range of plants including crops, ornamentals, and trees. Previously absent from Europe, and considered a quarantine pathogen, X. fastidiosa was first detected in Apulia, Italy in 2013 associated with a devastating disease of olive trees (Olive Quick Decline Syndrome, OQDS). OQDS has led to significant economic, environmental, cultural, as well as political crises. Although the biology of X. fastidiosa diseases have been studied for over a century, there is still no information on the determinants of specificity between bacterial genotypes and host plant species, which is particularly relevant today as X. fastidiosa is expanding in the naive European landscape. We analysed the genomes of 79 X . fastidiosa samples from diseased olive trees across the affected area in Italy as well as genomes of the most genetically closely related strains from Central America. We provided insights into the ecological and evolutionary emergence of this pathogen in Italy. We first showed that the outbreak in Apulia is due to a single introduction from Central America that we estimated to have occurred in 2008 [95 % HPD: 1930–2016]. By using a combination of population genomic approaches and evolutionary genomics methods, we further identified a short list of genes that could play a major role in the adaptation of X. fastidiosa to this new environment. We finally provided experimental evidence for the adaptation of the strain to this new environment.

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    Microbial Genomics
    Article . 2021 . Peer-reviewed
    License: CC BY NC
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    CNR ExploRA
    Article . 2021
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    Authors: E. Sebok; H. J. Henriksen; E. Pastén-Zapata; E. Pastén-Zapata; +26 Authors

    Various methods are available for assessing uncertainties in climate impact studies. Among such methods, model weighting by expert elicitation is a practical way to provide a weighted ensemble of models for specific real-world impacts. The aim is to decrease the influence of improbable models in the results and easing the decisionmaking process. In this study both climate and hydrological models are analysed, and the result of a research experiment is presented using model weighting with the participation of six climate model experts and six hydrological model experts. For the experiment, seven climate models are a priori selected from a larger EURO-CORDEX (Coordinated Regional Downscaling Experiment – European Domain) ensemble of climate models, and three different hydrological models are chosen for each of the three European river basins. The model weighting is based on qualitative evaluation by the experts for each of the selected models based on a training material that describes the overall model structure and literature about climate models and the performance of hydrological models for the present period. The expert elicitation process follows a three-stage approach, with two individual rounds of elicitation of probabilities and a final group consensus, where the experts are separated into two different community groups: a climate and a hydrological modeller group. The dialogue reveals that under the conditions of the study, most climate modellers prefer the equal weighting of ensemble members, whereas hydrological-impact modellers in general are more open for assigning weights to different models in a multi-model ensemble, based on model performance and model structure. Climate experts are more open to exclude models, if obviously flawed, than to put weights on selected models in a relatively small ensemble. The study shows that expert elicitation can be an efficient way to assign weights to different hydrological models and thereby reduce the uncertainty in climate impact. However, for the climate model ensemble, comprising seven models, the elicitation in the format of this study could only re-establish a uniform weight between climate models. European Commission European Commission Joint Research Centre 690462

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    https://hess.copernicus.org/pr...
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    Hydrology and Earth System Sciences (HESS)
    Article . 2022 . Peer-reviewed
    License: CC BY
    Data sources: Crossref
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    https://doi.org/10.5194/hess-2...
    Preprint . 2021 . Peer-reviewed
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      Hydrology and Earth System Sciences (HESS)
      Article . 2022 . Peer-reviewed
      License: CC BY
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      https://doi.org/10.5194/hess-2...
      Preprint . 2021 . Peer-reviewed
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    Authors: M. Belgacem; M. Belgacem; K. Schroeder; A. Barth; +6 Authors

    The Western MEDiterranean Sea BioGeochemical Climatology (BGC-WMED, https://doi.org/10.1594/PANGAEA.930447) (Belgacem et al., 2021) presented here is a product derived from quality-controlled in situ observations. Annual mean gridded nutrient fields for the period 1981–2017 and its sub-periods 1981–2004 and 2005–2017 on a horizontal 1/4∘ × 1/4∘ grid have been produced. The biogeochemical climatology is built on 19 depth levels and for the dissolved inorganic nutrients nitrate, phosphate and orthosilicate. To generate smooth and homogeneous interpolated fields, the method of the variational inverse model (VIM) was applied. A sensitivity analysis was carried out to assess the comparability of the data product with the observational data. The BGC-WMED was then compared to other available data products, i.e., the MedBFM biogeochemical reanalysis of the Mediterranean Sea and the World Ocean Atlas 2018 (WOA18) (its biogeochemical part). The new product reproduces common features with more detailed patterns and agrees with previous records. This suggests a good reference for the region and for the scientific community for the understanding of inorganic nutrient variability in the western Mediterranean Sea, in space and in time, but our new climatology can also be used to validate numerical simulations, making it a reference data product.

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    Earth System Science Data (ESSD)
    Article . 2021 . Peer-reviewed
    License: CC BY
    Data sources: Crossref
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    Earth System Science Data (ESSD)
    Other literature type . 2021
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    DOAJ
    Article . 2021
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      Earth System Science Data (ESSD)
      Article . 2021 . Peer-reviewed
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      Earth System Science Data (ESSD)
      Other literature type . 2021
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    Authors: Xanthippi P. Louka; Aimilia D. Sklirou; Géraldine Le Goff; Philippe Lopes; +5 Authors

    Cells have developed a highly integrated system responsible for proteome stability, namely the proteostasis network (PN). As loss of proteostasis is a hallmark of aging and age-related diseases, the activation of PN modules can likely extend healthspan. Here, we present data on the bioactivity of an extract (SA223-S2BM) purified from the strain Salinispora arenicola TM223-S2 that was isolated from the soft coral Scleronephthya lewinsohni; this coral was collected at a depth of 65 m from the mesophotic Red Sea ecosystem EAPC (south Eilat, Israel). Treatment of human cells with SA223-S2BM activated proteostatic modules, decreased oxidative load, and conferred protection against oxidative and genotoxic stress. Furthermore, SA223-S2BM enhanced proteasome and lysosomal-cathepsins activities in Drosophila flies and exhibited skin protective effects as evidenced by effective inhibition of the skin aging-related enzymes, elastase and tyrosinase. We suggest that the SA223-S2BM extract constitutes a likely promising source for prioritizing molecules with anti-aging properties.

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    Current Issues in Molecular Biology
    Other literature type . Article . 2021 . Peer-reviewed
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    Authors: Valentina Sessa; Edi Assoumou; Mireille Bossy; Sofia G. Simões;

    ABSTRACT: Analyzing the impact of climate variables into the operational planning processes is essential for the robust implementation of a sustainable power system. This paper deals with the modeling of the run-of-river hydropower production based on climate variables on the European scale. A better understanding of future run-of-river generation patterns has important implications for power systems with increasing shares of solar and wind power. Run-of-river plants are less intermittent than solar or wind but also less dispatchable than dams with storage capacity. However, translating time series of climate data (precipitation and air temperature) into time series of run-of-river-based hydropower generation is not an easy task as it is necessary to capture the complex relationship between the availability of water and the generation of electricity. This task is also more complex when performed for a large interconnected area. In this work, a model is built for several European countries by using machine learning techniques. In particular, we compare the accuracy of models based on the Random Forest algorithm and show that a more accurate model is obtained when a finer spatial resolution of climate data is introduced. We then discuss the practical applicability of a machine learning model for the medium term forecasts and show that some very context specific but influential events are hard to capture. info:eu-repo/semantics/publishedVersion

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    Clean Technologies
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    Authors: Laurent, Catherine; Nguyen, Geneviève; Triboulet, Pierre; Ansaloni, Matthieu; +2 Authors

    To cite this article: Catherine Laurent, Geneviève Nguyen, Pierre Triboulet, Matthieu Ansaloni, Noemie Bechtet & Pierre Labarthe (2021): Institutional continuity and hidden changes in farm advisory services provision: evidence from farmers’ microAKIS observations in France, The Journal of Agricultural Education and Extension, DOI: 10.1080/1389224X.2021.2008996 ABSTRACT Purpose: The paper aims at better understanding the microfoundations of current institutional changes in agricultural knowledge and innovation systems (AKIS). Design: A survey of 98 farmers and interviews with 37 advice providers in south-western France were conducted to analyse the ways in which farmers combine different sources of advice (microAKIS). The farmers’ practices were observed for general farm management and for 3 types of innovation (new crop diversification, digital decision support tools, and labour outsourcing). Findings: The results highlight poorly-known characteristics of microAKIS regarding the variety of sources of advice used by farmers, and the limited number of reliable resources on which farmers can draw at key stages of the innovation process. They provide evidence of bottom-up mechanisms of institutional changes such as the routinization of the use of certain service providers that are often overlooked in AKIS analyses (e.g. upstream industries). Practical implications: These results can contribute to reducing the misalignments of stakeholders’ representations of AKIS and microAKIS, and therefore facilitate public debates and improve the efficiency of interventions in this area. Theoretical implications: Studies of institutional changes resulting from the evolution of microAKIS are expected to complement analyses of increased pluralism of advice providers. Originality: Linking the observation of microAKIS and the analysis of incremental institutional changes in AKIS allows the identification of transformations of the AKIS rationale that would otherwise remain partially invisible.

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    Authors: Alexander Bisaro; Jochen Hinkel; Jochen Hinkel; Gonéri Le Cozannet; +2 Authors

    International audience; Climate services are ideally co-developed by scientists and stakeholders working together to identify decisions and user needs. Yet, while climate services have been developed at regional to local scales, relatively little attention has been paid to the global scale. Global climate services involve decisions that rely on climate information from many locations in different world regions, and are increasingly salient. Increasing interconnections in the global financial system and supply chains expose private companies and financial institutions to climate risk in multiple locations in different world regions. Further, multilateral decisions on greenhouse gas emission reduction targets, disaster risk finance or international migration should make use of global scale climate risk assessments. In order to advance global climate service development, we present a typology of decisions relying on global (i.e., non-local) climate risk information. We illustrate each decision type through examples of current practice from the coastal domain drawn from the literature and stakeholder interviews. We identify 8 types of decisions making use of global climate information. At a top-level, we distinguish between “multilateral climate policy decisions,” and “portfolio decisions involving multiple locations.” Multilateral climate policy decisions regard either “mitigation targets” or “multilateral adaptation” decisions. Portfolio decisions regard either “choice of location” or “choice of financial asset” decisions. Choice of location decisions can be further distinguished as to whether they involve “direct climate risks,” “supply chain risks” or “financial network risks.” Our survey of examples shows that global climate service development is more advanced for portfolio decisions taken by companies with experience in climate risk assessment, i.e., (re-)insurers, whereas many multilateral climate policy decisions are at an earlier stage of decision-making. Our typology thus provides an entry-point for global climate service development by pointing to promising research directions for supporting global (non-local) decisions that account for climate risks.

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    IASSpublic
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    Frontiers in Marine Science
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    Authors: Bellassen, Valentin; Arfini, Filippo; Antonioli, Federico; Bodini, Antonio; +36 Authors

    Article signat per 14 autors/es Valentin Bellassen, Filippo Arfini, Federico Antonioli, Antonio Bodini, Michael Boehm, Ružica Brečić, Sara Chiussi, Peter Csillag, Michele Donati, Liesbeth Dries, Marion Drut, Matthieu Duboys de Labarre, Hugo Ferrer, Jelena Filipović, Lisa Gauvrit, José M. Gil, Matthew Gorton, Viet Hoàng, Mohamed Hilal, Kamilla Knutsen Steinnes, Apichaya Lilavanichakul, Agata Malak-Rawlikowska, Edward Majewski, Sylvette Monier-Dilhan, Paul Muller, Orachos Napasintuwong, Kalliroi Nikolaou, Mai Nguyen, An Nguyễn Quỳnh, Ioannis Papadopoulos, Jack Peerlings, Aron Török, Thomas Poméon, Bojan Ristic, Burkhard Schaer, Zaklina Stojanovic, Barbara Tocco, Marina Tomic Maksan, Mario Veneziani, and Gunnar Vitterso The dataset Sustainability performance of certified and non-certified food (https://www.doi.org/10.15454/OP51SJ) contains 25 indicators of economic, environmental, and social performance, estimated for 27 certified food value chains and their 27 conventional reference products. The indicators are estimated at different levels of the value chain: farm level, processing level, and retail level. It also contains the raw data based on which the indicators are estimated, its source, and the completed spreadsheet calculators for the following indicators: carbon footprint and food miles. Related data set “Sustainability performance of certified and non-certified food” with doi www.doi.org/10.15454/OP51SJ in repository “Data inrae”

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Koutsouris, Alex; Zarokosta, Eleni;

    ABSTRACT Purpose The paper aims at better understanding the micro-foundations of current institutional changes in agricultural knowledge and innovation systems (AKIS). Design A survey of 98 farmers and interviews with 37 advice providers in south-western France were conducted to analyse the ways in which farmers combine different sources of advice (microAKIS). The farmers’ practices were observed for general farm management and for 3 types of innovation (new crop diversification, digital decision support tools, and labour outsourcing). Findings The results highlight poorly-known characteristics of microAKIS regarding the variety of sources of advice used by farmers, and the limited number of reliable resources on which farmers can draw at key stages of the innovation process. They provide evidence of bottom-up mechanisms of institutional changes such as the routinization of the use of certain service providers that are often overlooked in AKIS analyses (e.g. upstream industries). Practical implications These results can contribute to reducing the misalignments of stakeholders’ representations of AKIS and microAKIS, and therefore facilitate public debates and improve the efficiency of interventions in this area. Theoretical implications Studies of institutional changes resulting from the evolution of microAKIS are expected to complement analyses of increased pluralism of advice providers. Originality Linking the observation of microAKIS and the analysis of incremental institutional changes in AKIS allows the identification of transformations of the AKIS rationale that would otherwise remain partially invisible.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ The Journal of Agric...arrow_drop_down
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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Article . 2022
    License: CC BY
    Data sources: ZENODO
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Polita, Fabiola; Madureira, Livia;

    International audience; This paper employs MLP (Multi Level Perspective) applied to a study on the transition to SFSC (short food supply chain) innovation taking place in North-West Portugal. MLP allows capturing transition phenomena and analysing them from a perspective that posits intervening factors and events on a three-level scale. Emphasis is laid on the institutional actors and factors that influence these processes, namely the Three Interrelated Analytic Dimensions and Types of Anchoring. Methodologically, personal interviews were conducted with 34 farmers who either are carrying out SFSC initiatives, or have dropped out, or even have never considered participating in them. A process of anchoring the innovation to the local socio-technical regime has been identified, characterised by a low buy-in from institutions and stakeholders. The anchoring that has been found has the peculiarity of occurring only in some points of the intersection between niche and regime, in a process in which it survives bordering this threshold, thanks to the mobilisation of multiple innovations. This type of anchoring, not yet described in the literature, draws attention to a possible pathway that innovations can follow, and brings implications for projects and for policy proposals to support the agroecological transition.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Sustainability; ZENO...arrow_drop_down
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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Sustainability
    Article
    License: CC BY
    Data sources: UnpayWall
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Sustainability
    Article . 2021
    Data sources: DOAJ-Articles
    DOAJ
    Article . 2021
    Data sources: DOAJ
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