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description Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2017 United Kingdom, United Kingdom, Belgium, Germany, Austria, United KingdomPublisher:Springer Science and Business Media LLC Authors:Rutger Dankers;
Fred F. Hattermann;Rutger Dankers
Rutger Dankers in OpenAIRETadesse Alemayehu;
Tadesse Alemayehu
Tadesse Alemayehu in OpenAIRELuis Samaniego;
+20 AuthorsLuis Samaniego
Luis Samaniego in OpenAIRERutger Dankers;
Fred F. Hattermann;Rutger Dankers
Rutger Dankers in OpenAIRETadesse Alemayehu;
Tadesse Alemayehu
Tadesse Alemayehu in OpenAIRELuis Samaniego;
Luis Samaniego
Luis Samaniego in OpenAIREYoshihide Wada;
Yoshihide Wada
Yoshihide Wada in OpenAIREYury Motovilov;
Yury Motovilov
Yury Motovilov in OpenAIREDieter Gerten;
Dieter Gerten; Qiuhong Tang;Dieter Gerten
Dieter Gerten in OpenAIREMartina Flörke;
Chantal Donnelly; Yoshimitsu Masaki; Simon N. Gosling;Martina Flörke
Martina Flörke in OpenAIREGuoyong Leng;
Guoyong Leng
Guoyong Leng in OpenAIREPrasad Daggupati;
S. Buda; Stefan Hagemann;Prasad Daggupati
Prasad Daggupati in OpenAIREChristoph Müller;
Christoph Müller
Christoph Müller in OpenAIREYusuke Satoh;
Tao Yang; Tao Yang; Valentina Krysanova;Yusuke Satoh
Yusuke Satoh in OpenAIREShaochun Huang;
Felix T. Portmann;Shaochun Huang
Shaochun Huang in OpenAIREIdéalement, les résultats des modèles fonctionnant à différentes échelles devraient correspondre à la direction de la tendance et à l'ampleur des impacts sous le changement climatique. Cependant, cela implique que la sensibilité à la variabilité du climat et au changement climatique est comparable pour les modèles d'impact conçus pour l'une ou l'autre échelle. Dans cette étude, nous comparons les changements hydrologiques simulés par 9 modèles hydrologiques mondiaux et 9 modèles hydrologiques régionaux (HM) pour 11 grands bassins hydrographiques sur tous les continents dans des conditions de référence et de scénario. Les thèmes principaux sont les cycles de validation des modèles, la sensibilité de la décharge annuelle à la variabilité climatique au cours de la période de référence et la sensibilité de la dynamique saisonnière mensuelle moyenne à long terme au changement climatique. Un résultat majeur est que les modèles globaux, pour la plupart non calibrés par rapport aux observations, montrent souvent un biais considérable dans les rejets mensuels moyens, alors que les modèles régionaux montrent une meilleure reproduction des conditions de référence. Cependant, la sensibilité des deux ensembles HM à la variabilité climatique est en général similaire. Les impacts simulés du changement climatique en termes de dynamique mensuelle moyenne à long terme évaluée pour les médianes et les spreads de l'ensemble HM montrent que les médianes sont dans une certaine mesure comparables dans certains cas, mais présentent des différences distinctes dans d'autres cas, et les spreads liés aux modèles globaux sont principalement nettement plus importants. En résumé, cela implique que les MM mondiaux sont des outils utiles pour examiner les impacts à grande échelle du changement et de la variabilité climatiques. Chaque fois que les impacts pour un bassin hydrographique ou une région spécifique présentent un intérêt, par exemple pour des applications complexes de gestion de l'eau, les modèles à l'échelle régionale calibrés et validés par rapport au débit observé doivent être utilisés. Idealmente, los resultados de los modelos que operan a diferentes escalas deberían coincidir en la dirección de la tendencia y la magnitud de los impactos bajo el cambio climático. Sin embargo, esto implica que la sensibilidad a la variabilidad climática y al cambio climático es comparable para los modelos de impacto diseñados para cualquier escala. En este estudio, comparamos los cambios hidrológicos simulados por 9 modelos hidrológicos (HM) globales y 9 regionales para 11 grandes cuencas fluviales en todos los continentes bajo condiciones de referencia y escenario. Los enfoques se centran en las ejecuciones de validación de modelos, la sensibilidad de la descarga anual a la variabilidad climática en el período de referencia y la sensibilidad de la dinámica estacional mensual media a largo plazo al cambio climático. Un resultado importante es que los modelos globales, en su mayoría no calibrados contra los observados, a menudo muestran un sesgo considerable en la descarga mensual media, mientras que los modelos regionales muestran una mejor reproducción de las condiciones de referencia. Sin embargo, la sensibilidad de los dos conjuntos HM a la variabilidad climática es en general similar. Los impactos simulados del cambio climático en términos de dinámica mensual promedio a largo plazo evaluados para las medianas y los diferenciales del conjunto HM muestran que las medianas son en cierta medida comparables en algunos casos, pero tienen diferencias claras en otros casos, y los diferenciales relacionados con los modelos globales son en su mayoría notablemente mayores. En resumen, esto implica que los HM globales son herramientas útiles cuando se analizan los impactos a gran escala del cambio climático y la variabilidad. Siempre que los impactos para una cuenca o región fluvial específica sean de interés, por ejemplo, para aplicaciones complejas de gestión del agua, se deben utilizar los modelos a escala regional calibrados y validados frente a los vertidos observados. Ideally, the results from models operating at different scales should agree in trend direction and magnitude of impacts under climate change. However, this implies that the sensitivity to climate variability and climate change is comparable for impact models designed for either scale. In this study, we compare hydrological changes simulated by 9 global and 9 regional hydrological models (HM) for 11 large river basins in all continents under reference and scenario conditions. The foci are on model validation runs, sensitivity of annual discharge to climate variability in the reference period, and sensitivity of the long-term average monthly seasonal dynamics to climate change. One major result is that the global models, mostly not calibrated against observations, often show a considerable bias in mean monthly discharge, whereas regional models show a better reproduction of reference conditions. However, the sensitivity of the two HM ensembles to climate variability is in general similar. The simulated climate change impacts in terms of long-term average monthly dynamics evaluated for HM ensemble medians and spreads show that the medians are to a certain extent comparable in some cases, but have distinct differences in other cases, and the spreads related to global models are mostly notably larger. Summarizing, this implies that global HMs are useful tools when looking at large-scale impacts of climate change and variability. Whenever impacts for a specific river basin or region are of interest, e.g. for complex water management applications, the regional-scale models calibrated and validated against observed discharge should be used. من الناحية المثالية، يجب أن تتفق النتائج من النماذج التي تعمل على مستويات مختلفة في اتجاه الاتجاه وحجم التأثيرات في ظل تغير المناخ. ومع ذلك، فإن هذا يعني أن الحساسية لتقلب المناخ وتغير المناخ قابلة للمقارنة مع نماذج التأثير المصممة لأي من المقياسين. في هذه الدراسة، نقارن التغيرات الهيدرولوجية التي تمت محاكاتها بواسطة 9 نماذج هيدرولوجية عالمية و 9 نماذج هيدرولوجية إقليمية لـ 11 حوضًا نهريًا كبيرًا في جميع القارات في ظل الظروف المرجعية والسيناريوهات. تعمل البؤر على تشغيل التحقق من صحة النموذج، وحساسية التصريف السنوي لتقلب المناخ في الفترة المرجعية، وحساسية متوسط الديناميكيات الموسمية الشهرية طويلة الأجل لتغير المناخ. تتمثل إحدى النتائج الرئيسية في أن النماذج العالمية، التي لا تتم معايرتها في الغالب مقابل الملاحظات، غالبًا ما تُظهر تحيزًا كبيرًا في متوسط التصريف الشهري، في حين تُظهر النماذج الإقليمية استنساخًا أفضل للظروف المرجعية. ومع ذلك، فإن حساسية مجموعتي جلالة الملكة لتقلب المناخ متشابهة بشكل عام. تُظهر تأثيرات تغير المناخ المحاكاة من حيث متوسط الديناميكيات الشهرية طويلة الأجل التي تم تقييمها لمتوسطات مجموعة جلالة الملكة وانتشارها أن المتوسطات قابلة للمقارنة إلى حد ما في بعض الحالات، ولكن لها اختلافات واضحة في حالات أخرى، وأن فروق الأسعار المتعلقة بالنماذج العالمية هي في الغالب أكبر بشكل ملحوظ. وبإيجاز، يعني هذا أن جلطات الدم العالمية هي أدوات مفيدة عند النظر إلى الآثار واسعة النطاق لتغير المناخ وتقلباته. عندما تكون التأثيرات على حوض نهر أو منطقة معينة ذات أهمية، على سبيل المثال بالنسبة لتطبيقات إدارة المياه المعقدة، يجب استخدام نماذج النطاق الإقليمي التي تمت معايرتها والتحقق من صحتها مقابل التصريف المرصود.
Nottingham Research ... arrow_drop_down Nottingham ePrintsArticle . 2017License: University of Nottingham Institutional Repository End-UserData sources: CORE (RIOXX-UK Aggregator)Vrije Universiteit Brussel Research PortalArticle . 2017Data sources: Vrije Universiteit Brussel Research PortalPublication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2017Data 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 156 citations 156 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Nottingham Research ... arrow_drop_down Nottingham ePrintsArticle . 2017License: University of Nottingham Institutional Repository End-UserData sources: CORE (RIOXX-UK Aggregator)Vrije Universiteit Brussel Research PortalArticle . 2017Data sources: Vrije Universiteit Brussel Research PortalPublication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2017Data 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.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2017 United Kingdom, United Kingdom, Belgium, Germany, Austria, United KingdomPublisher:Springer Science and Business Media LLC Authors:Rutger Dankers;
Fred F. Hattermann;Rutger Dankers
Rutger Dankers in OpenAIRETadesse Alemayehu;
Tadesse Alemayehu
Tadesse Alemayehu in OpenAIRELuis Samaniego;
+20 AuthorsLuis Samaniego
Luis Samaniego in OpenAIRERutger Dankers;
Fred F. Hattermann;Rutger Dankers
Rutger Dankers in OpenAIRETadesse Alemayehu;
Tadesse Alemayehu
Tadesse Alemayehu in OpenAIRELuis Samaniego;
Luis Samaniego
Luis Samaniego in OpenAIREYoshihide Wada;
Yoshihide Wada
Yoshihide Wada in OpenAIREYury Motovilov;
Yury Motovilov
Yury Motovilov in OpenAIREDieter Gerten;
Dieter Gerten; Qiuhong Tang;Dieter Gerten
Dieter Gerten in OpenAIREMartina Flörke;
Chantal Donnelly; Yoshimitsu Masaki; Simon N. Gosling;Martina Flörke
Martina Flörke in OpenAIREGuoyong Leng;
Guoyong Leng
Guoyong Leng in OpenAIREPrasad Daggupati;
S. Buda; Stefan Hagemann;Prasad Daggupati
Prasad Daggupati in OpenAIREChristoph Müller;
Christoph Müller
Christoph Müller in OpenAIREYusuke Satoh;
Tao Yang; Tao Yang; Valentina Krysanova;Yusuke Satoh
Yusuke Satoh in OpenAIREShaochun Huang;
Felix T. Portmann;Shaochun Huang
Shaochun Huang in OpenAIREIdéalement, les résultats des modèles fonctionnant à différentes échelles devraient correspondre à la direction de la tendance et à l'ampleur des impacts sous le changement climatique. Cependant, cela implique que la sensibilité à la variabilité du climat et au changement climatique est comparable pour les modèles d'impact conçus pour l'une ou l'autre échelle. Dans cette étude, nous comparons les changements hydrologiques simulés par 9 modèles hydrologiques mondiaux et 9 modèles hydrologiques régionaux (HM) pour 11 grands bassins hydrographiques sur tous les continents dans des conditions de référence et de scénario. Les thèmes principaux sont les cycles de validation des modèles, la sensibilité de la décharge annuelle à la variabilité climatique au cours de la période de référence et la sensibilité de la dynamique saisonnière mensuelle moyenne à long terme au changement climatique. Un résultat majeur est que les modèles globaux, pour la plupart non calibrés par rapport aux observations, montrent souvent un biais considérable dans les rejets mensuels moyens, alors que les modèles régionaux montrent une meilleure reproduction des conditions de référence. Cependant, la sensibilité des deux ensembles HM à la variabilité climatique est en général similaire. Les impacts simulés du changement climatique en termes de dynamique mensuelle moyenne à long terme évaluée pour les médianes et les spreads de l'ensemble HM montrent que les médianes sont dans une certaine mesure comparables dans certains cas, mais présentent des différences distinctes dans d'autres cas, et les spreads liés aux modèles globaux sont principalement nettement plus importants. En résumé, cela implique que les MM mondiaux sont des outils utiles pour examiner les impacts à grande échelle du changement et de la variabilité climatiques. Chaque fois que les impacts pour un bassin hydrographique ou une région spécifique présentent un intérêt, par exemple pour des applications complexes de gestion de l'eau, les modèles à l'échelle régionale calibrés et validés par rapport au débit observé doivent être utilisés. Idealmente, los resultados de los modelos que operan a diferentes escalas deberían coincidir en la dirección de la tendencia y la magnitud de los impactos bajo el cambio climático. Sin embargo, esto implica que la sensibilidad a la variabilidad climática y al cambio climático es comparable para los modelos de impacto diseñados para cualquier escala. En este estudio, comparamos los cambios hidrológicos simulados por 9 modelos hidrológicos (HM) globales y 9 regionales para 11 grandes cuencas fluviales en todos los continentes bajo condiciones de referencia y escenario. Los enfoques se centran en las ejecuciones de validación de modelos, la sensibilidad de la descarga anual a la variabilidad climática en el período de referencia y la sensibilidad de la dinámica estacional mensual media a largo plazo al cambio climático. Un resultado importante es que los modelos globales, en su mayoría no calibrados contra los observados, a menudo muestran un sesgo considerable en la descarga mensual media, mientras que los modelos regionales muestran una mejor reproducción de las condiciones de referencia. Sin embargo, la sensibilidad de los dos conjuntos HM a la variabilidad climática es en general similar. Los impactos simulados del cambio climático en términos de dinámica mensual promedio a largo plazo evaluados para las medianas y los diferenciales del conjunto HM muestran que las medianas son en cierta medida comparables en algunos casos, pero tienen diferencias claras en otros casos, y los diferenciales relacionados con los modelos globales son en su mayoría notablemente mayores. En resumen, esto implica que los HM globales son herramientas útiles cuando se analizan los impactos a gran escala del cambio climático y la variabilidad. Siempre que los impactos para una cuenca o región fluvial específica sean de interés, por ejemplo, para aplicaciones complejas de gestión del agua, se deben utilizar los modelos a escala regional calibrados y validados frente a los vertidos observados. Ideally, the results from models operating at different scales should agree in trend direction and magnitude of impacts under climate change. However, this implies that the sensitivity to climate variability and climate change is comparable for impact models designed for either scale. In this study, we compare hydrological changes simulated by 9 global and 9 regional hydrological models (HM) for 11 large river basins in all continents under reference and scenario conditions. The foci are on model validation runs, sensitivity of annual discharge to climate variability in the reference period, and sensitivity of the long-term average monthly seasonal dynamics to climate change. One major result is that the global models, mostly not calibrated against observations, often show a considerable bias in mean monthly discharge, whereas regional models show a better reproduction of reference conditions. However, the sensitivity of the two HM ensembles to climate variability is in general similar. The simulated climate change impacts in terms of long-term average monthly dynamics evaluated for HM ensemble medians and spreads show that the medians are to a certain extent comparable in some cases, but have distinct differences in other cases, and the spreads related to global models are mostly notably larger. Summarizing, this implies that global HMs are useful tools when looking at large-scale impacts of climate change and variability. Whenever impacts for a specific river basin or region are of interest, e.g. for complex water management applications, the regional-scale models calibrated and validated against observed discharge should be used. من الناحية المثالية، يجب أن تتفق النتائج من النماذج التي تعمل على مستويات مختلفة في اتجاه الاتجاه وحجم التأثيرات في ظل تغير المناخ. ومع ذلك، فإن هذا يعني أن الحساسية لتقلب المناخ وتغير المناخ قابلة للمقارنة مع نماذج التأثير المصممة لأي من المقياسين. في هذه الدراسة، نقارن التغيرات الهيدرولوجية التي تمت محاكاتها بواسطة 9 نماذج هيدرولوجية عالمية و 9 نماذج هيدرولوجية إقليمية لـ 11 حوضًا نهريًا كبيرًا في جميع القارات في ظل الظروف المرجعية والسيناريوهات. تعمل البؤر على تشغيل التحقق من صحة النموذج، وحساسية التصريف السنوي لتقلب المناخ في الفترة المرجعية، وحساسية متوسط الديناميكيات الموسمية الشهرية طويلة الأجل لتغير المناخ. تتمثل إحدى النتائج الرئيسية في أن النماذج العالمية، التي لا تتم معايرتها في الغالب مقابل الملاحظات، غالبًا ما تُظهر تحيزًا كبيرًا في متوسط التصريف الشهري، في حين تُظهر النماذج الإقليمية استنساخًا أفضل للظروف المرجعية. ومع ذلك، فإن حساسية مجموعتي جلالة الملكة لتقلب المناخ متشابهة بشكل عام. تُظهر تأثيرات تغير المناخ المحاكاة من حيث متوسط الديناميكيات الشهرية طويلة الأجل التي تم تقييمها لمتوسطات مجموعة جلالة الملكة وانتشارها أن المتوسطات قابلة للمقارنة إلى حد ما في بعض الحالات، ولكن لها اختلافات واضحة في حالات أخرى، وأن فروق الأسعار المتعلقة بالنماذج العالمية هي في الغالب أكبر بشكل ملحوظ. وبإيجاز، يعني هذا أن جلطات الدم العالمية هي أدوات مفيدة عند النظر إلى الآثار واسعة النطاق لتغير المناخ وتقلباته. عندما تكون التأثيرات على حوض نهر أو منطقة معينة ذات أهمية، على سبيل المثال بالنسبة لتطبيقات إدارة المياه المعقدة، يجب استخدام نماذج النطاق الإقليمي التي تمت معايرتها والتحقق من صحتها مقابل التصريف المرصود.
Nottingham Research ... arrow_drop_down Nottingham ePrintsArticle . 2017License: University of Nottingham Institutional Repository End-UserData sources: CORE (RIOXX-UK Aggregator)Vrije Universiteit Brussel Research PortalArticle . 2017Data sources: Vrije Universiteit Brussel Research PortalPublication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2017Data 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=10.1007/s10584-016-1829-4&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 156 citations 156 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Nottingham Research ... arrow_drop_down Nottingham ePrintsArticle . 2017License: University of Nottingham Institutional Repository End-UserData sources: CORE (RIOXX-UK Aggregator)Vrije Universiteit Brussel Research PortalArticle . 2017Data sources: Vrije Universiteit Brussel Research PortalPublication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2017Data 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=10.1007/s10584-016-1829-4&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2017 China (People's Republic of), United States, Brazil, Brazil, China (People's Republic of), China (People's Republic of)Publisher:Springer Science and Business Media LLC Authors: Julio Tota;Fernando César Almada Santos;
Saewung Kim;Fernando César Almada Santos
Fernando César Almada Santos in OpenAIREJohn E. Shilling;
+21 AuthorsJohn E. Shilling
John E. Shilling in OpenAIREJulio Tota;Fernando César Almada Santos;
Saewung Kim;Fernando César Almada Santos
Fernando César Almada Santos in OpenAIREJohn E. Shilling;
Ying Liu; Zhiyuan Hu;John E. Shilling
John E. Shilling in OpenAIREChun Zhao;
Chun Zhao;Chun Zhao
Chun Zhao in OpenAIREGuoyong Leng;
Qing Yang;Guoyong Leng
Guoyong Leng in OpenAIREMaoyi Huang;
Trissevgeni Stavrakou; Eliane G. Alves;Maoyi Huang
Maoyi Huang in OpenAIREPaulo Artaxo;
Rodrigo Augusto Ferreira de Souza;Paulo Artaxo
Paulo Artaxo in OpenAIREManish Shrivastava;
Oscar Vega;Manish Shrivastava
Manish Shrivastava in OpenAIREKarla Longo;
Karla Longo
Karla Longo in OpenAIREDasa Gu;
Dasa Gu; Scot T. Martin;Alex Guenther;
Alex Guenther; Haofei Yu;Alex Guenther
Alex Guenther in OpenAIRERoger Seco;
Roger Seco
Roger Seco in OpenAIREAbstractIsoprene dominates global non-methane volatile organic compound emissions, and impacts tropospheric chemistry by influencing oxidants and aerosols. Isoprene emission rates vary over several orders of magnitude for different plants, and characterizing this immense biological chemodiversity is a challenge for estimating isoprene emission from tropical forests. Here we present the isoprene emission estimates from aircraft eddy covariance measurements over the Amazonian forest. We report isoprene emission rates that are three times higher than satellite top-down estimates and 35% higher than model predictions. The results reveal strong correlations between observed isoprene emission rates and terrain elevations, which are confirmed by similar correlations between satellite-derived isoprene emissions and terrain elevations. We propose that the elevational gradient in the Amazonian forest isoprene emission capacity is determined by plant species distributions and can substantially explain isoprene emission variability in tropical forests, and use a model to demonstrate the resulting impacts on regional air quality.
Repositório do INPA arrow_drop_down Repositório do INPAArticle . 2017License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2017Full-Text: https://escholarship.org/uc/item/5670x5dbData sources: Bielefeld Academic Search Engine (BASE)eScholarship - University of CaliforniaArticle . 2017Data sources: eScholarship - University of CaliforniaeScholarship - University of CaliforniaArticle . 2017Data sources: eScholarship - University of CaliforniaHarvard University: DASH - Digital Access to Scholarship at HarvardArticle . 2017Data 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/ncomms15541&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 62 citations 62 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Repositório do INPA arrow_drop_down Repositório do INPAArticle . 2017License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2017Full-Text: https://escholarship.org/uc/item/5670x5dbData sources: Bielefeld Academic Search Engine (BASE)eScholarship - University of CaliforniaArticle . 2017Data sources: eScholarship - University of CaliforniaeScholarship - University of CaliforniaArticle . 2017Data sources: eScholarship - University of CaliforniaHarvard University: DASH - Digital Access to Scholarship at HarvardArticle . 2017Data 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/ncomms15541&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2017 China (People's Republic of), United States, Brazil, Brazil, China (People's Republic of), China (People's Republic of)Publisher:Springer Science and Business Media LLC Authors: Julio Tota;Fernando César Almada Santos;
Saewung Kim;Fernando César Almada Santos
Fernando César Almada Santos in OpenAIREJohn E. Shilling;
+21 AuthorsJohn E. Shilling
John E. Shilling in OpenAIREJulio Tota;Fernando César Almada Santos;
Saewung Kim;Fernando César Almada Santos
Fernando César Almada Santos in OpenAIREJohn E. Shilling;
Ying Liu; Zhiyuan Hu;John E. Shilling
John E. Shilling in OpenAIREChun Zhao;
Chun Zhao;Chun Zhao
Chun Zhao in OpenAIREGuoyong Leng;
Qing Yang;Guoyong Leng
Guoyong Leng in OpenAIREMaoyi Huang;
Trissevgeni Stavrakou; Eliane G. Alves;Maoyi Huang
Maoyi Huang in OpenAIREPaulo Artaxo;
Rodrigo Augusto Ferreira de Souza;Paulo Artaxo
Paulo Artaxo in OpenAIREManish Shrivastava;
Oscar Vega;Manish Shrivastava
Manish Shrivastava in OpenAIREKarla Longo;
Karla Longo
Karla Longo in OpenAIREDasa Gu;
Dasa Gu; Scot T. Martin;Alex Guenther;
Alex Guenther; Haofei Yu;Alex Guenther
Alex Guenther in OpenAIRERoger Seco;
Roger Seco
Roger Seco in OpenAIREAbstractIsoprene dominates global non-methane volatile organic compound emissions, and impacts tropospheric chemistry by influencing oxidants and aerosols. Isoprene emission rates vary over several orders of magnitude for different plants, and characterizing this immense biological chemodiversity is a challenge for estimating isoprene emission from tropical forests. Here we present the isoprene emission estimates from aircraft eddy covariance measurements over the Amazonian forest. We report isoprene emission rates that are three times higher than satellite top-down estimates and 35% higher than model predictions. The results reveal strong correlations between observed isoprene emission rates and terrain elevations, which are confirmed by similar correlations between satellite-derived isoprene emissions and terrain elevations. We propose that the elevational gradient in the Amazonian forest isoprene emission capacity is determined by plant species distributions and can substantially explain isoprene emission variability in tropical forests, and use a model to demonstrate the resulting impacts on regional air quality.
Repositório do INPA arrow_drop_down Repositório do INPAArticle . 2017License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2017Full-Text: https://escholarship.org/uc/item/5670x5dbData sources: Bielefeld Academic Search Engine (BASE)eScholarship - University of CaliforniaArticle . 2017Data sources: eScholarship - University of CaliforniaeScholarship - University of CaliforniaArticle . 2017Data sources: eScholarship - University of CaliforniaHarvard University: DASH - Digital Access to Scholarship at HarvardArticle . 2017Data 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/ncomms15541&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 62 citations 62 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Repositório do INPA arrow_drop_down Repositório do INPAArticle . 2017License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2017Full-Text: https://escholarship.org/uc/item/5670x5dbData sources: Bielefeld Academic Search Engine (BASE)eScholarship - University of CaliforniaArticle . 2017Data sources: eScholarship - University of CaliforniaeScholarship - University of CaliforniaArticle . 2017Data sources: eScholarship - University of CaliforniaHarvard University: DASH - Digital Access to Scholarship at HarvardArticle . 2017Data 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/ncomms15541&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2017Publisher:Elsevier BV pmid: 28672243
Temperature is known to be correlated with crop yields, causing reduction of crop yield with climate warming without adaptations or CO2 fertilization effects. The historical temperature-crop yield relation has often been used for informing future changes. This relationship, however, may change over time following alternations in other environmental factors. Results show that the strength of the relationship between the interannual variability of growing season temperature and corn yield (RGST_CY) has declined in the United States between 1980 and 2010 with a loss in the statistical significance. The regression slope which represents the anomalies in corn yield that occur in association with 1 degree temperature anomaly has decreased significantly from -6.9%/K of the first half period to -2.4%/K--3.5%/K of the second half period. This implies that projected corn yield reduction will be overestimated by a fact of 2 in a given warming scenario, if the corn-temperature relation is derived from the earlier historical period. Changes in RGST_CY are mainly observed in Midwest Corn Belt and central High Plains, but are partly reproduced by 11 process-based crop models. In Midwest rain-fed systems, the decrease of negative temperature effects coincides with an increase in water availability by precipitation. In irrigated areas where water stress is minimized, the decline of beneficial temperature effects is significantly related to the increase in extreme hot days. The results indicate that an extrapolation of historical yield response to temperature may bias the assessment of agriculture vulnerability to climate change. Efforts to reduce climate impacts on agriculture should pay attention not only to climate change, but also to changes in climate-crop yield relations. There are some caveats that should be acknowledged as the analysis is restricted to the changes in the linear relation between growing season mean temperature and corn yield for the specific study period.
The Science of The T... arrow_drop_down The Science of The Total EnvironmentArticle . 2017 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd 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.scitotenv.2017.06.211&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu33 citations 33 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert The Science of The T... arrow_drop_down The Science of The Total EnvironmentArticle . 2017 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd 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.scitotenv.2017.06.211&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2017Publisher:Elsevier BV pmid: 28672243
Temperature is known to be correlated with crop yields, causing reduction of crop yield with climate warming without adaptations or CO2 fertilization effects. The historical temperature-crop yield relation has often been used for informing future changes. This relationship, however, may change over time following alternations in other environmental factors. Results show that the strength of the relationship between the interannual variability of growing season temperature and corn yield (RGST_CY) has declined in the United States between 1980 and 2010 with a loss in the statistical significance. The regression slope which represents the anomalies in corn yield that occur in association with 1 degree temperature anomaly has decreased significantly from -6.9%/K of the first half period to -2.4%/K--3.5%/K of the second half period. This implies that projected corn yield reduction will be overestimated by a fact of 2 in a given warming scenario, if the corn-temperature relation is derived from the earlier historical period. Changes in RGST_CY are mainly observed in Midwest Corn Belt and central High Plains, but are partly reproduced by 11 process-based crop models. In Midwest rain-fed systems, the decrease of negative temperature effects coincides with an increase in water availability by precipitation. In irrigated areas where water stress is minimized, the decline of beneficial temperature effects is significantly related to the increase in extreme hot days. The results indicate that an extrapolation of historical yield response to temperature may bias the assessment of agriculture vulnerability to climate change. Efforts to reduce climate impacts on agriculture should pay attention not only to climate change, but also to changes in climate-crop yield relations. There are some caveats that should be acknowledged as the analysis is restricted to the changes in the linear relation between growing season mean temperature and corn yield for the specific study period.
The Science of The T... arrow_drop_down The Science of The Total EnvironmentArticle . 2017 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd 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.scitotenv.2017.06.211&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu33 citations 33 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert The Science of The T... arrow_drop_down The Science of The Total EnvironmentArticle . 2017 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd 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.scitotenv.2017.06.211&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2018Publisher:MDPI AG Authors:Kang Ren;
Kang Ren
Kang Ren in OpenAIREShengzhi Huang;
Qiang Huang;Shengzhi Huang
Shengzhi Huang in OpenAIREHao Wang;
+1 AuthorsHao Wang
Hao Wang in OpenAIREKang Ren;
Kang Ren
Kang Ren in OpenAIREShengzhi Huang;
Qiang Huang;Shengzhi Huang
Shengzhi Huang in OpenAIREHao Wang;
Hao Wang
Hao Wang in OpenAIREGuoyong Leng;
Guoyong Leng
Guoyong Leng in OpenAIREdoi: 10.3390/w10121737
A key challenge to environmental flow assessment in many rivers is to evaluate how much of the discharge flow should be retained in the river in order to maintain the integrity and valued features of riverine ecosystems. With the increasing impact of climate change and human activities on riverine ecosystems, the natural flow regime paradigm in many rivers has become non-stationary conditions, which is a new challenge to the assessment of environmental flow. This study presents a useful framework to (1) detect change points in runoff time series using two statistical methods (Mann-Kendall test method and heuristic segmentation method), (2) adjust data of the changed period against the original flow series into a stationary condition using a procedure of reconstruction; and (3) incorporate inter- and intra-annual streamflow variability with adjusted streamflow to evaluate environmental flow. The Jialing to Han inter-basin water transfer project was selected as the case study. Results indicate that a change point of 1994 was identified, revealing that the stationarity of annual streamflow series is invalid. The variations of reconstructed streamflow series are roughly consistent with original streamflow series, especially in the maximum/minimum values and rise/fall rates, but the mean value of reconstructed streamflow series is increased. The reconstructed streamflow series would further serve to eliminate the non-stationary of original streamflow, and incorporating the inter- and intra-annual variability would upgrade the ecosystem fitness. Selecting different criteria for the conservation of riverine ecosystems can have significantly different consequences, and we should not focus on the protection of specific objectives that will inevitably affect other aspects. This study provides a useful framework for environmental flow assessment and can be applied to a wide range of instream flow management approaches to protect the riverine ecosystem.
Water arrow_drop_down WaterOther literature type . 2018License: CC BYFull-Text: http://www.mdpi.com/2073-4441/10/12/1737/pdfData sources: Multidisciplinary Digital Publishing Instituteadd 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=10.3390/w10121737&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 8 citations 8 popularity Top 10% influence Average impulse Average Powered by BIP!
more_vert Water arrow_drop_down WaterOther literature type . 2018License: CC BYFull-Text: http://www.mdpi.com/2073-4441/10/12/1737/pdfData sources: Multidisciplinary Digital Publishing Instituteadd 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=10.3390/w10121737&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2018Publisher:MDPI AG Authors:Kang Ren;
Kang Ren
Kang Ren in OpenAIREShengzhi Huang;
Qiang Huang;Shengzhi Huang
Shengzhi Huang in OpenAIREHao Wang;
+1 AuthorsHao Wang
Hao Wang in OpenAIREKang Ren;
Kang Ren
Kang Ren in OpenAIREShengzhi Huang;
Qiang Huang;Shengzhi Huang
Shengzhi Huang in OpenAIREHao Wang;
Hao Wang
Hao Wang in OpenAIREGuoyong Leng;
Guoyong Leng
Guoyong Leng in OpenAIREdoi: 10.3390/w10121737
A key challenge to environmental flow assessment in many rivers is to evaluate how much of the discharge flow should be retained in the river in order to maintain the integrity and valued features of riverine ecosystems. With the increasing impact of climate change and human activities on riverine ecosystems, the natural flow regime paradigm in many rivers has become non-stationary conditions, which is a new challenge to the assessment of environmental flow. This study presents a useful framework to (1) detect change points in runoff time series using two statistical methods (Mann-Kendall test method and heuristic segmentation method), (2) adjust data of the changed period against the original flow series into a stationary condition using a procedure of reconstruction; and (3) incorporate inter- and intra-annual streamflow variability with adjusted streamflow to evaluate environmental flow. The Jialing to Han inter-basin water transfer project was selected as the case study. Results indicate that a change point of 1994 was identified, revealing that the stationarity of annual streamflow series is invalid. The variations of reconstructed streamflow series are roughly consistent with original streamflow series, especially in the maximum/minimum values and rise/fall rates, but the mean value of reconstructed streamflow series is increased. The reconstructed streamflow series would further serve to eliminate the non-stationary of original streamflow, and incorporating the inter- and intra-annual variability would upgrade the ecosystem fitness. Selecting different criteria for the conservation of riverine ecosystems can have significantly different consequences, and we should not focus on the protection of specific objectives that will inevitably affect other aspects. This study provides a useful framework for environmental flow assessment and can be applied to a wide range of instream flow management approaches to protect the riverine ecosystem.
Water arrow_drop_down WaterOther literature type . 2018License: CC BYFull-Text: http://www.mdpi.com/2073-4441/10/12/1737/pdfData sources: Multidisciplinary Digital Publishing Instituteadd 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=10.3390/w10121737&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 8 citations 8 popularity Top 10% influence Average impulse Average Powered by BIP!
more_vert Water arrow_drop_down WaterOther literature type . 2018License: CC BYFull-Text: http://www.mdpi.com/2073-4441/10/12/1737/pdfData sources: Multidisciplinary Digital Publishing Instituteadd 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=10.3390/w10121737&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2017Publisher:Springer Science and Business Media LLC Authors:Guoyong Leng;
Guoyong Leng
Guoyong Leng in OpenAIREMaoyi Huang;
Maoyi Huang
Maoyi Huang in OpenAIREAbstractThe linkage between crop yield and climate variability has been confirmed in numerous studies using statistical approaches. A crucial assumption in these studies is that crop spatial distribution pattern is constant over time. Here, we explore how changes in county-level corn spatial distribution pattern modulate the response of its yields to climate change at the state level over the Contiguous United States. Our results show that corn yield response to climate change varies with crop spatial distribution pattern, with distinct impacts on the magnitude and even the direction at the state level. Corn yield is predicted to decrease by 20~40% by 2050 s when considering crop spatial distribution pattern changes, which is 6~12% less than the estimates with fixed cropping pattern. The beneficial effects are mainly achieved by reducing the negative impacts of daily maximum temperature and strengthening the positive impacts of precipitation. Our results indicate that previous empirical studies could be biased in assessing climate change impacts by ignoring the changes in crop spatial distribution pattern. This has great implications for understanding the increasing debates on whether climate change will be a net gain or loss for regional agriculture.
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/s41598-017-01599-2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 113 citations 113 popularity Top 1% influence Top 10% impulse Top 1% 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=10.1038/s41598-017-01599-2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2017Publisher:Springer Science and Business Media LLC Authors:Guoyong Leng;
Guoyong Leng
Guoyong Leng in OpenAIREMaoyi Huang;
Maoyi Huang
Maoyi Huang in OpenAIREAbstractThe linkage between crop yield and climate variability has been confirmed in numerous studies using statistical approaches. A crucial assumption in these studies is that crop spatial distribution pattern is constant over time. Here, we explore how changes in county-level corn spatial distribution pattern modulate the response of its yields to climate change at the state level over the Contiguous United States. Our results show that corn yield response to climate change varies with crop spatial distribution pattern, with distinct impacts on the magnitude and even the direction at the state level. Corn yield is predicted to decrease by 20~40% by 2050 s when considering crop spatial distribution pattern changes, which is 6~12% less than the estimates with fixed cropping pattern. The beneficial effects are mainly achieved by reducing the negative impacts of daily maximum temperature and strengthening the positive impacts of precipitation. Our results indicate that previous empirical studies could be biased in assessing climate change impacts by ignoring the changes in crop spatial distribution pattern. This has great implications for understanding the increasing debates on whether climate change will be a net gain or loss for regional agriculture.
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/s41598-017-01599-2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 113 citations 113 popularity Top 1% influence Top 10% impulse Top 1% 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=10.1038/s41598-017-01599-2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Journal 2019 United KingdomPublisher:Elsevier BV Funded by:WT | Future of Animal-sourced ...WT| Future of Animal-sourced Foods (FOAF)Understanding the potential drought impacts on agricultural production is critical for ensuring global food security. Instead of providing a deterministic estimate, this study investigates the likelihood of yield loss of wheat, maize, rice and soybeans in response to droughts of various intensities in the 10 largest producing countries. We use crop-country specific standardized precipitation index (SPI) and census yield data for 1961-2016 to build a probabilistic modeling framework for estimating yield loss risk under a moderate (-1.2 80% probability that wheat production will fall below its long-term average when experiencing an exceptional drought, especially in USA and Canada. As for maize, India shows the highest risk of yield reduction under droughts, while rice is the crop that is most vulnerable to droughts in Vietnam and Thailand. Risk of drought-driven soybean yield loss is the highest in USA, Russian and India. Yield loss risk tends to grow faster when experiencing a shift in drought severity from moderate to severe than that from extreme to the exceptional category, demonstrating the non-linear response of yield to the increase in drought severity. Sensitivity analysis shows that temperature plays an important role in determining drought impacts, through reducing or amplifying drought-driven yield loss risk. Compared to present conditions, an ensemble of 11 crop models simulated an increase in yield loss risk by 9%-12%, 5.6%-6.3%, 18.1%-19.4% and 15.1%-16.1 for wheat, maize, rice and soybeans by the end of 21st century, respectively, without considering the benefits of CO2 fertilization and adaptations. This study highlights the non-linear response of yield loss risk to the increase in drought severity. This implies that adaptations should be more targeted, considering not only the crop type and region but also the specific drought severity of interest.
The Science of The T... arrow_drop_down The Science of The Total EnvironmentArticle . 2019 . Peer-reviewedLicense: CC BYData sources: CrossrefOxford University Research ArchiveArticle . 2018License: CC BYData sources: Oxford University Research Archiveadd 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 hybrid 488 citations 488 popularity Top 0.1% influence Top 1% impulse Top 0.1% Powered by BIP!
more_vert The Science of The T... arrow_drop_down The Science of The Total EnvironmentArticle . 2019 . Peer-reviewedLicense: CC BYData sources: CrossrefOxford University Research ArchiveArticle . 2018License: CC BYData sources: Oxford University Research Archiveadd 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 , Conference object , Other literature type , Journal 2019 United KingdomPublisher:Elsevier BV Funded by:WT | Future of Animal-sourced ...WT| Future of Animal-sourced Foods (FOAF)Understanding the potential drought impacts on agricultural production is critical for ensuring global food security. Instead of providing a deterministic estimate, this study investigates the likelihood of yield loss of wheat, maize, rice and soybeans in response to droughts of various intensities in the 10 largest producing countries. We use crop-country specific standardized precipitation index (SPI) and census yield data for 1961-2016 to build a probabilistic modeling framework for estimating yield loss risk under a moderate (-1.2 80% probability that wheat production will fall below its long-term average when experiencing an exceptional drought, especially in USA and Canada. As for maize, India shows the highest risk of yield reduction under droughts, while rice is the crop that is most vulnerable to droughts in Vietnam and Thailand. Risk of drought-driven soybean yield loss is the highest in USA, Russian and India. Yield loss risk tends to grow faster when experiencing a shift in drought severity from moderate to severe than that from extreme to the exceptional category, demonstrating the non-linear response of yield to the increase in drought severity. Sensitivity analysis shows that temperature plays an important role in determining drought impacts, through reducing or amplifying drought-driven yield loss risk. Compared to present conditions, an ensemble of 11 crop models simulated an increase in yield loss risk by 9%-12%, 5.6%-6.3%, 18.1%-19.4% and 15.1%-16.1 for wheat, maize, rice and soybeans by the end of 21st century, respectively, without considering the benefits of CO2 fertilization and adaptations. This study highlights the non-linear response of yield loss risk to the increase in drought severity. This implies that adaptations should be more targeted, considering not only the crop type and region but also the specific drought severity of interest.
The Science of The T... arrow_drop_down The Science of The Total EnvironmentArticle . 2019 . Peer-reviewedLicense: CC BYData sources: CrossrefOxford University Research ArchiveArticle . 2018License: CC BYData sources: Oxford University Research Archiveadd 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.scitotenv.2018.10.434&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 488 citations 488 popularity Top 0.1% influence Top 1% impulse Top 0.1% Powered by BIP!
more_vert The Science of The T... arrow_drop_down The Science of The Total EnvironmentArticle . 2019 . Peer-reviewedLicense: CC BYData sources: CrossrefOxford University Research ArchiveArticle . 2018License: CC BYData sources: Oxford University Research Archiveadd 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.scitotenv.2018.10.434&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2018Embargo end date: 12 Jun 2018 Netherlands, Netherlands, Germany, Austria, United Kingdom, United Kingdom, Switzerland, United KingdomPublisher:IOP Publishing Funded by:EC | HELIXEC| HELIXAuthors: Yadu Pokhrel;Yusuke Satoh;
Yusuke Satoh
Yusuke Satoh in OpenAIREDieter Gerten;
Dieter Gerten; +19 AuthorsDieter Gerten
Dieter Gerten in OpenAIREYadu Pokhrel;Yusuke Satoh;
Yusuke Satoh
Yusuke Satoh in OpenAIREDieter Gerten;
Dieter Gerten;Dieter Gerten
Dieter Gerten in OpenAIREGuoyong Leng;
Guoyong Leng
Guoyong Leng in OpenAIRETaikan Oki;
Taikan Oki; Ingjerd Haddeland;Taikan Oki
Taikan Oki in OpenAIREJamal Zaherpour;
Jamal Zaherpour
Jamal Zaherpour in OpenAIRETed Veldkamp;
Ted Veldkamp; Nick J. Mount; Yoshimitsu Masaki;Ted Veldkamp
Ted Veldkamp in OpenAIRERutger Dankers;
Rutger Dankers
Rutger Dankers in OpenAIREJacob Schewe;
Jacob Schewe
Jacob Schewe in OpenAIRENaota Hanasaki;
Hyungjun Kim;Naota Hanasaki
Naota Hanasaki in OpenAIREYoshihide Wada;
Yoshihide Wada
Yoshihide Wada in OpenAIREJunguo Liu;
Stephanie Eisner;Junguo Liu
Junguo Liu in OpenAIRELukas Gudmundsson;
Lukas Gudmundsson
Lukas Gudmundsson in OpenAIRESimon N. Gosling;
Simon N. Gosling
Simon N. Gosling in OpenAIREHannes Müller Schmied;
Hannes Müller Schmied
Hannes Müller Schmied in OpenAIREGlobal-scale hydrological models are routinely used to assess water scarcity, flood hazards and droughts worldwide. Recent efforts to incorporate anthropogenic activities in these models have enabled more realistic comparisons with observations. Here we evaluate simulations from an ensemble of six models participating in the second phase of the Inter-Sectoral Impact Model Inter-comparison Project (ISIMIP2a). We simulate monthly runoff in 40 catchments, spatially distributed across eight global hydrobelts. The performance of each model and the ensemble mean is examined with respect to their ability to replicate observed mean and extreme runoff under human-influenced conditions. Application of a novel integrated evaluation metric to quantify the models' ability to simulate timeseries of monthly runoff suggests that the models generally perform better in the wetter equatorial and northern hydrobelts than in drier southern hydrobelts. When model outputs are temporally aggregated to assess mean annual and extreme runoff, the models perform better. Nevertheless, we find a general trend in the majority of models towards the overestimation of mean annual runoff and all indicators of upper and lower extreme runoff. The models struggle to capture the timing of the seasonal cycle, particularly in northern hydrobelts, while in southern hydrobelts the models struggle to reproduce the magnitude of the seasonal cycle. It is noteworthy that over all hydrological indicators, the ensemble mean fails to perform better than any individual model—a finding that challenges the commonly held perception that model ensemble estimates deliver superior performance over individual models. The study highlights the need for continued model development and improvement. It also suggests that caution should be taken when summarising the simulations from a model ensemble based upon its mean output. Environmental Research Letters, 13 (6) ISSN:1748-9326 ISSN:1748-9318
Nottingham Research ... arrow_drop_down Nottingham Research RepositoryArticle . 2018License: CC BYData sources: CORE (RIOXX-UK Aggregator)IIASA PUREArticle . 2018 . Peer-reviewedFull-Text: https://pure.iiasa.ac.at/id/eprint/15398/1/Zaherpour_2018_Environ._Res._Lett._13_065015.pdfData sources: IIASA PUREIIASA PUREArticle . 2018 . Peer-reviewedFull-Text: http://pure.iiasa.ac.at/id/eprint/15398/1/Zaherpour_2018_Environ._Res._Lett._13_065015.pdfData sources: IIASA PUREIIASA DAREArticle . 2018License: CC BYFull-Text: https://pure.iiasa.ac.at/id/eprint/15398/1/Zaherpour_2018_Environ._Res._Lett._13_065015.pdfData sources: Bielefeld Academic Search Engine (BASE)Environmental Research LettersArticle . 2018Data sources: DANS (Data Archiving and Networked Services)Environmental Research LettersArticle . 2018Oxford University Research ArchiveArticle . 2018License: CC BYData sources: Oxford University Research ArchiveFachrepositorium LebenswissenschaftenArticle . 2018License: CC BYData sources: Fachrepositorium Lebenswissenschaftenadd 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/aac547&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 99 citations 99 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Nottingham Research ... arrow_drop_down Nottingham Research RepositoryArticle . 2018License: CC BYData sources: CORE (RIOXX-UK Aggregator)IIASA PUREArticle . 2018 . Peer-reviewedFull-Text: https://pure.iiasa.ac.at/id/eprint/15398/1/Zaherpour_2018_Environ._Res._Lett._13_065015.pdfData sources: IIASA PUREIIASA PUREArticle . 2018 . Peer-reviewedFull-Text: http://pure.iiasa.ac.at/id/eprint/15398/1/Zaherpour_2018_Environ._Res._Lett._13_065015.pdfData sources: IIASA PUREIIASA DAREArticle . 2018License: CC BYFull-Text: https://pure.iiasa.ac.at/id/eprint/15398/1/Zaherpour_2018_Environ._Res._Lett._13_065015.pdfData sources: Bielefeld Academic Search Engine (BASE)Environmental Research LettersArticle . 2018Data sources: DANS (Data Archiving and Networked Services)Environmental Research LettersArticle . 2018Oxford University Research ArchiveArticle . 2018License: CC BYData sources: Oxford University Research ArchiveFachrepositorium LebenswissenschaftenArticle . 2018License: CC BYData sources: Fachrepositorium Lebenswissenschaftenadd 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/aac547&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2018Embargo end date: 12 Jun 2018 Netherlands, Netherlands, Germany, Austria, United Kingdom, United Kingdom, Switzerland, United KingdomPublisher:IOP Publishing Funded by:EC | HELIXEC| HELIXAuthors: Yadu Pokhrel;Yusuke Satoh;
Yusuke Satoh
Yusuke Satoh in OpenAIREDieter Gerten;
Dieter Gerten; +19 AuthorsDieter Gerten
Dieter Gerten in OpenAIREYadu Pokhrel;Yusuke Satoh;
Yusuke Satoh
Yusuke Satoh in OpenAIREDieter Gerten;
Dieter Gerten;Dieter Gerten
Dieter Gerten in OpenAIREGuoyong Leng;
Guoyong Leng
Guoyong Leng in OpenAIRETaikan Oki;
Taikan Oki; Ingjerd Haddeland;Taikan Oki
Taikan Oki in OpenAIREJamal Zaherpour;
Jamal Zaherpour
Jamal Zaherpour in OpenAIRETed Veldkamp;
Ted Veldkamp; Nick J. Mount; Yoshimitsu Masaki;Ted Veldkamp
Ted Veldkamp in OpenAIRERutger Dankers;
Rutger Dankers
Rutger Dankers in OpenAIREJacob Schewe;
Jacob Schewe
Jacob Schewe in OpenAIRENaota Hanasaki;
Hyungjun Kim;Naota Hanasaki
Naota Hanasaki in OpenAIREYoshihide Wada;
Yoshihide Wada
Yoshihide Wada in OpenAIREJunguo Liu;
Stephanie Eisner;Junguo Liu
Junguo Liu in OpenAIRELukas Gudmundsson;
Lukas Gudmundsson
Lukas Gudmundsson in OpenAIRESimon N. Gosling;
Simon N. Gosling
Simon N. Gosling in OpenAIREHannes Müller Schmied;
Hannes Müller Schmied
Hannes Müller Schmied in OpenAIREGlobal-scale hydrological models are routinely used to assess water scarcity, flood hazards and droughts worldwide. Recent efforts to incorporate anthropogenic activities in these models have enabled more realistic comparisons with observations. Here we evaluate simulations from an ensemble of six models participating in the second phase of the Inter-Sectoral Impact Model Inter-comparison Project (ISIMIP2a). We simulate monthly runoff in 40 catchments, spatially distributed across eight global hydrobelts. The performance of each model and the ensemble mean is examined with respect to their ability to replicate observed mean and extreme runoff under human-influenced conditions. Application of a novel integrated evaluation metric to quantify the models' ability to simulate timeseries of monthly runoff suggests that the models generally perform better in the wetter equatorial and northern hydrobelts than in drier southern hydrobelts. When model outputs are temporally aggregated to assess mean annual and extreme runoff, the models perform better. Nevertheless, we find a general trend in the majority of models towards the overestimation of mean annual runoff and all indicators of upper and lower extreme runoff. The models struggle to capture the timing of the seasonal cycle, particularly in northern hydrobelts, while in southern hydrobelts the models struggle to reproduce the magnitude of the seasonal cycle. It is noteworthy that over all hydrological indicators, the ensemble mean fails to perform better than any individual model—a finding that challenges the commonly held perception that model ensemble estimates deliver superior performance over individual models. The study highlights the need for continued model development and improvement. It also suggests that caution should be taken when summarising the simulations from a model ensemble based upon its mean output. Environmental Research Letters, 13 (6) ISSN:1748-9326 ISSN:1748-9318
Nottingham Research ... arrow_drop_down Nottingham Research RepositoryArticle . 2018License: CC BYData sources: CORE (RIOXX-UK Aggregator)IIASA PUREArticle . 2018 . Peer-reviewedFull-Text: https://pure.iiasa.ac.at/id/eprint/15398/1/Zaherpour_2018_Environ._Res._Lett._13_065015.pdfData sources: IIASA PUREIIASA PUREArticle . 2018 . Peer-reviewedFull-Text: http://pure.iiasa.ac.at/id/eprint/15398/1/Zaherpour_2018_Environ._Res._Lett._13_065015.pdfData sources: IIASA PUREIIASA DAREArticle . 2018License: CC BYFull-Text: https://pure.iiasa.ac.at/id/eprint/15398/1/Zaherpour_2018_Environ._Res._Lett._13_065015.pdfData sources: Bielefeld Academic Search Engine (BASE)Environmental Research LettersArticle . 2018Data sources: DANS (Data Archiving and Networked Services)Environmental Research LettersArticle . 2018Oxford University Research ArchiveArticle . 2018License: CC BYData sources: Oxford University Research ArchiveFachrepositorium LebenswissenschaftenArticle . 2018License: CC BYData sources: Fachrepositorium Lebenswissenschaftenadd 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/aac547&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 99 citations 99 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Nottingham Research ... arrow_drop_down Nottingham Research RepositoryArticle . 2018License: CC BYData sources: CORE (RIOXX-UK Aggregator)IIASA PUREArticle . 2018 . Peer-reviewedFull-Text: https://pure.iiasa.ac.at/id/eprint/15398/1/Zaherpour_2018_Environ._Res._Lett._13_065015.pdfData sources: IIASA PUREIIASA PUREArticle . 2018 . Peer-reviewedFull-Text: http://pure.iiasa.ac.at/id/eprint/15398/1/Zaherpour_2018_Environ._Res._Lett._13_065015.pdfData sources: IIASA PUREIIASA DAREArticle . 2018License: CC BYFull-Text: https://pure.iiasa.ac.at/id/eprint/15398/1/Zaherpour_2018_Environ._Res._Lett._13_065015.pdfData sources: Bielefeld Academic Search Engine (BASE)Environmental Research LettersArticle . 2018Data sources: DANS (Data Archiving and Networked Services)Environmental Research LettersArticle . 2018Oxford University Research ArchiveArticle . 2018License: CC BYData sources: Oxford University Research ArchiveFachrepositorium LebenswissenschaftenArticle . 2018License: CC BYData sources: Fachrepositorium Lebenswissenschaftenadd 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/aac547&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2021Publisher:IOP Publishing Abstract The negative drought impacts on crop yield are well recognized in the literature, but are evaluated mainly in a deterministic manner. Considering the randomness feature of droughts and the compounding effects of other factors, we hypothesize that droughts effects on yields are probabilistic especially for assessment in large geographical regions. Taking US maize yield as an example, we found that a moderate, severe, extreme and exceptional drought event (based on the standardized precipitation evapotranspiration index) would lead to a yield loss risk (i.e. the probability of yield reduction lower than expected value) of 64.3%, 69.9%, 73.6%, and 78.1%, respectively, with hotspots identified in Central and Southeastern US. Irrigation has reduced yield loss risk by 10%–27%, with the benefit magnitude depending on the drought intensity. Evaluations of eight process crop models indicate that they can well reproduce observed drought risks for the country as a whole, but show difficult in capturing the spatial distribution patterns. The results highlight the diverse risk pattern in response to a drought event of specific intensity, and emphasize the need for better representation of drought effects in process models at local scales. The analysis framework developed in this study is novel in that it allows for an event-based assessment of drought effects in a risk manner in both observations and process crop models. Such information is valuable not only for robust decision-makings but also for the insurance sector, which typically require the risk information rather than a single value of outcome especially given the uncertainty of drought effects.
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/abd500&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 29 citations 29 popularity Top 10% influence Top 10% impulse Top 10% 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=10.1088/1748-9326/abd500&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2021Publisher:IOP Publishing Abstract The negative drought impacts on crop yield are well recognized in the literature, but are evaluated mainly in a deterministic manner. Considering the randomness feature of droughts and the compounding effects of other factors, we hypothesize that droughts effects on yields are probabilistic especially for assessment in large geographical regions. Taking US maize yield as an example, we found that a moderate, severe, extreme and exceptional drought event (based on the standardized precipitation evapotranspiration index) would lead to a yield loss risk (i.e. the probability of yield reduction lower than expected value) of 64.3%, 69.9%, 73.6%, and 78.1%, respectively, with hotspots identified in Central and Southeastern US. Irrigation has reduced yield loss risk by 10%–27%, with the benefit magnitude depending on the drought intensity. Evaluations of eight process crop models indicate that they can well reproduce observed drought risks for the country as a whole, but show difficult in capturing the spatial distribution patterns. The results highlight the diverse risk pattern in response to a drought event of specific intensity, and emphasize the need for better representation of drought effects in process models at local scales. The analysis framework developed in this study is novel in that it allows for an event-based assessment of drought effects in a risk manner in both observations and process crop models. Such information is valuable not only for robust decision-makings but also for the insurance sector, which typically require the risk information rather than a single value of outcome especially given the uncertainty of drought effects.
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/abd500&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 29 citations 29 popularity Top 10% influence Top 10% impulse Top 10% 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=10.1088/1748-9326/abd500&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu