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    Authors: Ben Henderson; Stefan Frank; Petr Havlik; Hugo Valin;

    This study uses GLOBIOM ‒ the most detailed global economic model of agriculture, land use and greenhouse gas (GHG) emissions ‒ to assess the effectiveness of different policies in cutting net emissions from the Agriculture, Forestry and Other Land Use (AFOLU) sector, with a view to helping limit long-term global temperature increases to 1.5°C and 2°C. Trade-offs between emission reductions and impacts on food producers, consumers and government budgets are also evaluated for each policy package. A full complement of policy options is deployed globally across AFOLU, comprising emission taxes for emitting AFOLU activities and subsidies rewarding carbon sequestration. Using a carbon price consistent with the 2°C target (1.5°C target), this is projected to mitigate 8 GtCO2 eq/yr (12 GtCO2 eq/yr) in 2050, representing 89% (129%) reduction in net AFOLU emissions, and 12% (21%) of total anthropogenic GHG emissions. Nearly two-thirds of the net emission reductions are from the Land Use, Land-Use Change and Forestry (LULUCF) component of AFOLU, mostly from reduced deforestation. A global carbon tax on AFOLU is found to be twice as effective in lowering emissions as an equivalently priced emission abatement subsidy because the latter keeps high emitting producers in business. However, a tax has trade-offs in terms of lower agricultural production and food consumption, which a subsidy avoids. A shift to lower emission diets by consumers has a much smaller impact on reducing agricultural emissions than any of the policy packages involving taxes on emissions.

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    Authors: Tsendbazar, Nandin-Erdene; Tarko, Agnieszka; Li, Linlin; Herold, Martin; +3 Authors

    This Validation Report describes in detail the quality of the satellite-based 100m Land Cover product of the global component of the Copernicus Land Service. It includes assessments of yearly global land cover layers (2015-2019), assessment of change as well as comparison with the previous version using an independent validation dataset. The related Product User Manual is the starting point for the reader and summarizes all aspects of the product (algorithm, quality, contents, format, etc).

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      Report . External research report . 2020
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    Authors: Vijn, M.P.; van Alebeek, F.A.N.; de Wolf, P.L.; Visser, A.J.;

    Het platteland in Nederland ontwikkeld zich razendsnel. Er dienen zich nieuwe marktkansen aan zoals bijvoorbeeld regionalisering, recreatie en duurzaamheid. Veel ondernemers spelen hierop in, waardoor de functie van het platteland verschuift van zuiver productie naar diensten (recreatie), landschap en productie met meerwaarde. Echter, veel ondernemers hebben te weinig kennis, ervaring of mogelijkheden om volwaardige bedrijven te ontwikkelen die op deze nieuwe kansen inspelen

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    Report . External research report . 2010
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    Authors: Grünangerl, Manuela; Prandner, Dimitri;

    In 2023, for the second time, the Digital Skills Austria survey addressed the question of the extent to which Austrians are capable of orienting themselves in the digital space, finding their way around and shaping it themselves. Whereas the first survey in 2022 not only measured digital skills but also knowledge about processes in the digital space, the focus in 2023 was on the influence of formal education and further training, and the participants' problem-solving competencies in the digital space were surveyed. The following document provides insights into the methodology of the Digital Skills Study 2023, the central themes, and a short overview of selected outcomes in English. If you want to access the full german report select V1 in the Versions menu to the right. 

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    ZENODO
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    Authors: Eysn, L.; Hollaus, M.; Lindberg, E.; Berger, F.; +7 Authors

    [Departement_IRSTEA]Territoires [TR1_IRSTEA]SEDYVIN; International audience; In this study, eight airborne laser scanning (ALS)-based single tree detection methods are benchmarked and investigated. The methods were applied to a unique dataset originating from different regions of the Alpine Space covering different study areas, forest types, and structures. This is the first benchmark ever performed for different forests within the Alps. The evaluation of the detection results was carried out in a reproducible way by automatically matching them to precise in situ forest inventory data using a restricted nearest neighbor detection approach. Quantitative statistical parameters such as percentages of correctly matched trees and omission and commission errors are presented. The proposed automated matching procedure presented herein shows an overall accuracy of 97%. Method based analysis, investigations per forest type, and an overall benchmark performance are presented. The best matching rate was obtained for single-layered coniferous forests. Dominated trees were challenging for all methods. The overall performance shows a matching rate of 47%, which is comparable to results of other benchmarks performed in the past. The study provides new insight regarding the potential and limits of tree detection with ALS and underlines some key aspects regarding the choice of method when performing single tree detection for the various forest types encountered in alpine regions.

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    Forests
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    Forests
    Article . 2015
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    Authors: Grünangerl, Manuela; Prandner, Dimitri;

    The Digital Skills Austria 2023 survey focused on the extent to which Austrians are able to navigate, orientate and shape the digital space. While the first survey in 2022 not only measured digital skills but also knowledge about processes in the digital space, the focus in 2023 was on the influence of education and training and the participants' problem-solving skills in the digital space. For this purpose, in July and August 2023, a total of 2087 people from the Austrian online population aged 16 and over were asked via an online access panel how they assess their digital skills. They were then asked to demonstrate their problem-solving skills in thirteen concrete tasks. The results show that while the level of skills reported is high, the level of competence is rather low. Additional courses in digital technology seem to have a positive impact on skills.

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    Authors: Karen Austrian; Eunice N. Muthengi; Taylor Riley; Joyce Mumah; +2 Authors

    Many adolescent girls in Kenya face considerable risks and vulnerabilities that affect their education status health and general well-being. The Adolescent Girls Initiative-Kenya (AGI-K) will deliver multi-sectoral interventions for over 5000 girls ages 11-14 in two marginalized areas of Kenya: 1) Kibera slums in Nairobi and 2) Wajir County in Northeastern Kenya. Implemented by Plan International in Kibera and Save the Children in Wajir these interventions will be implemented for two years and will comprise a combination of girl-level household-level and community-level interventions. A randomized controlled trial (RCT) will be used to compare the impact of four different packages of interventions together with their costs in order to assess if and how interven-ing in early adolescence will impact girls’ life chances. This report describes the intervention and research design of AGI-K as well as the findings from the baseline survey. Baseline results from Kibera and Wajir suggest that although young adolescents face a myriad of challenges the majority have not experienced risks associated with poor sexual and repro-ductive health outcomes. Intervening in the different sectors (education wealth health and violence prevention) therefore has the potential to delay or prevent negative outcomes as ado-lescents make the transition to adulthood in resource-constrained settings. Overall there were stark differences between Kibera (urban slum) and Wajir (rural area) in all four sectors. The differences between Nairobi and Wajir justify the importance of looking at these as separate substudies.

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    Authors: Ben Henderson; Stefan Frank; Petr Havlik; Hugo Valin;

    This study uses GLOBIOM ‒ the most detailed global economic model of agriculture, land use and greenhouse gas (GHG) emissions ‒ to assess the effectiveness of different policies in cutting net emissions from the Agriculture, Forestry and Other Land Use (AFOLU) sector, with a view to helping limit long-term global temperature increases to 1.5°C and 2°C. Trade-offs between emission reductions and impacts on food producers, consumers and government budgets are also evaluated for each policy package. A full complement of policy options is deployed globally across AFOLU, comprising emission taxes for emitting AFOLU activities and subsidies rewarding carbon sequestration. Using a carbon price consistent with the 2°C target (1.5°C target), this is projected to mitigate 8 GtCO2 eq/yr (12 GtCO2 eq/yr) in 2050, representing 89% (129%) reduction in net AFOLU emissions, and 12% (21%) of total anthropogenic GHG emissions. Nearly two-thirds of the net emission reductions are from the Land Use, Land-Use Change and Forestry (LULUCF) component of AFOLU, mostly from reduced deforestation. A global carbon tax on AFOLU is found to be twice as effective in lowering emissions as an equivalently priced emission abatement subsidy because the latter keeps high emitting producers in business. However, a tax has trade-offs in terms of lower agricultural production and food consumption, which a subsidy avoids. A shift to lower emission diets by consumers has a much smaller impact on reducing agricultural emissions than any of the policy packages involving taxes on emissions.

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    Authors: Tsendbazar, Nandin-Erdene; Tarko, Agnieszka; Li, Linlin; Herold, Martin; +3 Authors

    This Validation Report describes in detail the quality of the satellite-based 100m Land Cover product of the global component of the Copernicus Land Service. It includes assessments of yearly global land cover layers (2015-2019), assessment of change as well as comparison with the previous version using an independent validation dataset. The related Product User Manual is the starting point for the reader and summarizes all aspects of the product (algorithm, quality, contents, format, etc).

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    Authors: Vijn, M.P.; van Alebeek, F.A.N.; de Wolf, P.L.; Visser, A.J.;

    Het platteland in Nederland ontwikkeld zich razendsnel. Er dienen zich nieuwe marktkansen aan zoals bijvoorbeeld regionalisering, recreatie en duurzaamheid. Veel ondernemers spelen hierop in, waardoor de functie van het platteland verschuift van zuiver productie naar diensten (recreatie), landschap en productie met meerwaarde. Echter, veel ondernemers hebben te weinig kennis, ervaring of mogelijkheden om volwaardige bedrijven te ontwikkelen die op deze nieuwe kansen inspelen

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    Authors: Grünangerl, Manuela; Prandner, Dimitri;

    In 2023, for the second time, the Digital Skills Austria survey addressed the question of the extent to which Austrians are capable of orienting themselves in the digital space, finding their way around and shaping it themselves. Whereas the first survey in 2022 not only measured digital skills but also knowledge about processes in the digital space, the focus in 2023 was on the influence of formal education and further training, and the participants' problem-solving competencies in the digital space were surveyed. The following document provides insights into the methodology of the Digital Skills Study 2023, the central themes, and a short overview of selected outcomes in English. If you want to access the full german report select V1 in the Versions menu to the right. 

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    Authors: Eysn, L.; Hollaus, M.; Lindberg, E.; Berger, F.; +7 Authors

    [Departement_IRSTEA]Territoires [TR1_IRSTEA]SEDYVIN; International audience; In this study, eight airborne laser scanning (ALS)-based single tree detection methods are benchmarked and investigated. The methods were applied to a unique dataset originating from different regions of the Alpine Space covering different study areas, forest types, and structures. This is the first benchmark ever performed for different forests within the Alps. The evaluation of the detection results was carried out in a reproducible way by automatically matching them to precise in situ forest inventory data using a restricted nearest neighbor detection approach. Quantitative statistical parameters such as percentages of correctly matched trees and omission and commission errors are presented. The proposed automated matching procedure presented herein shows an overall accuracy of 97%. Method based analysis, investigations per forest type, and an overall benchmark performance are presented. The best matching rate was obtained for single-layered coniferous forests. Dominated trees were challenging for all methods. The overall performance shows a matching rate of 47%, which is comparable to results of other benchmarks performed in the past. The study provides new insight regarding the potential and limits of tree detection with ALS and underlines some key aspects regarding the choice of method when performing single tree detection for the various forest types encountered in alpine regions.

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    Authors: Grünangerl, Manuela; Prandner, Dimitri;

    The Digital Skills Austria 2023 survey focused on the extent to which Austrians are able to navigate, orientate and shape the digital space. While the first survey in 2022 not only measured digital skills but also knowledge about processes in the digital space, the focus in 2023 was on the influence of education and training and the participants' problem-solving skills in the digital space. For this purpose, in July and August 2023, a total of 2087 people from the Austrian online population aged 16 and over were asked via an online access panel how they assess their digital skills. They were then asked to demonstrate their problem-solving skills in thirteen concrete tasks. The results show that while the level of skills reported is high, the level of competence is rather low. Additional courses in digital technology seem to have a positive impact on skills.

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    Authors: Karen Austrian; Eunice N. Muthengi; Taylor Riley; Joyce Mumah; +2 Authors

    Many adolescent girls in Kenya face considerable risks and vulnerabilities that affect their education status health and general well-being. The Adolescent Girls Initiative-Kenya (AGI-K) will deliver multi-sectoral interventions for over 5000 girls ages 11-14 in two marginalized areas of Kenya: 1) Kibera slums in Nairobi and 2) Wajir County in Northeastern Kenya. Implemented by Plan International in Kibera and Save the Children in Wajir these interventions will be implemented for two years and will comprise a combination of girl-level household-level and community-level interventions. A randomized controlled trial (RCT) will be used to compare the impact of four different packages of interventions together with their costs in order to assess if and how interven-ing in early adolescence will impact girls’ life chances. This report describes the intervention and research design of AGI-K as well as the findings from the baseline survey. Baseline results from Kibera and Wajir suggest that although young adolescents face a myriad of challenges the majority have not experienced risks associated with poor sexual and repro-ductive health outcomes. Intervening in the different sectors (education wealth health and violence prevention) therefore has the potential to delay or prevent negative outcomes as ado-lescents make the transition to adulthood in resource-constrained settings. Overall there were stark differences between Kibera (urban slum) and Wajir (rural area) in all four sectors. The differences between Nairobi and Wajir justify the importance of looking at these as separate substudies.

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