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description Publicationkeyboard_double_arrow_right Article , Other literature type 2023Publisher:Oxford University Press (OUP) Tommaso Stella; Heidi Webber; Ehsan Eyshi Rezaei; Senthold Asseng; Pierre Martre; Sibylle Dueri; Jose Rafael Guarin; Diego Noleto Luz Pequeno; Daniel F. Calderini; Matthew Reynolds; Gemma Molero; Daniel J. Miralles; Guillermo A. García; Gustavo A. Slafer; Francesco Giunta; Yean‐Uk Kim; Chenzhi Wang; Alex C. Ruane; Frank Ewert;Abstract Increasing genetic wheat yield potential is considered by many as critical to increasing global wheat yields and production, baring major changes in consumption patterns. Climate change challenges breeding by making target environments less predictable, altering regional productivity and potentially increasing yield variability. Here we used a crop simulation model solution in the SIMPLACE framework to explore yield sensitivity to select trait characteristics (radiation use efficiency [RUE], fruiting efficiency and light extinction coefficient) across 34 locations representing the world’s wheat-producing environments, determining their relationship to increasing yields, yield variability and cultivar performance. The magnitude of the yield increase was trait-dependent and differed between irrigated and rainfed environments. RUE had the most prominent marginal effect on yield, which increased by about 45 % and 33 % in irrigated and rainfed sites, respectively, between the minimum and maximum value of the trait. Altered values of light extinction coefficient had the least effect on yield levels. Higher yields from improved traits were generally associated with increased inter-annual yield variability (measured by standard deviation), but the relative yield variability (as coefficient of variation) remained largely unchanged between base and improved genotypes. This was true under both current and future climate scenarios. In this context, our study suggests higher wheat yields from these traits would not increase climate risk for farmers and the adoption of cultivars with these traits would not be associated with increased yield variability.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 3 citations 3 popularity Top 10% influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.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=10.1093/insilicoplants/diad013&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2020 India, India, France, South Africa, Australia, Finland, FrancePublisher:Wiley Gatien N. Falconnier; Marc Corbeels; Kenneth J. Boote; François Affholder; Myriam Adam; Dilys S. MacCarthy; Alex C. Ruane; Claas Nendel; Anthony M. Whitbread; Éric Justes; Lajpat R. Ahuja; Folorunso M. Akinseye; Isaac N. Alou; Kokou A. Amouzou; Saseendran S. Anapalli; Christian Baron; Bruno Basso; Frédéric Baudron; Patrick Bertuzzi; Andrew J. Challinor; Yi Chen; Delphine Deryng; Maha L. Elsayed; Babacar Faye; Thomas Gaiser; Marcelo Galdos; Sebastian Gayler; Edward Gerardeaux; Michel Giner; Brian Grant; Gerrit Hoogenboom; Esther S. Ibrahim; Bahareh Kamali; Kurt Christian Kersebaum; Soo‐Hyung Kim; Michael van der Laan; Louise Leroux; Jon I. Lizaso; Bernardo Maestrini; Elizabeth A. Meier; Fasil Mequanint; Alain Ndoli; Cheryl H. Porter; Eckart Priesack; Dominique Ripoche; Tesfaye S. Sida; Upendra Singh; Ward N. Smith; Amit Srivastava; Sumit Sinha; Fulu Tao; Peter J. Thorburn; Dennis Timlin; Bouba Traore; Tracy Twine; Heidi Webber;AbstractSmallholder farmers in sub‐Saharan Africa (SSA) currently grow rainfed maize with limited inputs including fertilizer. Climate change may exacerbate current production constraints. Crop models can help quantify the potential impact of climate change on maize yields, but a comprehensive multimodel assessment of simulation accuracy and uncertainty in these low‐input systems is currently lacking. We evaluated the impact of varying [CO2], temperature and rainfall conditions on maize yield, for different nitrogen (N) inputs (0, 80, 160 kg N/ha) for five environments in SSA, including cool subhumid Ethiopia, cool semi‐arid Rwanda, hot subhumid Ghana and hot semi‐arid Mali and Benin using an ensemble of 25 maize models. Models were calibrated with measured grain yield, plant biomass, plant N, leaf area index, harvest index and in‐season soil water content from 2‐year experiments in each country to assess their ability to simulate observed yield. Simulated responses to climate change factors were explored and compared between models. Calibrated models reproduced measured grain yield variations well with average relative root mean square error of 26%, although uncertainty in model prediction was substantial (CV = 28%). Model ensembles gave greater accuracy than any model taken at random. Nitrogen fertilization controlled the response to variations in [CO2], temperature and rainfall. Without N fertilizer input, maize (a) benefited less from an increase in atmospheric [CO2]; (b) was less affected by higher temperature or decreasing rainfall; and (c) was more affected by increased rainfall because N leaching was more critical. The model intercomparison revealed that simulation of daily soil N supply and N leaching plays a crucial role in simulating climate change impacts for low‐input systems. Climate change and N input interactions have strong implications for the design of robust adaptation approaches across SSA, because the impact of climate change in low input systems will be modified if farmers intensify maize production with balanced nutrient management.
Hyper Article en Lig... arrow_drop_down Hyper Article en LigneArticle . 2020Full-Text: https://hal.inrae.fr/hal-03127406/documentData sources: Hyper Article en LigneCIRAD: HAL (Agricultural Research for Development)Article . 2020Full-Text: https://hal.inrae.fr/hal-03127406Data sources: Bielefeld Academic Search Engine (BASE)Global Change BiologyArticle . 2020 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefThe University of Queensland: UQ eSpaceArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesbronze 72 citations 72 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Hyper Article en Lig... arrow_drop_down Hyper Article en LigneArticle . 2020Full-Text: https://hal.inrae.fr/hal-03127406/documentData sources: Hyper Article en LigneCIRAD: HAL (Agricultural Research for Development)Article . 2020Full-Text: https://hal.inrae.fr/hal-03127406Data sources: Bielefeld Academic Search Engine (BASE)Global Change BiologyArticle . 2020 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefThe University of Queensland: UQ eSpaceArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.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=10.1111/gcb.15261&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type 2022 Finland, Netherlands, SpainPublisher:Oxford University Press (OUP) Funded by:, DFG | Catchments as Reactors: M..., AKA | Diversifying cropping sys...[no funder available] ,DFG| Catchments as Reactors: Metabolism of Pollutants on the Landscape Scale (CAMPOS) ,AKA| Diversifying cropping systems for Climate-Smart Agriculture (DivCSA)Dueri, Sibylle; Brown, Hamish; Asseng, Senthold; Ewert, Frank; Webber, Heidi; George, Mike; Craigie, Rob; Guarin, Jose Rafael; Pequeno, Diego N.L.; Stella, Tommaso; Ahmed, Mukhtar; Alderman, Phillip D.; Basso, Bruno; Berger, Andres G.; Mujica, Gennady Bracho; Cammarano, Davide; Chen, Yi; Dumont, Benjamin; Rezaei, Ehsan Eyshi; Fereres, Elias; Ferrise, Roberto; Gaiser, Thomas; Gao, Yujing; Garcia-Vila, Margarita; Gayler, Sebastian; Hochman, Zvi; Hoogenboom, Gerrit; Kersebaum, Kurt C.; Nendel, Claas; Olesen, Jørgen E.; Padovan, Gloria; Palosuo, Taru; Priesack, Eckart; Pullens, Johannes W.M.; Rodríguez, Alfredo; Rötter, Reimund P.; Ramos, Margarita Ruiz; Semenov, Mikhail A.; Senapati, Nimai; Siebert, Stefan; Srivastava, Amit Kumar; Stöckle, Claudio; Supit, Iwan; Tao, Fulu; Thorburn, Peter; Wang, Enli; Weber, Tobias Karl David; Xiao, Liujun; Zhao, Chuang; Zhao, Jin; Zhao, Zhigan; Zhu, Yan; Martre, Pierre; Rebetzke, Greg;Abstract Crop multi-model ensembles (MME) have proven to be effective in increasing the accuracy of simulations in modelling experiments. However, the ability of MME to capture crop responses to changes in sowing dates and densities has not yet been investigated. These management interventions are some of the main levers for adapting cropping systems to climate change. Here, we explore the performance of a MME of 29 wheat crop models to predict the effect of changing sowing dates and rates on yield and yield components, on two sites located in a high-yielding environment in New Zealand. The experiment was conducted for 6 years and provided 50 combinations of sowing date, sowing density and growing season. We show that the MME simulates seasonal growth of wheat well under standard sowing conditions, but fails under early sowing and high sowing rates. The comparison between observed and simulated in-season fraction of intercepted photosynthetically active radiation (FIPAR) for early sown wheat shows that the MME does not capture the decrease of crop above ground biomass during winter months due to senescence. Models need to better account for tiller competition for light, nutrients, and water during vegetative growth, and early tiller senescence and tiller mortality, which are exacerbated by early sowing, high sowing densities, and warmer winter temperatures.
Journal of Experimen... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2022 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAWageningen Staff PublicationsArticle . 2022License: CC BYData sources: Wageningen Staff Publicationsadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.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=10.1093/jxb/erac221&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 15 citations 15 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
visibility 26visibility views 26 download downloads 56 Powered bymore_vert Journal of Experimen... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2022 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAWageningen Staff PublicationsArticle . 2022License: CC BYData sources: Wageningen Staff Publicationsadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.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=10.1093/jxb/erac221&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2018 France, France, Finland, France, Germany, France, United States, FrancePublisher:Elsevier BV Authors: INRA, URP3F, France ( host institution ); Durand, Jean-Louis ( author ); Delusca, Kenel ( author ); Boote, Ken ( UF author ); +34 AuthorsINRA, URP3F, France ( host institution ); Durand, Jean-Louis ( author ); Delusca, Kenel ( author ); Boote, Ken ( UF author ); Lizaso, Jon ( author ); Manderscheid, Remy ( author ); Weigel, Hans Johachim ( author ); Ruane, Alex C ( author ); Rosenzweig, Cynthia ( author ); Jones, Jim ( UF author ); Ahuja, Laj ( author ); Anapalli, Saseendran ( author ); Basso, Bruno ( author ); Baron, Christian ( author ); Bertuzzi, Patrick ( author ); Biernath, Christian ( author ); Deryng, Delphine ( author ); Ewert, Frank ( author ); Gaiser, Thomas ( author ); Gayler, Sebastian ( author ); Heinlein, Florian ( author ); Kersebaum, Kurt Christian ( author ); Kim, Soo-Hyung ( author ); Müller, Christoph ( author ); Nendel, Claas ( author ); Olioso, Albert ( author ); Priesack, Eckart ( author ); Villegas, Julian Ramirez ( author ); Ripoche, Dominique ( author ); Rötter, Reimund P. ( author ); Seidel, Sabine I ( author ); Srivastava, Amit ( author ); Tao, Fulu ( author ); Timlin, Dennis ( author ); Twine, Tracy ( author ); Wang, Enli ( author ); Webber, Heidi ( author ); Zhao, Zhigan ( author );handle: 10568/79936
This study assesses the ability of 21 crop models to capture the impact of elevated CO2 concentration ([CO2]) on maize yield and water use as measured in a 2-year Free Air Carbon dioxide Enrichment experiment conducted at the Thunen Institute in Braunschweig, Germany (Manderscheid et al., 2014). Data for ambient [CO2] and irrigated treatments were provided to the 21 models for calibrating plant traits, including weather, soil and management data as well as yield, grain number, above ground biomass, leaf area index, nitrogen concentration in biomass and grain, water use and soil water content. Models differed in their representation of carbon assimilation and evapotranspiration processes. The models reproduced the absence of yield response to elevated [CO2] under well-watered conditions, as well as the impact of water deficit at ambient [CO2], with 50% of models within a range of +/−1 Mg ha−1 around the mean. The bias of the median of the 21 models was less than 1 Mg ha−1. However under water deficit in one of the two years, the models captured only 30% of the exceptionally high [CO2] enhancement on yield observed. Furthermore the ensemble of models was unable to simulate the very low soil water content at anthesis and the increase of soil water and grain number brought about by the elevated [CO2] under dry conditions. Overall, we found models with explicit stomatal control on transpiration tended to perform better. Our results highlight the need for model improvement with respect to simulating transpirational water use and its impact on water status during the kernel-set phase.
University of Florid... arrow_drop_down University of Florida: Digital Library CenterArticle . 2017License: CC BY NC NDFull-Text: http://ufdc.ufl.edu/LS00590868/00001Data sources: Bielefeld Academic Search Engine (BASE)CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2017Full-Text: https://hdl.handle.net/10568/79936Data sources: Bielefeld Academic Search Engine (BASE)INRIA a CCSD electronic archive serverArticle . 2017Data sources: INRIA a CCSD electronic archive serverEuropean Journal of AgronomyArticle . 2018 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefPublication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2018Data sources: Bielefeld Academic Search Engine (BASE)CIRAD: HAL (Agricultural Research for Development)Article . 2018Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.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.eja.2017.01.002&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 79 citations 79 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert University of Florid... arrow_drop_down University of Florida: Digital Library CenterArticle . 2017License: CC BY NC NDFull-Text: http://ufdc.ufl.edu/LS00590868/00001Data sources: Bielefeld Academic Search Engine (BASE)CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2017Full-Text: https://hdl.handle.net/10568/79936Data sources: Bielefeld Academic Search Engine (BASE)INRIA a CCSD electronic archive serverArticle . 2017Data sources: INRIA a CCSD electronic archive serverEuropean Journal of AgronomyArticle . 2018 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefPublication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2018Data sources: Bielefeld Academic Search Engine (BASE)CIRAD: HAL (Agricultural Research for Development)Article . 2018Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.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.eja.2017.01.002&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022Publisher:Resilience Alliance, Inc. Ahmad Hamidov; Katrin Daedlow; Heidi Webber; Hussam Hussein; Ilhom Abdurahmanov; Aleksandr Dolidudko; Ali Yawar Seerat; Umida Solieva; Tesfaye Woldeyohanes; Katharina Helming;Dans les systèmes socio-écologiques, la gestion des ressources naturelles peut être caractérisée par des compromis entre les secteurs et les objectifs de durabilité. Le concept de lien eau-énergie-alimentation (WEF) fait explicitement divers compromis afin de maximiser les synergies des interventions. Cependant, il existe peu d'exemples réussis de son opérationnalisation dans les contextes de recherche. Ici, nous explorons dans un contexte d'apprentissage si les protocoles d'évaluation de l'impact sur la durabilité (SIA) peuvent être un processus utile à utiliser pour adopter une perspective systémique et interdisciplinaire pour opérationnaliser le lien WEF dans la recherche pour le développement durable. Le processus et la méthode adoptés du protocole SIA, évaluées pour cinq cas exemplaires de lien avec le FEM en Asie centrale au cours d'un atelier international d'une semaine, ont abordé de manière adéquate la complexité des interrelations du FEM et les questions de durabilité associées, et ont facilité une analyse comparative des études de cas à différentes échelles. Les résultats de ce processus soulignent que la gouvernance de l'eau était essentielle pour la gestion transfrontalière à grande échelle du lien avec le FEM, tandis que la gestion des terres et des sols était décisive pour minimiser les compromis au niveau local. Les questions d'interdisciplinarité, de complexité, d'incertitude et de réflexion sur les impacts ont été abordées de manière adéquate, mais des défis subsistent dans la prise en compte de l'éthique et la conception d'une approche transparente, la coopération multi-acteurs. Plus important encore, cet exercice a montré que l'utilisation du processus du protocole SIA aidait les experts disciplinaires à travailler dans toutes les disciplines et à adopter une approche systémique pour analyser le lien avec le FEM. En los sistemas socioecológicos, la gestión de los recursos naturales puede caracterizarse por compensaciones entre sectores y objetivos de sostenibilidad. El concepto de nexo agua-energía-alimentos (WEF) hace explícitas varias compensaciones para maximizar las sinergias de las intervenciones. Sin embargo, hay pocos ejemplos exitosos de su operacionalización en entornos de investigación. Aquí, exploramos en un entorno de aprendizaje si los protocolos de evaluación de impacto de sostenibilidad (SIA) pueden ser un proceso útil para ser utilizado para adoptar una perspectiva sistémica e interdisciplinaria para operacionalizar el nexo WEF en la investigación para el desarrollo sostenible. El proceso y el método adoptados del protocolo SIA, evaluado para cinco casos ejemplares de nexo del FEM en Asia Central durante un taller internacional de una semana de duración, abordó adecuadamente la complejidad de las interrelaciones del FEM y los problemas de sostenibilidad asociados, y facilitó un análisis comparativo de estudios de casos en todas las escalas. Los resultados dentro de este proceso destacan que la gobernanza del agua era fundamental para la gestión del nexo del FEM transfronterizo a gran escala, mientras que la gestión de la tierra y el suelo era decisiva para minimizar las compensaciones a nivel local. Las cuestiones de interdisciplinariedad, complejidad, incertidumbre y reflexión sobre los impactos se abordaron adecuadamente, pero siguen existiendo desafíos en la consideración de la ética y el diseño de, cooperación de múltiples actores. Lo más importante es que este ejercicio mostró que el empleo del proceso del protocolo SIA apoyó a los expertos disciplinarios para trabajar en todas las disciplinas y adoptar un enfoque sistémico para analizar el nexo del WEF. In social-ecological systems, natural resource management can be characterized by trade-offs across sectors and sustainability targets.The water-energy-food (WEF) nexus concept makes explicit various trade-offs in order to maximize synergies of interventions.However, there are few successful examples of its operationalization in research settings.Here, we explore in a learning setting if sustainability impact assessment (SIA) protocols can be a useful process to be used to adopt a systemic, interdisciplinary perspective to operationalize WEF nexus in research for sustainable development.The process and method adopted of SIA protocol, evaluated for five exemplary WEF nexus cases in Central Asia during a week-long international workshop, adequately addressed the complexity of WEF interrelationships and associated sustainability issues, and facilitated a comparative case study analysis across scales.Results within this process highlight that water governance was critical for large-scale transboundary WEF nexus management, while land and soil management were decisive for minimizing trade-offs at local levels.Issues of interdisciplinarity, complexity, uncertainty, and reflection on impacts were adequately addressed, but challenges remain in the consideration of ethics and the design of transparent, multi-actor cooperation.Most importantly, this exercise showed that employment of the process of SIA protocol supported disciplinary experts to work across disciplines and take a systemic approach for analyzing WEF nexus. في النظم الاجتماعية والبيئية، يمكن أن تتميز إدارة الموارد الطبيعية بالمقايضات عبر القطاعات وأهداف الاستدامة. يوضح مفهوم العلاقة بين المياه والطاقة والغذاء (WEF) مقايضات مختلفة صريحة من أجل تحقيق أقصى قدر من التآزر بين التدخلات. ومع ذلك، هناك عدد قليل من الأمثلة الناجحة لتفعيلها في بيئات البحث. هنا، نستكشف في بيئة التعلم ما إذا كانت بروتوكولات تقييم تأثير الاستدامة (SIA) يمكن أن تكون عملية مفيدة لاستخدامها لتبني منظور منهجي متعدد التخصصات لتفعيل العلاقة بين WEF في البحث من أجل التنمية المستدامة. العملية والطريقة المعتمدة لبروتوكول SIA، تم تقييمها لخمس حالات نموذجية للصلة بين المنتدى الاقتصادي العالمي في آسيا الوسطى خلال ورشة عمل دولية استمرت أسبوعًا، وتناولت بشكل كافٍ تعقيد العلاقات المتبادلة بين المنتدى الاقتصادي العالمي وقضايا الاستدامة المرتبطة بها، وسهلت تحليل دراسة حالة مقارنة عبر المقاييس. تسلط النتائج ضمن هذه العملية الضوء على أن إدارة المياه كانت حاسمة لإدارة الصلة بين المنتدى الاقتصادي العالمي على نطاق واسع عبر الحدود، في حين أن إدارة الأراضي والتربة كانت حاسمة لتقليل المفاضلات على المستويات المحلية. تمت معالجة قضايا تعدد التخصصات والتعقيد وعدم اليقين والتفكير في التأثيرات بشكل كافٍ، ولكن لا تزال هناك تحديات في النظر في الأخلاقيات وتصميم الشفافية، التعاون متعدد الجهات الفاعلة. الأهم من ذلك، أظهر هذا التمرين أن توظيف عملية بروتوكول SIA دعم الخبراء التأديبيين للعمل عبر التخصصات واتخاذ نهج منهجي لتحليل العلاقة بين المنتدى الاقتصادي العالمي.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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You have already added works in your ORCID record related to the merged Research product.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=10.5751/es-12891-270112&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 15 citations 15 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
visibility 359visibility views 359 download downloads 125 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2018 France, Germany, India, IndiaPublisher:IOP Publishing Babacar Faye; Heidi Webber; Jesse B. Naab; Dilys S. MacCarthy; Myriam Adam; Frank Ewert; John P. A. Lamers; Carl‐Friedrich Schleussner; Alex C. Ruane; Ursula Geßner; Gerrit Hoogenboom; Kenneth J. Boote; Vakhtang Shelia; Fahad Saeed; Dominik Wisser; Sofia Hadir; Patrick Laux; Thomas Gaiser;Pour réduire les risques du changement climatique, les gouvernements ont convenu dans l'Accord de Paris de limiter l'augmentation de la température mondiale à moins de 2,0 °C par rapport aux niveaux préindustriels, avec l'ambition de maintenir le réchauffement à 1,5 °C. La cartographie des réponses d'atténuation appropriées nécessite des informations sur les coûts d'atténuation par rapport aux dommages associés pour les deux niveaux de réchauffement. Dans cette évaluation, une considération critique est l'impact sur les rendements des cultures et la variabilité des rendements dans les régions actuellement confrontées à l'insécurité alimentaire. La présente étude a évalué les impacts de 1,5 °C par rapport à 2,0 °C sur les rendements du maïs, du millet perlé et du sorgho dans la savane soudanaise d'Afrique de l'Ouest en utilisant deux modèles de culture qui ont été calibrés avec des variétés communes issues d'expériences dans la région, la gestion reflétant une gamme de fenêtres de semis typiques. Comme l'intensification durable est encouragée dans la région pour améliorer la sécurité alimentaire, des simulations ont été menées à la fois pour l'utilisation actuelle d'engrais et pour un cas d'intensification (fertilité non limitative). Avec l'utilisation actuelle d'engrais, les résultats ont indiqué des pertes plus élevées de 2 % pour le maïs et le sorgho avec 2,0 °C par rapport au réchauffement de 1,5 °C, sans changement dans les rendements en mil pour aucun des scénarios. Dans le cas de l'intensification, les pertes de rendement dues au changement climatique étaient plus importantes qu'avec les niveaux actuels d'engrais. Cependant, malgré les pertes plus importantes, les rendements ont toujours été deux à trois fois plus élevés avec l'intensification, quel que soit le scénario de réchauffement. Bien que la variabilité du rendement ait augmenté avec l'intensification, il n'y avait aucune interaction avec le scénario de réchauffement. Une analyse des risques et du marché est nécessaire pour étendre ces résultats afin de comprendre les implications pour la sécurité alimentaire. Para reducir los riesgos del cambio climático, los gobiernos acordaron en el Acuerdo de París limitar el aumento de la temperatura global a menos de 2,0 °C por encima de los niveles preindustriales, con la ambición de mantener el calentamiento a 1,5 °C. El trazado de las respuestas de mitigación apropiadas requiere información sobre los costos de la mitigación frente a los daños asociados para los dos niveles de calentamiento. En esta evaluación, una consideración crítica es el impacto en los rendimientos de los cultivos y la variabilidad del rendimiento en las regiones actualmente desafiadas por la inseguridad alimentaria. El estudio actual evaluó los impactos de 1,5 °C frente a 2,0 °C en los rendimientos de maíz, mijo perla y sorgo en la sabana de Sudán de África Occidental utilizando dos modelos de cultivo que se calibraron con variedades comunes de experimentos en la región con un manejo que refleja una gama de ventanas de siembra típicas. A medida que se promueve la intensificación sostenible en la región para mejorar la seguridad alimentaria, se realizaron simulaciones tanto para el uso actual de fertilizantes como para un caso de intensificación (fertilidad no limitante). Con el uso actual de fertilizantes, los resultados indicaron pérdidas un 2% mayores para el maíz y el sorgo con 2,0 °C en comparación con el calentamiento de 1,5 °C, sin cambios en los rendimientos de mijo para ninguno de los dos escenarios. En el caso de la intensificación, las pérdidas de rendimiento debido al cambio climático fueron mayores que con los niveles actuales de fertilizantes. Sin embargo, a pesar de las mayores pérdidas, los rendimientos siempre fueron de dos a tres veces más altos con la intensificación, independientemente del escenario de calentamiento. Aunque la variabilidad del rendimiento aumentó con la intensificación, no hubo interacción con el escenario de calentamiento. Se necesitan análisis de riesgos y de mercado para ampliar estos resultados y comprender las implicaciones para la seguridad alimentaria. To reduce the risks of climate change, governments agreed in the Paris Agreement to limit global temperature rise to less than 2.0 °C above pre-industrial levels, with the ambition to keep warming to 1.5 °C. Charting appropriate mitigation responses requires information on the costs of mitigating versus associated damages for the two levels of warming. In this assessment, a critical consideration is the impact on crop yields and yield variability in regions currently challenged by food insecurity. The current study assessed impacts of 1.5 °C versus 2.0 °C on yields of maize, pearl millet and sorghum in the West African Sudan Savanna using two crop models that were calibrated with common varieties from experiments in the region with management reflecting a range of typical sowing windows. As sustainable intensification is promoted in the region for improving food security, simulations were conducted for both current fertilizer use and for an intensification case (fertility not limiting). With current fertilizer use, results indicated 2% units higher losses for maize and sorghum with 2.0 °C compared to 1.5 °C warming, with no change in millet yields for either scenario. In the intensification case, yield losses due to climate change were larger than with current fertilizer levels. However, despite the larger losses, yields were always two to three times higher with intensification, irrespective of the warming scenario. Though yield variability increased with intensification, there was no interaction with warming scenario. Risk and market analysis are needed to extend these results to understand implications for food security. للحد من مخاطر تغير المناخ، اتفقت الحكومات في اتفاقية باريس على الحد من ارتفاع درجة الحرارة العالمية إلى أقل من 2.0 درجة مئوية فوق مستويات ما قبل الصناعة، مع طموح للحفاظ على ارتفاع درجة الحرارة إلى 1.5 درجة مئوية. يتطلب رسم استجابات التخفيف المناسبة معلومات عن تكاليف التخفيف مقابل الأضرار المرتبطة بمستويي الاحترار. في هذا التقييم، يتمثل أحد الاعتبارات الهامة في التأثير على غلة المحاصيل وتقلب الغلة في المناطق التي تواجه حاليًا انعدام الأمن الغذائي. قيمت الدراسة الحالية تأثيرات 1.5 درجة مئوية مقابل 2.0 درجة مئوية على غلة الذرة والدخن اللؤلؤي والذرة الرفيعة في سافانا غرب إفريقيا باستخدام نموذجين للمحاصيل تمت معايرتهما بأصناف شائعة من التجارب في المنطقة مع الإدارة التي تعكس مجموعة من نوافذ البذر النموذجية. ومع تعزيز التكثيف المستدام في المنطقة لتحسين الأمن الغذائي، أجريت عمليات محاكاة لكل من الاستخدام الحالي للأسمدة وحالة التكثيف (الخصوبة غير محدودة). مع استخدام الأسمدة الحالي، أشارت النتائج إلى خسائر أعلى بنسبة 2 ٪ للذرة والذرة الرفيعة مع 2.0 درجة مئوية مقارنة بالاحترار 1.5 درجة مئوية، مع عدم وجود تغيير في غلة الدخن لأي من السيناريوهين. في حالة التكثيف، كانت خسائر الغلة بسبب تغير المناخ أكبر من مستويات الأسمدة الحالية. ومع ذلك، على الرغم من الخسائر الأكبر، كانت الغلة دائمًا أعلى مرتين إلى ثلاث مرات مع التكثيف، بغض النظر عن سيناريو الاحترار. على الرغم من زيادة تقلب المحصول مع التكثيف، لم يكن هناك تفاعل مع سيناريو الاحترار. هناك حاجة إلى تحليل المخاطر والسوق لتوسيع نطاق هذه النتائج لفهم الآثار المترتبة على الأمن الغذائي.
Publication Database... arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2018License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.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/aaab40&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 73 citations 73 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Publication Database... arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2018License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.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/aaab40&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2018 Germany, France, France, Spain, United Kingdom, Australia, France, United Kingdom, Finland, DenmarkPublisher:Wiley Funded by:EC | AGREENSKILLS, AKA | Pathways for linking unce..., AKA | Integrated modelling of N... +1 projectsEC| AGREENSKILLS ,AKA| Pathways for linking uncertainties in model projections of climate and its effects / Consortium: PLUMES ,AKA| Integrated modelling of Nordic farming systems for sustainable intensification under climate change (NORFASYS) ,AKA| Integrated modelling of Nordic farming systems for sustainable intensification under climate change (NORFASYS)Davide Cammarano; Mikhail A. Semenov; Heidi Horan; Yujing Gao; Frank Ewert; Jørgen E. Olesen; Joost Wolf; Curtis D. Jones; M. Ali Babar; Belay T. Kassie; Manuel Montesino San Martin; Sebastian Gayler; Andrea Maiorano; Dominique Ripoche; Bing Liu; Bing Liu; Pierre Stratonovitch; Zhigan Zhao; Zhigan Zhao; Bruno Basso; Zhao Zhang; Liujun Xiao; Pierre Martre; Claudio O. Stöckle; Garry O'Leary; Mukhtar Ahmed; Mukhtar Ahmed; Elias Fereres; Taru Palosuo; Daniel Wallach; R. Cesar Izaurralde; R. Cesar Izaurralde; Matthew P. Reynolds; Reimund P. Rötter; Ann-Kristin Koehler; Marijn van der Velde; Andrew J. Challinor; Andrew J. Challinor; Peter J. Thorburn; Mohamed Jabloun; Rosella Motzo; Sara Minoli; Benjamin Dumont; Kurt Christian Kersebaum; Claas Nendel; Glenn J. Fitzgerald; Juraj Balkovic; Juraj Balkovic; Marco Bindi; Eckart Priesack; Heidi Webber; Enli Wang; Giacomo De Sanctis; Christian Klein; Christoph Müller; Gerrit Hoogenboom; Francesco Giunta; Alex C. Ruane; Christine Girousse; Margarita Garcia-Vila; Ehsan Eyshi Rezaei; Ehsan Eyshi Rezaei; Thilo Streck; Iwan Supit; Roberto Ferrise; Christian Biernath; Soora Naresh Kumar; Pramod K. Aggarwal; Fulu Tao; Katharina Waha; Yan Zhu; Senthold Asseng; Ahmed M. S. Kheir; John R. Porter; John R. Porter; John R. Porter;AbstractWheat grain protein concentration is an important determinant of wheat quality for human nutrition that is often overlooked in efforts to improve crop production. We tested and applied a 32‐multi‐model ensemble to simulate global wheat yield and quality in a changing climate. Potential benefits of elevated atmospheric CO2 concentration by 2050 on global wheat grain and protein yield are likely to be negated by impacts from rising temperature and changes in rainfall, but with considerable disparities between regions. Grain and protein yields are expected to be lower and more variable in most low‐rainfall regions, with nitrogen availability limiting growth stimulus from elevated CO2. Introducing genotypes adapted to warmer temperatures (and also considering changes in CO2 and rainfall) could boost global wheat yield by 7% and protein yield by 2%, but grain protein concentration would be reduced by −1.1 percentage points, representing a relative change of −8.6%. Climate change adaptations that benefit grain yield are not always positive for grain quality, putting additional pressure on global wheat production.
CORE arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2020Full-Text: https://hdl.handle.net/10568/106685Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2019 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAUniversity of Copenhagen: ResearchArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)Global Change BiologyArticle . 2018 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefNatural Resources Institute Finland: JukuriArticleData sources: Bielefeld Academic Search Engine (BASE)The University of Melbourne: Digital RepositoryArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)CIRAD: HAL (Agricultural Research for Development)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.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=10.1111/gcb.14481&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 357 citations 357 popularity Top 0.1% influence Top 1% impulse Top 0.1% Powered by BIP!
visibility 53visibility views 53 download downloads 425 Powered bymore_vert CORE arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2020Full-Text: https://hdl.handle.net/10568/106685Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2019 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAUniversity of Copenhagen: ResearchArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)Global Change BiologyArticle . 2018 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefNatural Resources Institute Finland: JukuriArticleData sources: Bielefeld Academic Search Engine (BASE)The University of Melbourne: Digital RepositoryArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)CIRAD: HAL (Agricultural Research for Development)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.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=10.1111/gcb.14481&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2021 GermanyPublisher:Springer Science and Business Media LLC Funded by:NSF | DMUU: Center for Robust D..., NSF | Graduate Research Fellows..., EC | EARTH@LTERNATIVES +1 projectsNSF| DMUU: Center for Robust Decision-Making Tools for Climate and Energy Policy ,NSF| Graduate Research Fellowship Program (GRFP) ,EC| EARTH@LTERNATIVES ,NSF| NRT INFEWS: computational data science to advance research at the energy-environment nexusHaynes Stephens; Meridel Phillips; Meridel Phillips; Rastislav Skalsky; Jens Heinke; Tommaso Stella; Babacar Faye; Masashi Okada; Jonas Jägermeyr; Jonas Jägermeyr; Jonas Jägermeyr; David Kelly; Juraj Balkovic; Juraj Balkovic; Oleksandr Mialyk; Alex C. Ruane; Toshichika Iizumi; Christoph Müller; Stefan Lange; Oscar Castillo; Gerrit Hoogenboom; Kathrin Fuchs; Joep F. Schyns; James A. Franke; Wenfeng Liu; Sara Minoli; Heidi Webber; Cynthia Rosenzweig; Clemens Scheer; Joshua Elliott; Elisabeth J. Moyer; Sam S. Rabin; Sam S. Rabin; Cheryl Porter; Christian Folberth; Ian Foster; Atul K. Jain; Nikolay Khabarov; Florian Zabel; Tzu-Shun Lin; Andrew Smerald; Julia M. Schneider; Jose R. Guarin; Jose R. Guarin;pmid: 37117503
Potential climate-related impacts on future crop yield are a major societal concern. Previous projections of the Agricultural Model Intercomparison and Improvement Project's Global Gridded Crop Model Intercomparison based on the Coupled Model Intercomparison Project Phase 5 identified substantial climate impacts on all major crops, but associated uncertainties were substantial. Here we report new twenty-first-century projections using ensembles of latest-generation crop and climate models. Results suggest markedly more pessimistic yield responses for maize, soybean and rice compared to the original ensemble. Mean end-of-century maize productivity is shifted from +5% to -6% (SSP126) and from +1% to -24% (SSP585)-explained by warmer climate projections and improved crop model sensitivities. In contrast, wheat shows stronger gains (+9% shifted to +18%, SSP585), linked to higher CO2 concentrations and expanded high-latitude gains. The 'emergence' of climate impacts consistently occurs earlier in the new projections-before 2040 for several main producing regions. While future yield estimates remain uncertain, these results suggest that major breadbasket regions will face distinct anthropogenic climatic risks sooner than previously anticipated.
KITopen (Karlsruhe I... arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.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/s43016-021-00400-y&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesbronze 375 citations 375 popularity Top 0.1% influence Top 1% impulse Top 0.01% Powered by BIP!
more_vert KITopen (Karlsruhe I... arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.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/s43016-021-00400-y&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2019Publisher:Leibniz Centre for Agricultural Landscape Research (ZALF), Muencheberg (Germany) Webber, Heidi; Ababei, Behnam; Bindhi, Marco; Ewert, Frank; Ferrise, Roberto; Fronzek, Stefan; Gabaldón-Leal, Clara; Gaiser, Thomas; Jabloun, Mohamed; Kersebaum, Kurt-Christian; Lizaso, Jon I.; Lorite, Ignacio; Manceau, Loic; Moriondo, Marco; Martre, Pierre; Nándor, Fodor; Nendel, Claas; Olesen, Jørgen E.; Rodríguez, Alfredo; Ruane, Alex; Ruiz-Ramos, Margarita; Semenov, Mikhail A.; Siebert, Stefan; Stella, Tommaso; Stratonovitch, Pierre; Trombi, Giacomo;doi: 10.4228/zalf.dk.88
This dataset comprises the output data of simulations carried out by nine different crop modelling groups for grain maize and winter wheat over the EU-27. Five models simulated both maize and wheat (4M; FASSET, FA, HERMES, HE, MONICA, MO and SIMPLACE-Lintul5, L5), three models simulated only winter wheat (SIRIUS 2015, S2; SiriusQuality v3, SQ) and IXIM, IX simulated only grain maize. All models included a heat stress response that reduces the final yield under high temperatures, mechanisms to reduce growth and leaf area under water limitation, and account for the effects of CO2 on either radiation use efficiency (RUE) or photosynthesis. Five of the models include algorithms to estimate crop canopy temperature (FA, L5, HE, SS, S2). All models, except for sQ and S2 also include the effects of CO2 on reducing transpiration. Simulations were conducted for combinations of three representative concentration pathways (RCPs) and five general circulation models (GCMs). Time periods considered were 2040-2069 and 2070-2099 for the projection scenarios, and years 1980-2010 for a historical period. Parts of this dataset were used as the basis for analyzing crop responses to climate, as described in Webber et al. 2018. Other key details and a more extensive description of each model's consideration of heat and drought stress are listed in the supplementary materials of Webber et al. 2018.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.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=10.4228/zalf.dk.88&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2019 France, Finland, Denmark, France, Germany, Spain, United Kingdom, France, United KingdomPublisher:Wiley Funded by:AKA | Pathways for linking unce..., AKA | Integrated modelling of N..., AKA | Pathways for linking unce... +1 projectsAKA| Pathways for linking uncertainties in model projections of climate and its effects / Consortium: PLUMES ,AKA| Integrated modelling of Nordic farming systems for sustainable intensification under climate change (NORFASYS) ,AKA| Pathways for linking uncertainties in model projections of climate and its effects / Consortium: PLUMES ,AKA| Integrated modelling of Nordic farming systems for sustainable intensification under climate change (NORFASYS)Authors: Ann-Kristin Koehler; Peter J. Thorburn; Sebastian Gayler; Margarita Garcia-Vila; +63 AuthorsAnn-Kristin Koehler; Peter J. Thorburn; Sebastian Gayler; Margarita Garcia-Vila; Curtis D. Jones; Ehsan Eyshi Rezaei; Ehsan Eyshi Rezaei; Bruno Basso; Reimund P. Rötter; Andrew J. Challinor; Andrew J. Challinor; Garry O'Leary; Andrea Maiorano; Andrea Maiorano; Heidi Webber; Mónica Espadafor; Davide Cammarano; Fulu Tao; Zhao Zhang; Mikhail A. Semenov; Pierre Martre; Taru Palosuo; Daniel Wallach; Marijn van der Velde; Liujun Xiao; Liujun Xiao; Thilo Streck; Juraj Balkovic; Juraj Balkovic; Roberto C. Izaurralde; Roberto C. Izaurralde; Katharina Waha; Bing Liu; Joost Wolf; Claas Nendel; Iwan Supit; Christoph Müller; Alex C. Ruane; Roberto Ferrise; Senthold Asseng; Gerrit Hoogenboom; Frank Ewert; Christian Biernath; Soora Naresh Kumar; Giacomo De Sanctis; Marco Bindi; Zhigan Zhao; Zhigan Zhao; Kurt Christian Kersebaum; Dominique Ripoche; Eckart Priesack; John R. Porter; John R. Porter; John R. Porter; Heidi Horan; Belay T. Kassie; Enli Wang; Pramod K. Aggarwal; Christian Klein; Yujing Gao; Benjamin Dumont; Manuel Montesino San Martin; Yan Zhu; Sara Minoli; Claudio O. Stöckle; Mukhtar Ahmed; Mukhtar Ahmed;AbstractEfforts to limit global warming to below 2°C in relation to the pre‐industrial level are under way, in accordance with the 2015 Paris Agreement. However, most impact research on agriculture to date has focused on impacts of warming >2°C on mean crop yields, and many previous studies did not focus sufficiently on extreme events and yield interannual variability. Here, with the latest climate scenarios from the Half a degree Additional warming, Prognosis and Projected Impacts (HAPPI) project, we evaluated the impacts of the 2015 Paris Agreement range of global warming (1.5 and 2.0°C warming above the pre‐industrial period) on global wheat production and local yield variability. A multi‐crop and multi‐climate model ensemble over a global network of sites developed by the Agricultural Model Intercomparison and Improvement Project (AgMIP) for Wheat was used to represent major rainfed and irrigated wheat cropping systems. Results show that projected global wheat production will change by −2.3% to 7.0% under the 1.5°C scenario and −2.4% to 10.5% under the 2.0°C scenario, compared to a baseline of 1980–2010, when considering changes in local temperature, rainfall, and global atmospheric CO2 concentration, but no changes in management or wheat cultivars. The projected impact on wheat production varies spatially; a larger increase is projected for temperate high rainfall regions than for moderate hot low rainfall and irrigated regions. Grain yields in warmer regions are more likely to be reduced than in cooler regions. Despite mostly positive impacts on global average grain yields, the frequency of extremely low yields (bottom 5 percentile of baseline distribution) and yield inter‐annual variability will increase under both warming scenarios for some of the hot growing locations, including locations from the second largest global wheat producer—India, which supplies more than 14% of global wheat. The projected global impact of warming <2°C on wheat production is therefore not evenly distributed and will affect regional food security across the globe as well as food prices and trade.
CGIAR CGSpace (Consu... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2019Full-Text: https://hdl.handle.net/10568/106027Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2019 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAUniversity of Copenhagen: ResearchArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)Global Change BiologyArticle . 2019 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefPublication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)CIRAD: HAL (Agricultural Research for Development)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.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=10.1111/gcb.14542&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 125 citations 125 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
visibility 38visibility views 38 download downloads 616 Powered bymore_vert CGIAR CGSpace (Consu... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2019Full-Text: https://hdl.handle.net/10568/106027Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2019 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAUniversity of Copenhagen: ResearchArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)Global Change BiologyArticle . 2019 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefPublication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)CIRAD: HAL (Agricultural Research for Development)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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description Publicationkeyboard_double_arrow_right Article , Other literature type 2023Publisher:Oxford University Press (OUP) Tommaso Stella; Heidi Webber; Ehsan Eyshi Rezaei; Senthold Asseng; Pierre Martre; Sibylle Dueri; Jose Rafael Guarin; Diego Noleto Luz Pequeno; Daniel F. Calderini; Matthew Reynolds; Gemma Molero; Daniel J. Miralles; Guillermo A. García; Gustavo A. Slafer; Francesco Giunta; Yean‐Uk Kim; Chenzhi Wang; Alex C. Ruane; Frank Ewert;Abstract Increasing genetic wheat yield potential is considered by many as critical to increasing global wheat yields and production, baring major changes in consumption patterns. Climate change challenges breeding by making target environments less predictable, altering regional productivity and potentially increasing yield variability. Here we used a crop simulation model solution in the SIMPLACE framework to explore yield sensitivity to select trait characteristics (radiation use efficiency [RUE], fruiting efficiency and light extinction coefficient) across 34 locations representing the world’s wheat-producing environments, determining their relationship to increasing yields, yield variability and cultivar performance. The magnitude of the yield increase was trait-dependent and differed between irrigated and rainfed environments. RUE had the most prominent marginal effect on yield, which increased by about 45 % and 33 % in irrigated and rainfed sites, respectively, between the minimum and maximum value of the trait. Altered values of light extinction coefficient had the least effect on yield levels. Higher yields from improved traits were generally associated with increased inter-annual yield variability (measured by standard deviation), but the relative yield variability (as coefficient of variation) remained largely unchanged between base and improved genotypes. This was true under both current and future climate scenarios. In this context, our study suggests higher wheat yields from these traits would not increase climate risk for farmers and the adoption of cultivars with these traits would not be associated with increased yield variability.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.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=10.1093/insilicoplants/diad013&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 3 citations 3 popularity Top 10% influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.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=10.1093/insilicoplants/diad013&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2020 India, India, France, South Africa, Australia, Finland, FrancePublisher:Wiley Gatien N. Falconnier; Marc Corbeels; Kenneth J. Boote; François Affholder; Myriam Adam; Dilys S. MacCarthy; Alex C. Ruane; Claas Nendel; Anthony M. Whitbread; Éric Justes; Lajpat R. Ahuja; Folorunso M. Akinseye; Isaac N. Alou; Kokou A. Amouzou; Saseendran S. Anapalli; Christian Baron; Bruno Basso; Frédéric Baudron; Patrick Bertuzzi; Andrew J. Challinor; Yi Chen; Delphine Deryng; Maha L. Elsayed; Babacar Faye; Thomas Gaiser; Marcelo Galdos; Sebastian Gayler; Edward Gerardeaux; Michel Giner; Brian Grant; Gerrit Hoogenboom; Esther S. Ibrahim; Bahareh Kamali; Kurt Christian Kersebaum; Soo‐Hyung Kim; Michael van der Laan; Louise Leroux; Jon I. Lizaso; Bernardo Maestrini; Elizabeth A. Meier; Fasil Mequanint; Alain Ndoli; Cheryl H. Porter; Eckart Priesack; Dominique Ripoche; Tesfaye S. Sida; Upendra Singh; Ward N. Smith; Amit Srivastava; Sumit Sinha; Fulu Tao; Peter J. Thorburn; Dennis Timlin; Bouba Traore; Tracy Twine; Heidi Webber;AbstractSmallholder farmers in sub‐Saharan Africa (SSA) currently grow rainfed maize with limited inputs including fertilizer. Climate change may exacerbate current production constraints. Crop models can help quantify the potential impact of climate change on maize yields, but a comprehensive multimodel assessment of simulation accuracy and uncertainty in these low‐input systems is currently lacking. We evaluated the impact of varying [CO2], temperature and rainfall conditions on maize yield, for different nitrogen (N) inputs (0, 80, 160 kg N/ha) for five environments in SSA, including cool subhumid Ethiopia, cool semi‐arid Rwanda, hot subhumid Ghana and hot semi‐arid Mali and Benin using an ensemble of 25 maize models. Models were calibrated with measured grain yield, plant biomass, plant N, leaf area index, harvest index and in‐season soil water content from 2‐year experiments in each country to assess their ability to simulate observed yield. Simulated responses to climate change factors were explored and compared between models. Calibrated models reproduced measured grain yield variations well with average relative root mean square error of 26%, although uncertainty in model prediction was substantial (CV = 28%). Model ensembles gave greater accuracy than any model taken at random. Nitrogen fertilization controlled the response to variations in [CO2], temperature and rainfall. Without N fertilizer input, maize (a) benefited less from an increase in atmospheric [CO2]; (b) was less affected by higher temperature or decreasing rainfall; and (c) was more affected by increased rainfall because N leaching was more critical. The model intercomparison revealed that simulation of daily soil N supply and N leaching plays a crucial role in simulating climate change impacts for low‐input systems. Climate change and N input interactions have strong implications for the design of robust adaptation approaches across SSA, because the impact of climate change in low input systems will be modified if farmers intensify maize production with balanced nutrient management.
Hyper Article en Lig... arrow_drop_down Hyper Article en LigneArticle . 2020Full-Text: https://hal.inrae.fr/hal-03127406/documentData sources: Hyper Article en LigneCIRAD: HAL (Agricultural Research for Development)Article . 2020Full-Text: https://hal.inrae.fr/hal-03127406Data sources: Bielefeld Academic Search Engine (BASE)Global Change BiologyArticle . 2020 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefThe University of Queensland: UQ eSpaceArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.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=10.1111/gcb.15261&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesbronze 72 citations 72 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Hyper Article en Lig... arrow_drop_down Hyper Article en LigneArticle . 2020Full-Text: https://hal.inrae.fr/hal-03127406/documentData sources: Hyper Article en LigneCIRAD: HAL (Agricultural Research for Development)Article . 2020Full-Text: https://hal.inrae.fr/hal-03127406Data sources: Bielefeld Academic Search Engine (BASE)Global Change BiologyArticle . 2020 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefThe University of Queensland: UQ eSpaceArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.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=10.1111/gcb.15261&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type 2022 Finland, Netherlands, SpainPublisher:Oxford University Press (OUP) Funded by:, DFG | Catchments as Reactors: M..., AKA | Diversifying cropping sys...[no funder available] ,DFG| Catchments as Reactors: Metabolism of Pollutants on the Landscape Scale (CAMPOS) ,AKA| Diversifying cropping systems for Climate-Smart Agriculture (DivCSA)Dueri, Sibylle; Brown, Hamish; Asseng, Senthold; Ewert, Frank; Webber, Heidi; George, Mike; Craigie, Rob; Guarin, Jose Rafael; Pequeno, Diego N.L.; Stella, Tommaso; Ahmed, Mukhtar; Alderman, Phillip D.; Basso, Bruno; Berger, Andres G.; Mujica, Gennady Bracho; Cammarano, Davide; Chen, Yi; Dumont, Benjamin; Rezaei, Ehsan Eyshi; Fereres, Elias; Ferrise, Roberto; Gaiser, Thomas; Gao, Yujing; Garcia-Vila, Margarita; Gayler, Sebastian; Hochman, Zvi; Hoogenboom, Gerrit; Kersebaum, Kurt C.; Nendel, Claas; Olesen, Jørgen E.; Padovan, Gloria; Palosuo, Taru; Priesack, Eckart; Pullens, Johannes W.M.; Rodríguez, Alfredo; Rötter, Reimund P.; Ramos, Margarita Ruiz; Semenov, Mikhail A.; Senapati, Nimai; Siebert, Stefan; Srivastava, Amit Kumar; Stöckle, Claudio; Supit, Iwan; Tao, Fulu; Thorburn, Peter; Wang, Enli; Weber, Tobias Karl David; Xiao, Liujun; Zhao, Chuang; Zhao, Jin; Zhao, Zhigan; Zhu, Yan; Martre, Pierre; Rebetzke, Greg;Abstract Crop multi-model ensembles (MME) have proven to be effective in increasing the accuracy of simulations in modelling experiments. However, the ability of MME to capture crop responses to changes in sowing dates and densities has not yet been investigated. These management interventions are some of the main levers for adapting cropping systems to climate change. Here, we explore the performance of a MME of 29 wheat crop models to predict the effect of changing sowing dates and rates on yield and yield components, on two sites located in a high-yielding environment in New Zealand. The experiment was conducted for 6 years and provided 50 combinations of sowing date, sowing density and growing season. We show that the MME simulates seasonal growth of wheat well under standard sowing conditions, but fails under early sowing and high sowing rates. The comparison between observed and simulated in-season fraction of intercepted photosynthetically active radiation (FIPAR) for early sown wheat shows that the MME does not capture the decrease of crop above ground biomass during winter months due to senescence. Models need to better account for tiller competition for light, nutrients, and water during vegetative growth, and early tiller senescence and tiller mortality, which are exacerbated by early sowing, high sowing densities, and warmer winter temperatures.
Journal of Experimen... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2022 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAWageningen Staff PublicationsArticle . 2022License: CC BYData sources: Wageningen Staff Publicationsadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.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=10.1093/jxb/erac221&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 15 citations 15 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
visibility 26visibility views 26 download downloads 56 Powered bymore_vert Journal of Experimen... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2022 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAWageningen Staff PublicationsArticle . 2022License: CC BYData sources: Wageningen Staff Publicationsadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.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=10.1093/jxb/erac221&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2018 France, France, Finland, France, Germany, France, United States, FrancePublisher:Elsevier BV Authors: INRA, URP3F, France ( host institution ); Durand, Jean-Louis ( author ); Delusca, Kenel ( author ); Boote, Ken ( UF author ); +34 AuthorsINRA, URP3F, France ( host institution ); Durand, Jean-Louis ( author ); Delusca, Kenel ( author ); Boote, Ken ( UF author ); Lizaso, Jon ( author ); Manderscheid, Remy ( author ); Weigel, Hans Johachim ( author ); Ruane, Alex C ( author ); Rosenzweig, Cynthia ( author ); Jones, Jim ( UF author ); Ahuja, Laj ( author ); Anapalli, Saseendran ( author ); Basso, Bruno ( author ); Baron, Christian ( author ); Bertuzzi, Patrick ( author ); Biernath, Christian ( author ); Deryng, Delphine ( author ); Ewert, Frank ( author ); Gaiser, Thomas ( author ); Gayler, Sebastian ( author ); Heinlein, Florian ( author ); Kersebaum, Kurt Christian ( author ); Kim, Soo-Hyung ( author ); Müller, Christoph ( author ); Nendel, Claas ( author ); Olioso, Albert ( author ); Priesack, Eckart ( author ); Villegas, Julian Ramirez ( author ); Ripoche, Dominique ( author ); Rötter, Reimund P. ( author ); Seidel, Sabine I ( author ); Srivastava, Amit ( author ); Tao, Fulu ( author ); Timlin, Dennis ( author ); Twine, Tracy ( author ); Wang, Enli ( author ); Webber, Heidi ( author ); Zhao, Zhigan ( author );handle: 10568/79936
This study assesses the ability of 21 crop models to capture the impact of elevated CO2 concentration ([CO2]) on maize yield and water use as measured in a 2-year Free Air Carbon dioxide Enrichment experiment conducted at the Thunen Institute in Braunschweig, Germany (Manderscheid et al., 2014). Data for ambient [CO2] and irrigated treatments were provided to the 21 models for calibrating plant traits, including weather, soil and management data as well as yield, grain number, above ground biomass, leaf area index, nitrogen concentration in biomass and grain, water use and soil water content. Models differed in their representation of carbon assimilation and evapotranspiration processes. The models reproduced the absence of yield response to elevated [CO2] under well-watered conditions, as well as the impact of water deficit at ambient [CO2], with 50% of models within a range of +/−1 Mg ha−1 around the mean. The bias of the median of the 21 models was less than 1 Mg ha−1. However under water deficit in one of the two years, the models captured only 30% of the exceptionally high [CO2] enhancement on yield observed. Furthermore the ensemble of models was unable to simulate the very low soil water content at anthesis and the increase of soil water and grain number brought about by the elevated [CO2] under dry conditions. Overall, we found models with explicit stomatal control on transpiration tended to perform better. Our results highlight the need for model improvement with respect to simulating transpirational water use and its impact on water status during the kernel-set phase.
University of Florid... arrow_drop_down University of Florida: Digital Library CenterArticle . 2017License: CC BY NC NDFull-Text: http://ufdc.ufl.edu/LS00590868/00001Data sources: Bielefeld Academic Search Engine (BASE)CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2017Full-Text: https://hdl.handle.net/10568/79936Data sources: Bielefeld Academic Search Engine (BASE)INRIA a CCSD electronic archive serverArticle . 2017Data sources: INRIA a CCSD electronic archive serverEuropean Journal of AgronomyArticle . 2018 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefPublication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2018Data sources: Bielefeld Academic Search Engine (BASE)CIRAD: HAL (Agricultural Research for Development)Article . 2018Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.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.eja.2017.01.002&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 79 citations 79 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert University of Florid... arrow_drop_down University of Florida: Digital Library CenterArticle . 2017License: CC BY NC NDFull-Text: http://ufdc.ufl.edu/LS00590868/00001Data sources: Bielefeld Academic Search Engine (BASE)CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2017Full-Text: https://hdl.handle.net/10568/79936Data sources: Bielefeld Academic Search Engine (BASE)INRIA a CCSD electronic archive serverArticle . 2017Data sources: INRIA a CCSD electronic archive serverEuropean Journal of AgronomyArticle . 2018 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefPublication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2018Data sources: Bielefeld Academic Search Engine (BASE)CIRAD: HAL (Agricultural Research for Development)Article . 2018Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.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.eja.2017.01.002&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022Publisher:Resilience Alliance, Inc. Ahmad Hamidov; Katrin Daedlow; Heidi Webber; Hussam Hussein; Ilhom Abdurahmanov; Aleksandr Dolidudko; Ali Yawar Seerat; Umida Solieva; Tesfaye Woldeyohanes; Katharina Helming;Dans les systèmes socio-écologiques, la gestion des ressources naturelles peut être caractérisée par des compromis entre les secteurs et les objectifs de durabilité. Le concept de lien eau-énergie-alimentation (WEF) fait explicitement divers compromis afin de maximiser les synergies des interventions. Cependant, il existe peu d'exemples réussis de son opérationnalisation dans les contextes de recherche. Ici, nous explorons dans un contexte d'apprentissage si les protocoles d'évaluation de l'impact sur la durabilité (SIA) peuvent être un processus utile à utiliser pour adopter une perspective systémique et interdisciplinaire pour opérationnaliser le lien WEF dans la recherche pour le développement durable. Le processus et la méthode adoptés du protocole SIA, évaluées pour cinq cas exemplaires de lien avec le FEM en Asie centrale au cours d'un atelier international d'une semaine, ont abordé de manière adéquate la complexité des interrelations du FEM et les questions de durabilité associées, et ont facilité une analyse comparative des études de cas à différentes échelles. Les résultats de ce processus soulignent que la gouvernance de l'eau était essentielle pour la gestion transfrontalière à grande échelle du lien avec le FEM, tandis que la gestion des terres et des sols était décisive pour minimiser les compromis au niveau local. Les questions d'interdisciplinarité, de complexité, d'incertitude et de réflexion sur les impacts ont été abordées de manière adéquate, mais des défis subsistent dans la prise en compte de l'éthique et la conception d'une approche transparente, la coopération multi-acteurs. Plus important encore, cet exercice a montré que l'utilisation du processus du protocole SIA aidait les experts disciplinaires à travailler dans toutes les disciplines et à adopter une approche systémique pour analyser le lien avec le FEM. En los sistemas socioecológicos, la gestión de los recursos naturales puede caracterizarse por compensaciones entre sectores y objetivos de sostenibilidad. El concepto de nexo agua-energía-alimentos (WEF) hace explícitas varias compensaciones para maximizar las sinergias de las intervenciones. Sin embargo, hay pocos ejemplos exitosos de su operacionalización en entornos de investigación. Aquí, exploramos en un entorno de aprendizaje si los protocolos de evaluación de impacto de sostenibilidad (SIA) pueden ser un proceso útil para ser utilizado para adoptar una perspectiva sistémica e interdisciplinaria para operacionalizar el nexo WEF en la investigación para el desarrollo sostenible. El proceso y el método adoptados del protocolo SIA, evaluado para cinco casos ejemplares de nexo del FEM en Asia Central durante un taller internacional de una semana de duración, abordó adecuadamente la complejidad de las interrelaciones del FEM y los problemas de sostenibilidad asociados, y facilitó un análisis comparativo de estudios de casos en todas las escalas. Los resultados dentro de este proceso destacan que la gobernanza del agua era fundamental para la gestión del nexo del FEM transfronterizo a gran escala, mientras que la gestión de la tierra y el suelo era decisiva para minimizar las compensaciones a nivel local. Las cuestiones de interdisciplinariedad, complejidad, incertidumbre y reflexión sobre los impactos se abordaron adecuadamente, pero siguen existiendo desafíos en la consideración de la ética y el diseño de, cooperación de múltiples actores. Lo más importante es que este ejercicio mostró que el empleo del proceso del protocolo SIA apoyó a los expertos disciplinarios para trabajar en todas las disciplinas y adoptar un enfoque sistémico para analizar el nexo del WEF. In social-ecological systems, natural resource management can be characterized by trade-offs across sectors and sustainability targets.The water-energy-food (WEF) nexus concept makes explicit various trade-offs in order to maximize synergies of interventions.However, there are few successful examples of its operationalization in research settings.Here, we explore in a learning setting if sustainability impact assessment (SIA) protocols can be a useful process to be used to adopt a systemic, interdisciplinary perspective to operationalize WEF nexus in research for sustainable development.The process and method adopted of SIA protocol, evaluated for five exemplary WEF nexus cases in Central Asia during a week-long international workshop, adequately addressed the complexity of WEF interrelationships and associated sustainability issues, and facilitated a comparative case study analysis across scales.Results within this process highlight that water governance was critical for large-scale transboundary WEF nexus management, while land and soil management were decisive for minimizing trade-offs at local levels.Issues of interdisciplinarity, complexity, uncertainty, and reflection on impacts were adequately addressed, but challenges remain in the consideration of ethics and the design of transparent, multi-actor cooperation.Most importantly, this exercise showed that employment of the process of SIA protocol supported disciplinary experts to work across disciplines and take a systemic approach for analyzing WEF nexus. في النظم الاجتماعية والبيئية، يمكن أن تتميز إدارة الموارد الطبيعية بالمقايضات عبر القطاعات وأهداف الاستدامة. يوضح مفهوم العلاقة بين المياه والطاقة والغذاء (WEF) مقايضات مختلفة صريحة من أجل تحقيق أقصى قدر من التآزر بين التدخلات. ومع ذلك، هناك عدد قليل من الأمثلة الناجحة لتفعيلها في بيئات البحث. هنا، نستكشف في بيئة التعلم ما إذا كانت بروتوكولات تقييم تأثير الاستدامة (SIA) يمكن أن تكون عملية مفيدة لاستخدامها لتبني منظور منهجي متعدد التخصصات لتفعيل العلاقة بين WEF في البحث من أجل التنمية المستدامة. العملية والطريقة المعتمدة لبروتوكول SIA، تم تقييمها لخمس حالات نموذجية للصلة بين المنتدى الاقتصادي العالمي في آسيا الوسطى خلال ورشة عمل دولية استمرت أسبوعًا، وتناولت بشكل كافٍ تعقيد العلاقات المتبادلة بين المنتدى الاقتصادي العالمي وقضايا الاستدامة المرتبطة بها، وسهلت تحليل دراسة حالة مقارنة عبر المقاييس. تسلط النتائج ضمن هذه العملية الضوء على أن إدارة المياه كانت حاسمة لإدارة الصلة بين المنتدى الاقتصادي العالمي على نطاق واسع عبر الحدود، في حين أن إدارة الأراضي والتربة كانت حاسمة لتقليل المفاضلات على المستويات المحلية. تمت معالجة قضايا تعدد التخصصات والتعقيد وعدم اليقين والتفكير في التأثيرات بشكل كافٍ، ولكن لا تزال هناك تحديات في النظر في الأخلاقيات وتصميم الشفافية، التعاون متعدد الجهات الفاعلة. الأهم من ذلك، أظهر هذا التمرين أن توظيف عملية بروتوكول SIA دعم الخبراء التأديبيين للعمل عبر التخصصات واتخاذ نهج منهجي لتحليل العلاقة بين المنتدى الاقتصادي العالمي.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2018 France, Germany, India, IndiaPublisher:IOP Publishing Babacar Faye; Heidi Webber; Jesse B. Naab; Dilys S. MacCarthy; Myriam Adam; Frank Ewert; John P. A. Lamers; Carl‐Friedrich Schleussner; Alex C. Ruane; Ursula Geßner; Gerrit Hoogenboom; Kenneth J. Boote; Vakhtang Shelia; Fahad Saeed; Dominik Wisser; Sofia Hadir; Patrick Laux; Thomas Gaiser;Pour réduire les risques du changement climatique, les gouvernements ont convenu dans l'Accord de Paris de limiter l'augmentation de la température mondiale à moins de 2,0 °C par rapport aux niveaux préindustriels, avec l'ambition de maintenir le réchauffement à 1,5 °C. La cartographie des réponses d'atténuation appropriées nécessite des informations sur les coûts d'atténuation par rapport aux dommages associés pour les deux niveaux de réchauffement. Dans cette évaluation, une considération critique est l'impact sur les rendements des cultures et la variabilité des rendements dans les régions actuellement confrontées à l'insécurité alimentaire. La présente étude a évalué les impacts de 1,5 °C par rapport à 2,0 °C sur les rendements du maïs, du millet perlé et du sorgho dans la savane soudanaise d'Afrique de l'Ouest en utilisant deux modèles de culture qui ont été calibrés avec des variétés communes issues d'expériences dans la région, la gestion reflétant une gamme de fenêtres de semis typiques. Comme l'intensification durable est encouragée dans la région pour améliorer la sécurité alimentaire, des simulations ont été menées à la fois pour l'utilisation actuelle d'engrais et pour un cas d'intensification (fertilité non limitative). Avec l'utilisation actuelle d'engrais, les résultats ont indiqué des pertes plus élevées de 2 % pour le maïs et le sorgho avec 2,0 °C par rapport au réchauffement de 1,5 °C, sans changement dans les rendements en mil pour aucun des scénarios. Dans le cas de l'intensification, les pertes de rendement dues au changement climatique étaient plus importantes qu'avec les niveaux actuels d'engrais. Cependant, malgré les pertes plus importantes, les rendements ont toujours été deux à trois fois plus élevés avec l'intensification, quel que soit le scénario de réchauffement. Bien que la variabilité du rendement ait augmenté avec l'intensification, il n'y avait aucune interaction avec le scénario de réchauffement. Une analyse des risques et du marché est nécessaire pour étendre ces résultats afin de comprendre les implications pour la sécurité alimentaire. Para reducir los riesgos del cambio climático, los gobiernos acordaron en el Acuerdo de París limitar el aumento de la temperatura global a menos de 2,0 °C por encima de los niveles preindustriales, con la ambición de mantener el calentamiento a 1,5 °C. El trazado de las respuestas de mitigación apropiadas requiere información sobre los costos de la mitigación frente a los daños asociados para los dos niveles de calentamiento. En esta evaluación, una consideración crítica es el impacto en los rendimientos de los cultivos y la variabilidad del rendimiento en las regiones actualmente desafiadas por la inseguridad alimentaria. El estudio actual evaluó los impactos de 1,5 °C frente a 2,0 °C en los rendimientos de maíz, mijo perla y sorgo en la sabana de Sudán de África Occidental utilizando dos modelos de cultivo que se calibraron con variedades comunes de experimentos en la región con un manejo que refleja una gama de ventanas de siembra típicas. A medida que se promueve la intensificación sostenible en la región para mejorar la seguridad alimentaria, se realizaron simulaciones tanto para el uso actual de fertilizantes como para un caso de intensificación (fertilidad no limitante). Con el uso actual de fertilizantes, los resultados indicaron pérdidas un 2% mayores para el maíz y el sorgo con 2,0 °C en comparación con el calentamiento de 1,5 °C, sin cambios en los rendimientos de mijo para ninguno de los dos escenarios. En el caso de la intensificación, las pérdidas de rendimiento debido al cambio climático fueron mayores que con los niveles actuales de fertilizantes. Sin embargo, a pesar de las mayores pérdidas, los rendimientos siempre fueron de dos a tres veces más altos con la intensificación, independientemente del escenario de calentamiento. Aunque la variabilidad del rendimiento aumentó con la intensificación, no hubo interacción con el escenario de calentamiento. Se necesitan análisis de riesgos y de mercado para ampliar estos resultados y comprender las implicaciones para la seguridad alimentaria. To reduce the risks of climate change, governments agreed in the Paris Agreement to limit global temperature rise to less than 2.0 °C above pre-industrial levels, with the ambition to keep warming to 1.5 °C. Charting appropriate mitigation responses requires information on the costs of mitigating versus associated damages for the two levels of warming. In this assessment, a critical consideration is the impact on crop yields and yield variability in regions currently challenged by food insecurity. The current study assessed impacts of 1.5 °C versus 2.0 °C on yields of maize, pearl millet and sorghum in the West African Sudan Savanna using two crop models that were calibrated with common varieties from experiments in the region with management reflecting a range of typical sowing windows. As sustainable intensification is promoted in the region for improving food security, simulations were conducted for both current fertilizer use and for an intensification case (fertility not limiting). With current fertilizer use, results indicated 2% units higher losses for maize and sorghum with 2.0 °C compared to 1.5 °C warming, with no change in millet yields for either scenario. In the intensification case, yield losses due to climate change were larger than with current fertilizer levels. However, despite the larger losses, yields were always two to three times higher with intensification, irrespective of the warming scenario. Though yield variability increased with intensification, there was no interaction with warming scenario. Risk and market analysis are needed to extend these results to understand implications for food security. للحد من مخاطر تغير المناخ، اتفقت الحكومات في اتفاقية باريس على الحد من ارتفاع درجة الحرارة العالمية إلى أقل من 2.0 درجة مئوية فوق مستويات ما قبل الصناعة، مع طموح للحفاظ على ارتفاع درجة الحرارة إلى 1.5 درجة مئوية. يتطلب رسم استجابات التخفيف المناسبة معلومات عن تكاليف التخفيف مقابل الأضرار المرتبطة بمستويي الاحترار. في هذا التقييم، يتمثل أحد الاعتبارات الهامة في التأثير على غلة المحاصيل وتقلب الغلة في المناطق التي تواجه حاليًا انعدام الأمن الغذائي. قيمت الدراسة الحالية تأثيرات 1.5 درجة مئوية مقابل 2.0 درجة مئوية على غلة الذرة والدخن اللؤلؤي والذرة الرفيعة في سافانا غرب إفريقيا باستخدام نموذجين للمحاصيل تمت معايرتهما بأصناف شائعة من التجارب في المنطقة مع الإدارة التي تعكس مجموعة من نوافذ البذر النموذجية. ومع تعزيز التكثيف المستدام في المنطقة لتحسين الأمن الغذائي، أجريت عمليات محاكاة لكل من الاستخدام الحالي للأسمدة وحالة التكثيف (الخصوبة غير محدودة). مع استخدام الأسمدة الحالي، أشارت النتائج إلى خسائر أعلى بنسبة 2 ٪ للذرة والذرة الرفيعة مع 2.0 درجة مئوية مقارنة بالاحترار 1.5 درجة مئوية، مع عدم وجود تغيير في غلة الدخن لأي من السيناريوهين. في حالة التكثيف، كانت خسائر الغلة بسبب تغير المناخ أكبر من مستويات الأسمدة الحالية. ومع ذلك، على الرغم من الخسائر الأكبر، كانت الغلة دائمًا أعلى مرتين إلى ثلاث مرات مع التكثيف، بغض النظر عن سيناريو الاحترار. على الرغم من زيادة تقلب المحصول مع التكثيف، لم يكن هناك تفاعل مع سيناريو الاحترار. هناك حاجة إلى تحليل المخاطر والسوق لتوسيع نطاق هذه النتائج لفهم الآثار المترتبة على الأمن الغذائي.
Publication Database... arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2018License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 73 citations 73 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Publication Database... arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2018License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.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/aaab40&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2018 Germany, France, France, Spain, United Kingdom, Australia, France, United Kingdom, Finland, DenmarkPublisher:Wiley Funded by:EC | AGREENSKILLS, AKA | Pathways for linking unce..., AKA | Integrated modelling of N... +1 projectsEC| AGREENSKILLS ,AKA| Pathways for linking uncertainties in model projections of climate and its effects / Consortium: PLUMES ,AKA| Integrated modelling of Nordic farming systems for sustainable intensification under climate change (NORFASYS) ,AKA| Integrated modelling of Nordic farming systems for sustainable intensification under climate change (NORFASYS)Davide Cammarano; Mikhail A. Semenov; Heidi Horan; Yujing Gao; Frank Ewert; Jørgen E. Olesen; Joost Wolf; Curtis D. Jones; M. Ali Babar; Belay T. Kassie; Manuel Montesino San Martin; Sebastian Gayler; Andrea Maiorano; Dominique Ripoche; Bing Liu; Bing Liu; Pierre Stratonovitch; Zhigan Zhao; Zhigan Zhao; Bruno Basso; Zhao Zhang; Liujun Xiao; Pierre Martre; Claudio O. Stöckle; Garry O'Leary; Mukhtar Ahmed; Mukhtar Ahmed; Elias Fereres; Taru Palosuo; Daniel Wallach; R. Cesar Izaurralde; R. Cesar Izaurralde; Matthew P. Reynolds; Reimund P. Rötter; Ann-Kristin Koehler; Marijn van der Velde; Andrew J. Challinor; Andrew J. Challinor; Peter J. Thorburn; Mohamed Jabloun; Rosella Motzo; Sara Minoli; Benjamin Dumont; Kurt Christian Kersebaum; Claas Nendel; Glenn J. Fitzgerald; Juraj Balkovic; Juraj Balkovic; Marco Bindi; Eckart Priesack; Heidi Webber; Enli Wang; Giacomo De Sanctis; Christian Klein; Christoph Müller; Gerrit Hoogenboom; Francesco Giunta; Alex C. Ruane; Christine Girousse; Margarita Garcia-Vila; Ehsan Eyshi Rezaei; Ehsan Eyshi Rezaei; Thilo Streck; Iwan Supit; Roberto Ferrise; Christian Biernath; Soora Naresh Kumar; Pramod K. Aggarwal; Fulu Tao; Katharina Waha; Yan Zhu; Senthold Asseng; Ahmed M. S. Kheir; John R. Porter; John R. Porter; John R. Porter;AbstractWheat grain protein concentration is an important determinant of wheat quality for human nutrition that is often overlooked in efforts to improve crop production. We tested and applied a 32‐multi‐model ensemble to simulate global wheat yield and quality in a changing climate. Potential benefits of elevated atmospheric CO2 concentration by 2050 on global wheat grain and protein yield are likely to be negated by impacts from rising temperature and changes in rainfall, but with considerable disparities between regions. Grain and protein yields are expected to be lower and more variable in most low‐rainfall regions, with nitrogen availability limiting growth stimulus from elevated CO2. Introducing genotypes adapted to warmer temperatures (and also considering changes in CO2 and rainfall) could boost global wheat yield by 7% and protein yield by 2%, but grain protein concentration would be reduced by −1.1 percentage points, representing a relative change of −8.6%. Climate change adaptations that benefit grain yield are not always positive for grain quality, putting additional pressure on global wheat production.
CORE arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2020Full-Text: https://hdl.handle.net/10568/106685Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2019 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAUniversity of Copenhagen: ResearchArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)Global Change BiologyArticle . 2018 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefNatural Resources Institute Finland: JukuriArticleData sources: Bielefeld Academic Search Engine (BASE)The University of Melbourne: Digital RepositoryArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)CIRAD: HAL (Agricultural Research for Development)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 357 citations 357 popularity Top 0.1% influence Top 1% impulse Top 0.1% Powered by BIP!
visibility 53visibility views 53 download downloads 425 Powered bymore_vert CORE arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2020Full-Text: https://hdl.handle.net/10568/106685Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2019 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAUniversity of Copenhagen: ResearchArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)Global Change BiologyArticle . 2018 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefNatural Resources Institute Finland: JukuriArticleData sources: Bielefeld Academic Search Engine (BASE)The University of Melbourne: Digital RepositoryArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)CIRAD: HAL (Agricultural Research for Development)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.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=10.1111/gcb.14481&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2021 GermanyPublisher:Springer Science and Business Media LLC Funded by:NSF | DMUU: Center for Robust D..., NSF | Graduate Research Fellows..., EC | EARTH@LTERNATIVES +1 projectsNSF| DMUU: Center for Robust Decision-Making Tools for Climate and Energy Policy ,NSF| Graduate Research Fellowship Program (GRFP) ,EC| EARTH@LTERNATIVES ,NSF| NRT INFEWS: computational data science to advance research at the energy-environment nexusHaynes Stephens; Meridel Phillips; Meridel Phillips; Rastislav Skalsky; Jens Heinke; Tommaso Stella; Babacar Faye; Masashi Okada; Jonas Jägermeyr; Jonas Jägermeyr; Jonas Jägermeyr; David Kelly; Juraj Balkovic; Juraj Balkovic; Oleksandr Mialyk; Alex C. Ruane; Toshichika Iizumi; Christoph Müller; Stefan Lange; Oscar Castillo; Gerrit Hoogenboom; Kathrin Fuchs; Joep F. Schyns; James A. Franke; Wenfeng Liu; Sara Minoli; Heidi Webber; Cynthia Rosenzweig; Clemens Scheer; Joshua Elliott; Elisabeth J. Moyer; Sam S. Rabin; Sam S. Rabin; Cheryl Porter; Christian Folberth; Ian Foster; Atul K. Jain; Nikolay Khabarov; Florian Zabel; Tzu-Shun Lin; Andrew Smerald; Julia M. Schneider; Jose R. Guarin; Jose R. Guarin;pmid: 37117503
Potential climate-related impacts on future crop yield are a major societal concern. Previous projections of the Agricultural Model Intercomparison and Improvement Project's Global Gridded Crop Model Intercomparison based on the Coupled Model Intercomparison Project Phase 5 identified substantial climate impacts on all major crops, but associated uncertainties were substantial. Here we report new twenty-first-century projections using ensembles of latest-generation crop and climate models. Results suggest markedly more pessimistic yield responses for maize, soybean and rice compared to the original ensemble. Mean end-of-century maize productivity is shifted from +5% to -6% (SSP126) and from +1% to -24% (SSP585)-explained by warmer climate projections and improved crop model sensitivities. In contrast, wheat shows stronger gains (+9% shifted to +18%, SSP585), linked to higher CO2 concentrations and expanded high-latitude gains. The 'emergence' of climate impacts consistently occurs earlier in the new projections-before 2040 for several main producing regions. While future yield estimates remain uncertain, these results suggest that major breadbasket regions will face distinct anthropogenic climatic risks sooner than previously anticipated.
KITopen (Karlsruhe I... arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesbronze 375 citations 375 popularity Top 0.1% influence Top 1% impulse Top 0.01% Powered by BIP!
more_vert KITopen (Karlsruhe I... arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2019Publisher:Leibniz Centre for Agricultural Landscape Research (ZALF), Muencheberg (Germany) Webber, Heidi; Ababei, Behnam; Bindhi, Marco; Ewert, Frank; Ferrise, Roberto; Fronzek, Stefan; Gabaldón-Leal, Clara; Gaiser, Thomas; Jabloun, Mohamed; Kersebaum, Kurt-Christian; Lizaso, Jon I.; Lorite, Ignacio; Manceau, Loic; Moriondo, Marco; Martre, Pierre; Nándor, Fodor; Nendel, Claas; Olesen, Jørgen E.; Rodríguez, Alfredo; Ruane, Alex; Ruiz-Ramos, Margarita; Semenov, Mikhail A.; Siebert, Stefan; Stella, Tommaso; Stratonovitch, Pierre; Trombi, Giacomo;doi: 10.4228/zalf.dk.88
This dataset comprises the output data of simulations carried out by nine different crop modelling groups for grain maize and winter wheat over the EU-27. Five models simulated both maize and wheat (4M; FASSET, FA, HERMES, HE, MONICA, MO and SIMPLACE-Lintul5, L5), three models simulated only winter wheat (SIRIUS 2015, S2; SiriusQuality v3, SQ) and IXIM, IX simulated only grain maize. All models included a heat stress response that reduces the final yield under high temperatures, mechanisms to reduce growth and leaf area under water limitation, and account for the effects of CO2 on either radiation use efficiency (RUE) or photosynthesis. Five of the models include algorithms to estimate crop canopy temperature (FA, L5, HE, SS, S2). All models, except for sQ and S2 also include the effects of CO2 on reducing transpiration. Simulations were conducted for combinations of three representative concentration pathways (RCPs) and five general circulation models (GCMs). Time periods considered were 2040-2069 and 2070-2099 for the projection scenarios, and years 1980-2010 for a historical period. Parts of this dataset were used as the basis for analyzing crop responses to climate, as described in Webber et al. 2018. Other key details and a more extensive description of each model's consideration of heat and drought stress are listed in the supplementary materials of Webber et al. 2018.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2019 France, Finland, Denmark, France, Germany, Spain, United Kingdom, France, United KingdomPublisher:Wiley Funded by:AKA | Pathways for linking unce..., AKA | Integrated modelling of N..., AKA | Pathways for linking unce... +1 projectsAKA| Pathways for linking uncertainties in model projections of climate and its effects / Consortium: PLUMES ,AKA| Integrated modelling of Nordic farming systems for sustainable intensification under climate change (NORFASYS) ,AKA| Pathways for linking uncertainties in model projections of climate and its effects / Consortium: PLUMES ,AKA| Integrated modelling of Nordic farming systems for sustainable intensification under climate change (NORFASYS)Authors: Ann-Kristin Koehler; Peter J. Thorburn; Sebastian Gayler; Margarita Garcia-Vila; +63 AuthorsAnn-Kristin Koehler; Peter J. Thorburn; Sebastian Gayler; Margarita Garcia-Vila; Curtis D. Jones; Ehsan Eyshi Rezaei; Ehsan Eyshi Rezaei; Bruno Basso; Reimund P. Rötter; Andrew J. Challinor; Andrew J. Challinor; Garry O'Leary; Andrea Maiorano; Andrea Maiorano; Heidi Webber; Mónica Espadafor; Davide Cammarano; Fulu Tao; Zhao Zhang; Mikhail A. Semenov; Pierre Martre; Taru Palosuo; Daniel Wallach; Marijn van der Velde; Liujun Xiao; Liujun Xiao; Thilo Streck; Juraj Balkovic; Juraj Balkovic; Roberto C. Izaurralde; Roberto C. Izaurralde; Katharina Waha; Bing Liu; Joost Wolf; Claas Nendel; Iwan Supit; Christoph Müller; Alex C. Ruane; Roberto Ferrise; Senthold Asseng; Gerrit Hoogenboom; Frank Ewert; Christian Biernath; Soora Naresh Kumar; Giacomo De Sanctis; Marco Bindi; Zhigan Zhao; Zhigan Zhao; Kurt Christian Kersebaum; Dominique Ripoche; Eckart Priesack; John R. Porter; John R. Porter; John R. Porter; Heidi Horan; Belay T. Kassie; Enli Wang; Pramod K. Aggarwal; Christian Klein; Yujing Gao; Benjamin Dumont; Manuel Montesino San Martin; Yan Zhu; Sara Minoli; Claudio O. Stöckle; Mukhtar Ahmed; Mukhtar Ahmed;AbstractEfforts to limit global warming to below 2°C in relation to the pre‐industrial level are under way, in accordance with the 2015 Paris Agreement. However, most impact research on agriculture to date has focused on impacts of warming >2°C on mean crop yields, and many previous studies did not focus sufficiently on extreme events and yield interannual variability. Here, with the latest climate scenarios from the Half a degree Additional warming, Prognosis and Projected Impacts (HAPPI) project, we evaluated the impacts of the 2015 Paris Agreement range of global warming (1.5 and 2.0°C warming above the pre‐industrial period) on global wheat production and local yield variability. A multi‐crop and multi‐climate model ensemble over a global network of sites developed by the Agricultural Model Intercomparison and Improvement Project (AgMIP) for Wheat was used to represent major rainfed and irrigated wheat cropping systems. Results show that projected global wheat production will change by −2.3% to 7.0% under the 1.5°C scenario and −2.4% to 10.5% under the 2.0°C scenario, compared to a baseline of 1980–2010, when considering changes in local temperature, rainfall, and global atmospheric CO2 concentration, but no changes in management or wheat cultivars. The projected impact on wheat production varies spatially; a larger increase is projected for temperate high rainfall regions than for moderate hot low rainfall and irrigated regions. Grain yields in warmer regions are more likely to be reduced than in cooler regions. Despite mostly positive impacts on global average grain yields, the frequency of extremely low yields (bottom 5 percentile of baseline distribution) and yield inter‐annual variability will increase under both warming scenarios for some of the hot growing locations, including locations from the second largest global wheat producer—India, which supplies more than 14% of global wheat. The projected global impact of warming <2°C on wheat production is therefore not evenly distributed and will affect regional food security across the globe as well as food prices and trade.
CGIAR CGSpace (Consu... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2019Full-Text: https://hdl.handle.net/10568/106027Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2019 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAUniversity of Copenhagen: ResearchArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)Global Change BiologyArticle . 2019 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefPublication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)CIRAD: HAL (Agricultural Research for Development)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 125 citations 125 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
visibility 38visibility views 38 download downloads 616 Powered bymore_vert CGIAR CGSpace (Consu... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2019Full-Text: https://hdl.handle.net/10568/106027Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2019 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAUniversity of Copenhagen: ResearchArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)Global Change BiologyArticle . 2019 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefPublication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)CIRAD: HAL (Agricultural Research for Development)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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