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description Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2021Embargo end date: 28 Mar 2023 Italy, GermanyPublisher:Springer Science and Business Media LLC Authors: Bester Tawona Mudereri; Bester Tawona Mudereri; Amsalu Woldie Yalew; Amsalu Woldie Yalew; +3 AuthorsBester Tawona Mudereri; Bester Tawona Mudereri; Amsalu Woldie Yalew; Amsalu Woldie Yalew; Christoph Gornott; Christoph Gornott; Abel Chemura;AbstractCurrent climate change impact studies on coffee have not considered impact on coffee typicities that depend on local microclimatic, topographic and soil characteristics. Thus, this study aims to provide a quantitative risk assessment of the impact of climate change on suitability of five premium specialty coffees in Ethiopia. We implement an ensemble model of three machine learning algorithms to predict current and future (2030s, 2050s, 2070s, and 2090s) suitability for each specialty coffee under four Shared Socio-economic Pathways (SSPs). Results show that the importance of variables determining coffee suitability in the combined model is different from those for specialty coffees despite the climatic factors remaining more important in determining suitability than topographic and soil variables. Our model predicts that 27% of the country is generally suitable for coffee, and of this area, only up to 30% is suitable for specialty coffees. The impact modelling showed that the combined model projects a net gain in coffee production suitability under climate change in general but losses in five out of the six modelled specialty coffee growing areas. We conclude that depending on drivers of suitability and projected impacts, climate change will significantly affect the Ethiopian speciality coffee sector and area-specific adaptation measures are required to build resilience.
Publication Database... arrow_drop_down Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41598-021-87647-4&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 55 citations 55 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Publication Database... arrow_drop_down Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41598-021-87647-4&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal , Preprint 2020 Australia, France, Australia, France, Singapore, NetherlandsPublisher:Springer Science and Business Media LLC Funded by:UKRI | GCRF Trade, Development a...UKRI| GCRF Trade, Development and the Environment HubZoltan Szantoi; Nicholas B.W. Macfarlane; Truly Santika; Serge A. Wich; Serge A. Wich; Eleanor M. Slade; Janice Ser Huay Lee; Nadine Zamira; Kimberly M. Carlson; Erik Meijaard; Erik Meijaard; Matthew J. Struebig; Jesse F. Abrams; Jesse F. Abrams; David L. A. Gaveau; Douglas Sheil; Marcos Persio; John Garcia-Ulloa; Diego Juffe-Bignoli; Diego Juffe-Bignoli; Cyriaque N. Sendashonga; Rachel Hoffmann; Adrià Descals; Lian Pin Koh; Herbert H. T. Prins; Marc Ancrenaz; Paul R. Furumo; Daniel Murdiyarso; Daniel Murdiyarso; Thomas M. Brooks; Thomas M. Brooks; Thomas M. Brooks;doi: 10.1038/s41477-020-00813-w , 10.31223/osf.io/e69bz , 10.60692/br7zp-6vw56 , 10.60692/qh8t8-60v73
pmid: 33299148
handle: 10568/111665
doi: 10.1038/s41477-020-00813-w , 10.31223/osf.io/e69bz , 10.60692/br7zp-6vw56 , 10.60692/qh8t8-60v73
pmid: 33299148
handle: 10568/111665
La réalisation des objectifs de développement durable (ODD) nécessite d'équilibrer les demandes en terres entre l'agriculture (ODD 2) et la biodiversité (ODD 15).La production d'huiles végétales, et en particulier d'huile de palme, illustre ces demandes concurrentes et ces compromis.L' huile de palme représente ~40 % de la demande annuelle mondiale actuelle d'huile végétale pour l'alimentation humaine, animale et pour le carburant (210 millions de tonnes (Mt)), mais le palmier à huile planté couvre moins de 5 à 5,5 % de la superficie totale des cultures oléagineuses mondiales (environ 425 Mha), en raison des rendements relativement élevés du palmier à huile.L' expansion récente du palmier à huile dans les régions boisées de Bornéo, de Sumatra et de la péninsule malaise, où plus de 90 % de l'huile de palme mondiale est produite, a suscité de vives inquiétudes quant au rôle du palmier à huile dans la déforestation.La contribution directe de l'expansion du palmier à huile à la déforestation tropicale régionale varie considérablement, allant de 3 % en Afrique de l'Ouest à 47 % en Malaisie.Le palmier à huile est également impliqué dans le drainage et la combustion des tourbières en Asie du Sud-Est.Les impacts environnementaux négatifs documentés d'une telle expansion comprennent le déclin de la biodiversité, les émissions de gaz à effet de serre et la pollution atmosphérique.Toutefois, le palmier à huile produit généralement plus l'huile par superficie par rapport aux autres cultures oléagineuses, est souvent économiquement viable sur des sites inadaptés à la plupart des autres cultures, et génère une richesse considérable pour au moins certains acteurs. La demande mondiale d'huiles végétales devrait augmenter de 46 % d'ici 2050. Répondre à cette demande par une expansion supplémentaire du palmier à huile par rapport à d'autres cultures d'huile végétale entraînera des effets différentiels substantiels sur la biodiversité, la sécurité alimentaire, le changement climatique, la dégradation des terres et les moyens de subsistance. Notre examen souligne que, bien que des lacunes importantes subsistent dans notre compréhension de la relation entre les impacts environnementaux, socioculturels et économiques du palmier à huile, et la portée, la rigueur et l'efficacité des initiatives visant à y remédier, il y a eu peu de recherches sur les impacts et les compromis des autres cultures d'huile végétale. Une plus grande attention de la recherche doit être accordée à l'étude des impacts de la production d'huile de palme par rapport aux alternatives pour les compromis à évaluer à l'échelle mondiale. El cumplimiento de los Objetivos de Desarrollo Sostenible (ODS) requiere equilibrar las demandas de tierras entre la agricultura (ODS 2) y la biodiversidad (ODS 15). La producción de aceites vegetales, y en particular el aceite de palma, ilustra estas demandas y compensaciones competitivas. El aceite de palma representa aproximadamente el 40% de la demanda anual mundial actual de aceite vegetal como alimento, pienso y combustible (210 millones de toneladas (Mt)), pero la palma aceitera plantada cubre menos del 5-5,5% del área total de cultivos oleaginosos mundiales (aprox. 425 Mha). debido a los rendimientos relativamente altos de la palma aceitera. La reciente expansión de la palma aceitera en las regiones boscosas de Borneo, Sumatra y la Península Malaya, donde se produce más del 90% del aceite de palma mundial, ha generado una preocupación sustancial sobre el papel de la palma aceitera en la deforestación. La contribución directa de la expansión de la palma aceitera a la deforestación tropical regional varía ampliamente, desde el 3% en África occidental hasta el 47% en Malasia. La palma aceitera también está implicada en el drenaje y la quema de turberas en el sudeste asiático. Los impactos ambientales negativos documentados de dicha expansión incluyen la disminución de la biodiversidad, las emisiones de gases de efecto invernadero y la contaminación del aire. Sin embargo, la palma aceitera generalmente produce más. aceite por área que otros cultivos oleaginosos, a menudo es económicamente viable en sitios inadecuados para la mayoría de los otros cultivos y genera una riqueza considerable para al menos algunos actores. Se proyecta que la demanda mundial de aceites vegetales aumentará en un 46% para 2050. Satisfacer esta demanda a través de una expansión adicional de la palma aceitera frente a otros cultivos de aceite vegetal conducirá a efectos diferenciales sustanciales en la biodiversidad, la seguridad alimentaria, el cambio climático, la degradación de la tierra y los medios de vida. Nuestra revisión destaca que, aunque quedan brechas sustanciales en nuestra comprensión de la relación entre los impactos ambientales, socioculturales y económicos de la palma aceitera, y el alcance, la rigurosidad y la efectividad de las iniciativas para abordarlos, ha habido poca investigación sobre los impactos y las compensaciones de otros cultivos de aceite vegetal. Se debe prestar mayor atención a la investigación para investigar los impactos de la producción de aceite de palma en comparación con las alternativas para las compensaciones que se evaluarán a escala mundial. Delivering the Sustainable Development Goals (SDGs) requires balancing demands on land between agriculture (SDG 2) and biodiversity (SDG 15).The production of vegetable oils, and in particular palm oil, illustrates these competing demands and trade-offs.Palm oil accounts for ~40% of the current global annual demand for vegetable oil as food, animal feed, and fuel (210 million tons (Mt)), but planted oil palm covers less than 5-5.5% of the total global oil crop area (ca.425 Mha), due to oil palm's relatively high yields.Recent oil palm expansion in forested regions of Borneo, Sumatra, and the Malay Peninsula, where >90% of global palm oil is produced, has led to substantial concern around oil palm's role in deforestation.Oil palm expansion's direct contribution to regional tropical deforestation varies widely, ranging from 3% in West Africa to 47% in Malaysia.Oil palm is also implicated in peatland draining and burning in Southeast Asia.Documented negative environmental impacts from such expansion include biodiversity declines, greenhouse gas emissions, and air pollution.However, oil palm generally produces more oil per area than other oil crops, is often economically viable in sites unsuitable for most other crops, and generates considerable wealth for at least some actors.Global demand for vegetable oils is projected to increase by 46% by 2050.Meeting this demand through additional expansion of oil palm versus other vegetable oil crops will lead to substantial differential effects on biodiversity, food security, climate change, land degradation, and livelihoods.Our review highlights that, although substantial gaps remain in our understanding of the relationship between the environmental, socio-cultural and economic impacts of oil palm, and the scope, stringency and effectiveness of initiatives to address these, there has been little research into the impacts and trade-offs of other vegetable oil crops.Greater research attention needs to be given to investigating the impacts of palm oil production compared to alternatives for the trade-offs to be assessed at a global scale. يتطلب تحقيق أهداف التنمية المستدامة (SDGs) موازنة الطلب على الأراضي بين الزراعة (SDG 2) والتنوع البيولوجي (SDG 15). يوضح إنتاج الزيوت النباتية، ولا سيما زيت النخيل، هذه المطالب والمقايضات المتنافسة. يمثل زيت النخيل حوالي40 ٪ من الطلب السنوي العالمي الحالي على الزيوت النباتية كغذاء وعلف حيواني ووقود (210 مليون طن متري)، لكن نخيل الزيت المزروع يغطي أقل من 5-5.5 ٪ من إجمالي مساحة محصول النفط العالمي (حوالي 425 مليون هكتار)، بسبب غلة نخيل الزيت المرتفعة نسبيًا. أدى التوسع الأخير في نخيل الزيت في مناطق الغابات في بورنيو وسومطرة وشبه جزيرة الملايو، حيث يتم إنتاج أكثر من 90 ٪ من زيت النخيل العالمي، إلى قلق كبير حول دور نخيل الزيت في إزالة الغابات. تختلف المساهمة المباشرة لتوسع نخيل الزيت في إزالة الغابات الاستوائية الإقليمية اختلافًا كبيرًا، حيث تتراوح من 3 ٪ في غرب إفريقيا إلى 47 ٪ في ماليزيا. كما يتورط نخيل الزيت في تصريف الأراضي الخثية وحرقها في جنوب شرق آسيا. وتشمل الآثار البيئية السلبية الموثقة من هذا التوسع انخفاض التنوع البيولوجي وانبعاثات غازات الدفيئة وتلوث الهواء. ومع ذلك، ينتج نخيل الزيت عمومًا المزيد من المتوقع أن يزداد الطلب العالمي على الزيوت النباتية بنسبة 46 ٪ بحلول عام 2050. وستؤدي تلبية هذا الطلب من خلال التوسع الإضافي في محاصيل نخيل الزيت مقابل محاصيل الزيوت النباتية الأخرى إلى آثار تفاضلية كبيرة على التنوع البيولوجي والأمن الغذائي وتغير المناخ وتدهور الأراضي وسبل العيش. وتسلط مراجعتنا الضوء على أنه على الرغم من استمرار وجود فجوات كبيرة في فهمنا للعلاقة بين الآثار البيئية والاجتماعية والثقافية والاقتصادية لنخيل الزيت، ونطاق وصرامة وفعالية المبادرات الرامية إلى معالجتها، إلا أنه لم يتم إجراء سوى القليل من الأبحاث حول تأثيرات ومقايضات محاصيل الزيوت النباتية الأخرى. ويلزم إيلاء اهتمام بحثي أكبر للتحقيق في آثار إنتاج زيت النخيل مقارنة ببدائل المقايضات التي سيتم تقييمها على نطاق عالمي.
CORE arrow_drop_down COREArticle . 2020License: CC BY NCFull-Text: http://gala.gre.ac.uk/id/eprint/30518/1/30518_SANTIKA_The_environmental_impacts_of_palm_oil.pdfData sources: CORECORE (RIOXX-UK Aggregator)Article . 2020License: CC BY NCFull-Text: http://gala.gre.ac.uk/id/eprint/30518/1/30518_SANTIKA_The_environmental_impacts_of_palm_oil.pdfData sources: CORE (RIOXX-UK Aggregator)EarthArXivPreprint . 2020Full-Text: https://eartharxiv.org/e69bz/downloadData sources: EarthArXivCGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2021Full-Text: https://hdl.handle.net/10568/111665Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.31223/osf.i...Article . 2020 . Peer-reviewedLicense: CC BYData sources: CrossrefUniversity of Tasmania: UTas ePrintsArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41477-020-00813-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 210 citations 210 popularity Top 1% influence Top 10% impulse Top 0.1% Powered by BIP!
more_vert CORE arrow_drop_down COREArticle . 2020License: CC BY NCFull-Text: http://gala.gre.ac.uk/id/eprint/30518/1/30518_SANTIKA_The_environmental_impacts_of_palm_oil.pdfData sources: CORECORE (RIOXX-UK Aggregator)Article . 2020License: CC BY NCFull-Text: http://gala.gre.ac.uk/id/eprint/30518/1/30518_SANTIKA_The_environmental_impacts_of_palm_oil.pdfData sources: CORE (RIOXX-UK Aggregator)EarthArXivPreprint . 2020Full-Text: https://eartharxiv.org/e69bz/downloadData sources: EarthArXivCGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2021Full-Text: https://hdl.handle.net/10568/111665Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.31223/osf.i...Article . 2020 . Peer-reviewedLicense: CC BYData sources: CrossrefUniversity of Tasmania: UTas ePrintsArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41477-020-00813-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Review , Journal 2021 Spain, Germany, Italy, Germany, Italy, France, Italy, Italy, Italy, Slovenia, Switzerland, Netherlands, Netherlands, Italy, Germany, Italy, Netherlands, Italy, Italy, Spain, India, IndiaPublisher:Elsevier BV Pasquale Borrelli; Pasquale Borrelli; Pasquale Borrelli; Artemi Cerdà; Amelie Jeanneau; Paulo Tarso Sanches de Oliveira; Jae E. Yang; Giovanni Francesco Ricci; Edouard Patault; Raquel de Castro Portes; Konstantinos Kaffas; Calogero Schillaci; Jesús Rodrigo-Comino; Marcella Biddoccu; Christine Alewell; Michele Freppaz; Shuiqing Yin; Nejc Bezak; Francis Matthews; Anna Maria De Girolamo; Diogo Noses Spinola; Francesco Gentile; Konstantinos Vantas; Diana Vieira; Ivan Lizaga Villuendas; Manuel Esteban Lucas-Borja; Nazzareno Diodato; Resham Thapa; Vasileios Syrris; Mark A. Nearing; Jamil Alexandre Ayach Anache; Gizaw Desta Gessesse; Matjaž Mikoš; Mahboobeh Kiani-Harchegani; Nigussie Haregeweyn; Laura Poggio; Dinesh Panday; Aliakbar Nazari Samani; Victoria Naipal; Hyuck Soo Kim; Cristian Valeriu Patriche; Chiyuan Miao; Markus Möller; Nikolaos Efthimiou; Andreas Gericke; Bifeng Hu; Demetrio Antonio Zema; Luigi Lombardo; Detlef Deumlich; Hongfen Teng; Laura Quijano; Peter Fiener; Changjia Li; Panos Panagos; Gunay Erpul; Jantiene Baartman; Sergio Saia; Sirio Modugno; Songchao Chen; Stephen Owusu; Mohammad Reza Rahdari; Walter W. Chen; Guangju Zhao; Cristiano Ballabio; Devraj Chalise; Mohammed Renima; Pablo Alvarez; Manuel López-Vicente; Michael Märker;doi: 10.1016/j.scitotenv.2021.146494 , 10.60692/b0wdh-tp130 , 10.5445/ir/1000131052 , 10.60692/0amdv-w9z03
pmid: 33773346
pmc: PMC8140410
handle: 20.500.14243/402430 , 10261/244934 , 2434/895913 , 20.500.12556/RUL-127272 , 11590/416222 , 11568/1115150 , 2318/2033719 , 11586/408115 , 11571/1509070
doi: 10.1016/j.scitotenv.2021.146494 , 10.60692/b0wdh-tp130 , 10.5445/ir/1000131052 , 10.60692/0amdv-w9z03
pmid: 33773346
pmc: PMC8140410
handle: 20.500.14243/402430 , 10261/244934 , 2434/895913 , 20.500.12556/RUL-127272 , 11590/416222 , 11568/1115150 , 2318/2033719 , 11586/408115 , 11571/1509070
Pour mieux comprendre l'application mondiale des modèles de prédiction de l'érosion des sols, nous avons examiné de manière approfondie la littérature de recherche pertinente évaluée par des pairs sur la modélisation de l'érosion des sols publiée entre 1994 et 2017. Nous avons cherché à identifier (i) les processus et les modèles les plus fréquemment abordés dans la littérature, (ii) les régions dans lesquelles les modèles sont principalement appliqués, (iii) les régions qui restent non traitées et pourquoi, et (iv) la fréquence des études menées pour valider/évaluer les résultats des modèles par rapport aux données mesurées. Pour mener à bien cette tâche, nous avons combiné les connaissances collectives de 67 scientifiques spécialistes de l'érosion des sols de 25 pays. La base de données résultante, intitulée « Global Applications of Soil Erosion Modelling Tracker (GASEMT) », comprend 3030 enregistrements de modélisation individuels provenant de 126 pays, englobant tous les continents (à l'exception de l'Antarctique). Sur les 8471 articles identifiés comme potentiellement pertinents, nous avons examiné 1697 articles appropriés et systématiquement évalué et transféré 42 attributs pertinents dans la base de données. Cette base de données GASEMT fournit des informations complètes sur l'état de l'art des modèles d'érosion des sols et des applications de modèles dans le monde entier. Cette base de données vise à soutenir la prochaine évaluation mondiale de l'érosion des sols par les Nations Unies basée sur les pays, en plus d'aider à éclairer les priorités de recherche sur l'érosion des sols en construisant une base pour de futures analyses ciblées et approfondies. GASEMT est une base de données open-source à la disposition de l'ensemble de la communauté des utilisateurs pour développer la recherche, corriger les erreurs et faire des extensions futures. Para comprender mejor la aplicación global de los modelos de predicción de la erosión del suelo, revisamos exhaustivamente la literatura de investigación relevante revisada por pares sobre modelos de erosión del suelo publicada entre 1994 y 2017. Nuestro objetivo fue identificar (i) los procesos y modelos abordados con mayor frecuencia en la literatura, (ii) las regiones dentro de las cuales se aplican principalmente los modelos, (iii) las regiones que permanecen sin abordar y por qué, y (iv) con qué frecuencia se realizan estudios para validar/evaluar los resultados del modelo en relación con los datos medidos. Para realizar esta tarea, combinamos el conocimiento colectivo de 67 científicos de erosión de suelos de 25 países. La base de datos resultante, denominada 'Global Applications of Soil Erosion Modelling Tracker (GASEMT)', incluye 3030 registros de modelado individuales de 126 países, que abarcan todos los continentes (excepto la Antártida). De los 8471 artículos identificados como potencialmente relevantes, revisamos 1697 artículos apropiados y evaluamos y transferimos sistemáticamente 42 atributos relevantes a la base de datos. Esta base de datos GASEMT proporciona información integral sobre el estado del arte de los modelos de erosión del suelo y las aplicaciones de modelos en todo el mundo. Esta base de datos tiene la intención de apoyar la próxima evaluación mundial de la erosión del suelo de las Naciones Unidas basada en los países, además de ayudar a informar las prioridades de investigación de la erosión del suelo mediante la creación de una base para futuros análisis específicos y en profundidad. GASEMT es una base de datos de código abierto disponible para toda la comunidad de usuarios para desarrollar investigaciones, rectificar errores y realizar futuras expansiones. To gain a better understanding of the global application of soil erosion prediction models, we comprehensively reviewed relevant peer-reviewed research literature on soil-erosion modelling published between 1994 and 2017. We aimed to identify (i) the processes and models most frequently addressed in the literature, (ii) the regions within which models are primarily applied, (iii) the regions which remain unaddressed and why, and (iv) how frequently studies are conducted to validate/evaluate model outcomes relative to measured data. To perform this task, we combined the collective knowledge of 67 soil-erosion scientists from 25 countries. The resulting database, named 'Global Applications of Soil Erosion Modelling Tracker (GASEMT)', includes 3030 individual modelling records from 126 countries, encompassing all continents (except Antarctica). Out of the 8471 articles identified as potentially relevant, we reviewed 1697 appropriate articles and systematically evaluated and transferred 42 relevant attributes into the database. This GASEMT database provides comprehensive insights into the state-of-the-art of soil- erosion models and model applications worldwide. This database intends to support the upcoming country-based United Nations global soil-erosion assessment in addition to helping to inform soil erosion research priorities by building a foundation for future targeted, in-depth analyses. GASEMT is an open-source database available to the entire user-community to develop research, rectify errors, and make future expansions. للحصول على فهم أفضل للتطبيق العالمي لنماذج التنبؤ بتآكل التربة، قمنا بمراجعة شاملة للأدبيات البحثية ذات الصلة التي استعرضها الأقران حول نمذجة تآكل التربة المنشورة بين عامي 1994 و 2017. كنا نهدف إلى تحديد (1) العمليات والنماذج التي يتم تناولها بشكل متكرر في الأدبيات، (2) المناطق التي يتم فيها تطبيق النماذج في المقام الأول، (3) المناطق التي لا تزال دون معالجة ولماذا، و (4) عدد المرات التي يتم فيها إجراء دراسات للتحقق من صحة/تقييم نتائج النموذج بالنسبة للبيانات المقاسة. لأداء هذه المهمة، جمعنا المعرفة الجماعية لـ 67 عالمًا في مجال تآكل التربة من 25 دولة. تتضمن قاعدة البيانات الناتجة، المسماة "التطبيقات العالمية لتتبع نمذجة تآكل التربة (GASEMT )"، 3030 سجل نمذجة فردي من 126 دولة، تشمل جميع القارات (باستثناء القارة القطبية الجنوبية). من بين 8471 مقالة تم تحديدها على أنها ذات صلة محتملة، قمنا بمراجعة 1697 مقالة مناسبة وقمنا بتقييم ونقل 42 سمة ذات صلة بشكل منهجي إلى قاعدة البيانات. توفر قاعدة بيانات GASEMT هذه رؤى شاملة حول أحدث نماذج تآكل التربة وتطبيقات النماذج في جميع أنحاء العالم. تهدف قاعدة البيانات هذه إلى دعم التقييم العالمي المقبل لتآكل التربة الذي تجريه الأمم المتحدة على المستوى القطري بالإضافة إلى المساعدة في توجيه أولويات أبحاث تآكل التربة من خلال بناء أساس للتحليلات المتعمقة المستهدفة في المستقبل. GASEMT هي قاعدة بيانات مفتوحة المصدر متاحة لمجتمع المستخدمين بأكمله لتطوير البحث وتصحيح الأخطاء وإجراء التوسعات المستقبلية.
IRIS Cnr arrow_drop_down Archivio della Ricerca - Università di PisaArticle . 2021License: CC BYData sources: Archivio della Ricerca - Università di PisaNormandie Université: HALArticle . 2021Full-Text: https://hal.inrae.fr/hal-03481665Data sources: Bielefeld Academic Search Engine (BASE)Università degli Studi di Bari Aldo Moro: CINECA IRISArticle . 2021Full-Text: https://hdl.handle.net/11586/408115Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2021Full-Text: https://hal.inrae.fr/hal-03481665Data sources: Bielefeld Academic Search Engine (BASE)The Science of The Total EnvironmentArticle . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2021 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAThe Science of The Total EnvironmentReview . 2021Data sources: University of Twente Research InformationRepositorio da Universidade da CoruñaArticle . 2021License: CC BYData sources: Repositorio da Universidade da CoruñaRepository of the University of LjubljanaArticle . 2021Data sources: Repository of the University of LjubljanaWageningen Staff PublicationsArticle . 2021License: CC BYData sources: Wageningen Staff PublicationsInstitut National de la Recherche Agronomique: ProdINRAArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Archivio della Ricerca - Università degli Studi Roma TreArticle . 2021Data sources: Archivio della Ricerca - Università degli Studi Roma TreIRIS UNIPV (Università degli studi di Pavia)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.scitotenv.2021.146494&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 445 citations 445 popularity Top 0.1% influence Top 1% impulse Top 0.01% Powered by BIP!
visibility 49visibility views 49 download downloads 126 Powered bymore_vert IRIS Cnr arrow_drop_down Archivio della Ricerca - Università di PisaArticle . 2021License: CC BYData sources: Archivio della Ricerca - Università di PisaNormandie Université: HALArticle . 2021Full-Text: https://hal.inrae.fr/hal-03481665Data sources: Bielefeld Academic Search Engine (BASE)Università degli Studi di Bari Aldo Moro: CINECA IRISArticle . 2021Full-Text: https://hdl.handle.net/11586/408115Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2021Full-Text: https://hal.inrae.fr/hal-03481665Data sources: Bielefeld Academic Search Engine (BASE)The Science of The Total EnvironmentArticle . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2021 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAThe Science of The Total EnvironmentReview . 2021Data sources: University of Twente Research InformationRepositorio da Universidade da CoruñaArticle . 2021License: CC BYData sources: Repositorio da Universidade da CoruñaRepository of the University of LjubljanaArticle . 2021Data sources: Repository of the University of LjubljanaWageningen Staff PublicationsArticle . 2021License: CC BYData sources: Wageningen Staff PublicationsInstitut National de la Recherche Agronomique: ProdINRAArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Archivio della Ricerca - Università degli Studi Roma TreArticle . 2021Data sources: Archivio della Ricerca - Università degli Studi Roma TreIRIS UNIPV (Università degli studi di Pavia)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.scitotenv.2021.146494&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type , Research , Preprint 2013 Italy, GermanyPublisher:Elsevier BV Funded by:EC | WIOD, EC | ENTRACTE, EC | ICARUSEC| WIOD ,EC| ENTRACTE ,EC| ICARUSMichael Schymura; Enrica De Cian; Enrica De Cian; Sebastian Voigt; Elena Verdolini;handle: 10278/3695705 , 11379/513977
This study analyzes energy intensity trends and drivers in 40 major economies using the WIOD database, a novel harmonized and consistent dataset of input-output table time series accompanied by environmental satellite data. We use logarithmic mean Divisia index decomposition to (1) study trends in global energy intensity between 1995 and 2007, (2) attribute efficiency changes to either changes in technology or changes in the structure of the economy, and (3) highlight sectoral and regional differences. We first show that heterogeneity within each sector across countries is high. These general trends within the sectors are dominated by large economies, first and foremost the United States. In most cases, heterogeneity is lower within each country across the different sectors. Regarding changes of energy intensity at the country level, improvements between 1995 and 2007 are largely attributable to technological change while structural change is less important in most countries. Notable exceptions are Japan, the United States, Australia, Taiwan, Mexico and Brazil where a change in the industry mix was the main driver behind the observed energy intensity reduction.
MAnnheim DOCument Se... arrow_drop_down http://dx.doi.org/10.1016/j.en...Other literature typeData sources: European Union Open Data PortalAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.eneco.2013.10.015&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu358 citations 358 popularity Top 0.1% influence Top 1% impulse Top 1% Powered by BIP!
more_vert MAnnheim DOCument Se... arrow_drop_down http://dx.doi.org/10.1016/j.en...Other literature typeData sources: European Union Open Data PortalAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.eneco.2013.10.015&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Review , Journal 2021 Norway, Australia, Denmark, Norway, Austria, United States, Germany, United Kingdom, United KingdomPublisher:IOP Publishing Funded by:EC | MAT_STOCKSEC| MAT_STOCKSWilliam F. Lamb; Thomas Wiedmann; Julia Pongratz; Robbie M. Andrew; Monica Crippa; J. G. J. Olivier; Dominik Wiedenhofer; Giulio Mattioli; Alaa Al Khourdajie; Joanna I. House; Shonali Pachauri; María Figueroa; Yamina Saheb; Raphael Slade; Klaus Hubacek; Laixiang Sun; Suzana Kahn Ribeiro; Smail Khennas; Stéphane de la Rue du Can; Lazarus Chapungu; Steven J. Davis; I. A. Bashmakov; Hancheng Dai; Shobhakar Dhakal; Xianjun Tan; Yong Geng; Baihe Gu; Jan C. Minx;AbstractGlobal greenhouse gas (GHG) emissions can be traced to five economic sectors: energy, industry, buildings, transport and AFOLU (agriculture, forestry and other land uses). In this topical review, we synthesise the literature to explain recent trends in global and regional emissions in each of these sectors. To contextualise our review, we present estimates of GHG emissions trends by sector from 1990 to 2018, describing the major sources of emissions growth, stability and decline across ten global regions. Overall, the literature and data emphasise that progress towards reducing GHG emissions has been limited. The prominent global pattern is a continuation of underlying drivers with few signs of emerging limits to demand, nor of a deep shift towards the delivery of low and zero carbon services across sectors. We observe a moderate decarbonisation of energy systems in Europe and North America, driven by fuel switching and the increasing penetration of renewables. By contrast, in rapidly industrialising regions, fossil-based energy systems have continuously expanded, only very recently slowing down in their growth. Strong demand for materials, floor area, energy services and travel have driven emissions growth in the industry, buildings and transport sectors, particularly in Eastern Asia, Southern Asia and South-East Asia. An expansion of agriculture into carbon-dense tropical forest areas has driven recent increases in AFOLU emissions in Latin America, South-East Asia and Africa. Identifying, understanding, and tackling the most persistent and climate-damaging trends across sectors is a fundamental concern for research and policy as humanity treads deeper into the Anthropocene.
University of Califo... arrow_drop_down University of California: eScholarshipArticle . 2021License: CC BY NCFull-Text: https://escholarship.org/uc/item/53r1q6x4Data sources: Bielefeld Academic Search Engine (BASE)UNSWorksArticle . 2021License: CC BY NC NDFull-Text: http://hdl.handle.net/1959.4/unsworks_76669Data sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2021License: CC BYFull-Text: http://hdl.handle.net/10044/1/90455Data sources: Bielefeld Academic Search Engine (BASE)Environmental Research LettersReview . 2021License: CC BYData sources: University of Groningen Research PortalSpiral - Imperial College Digital RepositoryArticle . 2021License: CC BYData sources: Spiral - Imperial College Digital RepositoryeScholarship - University of CaliforniaArticle . 2021Data sources: eScholarship - University of CaliforniaEnvironmental Research LettersArticle . 2021 . Peer-reviewedData sources: European Union Open Data PortalUniversity of Bristol: Bristol ResearchArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/abee4e&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 698 citations 698 popularity Top 0.1% influence Top 1% impulse Top 0.01% Powered by BIP!
visibility 1visibility views 1 download downloads 55 Powered bymore_vert University of Califo... arrow_drop_down University of California: eScholarshipArticle . 2021License: CC BY NCFull-Text: https://escholarship.org/uc/item/53r1q6x4Data sources: Bielefeld Academic Search Engine (BASE)UNSWorksArticle . 2021License: CC BY NC NDFull-Text: http://hdl.handle.net/1959.4/unsworks_76669Data sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2021License: CC BYFull-Text: http://hdl.handle.net/10044/1/90455Data sources: Bielefeld Academic Search Engine (BASE)Environmental Research LettersReview . 2021License: CC BYData sources: University of Groningen Research PortalSpiral - Imperial College Digital RepositoryArticle . 2021License: CC BYData sources: Spiral - Imperial College Digital RepositoryeScholarship - University of CaliforniaArticle . 2021Data sources: eScholarship - University of CaliforniaEnvironmental Research LettersArticle . 2021 . Peer-reviewedData sources: European Union Open Data PortalUniversity of Bristol: Bristol ResearchArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/abee4e&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2023 Germany, Austria, Netherlands, GermanyPublisher:Springer Science and Business Media LLC Funded by:EC | ENGAGE, EC | ECEMFEC| ENGAGE ,EC| ECEMFMark M. Dekker; Vassilis Daioglou; Robert Pietzcker; Renato Rodrigues; Harmen-Sytze de Boer; Francesco Dalla Longa; Laurent Drouet; Johannes Emmerling; Amir Fattahi; Theofano Fotiou; Panagiotis Fragkos; Oliver Fricko; Ema Gusheva; Mathijs Harmsen; Daniel Huppmann; Maria Kannavou; Volker Krey; Francesco Lombardi; Gunnar Luderer; Stefan Pfenninger; Ioannis Tsiropoulos; Behnam Zakeri; Bob van der Zwaan; Will Usher; Detlef van Vuuren;AbstractEnergy models are used to study emissions mitigation pathways, such as those compatible with the Paris Agreement goals. These models vary in structure, objectives, parameterization and level of detail, yielding differences in the computed energy and climate policy scenarios. To study model differences, diagnostic indicators are common practice in many academic fields, for example, in the physical climate sciences. However, they have not yet been applied systematically in mitigation literature, beyond addressing individual model dimensions. Here we address this gap by quantifying energy model typology along five dimensions: responsiveness, mitigation strategies, energy supply, energy demand and mitigation costs and effort, each expressed through several diagnostic indicators. The framework is applied to a diagnostic experiment with eight energy models in which we explore ten scenarios focusing on Europe. Comparing indicators to the ensemble yields comprehensive ‘energy model fingerprints’, which describe systematic model behaviour and contextualize model differences for future multi-model comparison studies.
IIASA PURE arrow_drop_down Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2023License: CC BYData sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.21203/rs.3....Article . 2023 . Peer-reviewedLicense: CC BYData sources: CrossrefNature EnergyArticle . 2023License: CC BYData sources: Universiteit van Amsterdam Digital Academic RepositoryUniversiteit van Amsterdam: Digital Academic Repository (UvA DARE)Article . 2023Data sources: Bielefeld Academic Search Engine (BASE)Delft University of Technology: Institutional RepositoryArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41560-023-01399-1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 20 citations 20 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
visibility 7visibility views 7 download downloads 2 Powered bymore_vert IIASA PURE arrow_drop_down Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2023License: CC BYData sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.21203/rs.3....Article . 2023 . Peer-reviewedLicense: CC BYData sources: CrossrefNature EnergyArticle . 2023License: CC BYData sources: Universiteit van Amsterdam Digital Academic RepositoryUniversiteit van Amsterdam: Digital Academic Repository (UvA DARE)Article . 2023Data sources: Bielefeld Academic Search Engine (BASE)Delft University of Technology: Institutional RepositoryArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41560-023-01399-1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022Embargo end date: 01 Jan 2023 Finland, Switzerland, Czech Republic, Switzerland, Czech RepublicPublisher:Springer Science and Business Media LLC Funded by:EC | XAIDA, EC | ATTACHEC| XAIDA ,EC| ATTACHSamuel Lüthi; Christopher Fairless; Erich Fischer; Noah Scovronick; Ben Armstrong; Micheline Coelho; Yue Leon Guo; Yuming Guo; Yasushi Honda; Veronika Huber; Jan Kyselý; Eric Lavigne; Dominic Roye; Niilo Ryti; Susana Pereira da Silva; Aleš Urban; Antonio Gasparrini; David Bresch; Ana Vicedo-Cabrera;AbstractHeat-related mortality has been identified as one of the key climate extremes posing a risk to human health. Current research focuses largely on how heat mortality increases with mean global temperature rise, but it is unclear how much climate change will increase the frequency and severity of extreme summer seasons with high impact on human health. In this probabilistic analysis, we combined empirical heat-mortality relationships for 748 locations from 47 countries with climate model large ensemble data to identify probable past and future highly impactful summer seasons. Across most locations, heat mortality counts of a 1-in-100 year season in the climate of 2000 would be expected once every ten to twenty years in the climate of 2020. These return periods are projected to further shorten under warming levels of 1.5 °C and 2 °C, where heat-mortality extremes of the past climate will eventually become commonplace if no adaptation occurs. Our findings highlight the urgent need for strong mitigation and adaptation to reduce impacts on human lives.
Bern Open Repository... arrow_drop_down Bern Open Repository and Information System (BORIS)Article . 2023 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)https://doi.org/10.21203/rs.3....Article . 2022 . Peer-reviewedLicense: CC BYData sources: CrossrefUniversity of Oulu Repository - JultikaArticle . 2023Data sources: University of Oulu Repository - JultikaRepository of the Czech Academy of SciencesArticle . 2023Data sources: Repository of the Czech Academy of SciencesAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41467-023-40599-x&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu81 citations 81 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Bern Open Repository... arrow_drop_down Bern Open Repository and Information System (BORIS)Article . 2023 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)https://doi.org/10.21203/rs.3....Article . 2022 . Peer-reviewedLicense: CC BYData sources: CrossrefUniversity of Oulu Repository - JultikaArticle . 2023Data sources: University of Oulu Repository - JultikaRepository of the Czech Academy of SciencesArticle . 2023Data sources: Repository of the Czech Academy of SciencesAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41467-023-40599-x&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Journal 2018 United States, United States, Australia, Italy, France, Australia, Australia, United States, AustraliaPublisher:American Association for the Advancement of Science (AAAS) Funded by:DFGDFGAndrew Pomeroy; Andrew Pomeroy; Elisa Casella; Valeriano Parravicini; Antoine Collin; Antoine Collin; Rémy Canavesio; Daniel L. Harris; Daniel L. Harris; Jody M. Webster; Alessio Rovere; Hannah E. Power;If coral reefs continue to degrade, waves on coastlines may substantially increase, leading to greater coastal erosion.
Archivio istituziona... arrow_drop_down Archivio istituzionale della ricerca - Università degli Studi di Venezia Ca' FoscariArticle . 2018License: CC BY NCUniversité de Bretagne Occidentale: HALArticle . 2018License: CC BY NCFull-Text: https://hal.science/hal-01724281Data sources: Bielefeld Academic Search Engine (BASE)Archive Ouverte de l'Université Rennes (HAL)Article . 2018License: CC BY NCFull-Text: https://hal.science/hal-01724281Data sources: Bielefeld Academic Search Engine (BASE)The University of Melbourne: Digital RepositoryArticle . 2018License: CC BY NCFull-Text: http://hdl.handle.net/11343/273103Data sources: Bielefeld Academic Search Engine (BASE)Université de Nantes: HAL-UNIV-NANTESArticle . 2018License: CC BY NCFull-Text: https://hal.science/hal-01724281Data sources: Bielefeld Academic Search Engine (BASE)Columbia University Academic CommonsArticle . 2018Full-Text: https://doi.org/10.7916/D8F77VN0Data sources: Bielefeld Academic Search Engine (BASE)Normandie Université: HALArticle . 2018License: CC BY NCFull-Text: https://hal.science/hal-01724281Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2018License: CC BY NCFull-Text: https://hal.science/hal-01724281Data sources: Bielefeld Academic Search Engine (BASE)Fachrepositorium LebenswissenschaftenArticle . 2018License: CC BY NCData sources: Fachrepositorium LebenswissenschaftenINRIA a CCSD electronic archive serverArticle . 2018Data sources: INRIA a CCSD electronic archive serverThe University of Queensland: UQ eSpaceArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1126/sciadv.aao4350&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu168 citations 168 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Archivio istituziona... arrow_drop_down Archivio istituzionale della ricerca - Università degli Studi di Venezia Ca' FoscariArticle . 2018License: CC BY NCUniversité de Bretagne Occidentale: HALArticle . 2018License: CC BY NCFull-Text: https://hal.science/hal-01724281Data sources: Bielefeld Academic Search Engine (BASE)Archive Ouverte de l'Université Rennes (HAL)Article . 2018License: CC BY NCFull-Text: https://hal.science/hal-01724281Data sources: Bielefeld Academic Search Engine (BASE)The University of Melbourne: Digital RepositoryArticle . 2018License: CC BY NCFull-Text: http://hdl.handle.net/11343/273103Data sources: Bielefeld Academic Search Engine (BASE)Université de Nantes: HAL-UNIV-NANTESArticle . 2018License: CC BY NCFull-Text: https://hal.science/hal-01724281Data sources: Bielefeld Academic Search Engine (BASE)Columbia University Academic CommonsArticle . 2018Full-Text: https://doi.org/10.7916/D8F77VN0Data sources: Bielefeld Academic Search Engine (BASE)Normandie Université: HALArticle . 2018License: CC BY NCFull-Text: https://hal.science/hal-01724281Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2018License: CC BY NCFull-Text: https://hal.science/hal-01724281Data sources: Bielefeld Academic Search Engine (BASE)Fachrepositorium LebenswissenschaftenArticle . 2018License: CC BY NCData sources: Fachrepositorium LebenswissenschaftenINRIA a CCSD electronic archive serverArticle . 2018Data sources: INRIA a CCSD electronic archive serverThe University of Queensland: UQ eSpaceArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1126/sciadv.aao4350&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2023 France, France, Austria, France, United Kingdom, FinlandPublisher:Springer Science and Business Media LLC Publicly fundedFunded by:ARC | Discovery Projects - Gran...ARC| Discovery Projects - Grant ID: DP200102542Budiman Minasny; Diana Vigah Adetsu; Matt Aitkenhead; Rebekka Artz; Nikki Baggaley; Alexandra Barthelmes; Amélie Beucher; Jean Caron; Giulia Conchedda; John Connolly; Raphaël Deragon; Chris Evans; Kjetil Damsberg Fadnes; Dian Fiantis; Zisis Gagkas; Louis Gilet; Alessandro Gimona; Stephan Glatzel; Mogens H. Greve; Wahaj Habib; Kristell Hergoualc'h; Cecilie Hermansen; Darren Kidd; Triven Koganti; Dianna Kopansky; David J. Large; Tuula Larmola; A. Lilly; Haojie Liu; Matthew A. Marcus; Maarit Middleton; Keith Morrison; Rasmus Jes Petersen; Tristan Quaife; Line Rochefort; . Rudiyanto; Linda Toca; Francesco N. Tubiello; Peter Lystbæk Weber; Simon Weldon; Wirastuti Widyatmanti; Jenny Williamson; Dominik Zak;handle: 10568/135828
AbstractPeatlands cover only 3–4% of the Earth’s surface, but they store nearly 30% of global soil carbon stock. This significant carbon store is under threat as peatlands continue to be degraded at alarming rates around the world. It has prompted countries worldwide to establish regulations to conserve and reduce emissions from this carbon rich ecosystem. For example, the EU has implemented new rules that mandate sustainable management of peatlands, critical to reaching the goal of carbon neutrality by 2050. However, a lack of information on the extent and condition of peatlands has hindered the development of national policies and restoration efforts. This paper reviews the current state of knowledge on mapping and monitoring peatlands from field sites to the globe and identifies areas where further research is needed. It presents an overview of the different methodologies used to map peatlands in nine countries, which vary in definition of peat soil and peatland, mapping coverage, and mapping detail. Whereas mapping peatlands across the world with only one approach is hardly possible, the paper highlights the need for more consistent approaches within regions having comparable peatland types and climates to inform their protection and urgent restoration. The review further summarises various approaches used for monitoring peatland conditions and functions. These include monitoring at the plot scale for degree of humification and stoichiometric ratio, and proximal sensing such as gamma radiometrics and electromagnetic induction at the field to landscape scale for mapping peat thickness and identifying hotspots for greenhouse gas (GHG) emissions. Remote sensing techniques with passive and active sensors at regional to national scale can help in monitoring subsidence rate, water table, peat moisture, landslides, and GHG emissions. Although the use of water table depth as a proxy for interannual GHG emissions from peatlands has been well established, there is no single remote sensing method or data product yet that has been verified beyond local or regional scales. Broader land-use change and fire monitoring at a global scale may further assist national GHG inventory reporting. Monitoring of peatland conditions to evaluate the success of individual restoration schemes still requires field work to assess local proxies combined with remote sensing and modeling. Long-term monitoring is necessary to draw valid conclusions on revegetation outcomes and associated GHG emissions in rewetted peatlands, as their dynamics are not fully understood at the site level. Monitoring vegetation development and hydrology of restored peatlands is needed as a proxy to assess the return of water and changes in nutrient cycling and biodiversity.
NERC Open Research A... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2023License: CC BYFull-Text: https://hdl.handle.net/10568/135828Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2023License: CC BYData sources: Bielefeld Academic Search Engine (BASE)All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s10533-023-01084-1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 39 citations 39 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!
more_vert NERC Open Research A... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2023License: CC BYFull-Text: https://hdl.handle.net/10568/135828Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2023License: CC BYData sources: Bielefeld Academic Search Engine (BASE)All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s10533-023-01084-1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2016 FrancePublisher:Springer Science and Business Media LLC I. Thormann; P. Reeves; S. Thumm; A. Reilley; J. M. M. Engels; C. M. Biradar; U. Lohwasser; A. Börner; K. Pillen; C. M. Richards;handle: 10568/77066
Climate change and other anthropogenic disturbances can lead to the loss of genetic variation and thereby affect evolutionary potential and survival of plant populations in the wild. We examined these predictions in the primary wild relative of barley, Hordeum vulgare L. subsp. spontaneum (K. Koch) Thell., within its center of diversity, in Jordan. Changes in genotypic and phenotypic diversity were assessed using seed samples collected in 1981 and 2012 from the same 18 sites across Jordan. The overall population structure was conserved, but we observed an increase of within population genetic diversity and a reduction in population differentiation. Phenotypic variation differed among years and sites but the magnitude and direction of change variated among sites. While the sampled region became significantly hotter and drier during this period, simple correlation models did not support association between measures of climate change and the observed genetic and phenotypic changes. Agricultural activities that promote disturbance and demographic fluctuations may affect crop wild relatives that grow in agricultural landscapes, in unexpected ways. The observed increase in genetic diversity within populations might be explained by increased migration or by an advantage of increased genetic variation in the face of variable environmental conditions. This study provides a new perspective on the range of possible responses of crop wild relatives to environmental pressures.
CGIAR CGSpace (Consu... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2016Full-Text: https://hdl.handle.net/10568/77066Data sources: Bielefeld Academic Search Engine (BASE)Genetic Resources and Crop EvolutionArticle . 2016 . Peer-reviewedLicense: Springer TDMData sources: CrossrefAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s10722-016-0437-5&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 19 citations 19 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert CGIAR CGSpace (Consu... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2016Full-Text: https://hdl.handle.net/10568/77066Data sources: Bielefeld Academic Search Engine (BASE)Genetic Resources and Crop EvolutionArticle . 2016 . Peer-reviewedLicense: Springer TDMData sources: CrossrefAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s10722-016-0437-5&type=result"></script>'); --> </script>
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description Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2021Embargo end date: 28 Mar 2023 Italy, GermanyPublisher:Springer Science and Business Media LLC Authors: Bester Tawona Mudereri; Bester Tawona Mudereri; Amsalu Woldie Yalew; Amsalu Woldie Yalew; +3 AuthorsBester Tawona Mudereri; Bester Tawona Mudereri; Amsalu Woldie Yalew; Amsalu Woldie Yalew; Christoph Gornott; Christoph Gornott; Abel Chemura;AbstractCurrent climate change impact studies on coffee have not considered impact on coffee typicities that depend on local microclimatic, topographic and soil characteristics. Thus, this study aims to provide a quantitative risk assessment of the impact of climate change on suitability of five premium specialty coffees in Ethiopia. We implement an ensemble model of three machine learning algorithms to predict current and future (2030s, 2050s, 2070s, and 2090s) suitability for each specialty coffee under four Shared Socio-economic Pathways (SSPs). Results show that the importance of variables determining coffee suitability in the combined model is different from those for specialty coffees despite the climatic factors remaining more important in determining suitability than topographic and soil variables. Our model predicts that 27% of the country is generally suitable for coffee, and of this area, only up to 30% is suitable for specialty coffees. The impact modelling showed that the combined model projects a net gain in coffee production suitability under climate change in general but losses in five out of the six modelled specialty coffee growing areas. We conclude that depending on drivers of suitability and projected impacts, climate change will significantly affect the Ethiopian speciality coffee sector and area-specific adaptation measures are required to build resilience.
Publication Database... arrow_drop_down Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41598-021-87647-4&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 55 citations 55 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Publication Database... arrow_drop_down Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41598-021-87647-4&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal , Preprint 2020 Australia, France, Australia, France, Singapore, NetherlandsPublisher:Springer Science and Business Media LLC Funded by:UKRI | GCRF Trade, Development a...UKRI| GCRF Trade, Development and the Environment HubZoltan Szantoi; Nicholas B.W. Macfarlane; Truly Santika; Serge A. Wich; Serge A. Wich; Eleanor M. Slade; Janice Ser Huay Lee; Nadine Zamira; Kimberly M. Carlson; Erik Meijaard; Erik Meijaard; Matthew J. Struebig; Jesse F. Abrams; Jesse F. Abrams; David L. A. Gaveau; Douglas Sheil; Marcos Persio; John Garcia-Ulloa; Diego Juffe-Bignoli; Diego Juffe-Bignoli; Cyriaque N. Sendashonga; Rachel Hoffmann; Adrià Descals; Lian Pin Koh; Herbert H. T. Prins; Marc Ancrenaz; Paul R. Furumo; Daniel Murdiyarso; Daniel Murdiyarso; Thomas M. Brooks; Thomas M. Brooks; Thomas M. Brooks;doi: 10.1038/s41477-020-00813-w , 10.31223/osf.io/e69bz , 10.60692/br7zp-6vw56 , 10.60692/qh8t8-60v73
pmid: 33299148
handle: 10568/111665
doi: 10.1038/s41477-020-00813-w , 10.31223/osf.io/e69bz , 10.60692/br7zp-6vw56 , 10.60692/qh8t8-60v73
pmid: 33299148
handle: 10568/111665
La réalisation des objectifs de développement durable (ODD) nécessite d'équilibrer les demandes en terres entre l'agriculture (ODD 2) et la biodiversité (ODD 15).La production d'huiles végétales, et en particulier d'huile de palme, illustre ces demandes concurrentes et ces compromis.L' huile de palme représente ~40 % de la demande annuelle mondiale actuelle d'huile végétale pour l'alimentation humaine, animale et pour le carburant (210 millions de tonnes (Mt)), mais le palmier à huile planté couvre moins de 5 à 5,5 % de la superficie totale des cultures oléagineuses mondiales (environ 425 Mha), en raison des rendements relativement élevés du palmier à huile.L' expansion récente du palmier à huile dans les régions boisées de Bornéo, de Sumatra et de la péninsule malaise, où plus de 90 % de l'huile de palme mondiale est produite, a suscité de vives inquiétudes quant au rôle du palmier à huile dans la déforestation.La contribution directe de l'expansion du palmier à huile à la déforestation tropicale régionale varie considérablement, allant de 3 % en Afrique de l'Ouest à 47 % en Malaisie.Le palmier à huile est également impliqué dans le drainage et la combustion des tourbières en Asie du Sud-Est.Les impacts environnementaux négatifs documentés d'une telle expansion comprennent le déclin de la biodiversité, les émissions de gaz à effet de serre et la pollution atmosphérique.Toutefois, le palmier à huile produit généralement plus l'huile par superficie par rapport aux autres cultures oléagineuses, est souvent économiquement viable sur des sites inadaptés à la plupart des autres cultures, et génère une richesse considérable pour au moins certains acteurs. La demande mondiale d'huiles végétales devrait augmenter de 46 % d'ici 2050. Répondre à cette demande par une expansion supplémentaire du palmier à huile par rapport à d'autres cultures d'huile végétale entraînera des effets différentiels substantiels sur la biodiversité, la sécurité alimentaire, le changement climatique, la dégradation des terres et les moyens de subsistance. Notre examen souligne que, bien que des lacunes importantes subsistent dans notre compréhension de la relation entre les impacts environnementaux, socioculturels et économiques du palmier à huile, et la portée, la rigueur et l'efficacité des initiatives visant à y remédier, il y a eu peu de recherches sur les impacts et les compromis des autres cultures d'huile végétale. Une plus grande attention de la recherche doit être accordée à l'étude des impacts de la production d'huile de palme par rapport aux alternatives pour les compromis à évaluer à l'échelle mondiale. El cumplimiento de los Objetivos de Desarrollo Sostenible (ODS) requiere equilibrar las demandas de tierras entre la agricultura (ODS 2) y la biodiversidad (ODS 15). La producción de aceites vegetales, y en particular el aceite de palma, ilustra estas demandas y compensaciones competitivas. El aceite de palma representa aproximadamente el 40% de la demanda anual mundial actual de aceite vegetal como alimento, pienso y combustible (210 millones de toneladas (Mt)), pero la palma aceitera plantada cubre menos del 5-5,5% del área total de cultivos oleaginosos mundiales (aprox. 425 Mha). debido a los rendimientos relativamente altos de la palma aceitera. La reciente expansión de la palma aceitera en las regiones boscosas de Borneo, Sumatra y la Península Malaya, donde se produce más del 90% del aceite de palma mundial, ha generado una preocupación sustancial sobre el papel de la palma aceitera en la deforestación. La contribución directa de la expansión de la palma aceitera a la deforestación tropical regional varía ampliamente, desde el 3% en África occidental hasta el 47% en Malasia. La palma aceitera también está implicada en el drenaje y la quema de turberas en el sudeste asiático. Los impactos ambientales negativos documentados de dicha expansión incluyen la disminución de la biodiversidad, las emisiones de gases de efecto invernadero y la contaminación del aire. Sin embargo, la palma aceitera generalmente produce más. aceite por área que otros cultivos oleaginosos, a menudo es económicamente viable en sitios inadecuados para la mayoría de los otros cultivos y genera una riqueza considerable para al menos algunos actores. Se proyecta que la demanda mundial de aceites vegetales aumentará en un 46% para 2050. Satisfacer esta demanda a través de una expansión adicional de la palma aceitera frente a otros cultivos de aceite vegetal conducirá a efectos diferenciales sustanciales en la biodiversidad, la seguridad alimentaria, el cambio climático, la degradación de la tierra y los medios de vida. Nuestra revisión destaca que, aunque quedan brechas sustanciales en nuestra comprensión de la relación entre los impactos ambientales, socioculturales y económicos de la palma aceitera, y el alcance, la rigurosidad y la efectividad de las iniciativas para abordarlos, ha habido poca investigación sobre los impactos y las compensaciones de otros cultivos de aceite vegetal. Se debe prestar mayor atención a la investigación para investigar los impactos de la producción de aceite de palma en comparación con las alternativas para las compensaciones que se evaluarán a escala mundial. Delivering the Sustainable Development Goals (SDGs) requires balancing demands on land between agriculture (SDG 2) and biodiversity (SDG 15).The production of vegetable oils, and in particular palm oil, illustrates these competing demands and trade-offs.Palm oil accounts for ~40% of the current global annual demand for vegetable oil as food, animal feed, and fuel (210 million tons (Mt)), but planted oil palm covers less than 5-5.5% of the total global oil crop area (ca.425 Mha), due to oil palm's relatively high yields.Recent oil palm expansion in forested regions of Borneo, Sumatra, and the Malay Peninsula, where >90% of global palm oil is produced, has led to substantial concern around oil palm's role in deforestation.Oil palm expansion's direct contribution to regional tropical deforestation varies widely, ranging from 3% in West Africa to 47% in Malaysia.Oil palm is also implicated in peatland draining and burning in Southeast Asia.Documented negative environmental impacts from such expansion include biodiversity declines, greenhouse gas emissions, and air pollution.However, oil palm generally produces more oil per area than other oil crops, is often economically viable in sites unsuitable for most other crops, and generates considerable wealth for at least some actors.Global demand for vegetable oils is projected to increase by 46% by 2050.Meeting this demand through additional expansion of oil palm versus other vegetable oil crops will lead to substantial differential effects on biodiversity, food security, climate change, land degradation, and livelihoods.Our review highlights that, although substantial gaps remain in our understanding of the relationship between the environmental, socio-cultural and economic impacts of oil palm, and the scope, stringency and effectiveness of initiatives to address these, there has been little research into the impacts and trade-offs of other vegetable oil crops.Greater research attention needs to be given to investigating the impacts of palm oil production compared to alternatives for the trade-offs to be assessed at a global scale. يتطلب تحقيق أهداف التنمية المستدامة (SDGs) موازنة الطلب على الأراضي بين الزراعة (SDG 2) والتنوع البيولوجي (SDG 15). يوضح إنتاج الزيوت النباتية، ولا سيما زيت النخيل، هذه المطالب والمقايضات المتنافسة. يمثل زيت النخيل حوالي40 ٪ من الطلب السنوي العالمي الحالي على الزيوت النباتية كغذاء وعلف حيواني ووقود (210 مليون طن متري)، لكن نخيل الزيت المزروع يغطي أقل من 5-5.5 ٪ من إجمالي مساحة محصول النفط العالمي (حوالي 425 مليون هكتار)، بسبب غلة نخيل الزيت المرتفعة نسبيًا. أدى التوسع الأخير في نخيل الزيت في مناطق الغابات في بورنيو وسومطرة وشبه جزيرة الملايو، حيث يتم إنتاج أكثر من 90 ٪ من زيت النخيل العالمي، إلى قلق كبير حول دور نخيل الزيت في إزالة الغابات. تختلف المساهمة المباشرة لتوسع نخيل الزيت في إزالة الغابات الاستوائية الإقليمية اختلافًا كبيرًا، حيث تتراوح من 3 ٪ في غرب إفريقيا إلى 47 ٪ في ماليزيا. كما يتورط نخيل الزيت في تصريف الأراضي الخثية وحرقها في جنوب شرق آسيا. وتشمل الآثار البيئية السلبية الموثقة من هذا التوسع انخفاض التنوع البيولوجي وانبعاثات غازات الدفيئة وتلوث الهواء. ومع ذلك، ينتج نخيل الزيت عمومًا المزيد من المتوقع أن يزداد الطلب العالمي على الزيوت النباتية بنسبة 46 ٪ بحلول عام 2050. وستؤدي تلبية هذا الطلب من خلال التوسع الإضافي في محاصيل نخيل الزيت مقابل محاصيل الزيوت النباتية الأخرى إلى آثار تفاضلية كبيرة على التنوع البيولوجي والأمن الغذائي وتغير المناخ وتدهور الأراضي وسبل العيش. وتسلط مراجعتنا الضوء على أنه على الرغم من استمرار وجود فجوات كبيرة في فهمنا للعلاقة بين الآثار البيئية والاجتماعية والثقافية والاقتصادية لنخيل الزيت، ونطاق وصرامة وفعالية المبادرات الرامية إلى معالجتها، إلا أنه لم يتم إجراء سوى القليل من الأبحاث حول تأثيرات ومقايضات محاصيل الزيوت النباتية الأخرى. ويلزم إيلاء اهتمام بحثي أكبر للتحقيق في آثار إنتاج زيت النخيل مقارنة ببدائل المقايضات التي سيتم تقييمها على نطاق عالمي.
CORE arrow_drop_down COREArticle . 2020License: CC BY NCFull-Text: http://gala.gre.ac.uk/id/eprint/30518/1/30518_SANTIKA_The_environmental_impacts_of_palm_oil.pdfData sources: CORECORE (RIOXX-UK Aggregator)Article . 2020License: CC BY NCFull-Text: http://gala.gre.ac.uk/id/eprint/30518/1/30518_SANTIKA_The_environmental_impacts_of_palm_oil.pdfData sources: CORE (RIOXX-UK Aggregator)EarthArXivPreprint . 2020Full-Text: https://eartharxiv.org/e69bz/downloadData sources: EarthArXivCGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2021Full-Text: https://hdl.handle.net/10568/111665Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.31223/osf.i...Article . 2020 . Peer-reviewedLicense: CC BYData sources: CrossrefUniversity of Tasmania: UTas ePrintsArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41477-020-00813-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 210 citations 210 popularity Top 1% influence Top 10% impulse Top 0.1% Powered by BIP!
more_vert CORE arrow_drop_down COREArticle . 2020License: CC BY NCFull-Text: http://gala.gre.ac.uk/id/eprint/30518/1/30518_SANTIKA_The_environmental_impacts_of_palm_oil.pdfData sources: CORECORE (RIOXX-UK Aggregator)Article . 2020License: CC BY NCFull-Text: http://gala.gre.ac.uk/id/eprint/30518/1/30518_SANTIKA_The_environmental_impacts_of_palm_oil.pdfData sources: CORE (RIOXX-UK Aggregator)EarthArXivPreprint . 2020Full-Text: https://eartharxiv.org/e69bz/downloadData sources: EarthArXivCGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2021Full-Text: https://hdl.handle.net/10568/111665Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.31223/osf.i...Article . 2020 . Peer-reviewedLicense: CC BYData sources: CrossrefUniversity of Tasmania: UTas ePrintsArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41477-020-00813-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Review , Journal 2021 Spain, Germany, Italy, Germany, Italy, France, Italy, Italy, Italy, Slovenia, Switzerland, Netherlands, Netherlands, Italy, Germany, Italy, Netherlands, Italy, Italy, Spain, India, IndiaPublisher:Elsevier BV Pasquale Borrelli; Pasquale Borrelli; Pasquale Borrelli; Artemi Cerdà; Amelie Jeanneau; Paulo Tarso Sanches de Oliveira; Jae E. Yang; Giovanni Francesco Ricci; Edouard Patault; Raquel de Castro Portes; Konstantinos Kaffas; Calogero Schillaci; Jesús Rodrigo-Comino; Marcella Biddoccu; Christine Alewell; Michele Freppaz; Shuiqing Yin; Nejc Bezak; Francis Matthews; Anna Maria De Girolamo; Diogo Noses Spinola; Francesco Gentile; Konstantinos Vantas; Diana Vieira; Ivan Lizaga Villuendas; Manuel Esteban Lucas-Borja; Nazzareno Diodato; Resham Thapa; Vasileios Syrris; Mark A. Nearing; Jamil Alexandre Ayach Anache; Gizaw Desta Gessesse; Matjaž Mikoš; Mahboobeh Kiani-Harchegani; Nigussie Haregeweyn; Laura Poggio; Dinesh Panday; Aliakbar Nazari Samani; Victoria Naipal; Hyuck Soo Kim; Cristian Valeriu Patriche; Chiyuan Miao; Markus Möller; Nikolaos Efthimiou; Andreas Gericke; Bifeng Hu; Demetrio Antonio Zema; Luigi Lombardo; Detlef Deumlich; Hongfen Teng; Laura Quijano; Peter Fiener; Changjia Li; Panos Panagos; Gunay Erpul; Jantiene Baartman; Sergio Saia; Sirio Modugno; Songchao Chen; Stephen Owusu; Mohammad Reza Rahdari; Walter W. Chen; Guangju Zhao; Cristiano Ballabio; Devraj Chalise; Mohammed Renima; Pablo Alvarez; Manuel López-Vicente; Michael Märker;doi: 10.1016/j.scitotenv.2021.146494 , 10.60692/b0wdh-tp130 , 10.5445/ir/1000131052 , 10.60692/0amdv-w9z03
pmid: 33773346
pmc: PMC8140410
handle: 20.500.14243/402430 , 10261/244934 , 2434/895913 , 20.500.12556/RUL-127272 , 11590/416222 , 11568/1115150 , 2318/2033719 , 11586/408115 , 11571/1509070
doi: 10.1016/j.scitotenv.2021.146494 , 10.60692/b0wdh-tp130 , 10.5445/ir/1000131052 , 10.60692/0amdv-w9z03
pmid: 33773346
pmc: PMC8140410
handle: 20.500.14243/402430 , 10261/244934 , 2434/895913 , 20.500.12556/RUL-127272 , 11590/416222 , 11568/1115150 , 2318/2033719 , 11586/408115 , 11571/1509070
Pour mieux comprendre l'application mondiale des modèles de prédiction de l'érosion des sols, nous avons examiné de manière approfondie la littérature de recherche pertinente évaluée par des pairs sur la modélisation de l'érosion des sols publiée entre 1994 et 2017. Nous avons cherché à identifier (i) les processus et les modèles les plus fréquemment abordés dans la littérature, (ii) les régions dans lesquelles les modèles sont principalement appliqués, (iii) les régions qui restent non traitées et pourquoi, et (iv) la fréquence des études menées pour valider/évaluer les résultats des modèles par rapport aux données mesurées. Pour mener à bien cette tâche, nous avons combiné les connaissances collectives de 67 scientifiques spécialistes de l'érosion des sols de 25 pays. La base de données résultante, intitulée « Global Applications of Soil Erosion Modelling Tracker (GASEMT) », comprend 3030 enregistrements de modélisation individuels provenant de 126 pays, englobant tous les continents (à l'exception de l'Antarctique). Sur les 8471 articles identifiés comme potentiellement pertinents, nous avons examiné 1697 articles appropriés et systématiquement évalué et transféré 42 attributs pertinents dans la base de données. Cette base de données GASEMT fournit des informations complètes sur l'état de l'art des modèles d'érosion des sols et des applications de modèles dans le monde entier. Cette base de données vise à soutenir la prochaine évaluation mondiale de l'érosion des sols par les Nations Unies basée sur les pays, en plus d'aider à éclairer les priorités de recherche sur l'érosion des sols en construisant une base pour de futures analyses ciblées et approfondies. GASEMT est une base de données open-source à la disposition de l'ensemble de la communauté des utilisateurs pour développer la recherche, corriger les erreurs et faire des extensions futures. Para comprender mejor la aplicación global de los modelos de predicción de la erosión del suelo, revisamos exhaustivamente la literatura de investigación relevante revisada por pares sobre modelos de erosión del suelo publicada entre 1994 y 2017. Nuestro objetivo fue identificar (i) los procesos y modelos abordados con mayor frecuencia en la literatura, (ii) las regiones dentro de las cuales se aplican principalmente los modelos, (iii) las regiones que permanecen sin abordar y por qué, y (iv) con qué frecuencia se realizan estudios para validar/evaluar los resultados del modelo en relación con los datos medidos. Para realizar esta tarea, combinamos el conocimiento colectivo de 67 científicos de erosión de suelos de 25 países. La base de datos resultante, denominada 'Global Applications of Soil Erosion Modelling Tracker (GASEMT)', incluye 3030 registros de modelado individuales de 126 países, que abarcan todos los continentes (excepto la Antártida). De los 8471 artículos identificados como potencialmente relevantes, revisamos 1697 artículos apropiados y evaluamos y transferimos sistemáticamente 42 atributos relevantes a la base de datos. Esta base de datos GASEMT proporciona información integral sobre el estado del arte de los modelos de erosión del suelo y las aplicaciones de modelos en todo el mundo. Esta base de datos tiene la intención de apoyar la próxima evaluación mundial de la erosión del suelo de las Naciones Unidas basada en los países, además de ayudar a informar las prioridades de investigación de la erosión del suelo mediante la creación de una base para futuros análisis específicos y en profundidad. GASEMT es una base de datos de código abierto disponible para toda la comunidad de usuarios para desarrollar investigaciones, rectificar errores y realizar futuras expansiones. To gain a better understanding of the global application of soil erosion prediction models, we comprehensively reviewed relevant peer-reviewed research literature on soil-erosion modelling published between 1994 and 2017. We aimed to identify (i) the processes and models most frequently addressed in the literature, (ii) the regions within which models are primarily applied, (iii) the regions which remain unaddressed and why, and (iv) how frequently studies are conducted to validate/evaluate model outcomes relative to measured data. To perform this task, we combined the collective knowledge of 67 soil-erosion scientists from 25 countries. The resulting database, named 'Global Applications of Soil Erosion Modelling Tracker (GASEMT)', includes 3030 individual modelling records from 126 countries, encompassing all continents (except Antarctica). Out of the 8471 articles identified as potentially relevant, we reviewed 1697 appropriate articles and systematically evaluated and transferred 42 relevant attributes into the database. This GASEMT database provides comprehensive insights into the state-of-the-art of soil- erosion models and model applications worldwide. This database intends to support the upcoming country-based United Nations global soil-erosion assessment in addition to helping to inform soil erosion research priorities by building a foundation for future targeted, in-depth analyses. GASEMT is an open-source database available to the entire user-community to develop research, rectify errors, and make future expansions. للحصول على فهم أفضل للتطبيق العالمي لنماذج التنبؤ بتآكل التربة، قمنا بمراجعة شاملة للأدبيات البحثية ذات الصلة التي استعرضها الأقران حول نمذجة تآكل التربة المنشورة بين عامي 1994 و 2017. كنا نهدف إلى تحديد (1) العمليات والنماذج التي يتم تناولها بشكل متكرر في الأدبيات، (2) المناطق التي يتم فيها تطبيق النماذج في المقام الأول، (3) المناطق التي لا تزال دون معالجة ولماذا، و (4) عدد المرات التي يتم فيها إجراء دراسات للتحقق من صحة/تقييم نتائج النموذج بالنسبة للبيانات المقاسة. لأداء هذه المهمة، جمعنا المعرفة الجماعية لـ 67 عالمًا في مجال تآكل التربة من 25 دولة. تتضمن قاعدة البيانات الناتجة، المسماة "التطبيقات العالمية لتتبع نمذجة تآكل التربة (GASEMT )"، 3030 سجل نمذجة فردي من 126 دولة، تشمل جميع القارات (باستثناء القارة القطبية الجنوبية). من بين 8471 مقالة تم تحديدها على أنها ذات صلة محتملة، قمنا بمراجعة 1697 مقالة مناسبة وقمنا بتقييم ونقل 42 سمة ذات صلة بشكل منهجي إلى قاعدة البيانات. توفر قاعدة بيانات GASEMT هذه رؤى شاملة حول أحدث نماذج تآكل التربة وتطبيقات النماذج في جميع أنحاء العالم. تهدف قاعدة البيانات هذه إلى دعم التقييم العالمي المقبل لتآكل التربة الذي تجريه الأمم المتحدة على المستوى القطري بالإضافة إلى المساعدة في توجيه أولويات أبحاث تآكل التربة من خلال بناء أساس للتحليلات المتعمقة المستهدفة في المستقبل. GASEMT هي قاعدة بيانات مفتوحة المصدر متاحة لمجتمع المستخدمين بأكمله لتطوير البحث وتصحيح الأخطاء وإجراء التوسعات المستقبلية.
IRIS Cnr arrow_drop_down Archivio della Ricerca - Università di PisaArticle . 2021License: CC BYData sources: Archivio della Ricerca - Università di PisaNormandie Université: HALArticle . 2021Full-Text: https://hal.inrae.fr/hal-03481665Data sources: Bielefeld Academic Search Engine (BASE)Università degli Studi di Bari Aldo Moro: CINECA IRISArticle . 2021Full-Text: https://hdl.handle.net/11586/408115Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2021Full-Text: https://hal.inrae.fr/hal-03481665Data sources: Bielefeld Academic Search Engine (BASE)The Science of The Total EnvironmentArticle . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2021 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAThe Science of The Total EnvironmentReview . 2021Data sources: University of Twente Research InformationRepositorio da Universidade da CoruñaArticle . 2021License: CC BYData sources: Repositorio da Universidade da CoruñaRepository of the University of LjubljanaArticle . 2021Data sources: Repository of the University of LjubljanaWageningen Staff PublicationsArticle . 2021License: CC BYData sources: Wageningen Staff PublicationsInstitut National de la Recherche Agronomique: ProdINRAArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Archivio della Ricerca - Università degli Studi Roma TreArticle . 2021Data sources: Archivio della Ricerca - Università degli Studi Roma TreIRIS UNIPV (Università degli studi di Pavia)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.scitotenv.2021.146494&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 445 citations 445 popularity Top 0.1% influence Top 1% impulse Top 0.01% Powered by BIP!
visibility 49visibility views 49 download downloads 126 Powered bymore_vert IRIS Cnr arrow_drop_down Archivio della Ricerca - Università di PisaArticle . 2021License: CC BYData sources: Archivio della Ricerca - Università di PisaNormandie Université: HALArticle . 2021Full-Text: https://hal.inrae.fr/hal-03481665Data sources: Bielefeld Academic Search Engine (BASE)Università degli Studi di Bari Aldo Moro: CINECA IRISArticle . 2021Full-Text: https://hdl.handle.net/11586/408115Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2021Full-Text: https://hal.inrae.fr/hal-03481665Data sources: Bielefeld Academic Search Engine (BASE)The Science of The Total EnvironmentArticle . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2021 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAThe Science of The Total EnvironmentReview . 2021Data sources: University of Twente Research InformationRepositorio da Universidade da CoruñaArticle . 2021License: CC BYData sources: Repositorio da Universidade da CoruñaRepository of the University of LjubljanaArticle . 2021Data sources: Repository of the University of LjubljanaWageningen Staff PublicationsArticle . 2021License: CC BYData sources: Wageningen Staff PublicationsInstitut National de la Recherche Agronomique: ProdINRAArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Archivio della Ricerca - Università degli Studi Roma TreArticle . 2021Data sources: Archivio della Ricerca - Università degli Studi Roma TreIRIS UNIPV (Università degli studi di Pavia)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.scitotenv.2021.146494&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type , Research , Preprint 2013 Italy, GermanyPublisher:Elsevier BV Funded by:EC | WIOD, EC | ENTRACTE, EC | ICARUSEC| WIOD ,EC| ENTRACTE ,EC| ICARUSMichael Schymura; Enrica De Cian; Enrica De Cian; Sebastian Voigt; Elena Verdolini;handle: 10278/3695705 , 11379/513977
This study analyzes energy intensity trends and drivers in 40 major economies using the WIOD database, a novel harmonized and consistent dataset of input-output table time series accompanied by environmental satellite data. We use logarithmic mean Divisia index decomposition to (1) study trends in global energy intensity between 1995 and 2007, (2) attribute efficiency changes to either changes in technology or changes in the structure of the economy, and (3) highlight sectoral and regional differences. We first show that heterogeneity within each sector across countries is high. These general trends within the sectors are dominated by large economies, first and foremost the United States. In most cases, heterogeneity is lower within each country across the different sectors. Regarding changes of energy intensity at the country level, improvements between 1995 and 2007 are largely attributable to technological change while structural change is less important in most countries. Notable exceptions are Japan, the United States, Australia, Taiwan, Mexico and Brazil where a change in the industry mix was the main driver behind the observed energy intensity reduction.
MAnnheim DOCument Se... arrow_drop_down http://dx.doi.org/10.1016/j.en...Other literature typeData sources: European Union Open Data PortalAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.eneco.2013.10.015&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu358 citations 358 popularity Top 0.1% influence Top 1% impulse Top 1% Powered by BIP!
more_vert MAnnheim DOCument Se... arrow_drop_down http://dx.doi.org/10.1016/j.en...Other literature typeData sources: European Union Open Data PortalAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.eneco.2013.10.015&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Review , Journal 2021 Norway, Australia, Denmark, Norway, Austria, United States, Germany, United Kingdom, United KingdomPublisher:IOP Publishing Funded by:EC | MAT_STOCKSEC| MAT_STOCKSWilliam F. Lamb; Thomas Wiedmann; Julia Pongratz; Robbie M. Andrew; Monica Crippa; J. G. J. Olivier; Dominik Wiedenhofer; Giulio Mattioli; Alaa Al Khourdajie; Joanna I. House; Shonali Pachauri; María Figueroa; Yamina Saheb; Raphael Slade; Klaus Hubacek; Laixiang Sun; Suzana Kahn Ribeiro; Smail Khennas; Stéphane de la Rue du Can; Lazarus Chapungu; Steven J. Davis; I. A. Bashmakov; Hancheng Dai; Shobhakar Dhakal; Xianjun Tan; Yong Geng; Baihe Gu; Jan C. Minx;AbstractGlobal greenhouse gas (GHG) emissions can be traced to five economic sectors: energy, industry, buildings, transport and AFOLU (agriculture, forestry and other land uses). In this topical review, we synthesise the literature to explain recent trends in global and regional emissions in each of these sectors. To contextualise our review, we present estimates of GHG emissions trends by sector from 1990 to 2018, describing the major sources of emissions growth, stability and decline across ten global regions. Overall, the literature and data emphasise that progress towards reducing GHG emissions has been limited. The prominent global pattern is a continuation of underlying drivers with few signs of emerging limits to demand, nor of a deep shift towards the delivery of low and zero carbon services across sectors. We observe a moderate decarbonisation of energy systems in Europe and North America, driven by fuel switching and the increasing penetration of renewables. By contrast, in rapidly industrialising regions, fossil-based energy systems have continuously expanded, only very recently slowing down in their growth. Strong demand for materials, floor area, energy services and travel have driven emissions growth in the industry, buildings and transport sectors, particularly in Eastern Asia, Southern Asia and South-East Asia. An expansion of agriculture into carbon-dense tropical forest areas has driven recent increases in AFOLU emissions in Latin America, South-East Asia and Africa. Identifying, understanding, and tackling the most persistent and climate-damaging trends across sectors is a fundamental concern for research and policy as humanity treads deeper into the Anthropocene.
University of Califo... arrow_drop_down University of California: eScholarshipArticle . 2021License: CC BY NCFull-Text: https://escholarship.org/uc/item/53r1q6x4Data sources: Bielefeld Academic Search Engine (BASE)UNSWorksArticle . 2021License: CC BY NC NDFull-Text: http://hdl.handle.net/1959.4/unsworks_76669Data sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2021License: CC BYFull-Text: http://hdl.handle.net/10044/1/90455Data sources: Bielefeld Academic Search Engine (BASE)Environmental Research LettersReview . 2021License: CC BYData sources: University of Groningen Research PortalSpiral - Imperial College Digital RepositoryArticle . 2021License: CC BYData sources: Spiral - Imperial College Digital RepositoryeScholarship - University of CaliforniaArticle . 2021Data sources: eScholarship - University of CaliforniaEnvironmental Research LettersArticle . 2021 . Peer-reviewedData sources: European Union Open Data PortalUniversity of Bristol: Bristol ResearchArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/abee4e&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 698 citations 698 popularity Top 0.1% influence Top 1% impulse Top 0.01% Powered by BIP!
visibility 1visibility views 1 download downloads 55 Powered bymore_vert University of Califo... arrow_drop_down University of California: eScholarshipArticle . 2021License: CC BY NCFull-Text: https://escholarship.org/uc/item/53r1q6x4Data sources: Bielefeld Academic Search Engine (BASE)UNSWorksArticle . 2021License: CC BY NC NDFull-Text: http://hdl.handle.net/1959.4/unsworks_76669Data sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2021License: CC BYFull-Text: http://hdl.handle.net/10044/1/90455Data sources: Bielefeld Academic Search Engine (BASE)Environmental Research LettersReview . 2021License: CC BYData sources: University of Groningen Research PortalSpiral - Imperial College Digital RepositoryArticle . 2021License: CC BYData sources: Spiral - Imperial College Digital RepositoryeScholarship - University of CaliforniaArticle . 2021Data sources: eScholarship - University of CaliforniaEnvironmental Research LettersArticle . 2021 . Peer-reviewedData sources: European Union Open Data PortalUniversity of Bristol: Bristol ResearchArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/abee4e&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2023 Germany, Austria, Netherlands, GermanyPublisher:Springer Science and Business Media LLC Funded by:EC | ENGAGE, EC | ECEMFEC| ENGAGE ,EC| ECEMFMark M. Dekker; Vassilis Daioglou; Robert Pietzcker; Renato Rodrigues; Harmen-Sytze de Boer; Francesco Dalla Longa; Laurent Drouet; Johannes Emmerling; Amir Fattahi; Theofano Fotiou; Panagiotis Fragkos; Oliver Fricko; Ema Gusheva; Mathijs Harmsen; Daniel Huppmann; Maria Kannavou; Volker Krey; Francesco Lombardi; Gunnar Luderer; Stefan Pfenninger; Ioannis Tsiropoulos; Behnam Zakeri; Bob van der Zwaan; Will Usher; Detlef van Vuuren;AbstractEnergy models are used to study emissions mitigation pathways, such as those compatible with the Paris Agreement goals. These models vary in structure, objectives, parameterization and level of detail, yielding differences in the computed energy and climate policy scenarios. To study model differences, diagnostic indicators are common practice in many academic fields, for example, in the physical climate sciences. However, they have not yet been applied systematically in mitigation literature, beyond addressing individual model dimensions. Here we address this gap by quantifying energy model typology along five dimensions: responsiveness, mitigation strategies, energy supply, energy demand and mitigation costs and effort, each expressed through several diagnostic indicators. The framework is applied to a diagnostic experiment with eight energy models in which we explore ten scenarios focusing on Europe. Comparing indicators to the ensemble yields comprehensive ‘energy model fingerprints’, which describe systematic model behaviour and contextualize model differences for future multi-model comparison studies.
IIASA PURE arrow_drop_down Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2023License: CC BYData sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.21203/rs.3....Article . 2023 . Peer-reviewedLicense: CC BYData sources: CrossrefNature EnergyArticle . 2023License: CC BYData sources: Universiteit van Amsterdam Digital Academic RepositoryUniversiteit van Amsterdam: Digital Academic Repository (UvA DARE)Article . 2023Data sources: Bielefeld Academic Search Engine (BASE)Delft University of Technology: Institutional RepositoryArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41560-023-01399-1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 20 citations 20 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
visibility 7visibility views 7 download downloads 2 Powered bymore_vert IIASA PURE arrow_drop_down Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2023License: CC BYData sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.21203/rs.3....Article . 2023 . Peer-reviewedLicense: CC BYData sources: CrossrefNature EnergyArticle . 2023License: CC BYData sources: Universiteit van Amsterdam Digital Academic RepositoryUniversiteit van Amsterdam: Digital Academic Repository (UvA DARE)Article . 2023Data sources: Bielefeld Academic Search Engine (BASE)Delft University of Technology: Institutional RepositoryArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41560-023-01399-1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022Embargo end date: 01 Jan 2023 Finland, Switzerland, Czech Republic, Switzerland, Czech RepublicPublisher:Springer Science and Business Media LLC Funded by:EC | XAIDA, EC | ATTACHEC| XAIDA ,EC| ATTACHSamuel Lüthi; Christopher Fairless; Erich Fischer; Noah Scovronick; Ben Armstrong; Micheline Coelho; Yue Leon Guo; Yuming Guo; Yasushi Honda; Veronika Huber; Jan Kyselý; Eric Lavigne; Dominic Roye; Niilo Ryti; Susana Pereira da Silva; Aleš Urban; Antonio Gasparrini; David Bresch; Ana Vicedo-Cabrera;AbstractHeat-related mortality has been identified as one of the key climate extremes posing a risk to human health. Current research focuses largely on how heat mortality increases with mean global temperature rise, but it is unclear how much climate change will increase the frequency and severity of extreme summer seasons with high impact on human health. In this probabilistic analysis, we combined empirical heat-mortality relationships for 748 locations from 47 countries with climate model large ensemble data to identify probable past and future highly impactful summer seasons. Across most locations, heat mortality counts of a 1-in-100 year season in the climate of 2000 would be expected once every ten to twenty years in the climate of 2020. These return periods are projected to further shorten under warming levels of 1.5 °C and 2 °C, where heat-mortality extremes of the past climate will eventually become commonplace if no adaptation occurs. Our findings highlight the urgent need for strong mitigation and adaptation to reduce impacts on human lives.
Bern Open Repository... arrow_drop_down Bern Open Repository and Information System (BORIS)Article . 2023 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)https://doi.org/10.21203/rs.3....Article . 2022 . Peer-reviewedLicense: CC BYData sources: CrossrefUniversity of Oulu Repository - JultikaArticle . 2023Data sources: University of Oulu Repository - JultikaRepository of the Czech Academy of SciencesArticle . 2023Data sources: Repository of the Czech Academy of SciencesAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41467-023-40599-x&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu81 citations 81 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Bern Open Repository... arrow_drop_down Bern Open Repository and Information System (BORIS)Article . 2023 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)https://doi.org/10.21203/rs.3....Article . 2022 . Peer-reviewedLicense: CC BYData sources: CrossrefUniversity of Oulu Repository - JultikaArticle . 2023Data sources: University of Oulu Repository - JultikaRepository of the Czech Academy of SciencesArticle . 2023Data sources: Repository of the Czech Academy of SciencesAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41467-023-40599-x&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Journal 2018 United States, United States, Australia, Italy, France, Australia, Australia, United States, AustraliaPublisher:American Association for the Advancement of Science (AAAS) Funded by:DFGDFGAndrew Pomeroy; Andrew Pomeroy; Elisa Casella; Valeriano Parravicini; Antoine Collin; Antoine Collin; Rémy Canavesio; Daniel L. Harris; Daniel L. Harris; Jody M. Webster; Alessio Rovere; Hannah E. Power;If coral reefs continue to degrade, waves on coastlines may substantially increase, leading to greater coastal erosion.
Archivio istituziona... arrow_drop_down Archivio istituzionale della ricerca - Università degli Studi di Venezia Ca' FoscariArticle . 2018License: CC BY NCUniversité de Bretagne Occidentale: HALArticle . 2018License: CC BY NCFull-Text: https://hal.science/hal-01724281Data sources: Bielefeld Academic Search Engine (BASE)Archive Ouverte de l'Université Rennes (HAL)Article . 2018License: CC BY NCFull-Text: https://hal.science/hal-01724281Data sources: Bielefeld Academic Search Engine (BASE)The University of Melbourne: Digital RepositoryArticle . 2018License: CC BY NCFull-Text: http://hdl.handle.net/11343/273103Data sources: Bielefeld Academic Search Engine (BASE)Université de Nantes: HAL-UNIV-NANTESArticle . 2018License: CC BY NCFull-Text: https://hal.science/hal-01724281Data sources: Bielefeld Academic Search Engine (BASE)Columbia University Academic CommonsArticle . 2018Full-Text: https://doi.org/10.7916/D8F77VN0Data sources: Bielefeld Academic Search Engine (BASE)Normandie Université: HALArticle . 2018License: CC BY NCFull-Text: https://hal.science/hal-01724281Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2018License: CC BY NCFull-Text: https://hal.science/hal-01724281Data sources: Bielefeld Academic Search Engine (BASE)Fachrepositorium LebenswissenschaftenArticle . 2018License: CC BY NCData sources: Fachrepositorium LebenswissenschaftenINRIA a CCSD electronic archive serverArticle . 2018Data sources: INRIA a CCSD electronic archive serverThe University of Queensland: UQ eSpaceArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1126/sciadv.aao4350&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu168 citations 168 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Archivio istituziona... arrow_drop_down Archivio istituzionale della ricerca - Università degli Studi di Venezia Ca' FoscariArticle . 2018License: CC BY NCUniversité de Bretagne Occidentale: HALArticle . 2018License: CC BY NCFull-Text: https://hal.science/hal-01724281Data sources: Bielefeld Academic Search Engine (BASE)Archive Ouverte de l'Université Rennes (HAL)Article . 2018License: CC BY NCFull-Text: https://hal.science/hal-01724281Data sources: Bielefeld Academic Search Engine (BASE)The University of Melbourne: Digital RepositoryArticle . 2018License: CC BY NCFull-Text: http://hdl.handle.net/11343/273103Data sources: Bielefeld Academic Search Engine (BASE)Université de Nantes: HAL-UNIV-NANTESArticle . 2018License: CC BY NCFull-Text: https://hal.science/hal-01724281Data sources: Bielefeld Academic Search Engine (BASE)Columbia University Academic CommonsArticle . 2018Full-Text: https://doi.org/10.7916/D8F77VN0Data sources: Bielefeld Academic Search Engine (BASE)Normandie Université: HALArticle . 2018License: CC BY NCFull-Text: https://hal.science/hal-01724281Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2018License: CC BY NCFull-Text: https://hal.science/hal-01724281Data sources: Bielefeld Academic Search Engine (BASE)Fachrepositorium LebenswissenschaftenArticle . 2018License: CC BY NCData sources: Fachrepositorium LebenswissenschaftenINRIA a CCSD electronic archive serverArticle . 2018Data sources: INRIA a CCSD electronic archive serverThe University of Queensland: UQ eSpaceArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1126/sciadv.aao4350&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2023 France, France, Austria, France, United Kingdom, FinlandPublisher:Springer Science and Business Media LLC Publicly fundedFunded by:ARC | Discovery Projects - Gran...ARC| Discovery Projects - Grant ID: DP200102542Budiman Minasny; Diana Vigah Adetsu; Matt Aitkenhead; Rebekka Artz; Nikki Baggaley; Alexandra Barthelmes; Amélie Beucher; Jean Caron; Giulia Conchedda; John Connolly; Raphaël Deragon; Chris Evans; Kjetil Damsberg Fadnes; Dian Fiantis; Zisis Gagkas; Louis Gilet; Alessandro Gimona; Stephan Glatzel; Mogens H. Greve; Wahaj Habib; Kristell Hergoualc'h; Cecilie Hermansen; Darren Kidd; Triven Koganti; Dianna Kopansky; David J. Large; Tuula Larmola; A. Lilly; Haojie Liu; Matthew A. Marcus; Maarit Middleton; Keith Morrison; Rasmus Jes Petersen; Tristan Quaife; Line Rochefort; . Rudiyanto; Linda Toca; Francesco N. Tubiello; Peter Lystbæk Weber; Simon Weldon; Wirastuti Widyatmanti; Jenny Williamson; Dominik Zak;handle: 10568/135828
AbstractPeatlands cover only 3–4% of the Earth’s surface, but they store nearly 30% of global soil carbon stock. This significant carbon store is under threat as peatlands continue to be degraded at alarming rates around the world. It has prompted countries worldwide to establish regulations to conserve and reduce emissions from this carbon rich ecosystem. For example, the EU has implemented new rules that mandate sustainable management of peatlands, critical to reaching the goal of carbon neutrality by 2050. However, a lack of information on the extent and condition of peatlands has hindered the development of national policies and restoration efforts. This paper reviews the current state of knowledge on mapping and monitoring peatlands from field sites to the globe and identifies areas where further research is needed. It presents an overview of the different methodologies used to map peatlands in nine countries, which vary in definition of peat soil and peatland, mapping coverage, and mapping detail. Whereas mapping peatlands across the world with only one approach is hardly possible, the paper highlights the need for more consistent approaches within regions having comparable peatland types and climates to inform their protection and urgent restoration. The review further summarises various approaches used for monitoring peatland conditions and functions. These include monitoring at the plot scale for degree of humification and stoichiometric ratio, and proximal sensing such as gamma radiometrics and electromagnetic induction at the field to landscape scale for mapping peat thickness and identifying hotspots for greenhouse gas (GHG) emissions. Remote sensing techniques with passive and active sensors at regional to national scale can help in monitoring subsidence rate, water table, peat moisture, landslides, and GHG emissions. Although the use of water table depth as a proxy for interannual GHG emissions from peatlands has been well established, there is no single remote sensing method or data product yet that has been verified beyond local or regional scales. Broader land-use change and fire monitoring at a global scale may further assist national GHG inventory reporting. Monitoring of peatland conditions to evaluate the success of individual restoration schemes still requires field work to assess local proxies combined with remote sensing and modeling. Long-term monitoring is necessary to draw valid conclusions on revegetation outcomes and associated GHG emissions in rewetted peatlands, as their dynamics are not fully understood at the site level. Monitoring vegetation development and hydrology of restored peatlands is needed as a proxy to assess the return of water and changes in nutrient cycling and biodiversity.
NERC Open Research A... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2023License: CC BYFull-Text: https://hdl.handle.net/10568/135828Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2023License: CC BYData sources: Bielefeld Academic Search Engine (BASE)All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s10533-023-01084-1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 39 citations 39 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!
more_vert NERC Open Research A... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2023License: CC BYFull-Text: https://hdl.handle.net/10568/135828Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2023License: CC BYData sources: Bielefeld Academic Search Engine (BASE)All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s10533-023-01084-1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2016 FrancePublisher:Springer Science and Business Media LLC I. Thormann; P. Reeves; S. Thumm; A. Reilley; J. M. M. Engels; C. M. Biradar; U. Lohwasser; A. Börner; K. Pillen; C. M. Richards;handle: 10568/77066
Climate change and other anthropogenic disturbances can lead to the loss of genetic variation and thereby affect evolutionary potential and survival of plant populations in the wild. We examined these predictions in the primary wild relative of barley, Hordeum vulgare L. subsp. spontaneum (K. Koch) Thell., within its center of diversity, in Jordan. Changes in genotypic and phenotypic diversity were assessed using seed samples collected in 1981 and 2012 from the same 18 sites across Jordan. The overall population structure was conserved, but we observed an increase of within population genetic diversity and a reduction in population differentiation. Phenotypic variation differed among years and sites but the magnitude and direction of change variated among sites. While the sampled region became significantly hotter and drier during this period, simple correlation models did not support association between measures of climate change and the observed genetic and phenotypic changes. Agricultural activities that promote disturbance and demographic fluctuations may affect crop wild relatives that grow in agricultural landscapes, in unexpected ways. The observed increase in genetic diversity within populations might be explained by increased migration or by an advantage of increased genetic variation in the face of variable environmental conditions. This study provides a new perspective on the range of possible responses of crop wild relatives to environmental pressures.
CGIAR CGSpace (Consu... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2016Full-Text: https://hdl.handle.net/10568/77066Data sources: Bielefeld Academic Search Engine (BASE)Genetic Resources and Crop EvolutionArticle . 2016 . Peer-reviewedLicense: Springer TDMData sources: CrossrefAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s10722-016-0437-5&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 19 citations 19 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert CGIAR CGSpace (Consu... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2016Full-Text: https://hdl.handle.net/10568/77066Data sources: Bielefeld Academic Search Engine (BASE)Genetic Resources and Crop EvolutionArticle . 2016 . Peer-reviewedLicense: Springer TDMData sources: CrossrefAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s10722-016-0437-5&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu