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description Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Journal 2019Embargo end date: 16 Mar 2019 Netherlands, France, United Kingdom, Germany, Switzerland, France, France, France, France, Japan, France, Netherlands, Netherlands, Canada, Spain, France, AustriaPublisher:Springer Science and Business Media LLC Funded by:EC | IMPACT2C, EC | HELIXEC| IMPACT2C ,EC| HELIXJeroen Steenbeek; Erwin Schmid; Tyler D. Eddy; Tyler D. Eddy; Tyler D. Eddy; Derek P. Tittensor; Derek P. Tittensor; Rene Orth; Rene Orth; Yadu Pokhrel; Joshua Elliott; Yusuke Satoh; Yusuke Satoh; Christian Folberth; Louis François; Andrew D. Friend; Catherine Morfopoulos; Nikolay Khabarov; Peter Lawrence; Naota Hanasaki; Michelle T. H. van Vliet; Akihiko Ito; Sonia I. Seneviratne; Veronika Huber; Thomas A. M. Pugh; Jinfeng Chang; Tobias Stacke; Philippe Ciais; Lila Warszawski; Jan Volkholz; Matthias Büchner; Yoshihide Wada; Christopher P. O. Reyer; Xuhui Wang; Xuhui Wang; Xuhui Wang; Dieter Gerten; Dieter Gerten; Sebastian Ostberg; Qiuhong Tang; Gen Sakurai; David A. Carozza; David A. Carozza; Christoph Müller; Jacob Schewe; Lutz Breuer; Delphine Deryng; Heike K. Lotze; Hannes Müller Schmied; Robert Vautard; Hyungjun Kim; Fang Zhao; Allard de Wit; Jörg Steinkamp; Katja Frieler; Simon N. Gosling; Lukas Gudmundsson; Marta Coll; Hanqin Tian;doi: 10.1038/s41467-019-08745-6 , 10.17863/cam.37807 , 10.60692/8dj48-81382 , 10.3929/ethz-b-000330244 , 10.60692/8mcvk-e7225
pmid: 30824763
pmc: PMC6397256
handle: 10261/181642
doi: 10.1038/s41467-019-08745-6 , 10.17863/cam.37807 , 10.60692/8dj48-81382 , 10.3929/ethz-b-000330244 , 10.60692/8mcvk-e7225
pmid: 30824763
pmc: PMC6397256
handle: 10261/181642
AbstractGlobal impact models represent process-level understanding of how natural and human systems may be affected by climate change. Their projections are used in integrated assessments of climate change. Here we test, for the first time, systematically across many important systems, how well such impact models capture the impacts of extreme climate conditions. Using the 2003 European heat wave and drought as a historical analogue for comparable events in the future, we find that a majority of models underestimate the extremeness of impacts in important sectors such as agriculture, terrestrial ecosystems, and heat-related human mortality, while impacts on water resources and hydropower are overestimated in some river basins; and the spread across models is often large. This has important implications for economic assessments of climate change impacts that rely on these models. It also means that societal risks from future extreme events may be greater than previously thought.
IIASA PURE arrow_drop_down Université Jean Monnet – Saint-Etienne: HALArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)École Polytechnique, Université Paris-Saclay: HALArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2019License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)Memorial University of Newfoundland: Research RepositoryArticle . 2019License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2019 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAWageningen Staff PublicationsArticle . 2019License: CC BYData sources: Wageningen Staff PublicationsHochschulschriftenserver - Universität Frankfurt am MainArticle . 2019Data sources: Hochschulschriftenserver - Universität Frankfurt am MainPublication Server of Goethe University Frankfurt am MainArticle . 2019License: 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=10.1038/s41467-019-08745-6&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 202 citations 202 popularity Top 0.1% influence Top 10% impulse Top 0.1% Powered by BIP!
more_vert IIASA PURE arrow_drop_down Université Jean Monnet – Saint-Etienne: HALArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)École Polytechnique, Université Paris-Saclay: HALArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2019License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)Memorial University of Newfoundland: Research RepositoryArticle . 2019License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2019 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAWageningen Staff PublicationsArticle . 2019License: CC BYData sources: Wageningen Staff PublicationsHochschulschriftenserver - Universität Frankfurt am MainArticle . 2019Data sources: Hochschulschriftenserver - Universität Frankfurt am MainPublication Server of Goethe University Frankfurt am MainArticle . 2019License: 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=10.1038/s41467-019-08745-6&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Journal 2017 France, France, France, France, France, France, Germany, FrancePublisher:IOP Publishing Funded by:EC | IMBALANCE-P, NSF | Collaborative Research: E..., EC | HELIXEC| IMBALANCE-P ,NSF| Collaborative Research: EaSM2--Wildfires and Regional Climate Variability - Mechanisms, Modeling, and Prediction ,EC| HELIXAuthors: Sibyll Schaphoff; Christopher P. O. Reyer; Frédéric Chevallier; Jörg Steinkamp; +29 AuthorsSibyll Schaphoff; Christopher P. O. Reyer; Frédéric Chevallier; Jörg Steinkamp; Jia Yang; Rashid Rafique; Ghassem R. Asrar; Ning Zeng; Kazuya Nishina; Akihiko Ito; Shushi Peng; Fang Zhao; Shufen Pan; Sebastian Ostberg; Sebastian Ostberg; Jinfeng Chang; Jinfeng Chang; Louis François; Shilong Piao; Katja Frieler; Guy Munhoven; Marie Dury; Thomas Hickler; Philippe Ciais; Xuhui Wang; Xuhui Wang; Alexandra-Jane Henrot; Hanqin Tian; Christrian Rödenbeck; Anselmo Garcia Cantu Ros; Richard Betts; Nicolas Viovy; Catherine Morfopoulos;Le but de cette étude est d'évaluer les huit modèles de biome ISIMIP2a par rapport à des estimations indépendantes des flux nets de carbone à long terme (c'est-à-dire la productivité nette du biome, NBP) sur les écosystèmes terrestres au cours des quatre dernières décennies (1971–2010). Nous évaluons le NBP mondial modélisé par rapport à 1) le puits terrestre résiduel mondial (RLS) mis à jour plus les émissions liées à l'utilisation des terres (ELUC) du Global Carbon Project (GCP), présenté comme R + L dans cette étude par Le Quéré et al (2015), et 2) les flux de CO2 terrestre provenant de deux systèmes d'inversion atmosphérique : Jena CarboScope s81_v3.8 et CAMS v15r2, appelés FJena et FCAMS respectivement. L'ensemble de modèles - moyenne NBP (qui comprend sept modèles avec changement d'affectation des terres) est plus élevé que mais dans l'incertitude de R + L, tandis que la tendance NBP positive simulée au cours des 30 dernières années est inférieure à celle de R + L et des deux systèmes d'inversion. Les modèles de biome ISIMIP2a capturent bien la variation interannuelle des flux nets mondiaux de carbone des écosystèmes terrestres. La NBP tropicale représente 31 ± 17 % de la NBP totale mondiale au cours des dernières décennies, et la variation d'une année à l'autre de la NBP tropicale contribue pour l'essentiel à la variation interannuelle de la NBP mondiale. Selon les modèles, l'augmentation de la productivité primaire nette (NPP) a été la principale cause de l'augmentation générale de la NBP. Des anomalies NBP globales significatives à partir de la moyenne à long terme entre les deux phases des événements El Niño Southern Oscillation (ENSO) sont simulées par tous les modèles (p < 0,05), ce qui est cohérent avec l'estimation R + L (p = 0,06), également principalement attribuée à des anomalies NPP, plutôt qu'à des changements dans la respiration hétérotrophique (Rh). Les anomalies mondiales de la centrale nucléaire et de la centrale nucléaire nucléaire pendant les événements ENSO sont dominées par leurs anomalies dans les régions tropicales touchées par la variabilité du climat tropical. Les régressions multiples entre les variations interannuelles de R + L, FJena et FCAMS et les variations du climat tropical révèlent une réponse négative significative des flux nets mondiaux de carbone des écosystèmes terrestres à la variation de la température annuelle moyenne tropicale, et une réponse non significative à la variation des précipitations annuelles tropicales. Selon les modèles, les précipitations tropicales sont un facteur plus important, ce qui suggère que certains modèles ne saisissent pas correctement les rôles des précipitations et des changements de température. El propósito de este estudio es evaluar los ocho modelos de bioma ISIMIP2a contra estimaciones independientes de flujos netos de carbono a largo plazo (es decir, Productividad Neta del Bioma, NBP) sobre ecosistemas terrestres durante las últimas cuatro décadas (1971–2010). Evaluamos el NBP global modelado contra 1) el sumidero de tierra residual (RLS) global actualizado más las emisiones de uso de la tierra (ELUC) del Proyecto Global de Carbono (GCP), presentado como R + L en este estudio por Le Quéré et al (2015), y 2) los flujos de CO2 terrestre de dos sistemas de inversión atmosférica: Jena CarboScope s81_v3.8 y CAMS v15r2, denominados FJena y FCAMS respectivamente. La media del conjunto de modelos NBP (que incluye siete modelos con cambio de uso de la tierra) es mayor que, pero dentro de la incertidumbre de R + L, mientras que la tendencia positiva simulada de NBP en los últimos 30 años es menor que la de R + L y de los dos sistemas de inversión. Los modelos de bioma ISIMIP2a capturan bien la variación interanual de los flujos netos globales de carbono del ecosistema terrestre. El NBP tropical representa el 31 ± 17% del NBP total global durante las últimas décadas, y la variación interanual del NBP tropical contribuye con la mayor parte de la variación interanual del NBP global. Según los modelos, el aumento de la productividad primaria neta (PPN) fue la causa principal del aumento general de la PNB. Todos los modelos simulan anomalías de NBP globales significativas de la media a largo plazo entre las dos fases de los eventos de El Niño Oscilación del Sur (Enos) (p < 0.05), lo cual es consistente con la estimación de R + L (p = 0.06), también atribuida principalmente a anomalías de NPP, más que a cambios en la respiración heterótrofa (Rh). Las anomalías globales de NPP y NBP durante los eventos Enos están dominadas por sus anomalías en las regiones tropicales afectadas por la variabilidad del clima tropical. Las múltiples regresiones entre las variaciones interanuales de R + L, FJena y FCAMS y las variaciones del clima tropical revelan una respuesta negativa significativa de los flujos netos globales de carbono del ecosistema terrestre a la variación de la temperatura media anual tropical, y una respuesta no significativa a la variación de la precipitación anual tropical. Según los modelos, la precipitación tropical es un impulsor más importante, lo que sugiere que algunos modelos no capturan adecuadamente los roles de la precipitación y los cambios de temperatura. The purpose of this study is to evaluate the eight ISIMIP2a biome models against independent estimates of long-term net carbon fluxes (i.e. Net Biome Productivity, NBP) over terrestrial ecosystems for the recent four decades (1971–2010). We evaluate modeled global NBP against 1) the updated global residual land sink (RLS) plus land use emissions (ELUC) from the Global Carbon Project (GCP), presented as R + L in this study by Le Quéré et al (2015), and 2) the land CO2 fluxes from two atmospheric inversion systems: Jena CarboScope s81_v3.8 and CAMS v15r2, referred to as FJena and FCAMS respectively. The model ensemble-mean NBP (that includes seven models with land-use change) is higher than but within the uncertainty of R + L, while the simulated positive NBP trend over the last 30 yr is lower than that from R + L and from the two inversion systems. ISIMIP2a biome models well capture the interannual variation of global net terrestrial ecosystem carbon fluxes. Tropical NBP represents 31 ± 17% of global total NBP during the past decades, and the year-to-year variation of tropical NBP contributes most of the interannual variation of global NBP. According to the models, increasing Net Primary Productivity (NPP) was the main cause for the generally increasing NBP. Significant global NBP anomalies from the long-term mean between the two phases of El Niño Southern Oscillation (ENSO) events are simulated by all models (p < 0.05), which is consistent with the R + L estimate (p = 0.06), also mainly attributed to NPP anomalies, rather than to changes in heterotrophic respiration (Rh). The global NPP and NBP anomalies during ENSO events are dominated by their anomalies in tropical regions impacted by tropical climate variability. Multiple regressions between R + L, FJena and FCAMS interannual variations and tropical climate variations reveal a significant negative response of global net terrestrial ecosystem carbon fluxes to tropical mean annual temperature variation, and a non-significant response to tropical annual precipitation variation. According to the models, tropical precipitation is a more important driver, suggesting that some models do not capture the roles of precipitation and temperature changes adequately. الغرض من هذه الدراسة هو تقييم نماذج المناطق الأحيائية الثمانية ISIMIP2a مقابل التقديرات المستقلة لصافي تدفقات الكربون طويلة الأجل (أي صافي إنتاجية المناطق الأحيائية) على النظم الإيكولوجية الأرضية على مدى العقود الأربعة الأخيرة (1971–2010). نقوم بتقييم خطة العمل الوطنية العالمية المنمذجة مقابل 1) بالوعة الأراضي المتبقية العالمية المحدثة بالإضافة إلى انبعاثات استخدام الأراضي (ELUC) من مشروع الكربون العالمي (GCP)، والتي تم تقديمها على أنها R + L في هذه الدراسة من قبل Le Quéré et al (2015)، و 2) تدفقات ثاني أكسيد الكربون الأرضية من نظامين لعكس الغلاف الجوي: Jena CarboScope s81_v3.8 و CAMS v15r2، المشار إليها باسم FJena و FCAMS على التوالي. إن مجموعة النماذج - تعني NBP (التي تتضمن سبعة نماذج مع تغيير استخدام الأراضي) أعلى من ولكن ضمن عدم اليقين من R + L، في حين أن اتجاه NBP الإيجابي المحاكي على مدار الثلاثين عامًا الماضية أقل من ذلك من R + L ومن نظامي الانعكاس. تلتقط نماذج المناطق الأحيائية ISIMIP2a بشكل جيد التباين السنوي لتدفقات الكربون الصافية للنظام الإيكولوجي الأرضي العالمي. يمثل الناتج القومي الاستوائي 31 ± 17 ٪ من إجمالي الناتج القومي العالمي خلال العقود الماضية، ويساهم التباين من سنة إلى أخرى في الناتج القومي الاستوائي في معظم التباين السنوي في الناتج القومي العالمي. وفقًا للنماذج، كانت زيادة صافي الإنتاجية الأولية هي السبب الرئيسي لزيادة صافي الإنتاجية الأولية بشكل عام. تتم محاكاة حالات الشذوذ العالمية الكبيرة من المتوسط طويل الأجل بين مرحلتي أحداث التذبذب الجنوبي لظاهرة النينيو (ENSO) من خلال جميع النماذج (P < 0.05)، وهو ما يتوافق مع تقدير R + L (P = 0.06)، والذي يعزى أيضًا بشكل أساسي إلى حالات الشذوذ في NPP، بدلاً من التغيرات في التنفس غيري التغذية (Rh). تهيمن الشذوذات العالمية لمحطات الطاقة النووية ومحطات الطاقة الوطنية خلال أحداث ENSO على شذوذاتها في المناطق المدارية المتأثرة بتقلب المناخ المداري. تكشف الانحدارات المتعددة بين الاختلافات السنوية بين R + L و FJENA و FCAMS والتغيرات المناخية المدارية عن استجابة سلبية كبيرة لصافي تدفقات الكربون في النظام الإيكولوجي الأرضي العالمي لمتوسط التغير السنوي في درجة الحرارة المدارية، واستجابة غير كبيرة لتغير هطول الأمطار السنوي المداري. وفقًا للنماذج، يعد هطول الأمطار الاستوائية محركًا أكثر أهمية، مما يشير إلى أن بعض النماذج لا تلتقط أدوار هطول الأمطار وتغيرات درجة الحرارة بشكل كافٍ.
Hyper Article en Lig... arrow_drop_down École Polytechnique, Université Paris-Saclay: HALArticle . 2017Full-Text: https://hal.science/hal-01828297Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2017Full-Text: https://hal.science/hal-01828297Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2017Full-Text: https://hal.science/hal-01828297Data sources: Bielefeld Academic Search Engine (BASE)Fachrepositorium LebenswissenschaftenArticle . 2017License: CC BYData sources: Fachrepositorium Lebenswissenschaftenhttp://dx.doi.org/https://iops...Other literature typeData sources: European Union Open Data Portaladd 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/aa63fa&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 34 citations 34 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Hyper Article en Lig... arrow_drop_down École Polytechnique, Université Paris-Saclay: HALArticle . 2017Full-Text: https://hal.science/hal-01828297Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2017Full-Text: https://hal.science/hal-01828297Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2017Full-Text: https://hal.science/hal-01828297Data sources: Bielefeld Academic Search Engine (BASE)Fachrepositorium LebenswissenschaftenArticle . 2017License: CC BYData sources: Fachrepositorium Lebenswissenschaftenhttp://dx.doi.org/https://iops...Other literature typeData sources: European Union Open Data Portaladd 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/aa63fa&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2021 France, Netherlands, United Kingdom, United States, AustriaPublisher:Wiley Funded by:ARC | Discovery Projects - Gran..., EC | REALM, ANR | OTMed +5 projectsARC| Discovery Projects - Grant ID: DP170103410 ,EC| REALM ,ANR| OTMed ,EC| GC2.0 ,EC| Plant-FATE ,EC| ECAW-ISO ,ANR| Amidex ,EC| IMBALANCE-PÅke Brännström; Åke Brännström; Iain Colin Prentice; Iain Colin Prentice; Iain Colin Prentice; Catherine Morfopoulos; Josep Peñuelas; Hugo J. de Boer; Jaideep Joshi; Oskar Franklin; Oskar Franklin; Aliénor Lavergne; Stefano Manzoni; Giulia Mengoli; Wolfgang Cramer; Trevor F. Keenan; Trevor F. Keenan; Han Wang; Nicholas G. Smith; Stephan A. Pietsch; Karin T. Rebel; Ian J. Wright; Ulf Dieckmann; Ulf Dieckmann; Youngryel Ryu; Benjamin D. Stocker; Sandy P. Harrison; Sandy P. Harrison;SummaryGlobal vegetation and land‐surface models embody interdisciplinary scientific understanding of the behaviour of plants and ecosystems, and are indispensable to project the impacts of environmental change on vegetation and the interactions between vegetation and climate. However, systematic errors and persistently large differences among carbon and water cycle projections by different models highlight the limitations of current process formulations. In this review, focusing on core plant functions in the terrestrial carbon and water cycles, we show how unifying hypotheses derived from eco‐evolutionary optimality (EEO) principles can provide novel, parameter‐sparse representations of plant and vegetation processes. We present case studies that demonstrate how EEO generates parsimonious representations of core, leaf‐level processes that are individually testable and supported by evidence. EEO approaches to photosynthesis and primary production, dark respiration and stomatal behaviour are ripe for implementation in global models. EEO approaches to other important traits, including the leaf economics spectrum and applications of EEO at the community level are active research areas. Independently tested modules emerging from EEO studies could profitably be integrated into modelling frameworks that account for the multiple time scales on which plants and plant communities adjust to environmental change.
University of Califo... arrow_drop_down University of California: eScholarshipArticle . 2021Full-Text: https://escholarship.org/uc/item/83z9r3c7Data sources: Bielefeld Academic Search Engine (BASE)Spiral - Imperial College Digital RepositoryArticle . 2021Data sources: Spiral - Imperial College Digital RepositoryNew PhytologistArticle . 2021 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefeScholarship - University of CaliforniaArticle . 2021Data sources: eScholarship - University of CaliforniaUniversity of Western Sydney (UWS): Research DirectArticle . 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=10.1111/nph.17558&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 109 citations 109 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert University of Califo... arrow_drop_down University of California: eScholarshipArticle . 2021Full-Text: https://escholarship.org/uc/item/83z9r3c7Data sources: Bielefeld Academic Search Engine (BASE)Spiral - Imperial College Digital RepositoryArticle . 2021Data sources: Spiral - Imperial College Digital RepositoryNew PhytologistArticle . 2021 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefeScholarship - University of CaliforniaArticle . 2021Data sources: eScholarship - University of CaliforniaUniversity of Western Sydney (UWS): Research DirectArticle . 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.
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description Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Journal 2019Embargo end date: 16 Mar 2019 Netherlands, France, United Kingdom, Germany, Switzerland, France, France, France, France, Japan, France, Netherlands, Netherlands, Canada, Spain, France, AustriaPublisher:Springer Science and Business Media LLC Funded by:EC | IMPACT2C, EC | HELIXEC| IMPACT2C ,EC| HELIXJeroen Steenbeek; Erwin Schmid; Tyler D. Eddy; Tyler D. Eddy; Tyler D. Eddy; Derek P. Tittensor; Derek P. Tittensor; Rene Orth; Rene Orth; Yadu Pokhrel; Joshua Elliott; Yusuke Satoh; Yusuke Satoh; Christian Folberth; Louis François; Andrew D. Friend; Catherine Morfopoulos; Nikolay Khabarov; Peter Lawrence; Naota Hanasaki; Michelle T. H. van Vliet; Akihiko Ito; Sonia I. Seneviratne; Veronika Huber; Thomas A. M. Pugh; Jinfeng Chang; Tobias Stacke; Philippe Ciais; Lila Warszawski; Jan Volkholz; Matthias Büchner; Yoshihide Wada; Christopher P. O. Reyer; Xuhui Wang; Xuhui Wang; Xuhui Wang; Dieter Gerten; Dieter Gerten; Sebastian Ostberg; Qiuhong Tang; Gen Sakurai; David A. Carozza; David A. Carozza; Christoph Müller; Jacob Schewe; Lutz Breuer; Delphine Deryng; Heike K. Lotze; Hannes Müller Schmied; Robert Vautard; Hyungjun Kim; Fang Zhao; Allard de Wit; Jörg Steinkamp; Katja Frieler; Simon N. Gosling; Lukas Gudmundsson; Marta Coll; Hanqin Tian;doi: 10.1038/s41467-019-08745-6 , 10.17863/cam.37807 , 10.60692/8dj48-81382 , 10.3929/ethz-b-000330244 , 10.60692/8mcvk-e7225
pmid: 30824763
pmc: PMC6397256
handle: 10261/181642
doi: 10.1038/s41467-019-08745-6 , 10.17863/cam.37807 , 10.60692/8dj48-81382 , 10.3929/ethz-b-000330244 , 10.60692/8mcvk-e7225
pmid: 30824763
pmc: PMC6397256
handle: 10261/181642
AbstractGlobal impact models represent process-level understanding of how natural and human systems may be affected by climate change. Their projections are used in integrated assessments of climate change. Here we test, for the first time, systematically across many important systems, how well such impact models capture the impacts of extreme climate conditions. Using the 2003 European heat wave and drought as a historical analogue for comparable events in the future, we find that a majority of models underestimate the extremeness of impacts in important sectors such as agriculture, terrestrial ecosystems, and heat-related human mortality, while impacts on water resources and hydropower are overestimated in some river basins; and the spread across models is often large. This has important implications for economic assessments of climate change impacts that rely on these models. It also means that societal risks from future extreme events may be greater than previously thought.
IIASA PURE arrow_drop_down Université Jean Monnet – Saint-Etienne: HALArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)École Polytechnique, Université Paris-Saclay: HALArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2019License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)Memorial University of Newfoundland: Research RepositoryArticle . 2019License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2019 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAWageningen Staff PublicationsArticle . 2019License: CC BYData sources: Wageningen Staff PublicationsHochschulschriftenserver - Universität Frankfurt am MainArticle . 2019Data sources: Hochschulschriftenserver - Universität Frankfurt am MainPublication Server of Goethe University Frankfurt am MainArticle . 2019License: 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=10.1038/s41467-019-08745-6&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 202 citations 202 popularity Top 0.1% influence Top 10% impulse Top 0.1% Powered by BIP!
more_vert IIASA PURE arrow_drop_down Université Jean Monnet – Saint-Etienne: HALArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)École Polytechnique, Université Paris-Saclay: HALArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2019License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)Memorial University of Newfoundland: Research RepositoryArticle . 2019License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2019 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAWageningen Staff PublicationsArticle . 2019License: CC BYData sources: Wageningen Staff PublicationsHochschulschriftenserver - Universität Frankfurt am MainArticle . 2019Data sources: Hochschulschriftenserver - Universität Frankfurt am MainPublication Server of Goethe University Frankfurt am MainArticle . 2019License: 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.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Journal 2017 France, France, France, France, France, France, Germany, FrancePublisher:IOP Publishing Funded by:EC | IMBALANCE-P, NSF | Collaborative Research: E..., EC | HELIXEC| IMBALANCE-P ,NSF| Collaborative Research: EaSM2--Wildfires and Regional Climate Variability - Mechanisms, Modeling, and Prediction ,EC| HELIXAuthors: Sibyll Schaphoff; Christopher P. O. Reyer; Frédéric Chevallier; Jörg Steinkamp; +29 AuthorsSibyll Schaphoff; Christopher P. O. Reyer; Frédéric Chevallier; Jörg Steinkamp; Jia Yang; Rashid Rafique; Ghassem R. Asrar; Ning Zeng; Kazuya Nishina; Akihiko Ito; Shushi Peng; Fang Zhao; Shufen Pan; Sebastian Ostberg; Sebastian Ostberg; Jinfeng Chang; Jinfeng Chang; Louis François; Shilong Piao; Katja Frieler; Guy Munhoven; Marie Dury; Thomas Hickler; Philippe Ciais; Xuhui Wang; Xuhui Wang; Alexandra-Jane Henrot; Hanqin Tian; Christrian Rödenbeck; Anselmo Garcia Cantu Ros; Richard Betts; Nicolas Viovy; Catherine Morfopoulos;Le but de cette étude est d'évaluer les huit modèles de biome ISIMIP2a par rapport à des estimations indépendantes des flux nets de carbone à long terme (c'est-à-dire la productivité nette du biome, NBP) sur les écosystèmes terrestres au cours des quatre dernières décennies (1971–2010). Nous évaluons le NBP mondial modélisé par rapport à 1) le puits terrestre résiduel mondial (RLS) mis à jour plus les émissions liées à l'utilisation des terres (ELUC) du Global Carbon Project (GCP), présenté comme R + L dans cette étude par Le Quéré et al (2015), et 2) les flux de CO2 terrestre provenant de deux systèmes d'inversion atmosphérique : Jena CarboScope s81_v3.8 et CAMS v15r2, appelés FJena et FCAMS respectivement. L'ensemble de modèles - moyenne NBP (qui comprend sept modèles avec changement d'affectation des terres) est plus élevé que mais dans l'incertitude de R + L, tandis que la tendance NBP positive simulée au cours des 30 dernières années est inférieure à celle de R + L et des deux systèmes d'inversion. Les modèles de biome ISIMIP2a capturent bien la variation interannuelle des flux nets mondiaux de carbone des écosystèmes terrestres. La NBP tropicale représente 31 ± 17 % de la NBP totale mondiale au cours des dernières décennies, et la variation d'une année à l'autre de la NBP tropicale contribue pour l'essentiel à la variation interannuelle de la NBP mondiale. Selon les modèles, l'augmentation de la productivité primaire nette (NPP) a été la principale cause de l'augmentation générale de la NBP. Des anomalies NBP globales significatives à partir de la moyenne à long terme entre les deux phases des événements El Niño Southern Oscillation (ENSO) sont simulées par tous les modèles (p < 0,05), ce qui est cohérent avec l'estimation R + L (p = 0,06), également principalement attribuée à des anomalies NPP, plutôt qu'à des changements dans la respiration hétérotrophique (Rh). Les anomalies mondiales de la centrale nucléaire et de la centrale nucléaire nucléaire pendant les événements ENSO sont dominées par leurs anomalies dans les régions tropicales touchées par la variabilité du climat tropical. Les régressions multiples entre les variations interannuelles de R + L, FJena et FCAMS et les variations du climat tropical révèlent une réponse négative significative des flux nets mondiaux de carbone des écosystèmes terrestres à la variation de la température annuelle moyenne tropicale, et une réponse non significative à la variation des précipitations annuelles tropicales. Selon les modèles, les précipitations tropicales sont un facteur plus important, ce qui suggère que certains modèles ne saisissent pas correctement les rôles des précipitations et des changements de température. El propósito de este estudio es evaluar los ocho modelos de bioma ISIMIP2a contra estimaciones independientes de flujos netos de carbono a largo plazo (es decir, Productividad Neta del Bioma, NBP) sobre ecosistemas terrestres durante las últimas cuatro décadas (1971–2010). Evaluamos el NBP global modelado contra 1) el sumidero de tierra residual (RLS) global actualizado más las emisiones de uso de la tierra (ELUC) del Proyecto Global de Carbono (GCP), presentado como R + L en este estudio por Le Quéré et al (2015), y 2) los flujos de CO2 terrestre de dos sistemas de inversión atmosférica: Jena CarboScope s81_v3.8 y CAMS v15r2, denominados FJena y FCAMS respectivamente. La media del conjunto de modelos NBP (que incluye siete modelos con cambio de uso de la tierra) es mayor que, pero dentro de la incertidumbre de R + L, mientras que la tendencia positiva simulada de NBP en los últimos 30 años es menor que la de R + L y de los dos sistemas de inversión. Los modelos de bioma ISIMIP2a capturan bien la variación interanual de los flujos netos globales de carbono del ecosistema terrestre. El NBP tropical representa el 31 ± 17% del NBP total global durante las últimas décadas, y la variación interanual del NBP tropical contribuye con la mayor parte de la variación interanual del NBP global. Según los modelos, el aumento de la productividad primaria neta (PPN) fue la causa principal del aumento general de la PNB. Todos los modelos simulan anomalías de NBP globales significativas de la media a largo plazo entre las dos fases de los eventos de El Niño Oscilación del Sur (Enos) (p < 0.05), lo cual es consistente con la estimación de R + L (p = 0.06), también atribuida principalmente a anomalías de NPP, más que a cambios en la respiración heterótrofa (Rh). Las anomalías globales de NPP y NBP durante los eventos Enos están dominadas por sus anomalías en las regiones tropicales afectadas por la variabilidad del clima tropical. Las múltiples regresiones entre las variaciones interanuales de R + L, FJena y FCAMS y las variaciones del clima tropical revelan una respuesta negativa significativa de los flujos netos globales de carbono del ecosistema terrestre a la variación de la temperatura media anual tropical, y una respuesta no significativa a la variación de la precipitación anual tropical. Según los modelos, la precipitación tropical es un impulsor más importante, lo que sugiere que algunos modelos no capturan adecuadamente los roles de la precipitación y los cambios de temperatura. The purpose of this study is to evaluate the eight ISIMIP2a biome models against independent estimates of long-term net carbon fluxes (i.e. Net Biome Productivity, NBP) over terrestrial ecosystems for the recent four decades (1971–2010). We evaluate modeled global NBP against 1) the updated global residual land sink (RLS) plus land use emissions (ELUC) from the Global Carbon Project (GCP), presented as R + L in this study by Le Quéré et al (2015), and 2) the land CO2 fluxes from two atmospheric inversion systems: Jena CarboScope s81_v3.8 and CAMS v15r2, referred to as FJena and FCAMS respectively. The model ensemble-mean NBP (that includes seven models with land-use change) is higher than but within the uncertainty of R + L, while the simulated positive NBP trend over the last 30 yr is lower than that from R + L and from the two inversion systems. ISIMIP2a biome models well capture the interannual variation of global net terrestrial ecosystem carbon fluxes. Tropical NBP represents 31 ± 17% of global total NBP during the past decades, and the year-to-year variation of tropical NBP contributes most of the interannual variation of global NBP. According to the models, increasing Net Primary Productivity (NPP) was the main cause for the generally increasing NBP. Significant global NBP anomalies from the long-term mean between the two phases of El Niño Southern Oscillation (ENSO) events are simulated by all models (p < 0.05), which is consistent with the R + L estimate (p = 0.06), also mainly attributed to NPP anomalies, rather than to changes in heterotrophic respiration (Rh). The global NPP and NBP anomalies during ENSO events are dominated by their anomalies in tropical regions impacted by tropical climate variability. Multiple regressions between R + L, FJena and FCAMS interannual variations and tropical climate variations reveal a significant negative response of global net terrestrial ecosystem carbon fluxes to tropical mean annual temperature variation, and a non-significant response to tropical annual precipitation variation. According to the models, tropical precipitation is a more important driver, suggesting that some models do not capture the roles of precipitation and temperature changes adequately. الغرض من هذه الدراسة هو تقييم نماذج المناطق الأحيائية الثمانية ISIMIP2a مقابل التقديرات المستقلة لصافي تدفقات الكربون طويلة الأجل (أي صافي إنتاجية المناطق الأحيائية) على النظم الإيكولوجية الأرضية على مدى العقود الأربعة الأخيرة (1971–2010). نقوم بتقييم خطة العمل الوطنية العالمية المنمذجة مقابل 1) بالوعة الأراضي المتبقية العالمية المحدثة بالإضافة إلى انبعاثات استخدام الأراضي (ELUC) من مشروع الكربون العالمي (GCP)، والتي تم تقديمها على أنها R + L في هذه الدراسة من قبل Le Quéré et al (2015)، و 2) تدفقات ثاني أكسيد الكربون الأرضية من نظامين لعكس الغلاف الجوي: Jena CarboScope s81_v3.8 و CAMS v15r2، المشار إليها باسم FJena و FCAMS على التوالي. إن مجموعة النماذج - تعني NBP (التي تتضمن سبعة نماذج مع تغيير استخدام الأراضي) أعلى من ولكن ضمن عدم اليقين من R + L، في حين أن اتجاه NBP الإيجابي المحاكي على مدار الثلاثين عامًا الماضية أقل من ذلك من R + L ومن نظامي الانعكاس. تلتقط نماذج المناطق الأحيائية ISIMIP2a بشكل جيد التباين السنوي لتدفقات الكربون الصافية للنظام الإيكولوجي الأرضي العالمي. يمثل الناتج القومي الاستوائي 31 ± 17 ٪ من إجمالي الناتج القومي العالمي خلال العقود الماضية، ويساهم التباين من سنة إلى أخرى في الناتج القومي الاستوائي في معظم التباين السنوي في الناتج القومي العالمي. وفقًا للنماذج، كانت زيادة صافي الإنتاجية الأولية هي السبب الرئيسي لزيادة صافي الإنتاجية الأولية بشكل عام. تتم محاكاة حالات الشذوذ العالمية الكبيرة من المتوسط طويل الأجل بين مرحلتي أحداث التذبذب الجنوبي لظاهرة النينيو (ENSO) من خلال جميع النماذج (P < 0.05)، وهو ما يتوافق مع تقدير R + L (P = 0.06)، والذي يعزى أيضًا بشكل أساسي إلى حالات الشذوذ في NPP، بدلاً من التغيرات في التنفس غيري التغذية (Rh). تهيمن الشذوذات العالمية لمحطات الطاقة النووية ومحطات الطاقة الوطنية خلال أحداث ENSO على شذوذاتها في المناطق المدارية المتأثرة بتقلب المناخ المداري. تكشف الانحدارات المتعددة بين الاختلافات السنوية بين R + L و FJENA و FCAMS والتغيرات المناخية المدارية عن استجابة سلبية كبيرة لصافي تدفقات الكربون في النظام الإيكولوجي الأرضي العالمي لمتوسط التغير السنوي في درجة الحرارة المدارية، واستجابة غير كبيرة لتغير هطول الأمطار السنوي المداري. وفقًا للنماذج، يعد هطول الأمطار الاستوائية محركًا أكثر أهمية، مما يشير إلى أن بعض النماذج لا تلتقط أدوار هطول الأمطار وتغيرات درجة الحرارة بشكل كافٍ.
Hyper Article en Lig... arrow_drop_down École Polytechnique, Université Paris-Saclay: HALArticle . 2017Full-Text: https://hal.science/hal-01828297Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2017Full-Text: https://hal.science/hal-01828297Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2017Full-Text: https://hal.science/hal-01828297Data sources: Bielefeld Academic Search Engine (BASE)Fachrepositorium LebenswissenschaftenArticle . 2017License: CC BYData sources: Fachrepositorium Lebenswissenschaftenhttp://dx.doi.org/https://iops...Other literature typeData sources: European Union Open Data Portaladd 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/aa63fa&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 34 citations 34 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Hyper Article en Lig... arrow_drop_down École Polytechnique, Université Paris-Saclay: HALArticle . 2017Full-Text: https://hal.science/hal-01828297Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2017Full-Text: https://hal.science/hal-01828297Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2017Full-Text: https://hal.science/hal-01828297Data sources: Bielefeld Academic Search Engine (BASE)Fachrepositorium LebenswissenschaftenArticle . 2017License: CC BYData sources: Fachrepositorium Lebenswissenschaftenhttp://dx.doi.org/https://iops...Other literature typeData sources: European Union Open Data Portaladd 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/aa63fa&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2021 France, Netherlands, United Kingdom, United States, AustriaPublisher:Wiley Funded by:ARC | Discovery Projects - Gran..., EC | REALM, ANR | OTMed +5 projectsARC| Discovery Projects - Grant ID: DP170103410 ,EC| REALM ,ANR| OTMed ,EC| GC2.0 ,EC| Plant-FATE ,EC| ECAW-ISO ,ANR| Amidex ,EC| IMBALANCE-PÅke Brännström; Åke Brännström; Iain Colin Prentice; Iain Colin Prentice; Iain Colin Prentice; Catherine Morfopoulos; Josep Peñuelas; Hugo J. de Boer; Jaideep Joshi; Oskar Franklin; Oskar Franklin; Aliénor Lavergne; Stefano Manzoni; Giulia Mengoli; Wolfgang Cramer; Trevor F. Keenan; Trevor F. Keenan; Han Wang; Nicholas G. Smith; Stephan A. Pietsch; Karin T. Rebel; Ian J. Wright; Ulf Dieckmann; Ulf Dieckmann; Youngryel Ryu; Benjamin D. Stocker; Sandy P. Harrison; Sandy P. Harrison;SummaryGlobal vegetation and land‐surface models embody interdisciplinary scientific understanding of the behaviour of plants and ecosystems, and are indispensable to project the impacts of environmental change on vegetation and the interactions between vegetation and climate. However, systematic errors and persistently large differences among carbon and water cycle projections by different models highlight the limitations of current process formulations. In this review, focusing on core plant functions in the terrestrial carbon and water cycles, we show how unifying hypotheses derived from eco‐evolutionary optimality (EEO) principles can provide novel, parameter‐sparse representations of plant and vegetation processes. We present case studies that demonstrate how EEO generates parsimonious representations of core, leaf‐level processes that are individually testable and supported by evidence. EEO approaches to photosynthesis and primary production, dark respiration and stomatal behaviour are ripe for implementation in global models. EEO approaches to other important traits, including the leaf economics spectrum and applications of EEO at the community level are active research areas. Independently tested modules emerging from EEO studies could profitably be integrated into modelling frameworks that account for the multiple time scales on which plants and plant communities adjust to environmental change.
University of Califo... arrow_drop_down University of California: eScholarshipArticle . 2021Full-Text: https://escholarship.org/uc/item/83z9r3c7Data sources: Bielefeld Academic Search Engine (BASE)Spiral - Imperial College Digital RepositoryArticle . 2021Data sources: Spiral - Imperial College Digital RepositoryNew PhytologistArticle . 2021 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefeScholarship - University of CaliforniaArticle . 2021Data sources: eScholarship - University of CaliforniaUniversity of Western Sydney (UWS): Research DirectArticle . 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=10.1111/nph.17558&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 109 citations 109 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert University of Califo... arrow_drop_down University of California: eScholarshipArticle . 2021Full-Text: https://escholarship.org/uc/item/83z9r3c7Data sources: Bielefeld Academic Search Engine (BASE)Spiral - Imperial College Digital RepositoryArticle . 2021Data sources: Spiral - Imperial College Digital RepositoryNew PhytologistArticle . 2021 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefeScholarship - University of CaliforniaArticle . 2021Data sources: eScholarship - University of CaliforniaUniversity of Western Sydney (UWS): Research DirectArticle . 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.
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