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description Publicationkeyboard_double_arrow_right Article , Journal 2014 ItalyPublisher:Oxford University Press (OUP) Publicly fundedFunded by:NSF | Development of a Data Ass..., NSF | LTREB: Effects of Warming..., NSF | Data-Model Fusion at Amer... +4 projectsNSF| Development of a Data Assimilation Capability Towards Ecological Forecasting in a Data-Rich Era ,NSF| LTREB: Effects of Warming and Clipping on Coupling of Carbon and Water Cycles in a Tallgrass Prairie ,NSF| Data-Model Fusion at AmeriFlux Sites: Towards Predictive Understanding of Seasonal and Interannual Variability in Net Ecosystem Exchange ,NSF| Collaborative Research: EPSCoR RII Track 2 Oklahoma and Kansas: A cyberCommons for Ecological Forecasting ,EC| GHG EUROPE ,NSF| RCN: Forecasts Of Resource and Environmental Changes: data Assimilation Science and Technology (FORECAST) ,NSERCSong Bing; Niu Shuli; Luo Ruisen; Luo Yiqi; Chen Jiquan; Yu Guirui; Olejnik Janusz; Wohlfahrt Georg; Kiely Gerard; Noormets Asko; Montagnani Leonardo; Cescatti Alessandro; Magliulo Vincenzo; Law Beverly Elizabeth; Lund Magnus; Varlagin Andrej; Raschi Antonio; Peichl Matthias; Nilsson Mats B; Merbold Lutz;doi: 10.1093/jpe/rtu014
handle: 20.500.14243/262075
Aims Recent studies revealed convergent temperature sensitivity of ecosystem respiration (Re) within aquatic ecosystems and between terrestrial and aquatic ecosystems. We do not know yet whether various terrestrial ecosystems have consistent or divergent temperature sensitivity. Here, we synthesized 163 eddy covariance flux sites across the world and examined the global variation of the apparent activation energy (Ea), which characterizes the apparent temperature sensitivity of and its interannual variability (IAV) as well as their controlling factors. Methods We used carbon fluxes and meteorological data across FLUXNET sites to calculate mean annual temperature, temperature range, precipitation, global radiation, potential radiation, gross primary productivity and Re by averaging the daily values over the years in each site. Furthermore, we analyzed the sites with >8 years data to examine the IAV of Ea and calculated the standard deviation of Ea across years at each site to characterize IAV. Important Findings The results showed a widely global variation of Ea, with significantly lower values in the tropical and subtropical areas than in temperate and boreal areas, and significantly higher values in grasslands and wetlands than that in deciduous broadleaf forests and evergreen forests. Globally, spatial variations of Ea were explained by changes in temperature and an index of water availability with differing contribution of each explaining variable among climate zones and biomes. IAV and the corresponding coefficient of variation of Ea decreased with increasing latitude, but increased with radiation and corresponding mean annual temperature. The revealed patterns in the spatial and temporal variations of Ea and its controlling factors indicate divergent temperature sensitivity of R-e, which could help to improve our predictive understanding of R-e in response to climate change.
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You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/jpe/rtu014&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesbronze 20 citations 20 popularity Top 10% influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 1995 ItalyPublisher:Edagricole, Bologna , Italia Authors: Magliulo V.; Giorio P.; Pitacco A.;handle: 20.500.14243/69710 , 11577/2489281
Su una coltura di soia, sono stati misurati i flussi dievapotraspirazione e di fotosintesi apparente mediante la tecnicamicrometereologica del rapporto di Bowen, integrata con lamisurazione dei gradienti della concentrazione di CO2. La coltura,che ha sviluppato una densa vegetazione (LAI massimo = 6.7), hadissipato sotto forma di calore latente la maggior partedell'energia disponibile. A tre mesi dalla semina, il valore mediodiurno del rapporto di Bowen risultato ancora relativamentebasso, e pari a 0.23. I valori di fotosintesi apparente sonorisultati minori di quelli riportati, per la stessa specie, daaltri Autori. Gli andamenti giornalieri dei flussi assimilativisono stati caratterizzati da fenomeni di isteresi, probabilmenteper effetto della maggiore attivit respiratoria nelle orepomeridiane. Il fenomeno si accentuato nel corso della stagionecolturale con l' intensificarsi dei processi di traslocazione degliassimilati above a soybean canopy, evapotranspiration and apparent canopy photosynthesis were monitored by the micrometeorologicaltechnique of the Bowen ratio energy balance (BREB), integrated withthe measurement of the CO2 concentration gradient. The dense canopy(maximum LAI = 6.7) managed to dissipate most of the availableenergy under the form of latent heat and even three months aftersowing, mean daytime Bowen ratio averaged 0.23. Apparent canopy photosynthesis rates were lower than reported elsewhere for soybean; daily trends showed typical hysteretic loops likely due tothe higher afternoon respiration rates. The loops were increasinglymore pronounced as the sink size increased along the season.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=11577/2489281&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Part of book or chapter of book , Article 2014 Netherlands, Italy, NetherlandsPublisher:Springer Berlin Heidelberg Papale D; Migliavacca M; Cremonese E; Cescatti A; Alberti G; Balzarolo M; Belelli Marchesini L; Canfora E; Casa R; Duce P; Facini O; Galvagno M; Genesio L; Gianelle D; Magliulo V; Matteucci G; Montagnani L; Petrella F; Pitacco A; Seufert G; Spano D; Stefani P; Vaccari FP; Valentini R;In this chapter the Eddy Covariance network of Italy is presented, with a short introduction to each of the 29 sites that were active during the CarboItaly project. These sites provided a unique dataset for a better study and understanding of the carbon cycle of terrestrial ecosystems and the links between carbon sink capacity and the main environmental factors. After a number of examples of Eddy Covariance time series where it is possible to see the effect of interannual climate variability and disturbances and managements practices, an analysis of the role of the Carbon Uptake Period in the total Net Ecosystem Exchange (NEE) definition and a study of the effect of temperature and precipitation on the interannual variability of NEE are presented in order to show the way these data can contribute to a better understanding of the role and response of ecosystems to climate change.
Fondazione Edmund Ma... arrow_drop_down Fondazione Edmund Mach: IRIS-OpenPubPart of book or chapter of book . 2015Full-Text: http://hdl.handle.net/10449/25172Data sources: Bielefeld Academic Search Engine (BASE)Archivio istituzionale della ricerca - Fondazione Edmund MachPart of book or chapter of book . 2015Archivio istituzionale della ricerca - Università degli Studi di UdinePart of book or chapter of book . 2014DANS (Data Archiving and Networked Services)Part of book or chapter of book . 2015Data sources: DANS (Data Archiving and Networked Services)https://doi.org/10.1007/978-3-...Part of book or chapter of book . 2014 . Peer-reviewedLicense: Springer TDMData sources: CrossrefVrije Universiteit Amsterdam (VU Amsterdam) – Research PortalPart of book or chapter of book . 2015add 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=10.1007/978-3-642-32424-6_2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 11 citations 11 popularity Top 10% influence Average impulse Average Powered by BIP!
more_vert Fondazione Edmund Ma... arrow_drop_down Fondazione Edmund Mach: IRIS-OpenPubPart of book or chapter of book . 2015Full-Text: http://hdl.handle.net/10449/25172Data sources: Bielefeld Academic Search Engine (BASE)Archivio istituzionale della ricerca - Fondazione Edmund MachPart of book or chapter of book . 2015Archivio istituzionale della ricerca - Università degli Studi di UdinePart of book or chapter of book . 2014DANS (Data Archiving and Networked Services)Part of book or chapter of book . 2015Data sources: DANS (Data Archiving and Networked Services)https://doi.org/10.1007/978-3-...Part of book or chapter of book . 2014 . Peer-reviewedLicense: Springer TDMData sources: CrossrefVrije Universiteit Amsterdam (VU Amsterdam) – Research PortalPart of book or chapter of book . 2015add 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=10.1007/978-3-642-32424-6_2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2017 ItalyPublisher:Copernicus GmbH Funded by:NSERC, EC | ICOSNSERC ,EC| ICOSYang Zhou; Yang Zhou; Feng Tao; Georg Wohlfahrt; Renduo Zhang; Juan Zhu; Alessandro Cescatti; Vincenzo Magliulo; Zhiyuan Zhang; Minmin Sun; Guanhong Chen;handle: 20.500.14243/327527
Abstract. Terrestrial ecosystem respiration (Re) is the major source of CO2 release and constitutes the second largest carbon flux between the biosphere and atmosphere. Therefore, climate-driven changes of Re may greatly impact on future atmospheric CO2 concentration. The aim of this study was to derive an air temperature threshold for identifying the driving climate forces of the respiratory process in terrestrial ecosystems within different temperature zones. For this purpose, a global dataset of 647 site-years of ecosystem flux data collected at 152 sites has been examined. Our analysis revealed an ecosystem threshold of mean annual air temperature (MAT) of 11 &pm; 2.3 °C. In ecosystems with the MAT below this threshold, the maximum Re rates were primarily dependent on temperature and respiration was mainly a temperature-driven process. On the contrary, in ecosystems with the MAT greater than 11 ± 2.3 °C, in addition to temperature, other driving forces, such as water availability and surface heat flux, became significant drivers of the maximum Re rates and respiration was a multi-factor-driven process. The information derived from this study highlight the key role of temperature as main controlling factor of the maximum Re rates on a large fraction of the terrestrial biosphere, while other driving forces reduce the maximum Re rates and temperature sensitivity of the respiratory process. These findings are particularly relevant under the current scenario of rapid global warming, given that the potential climate-induced changes in ecosystem respiration may lead to substantial anomalies in the seasonality and magnitude of the terrestrial carbon budget.
IRIS Cnr arrow_drop_down https://doi.org/10.5194/bg-201...Article . 2017 . Peer-reviewedLicense: CC BYData 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=10.5194/bg-2017-345&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert IRIS Cnr arrow_drop_down https://doi.org/10.5194/bg-201...Article . 2017 . Peer-reviewedLicense: CC BYData 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=10.5194/bg-2017-345&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Research , Journal 2017Embargo end date: 01 Jan 2018 France, Norway, Italy, Germany, Switzerland, Ireland, Germany, FrancePublisher:Copernicus GmbH Publicly fundedFunded by:NSERC, EC | BACI, EC | ICOSNSERC ,EC| BACI ,EC| ICOSJ. von Buttlar; J. von Buttlar; J. Zscheischler; J. Zscheischler; A. Rammig; S. Sippel; S. Sippel; M. Reichstein; M. Reichstein; A. Knohl; M. Jung; O. Menzer; M. A. Arain; N. Buchmann; A. Cescatti; D. Gianelle; G. Kiely; B. E. Law; V. Magliulo; H. Margolis; H. McCaughey; L. Merbold; L. Merbold; M. Migliavacca; L. Montagnani; W. Oechel; W. Oechel; M. Pavelka; M. Peichl; S. Rambal; A. Raschi; R. L. Scott; F. P. Vaccari; E. van Gorsel; A. Varlagin; G. Wohlfahrt; M. D. Mahecha; M. D. Mahecha;Abstract. Extreme climatic events, such as droughts and heat stress induce anomalies in ecosystem-atmosphere CO2 fluxes, such as gross primary production (GPP) and ecosystem respiration (Reco), and, hence, can change the net ecosystem carbon balance. However, despite our increasing understanding of the underlying mechanisms, the magnitudes of the impacts of different types of extremes on GPP and Reco within and between ecosystems remain poorly predicted. Here we aim to identify the major factors controlling the amplitude of extreme event impacts on GPP, Reco, and the resulting net ecosystem production (NEP). We focus on the impacts of heat and drought and their combination. We identified hydrometeorological extreme events in consistently downscaled water availability and temperature measurements over a 30 year time period. We then used FLUXNET eddy-covariance flux measurements to estimate the CO2 flux anomalies during these extreme events across dominant vegetation types and climate zones. Overall, our results indicate that short-term heat extremes increased respiration more strongly than they down-regulated GPP, resulting in a moderate reduction of the ecosystem’s carbon sink potential. In the absence of heat stress, droughts tended to have smaller and similarly dampening effects on both GPP and Reco, and, hence, often resulted in neutral NEP responses. The combination of drought and heat typically led to a strong decrease in GPP, whereas heat and drought impacts on respiration partially offset each other. Taken together, compound heat and drought events led to the strongest C sink reduction compared to any single-factor extreme. A key insight of this paper, however, is that duration matters most: for heat stress during droughts, the magnitude of impacts systematically increased with duration, whereas under heat stress without drought, the response of Reco over time turned from an initial increase to a down-regulation after about two weeks. This confirms earlier theories that not only the magnitude but also the duration of an extreme event determines its impact. Our study corroborates the results of several local site-level case studies, but as a novelty generalizes these findings at the global scale. Specifically, we find that the different response functions of the two antipodal land-atmosphere fluxes GPP and Reco can also result in increasing NEP during certain extreme conditions. Apparently counterintuitive findings of this kind bear great potential for scrutinizing the mechanisms implemented in state-of-the-art terrestrial biosphere models and provide a benchmark for future model development and testing.
IRIS Cnr arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2018License: CC BYFull-Text: https://hdl.handle.net/10568/92063Data sources: Bielefeld Academic Search Engine (BASE)Fondazione Edmund Mach: IRIS-OpenPubArticle . 2018Full-Text: http://hdl.handle.net/10449/46682Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/bg-201...Article . 2017 . Peer-reviewedLicense: CC BYData sources: CrossrefPublikationenserver der Georg-August-Universität GöttingenArticle . 2019Göttingen Research Online PublicationsArticle . 2019Data sources: Göttingen Research Online PublicationsCork Open Research Archive (CORA)Article . 2018License: CC BYFull-Text: https://www.biogeosciences.net/15/1293/2018/Data sources: Cork Open Research Archive (CORA)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=10.5194/bg-2017-393&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 173 citations 173 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert IRIS Cnr arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2018License: CC BYFull-Text: https://hdl.handle.net/10568/92063Data sources: Bielefeld Academic Search Engine (BASE)Fondazione Edmund Mach: IRIS-OpenPubArticle . 2018Full-Text: http://hdl.handle.net/10449/46682Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/bg-201...Article . 2017 . Peer-reviewedLicense: CC BYData sources: CrossrefPublikationenserver der Georg-August-Universität GöttingenArticle . 2019Göttingen Research Online PublicationsArticle . 2019Data sources: Göttingen Research Online PublicationsCork Open Research Archive (CORA)Article . 2018License: CC BYFull-Text: https://www.biogeosciences.net/15/1293/2018/Data sources: Cork Open Research Archive (CORA)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=10.5194/bg-2017-393&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2020Embargo end date: 26 Oct 2020 Germany, Germany, Sweden, Netherlands, China (People's Republic of), France, Switzerland, China (People's Republic of), China (People's Republic of), Italy, Germany, Germany, Italy, Belgium, Netherlands, Italy, Denmark, Germany, ItalyPublisher:The Royal Society Publicly fundedFunded by:EC | ERA-GAS, EC | SUMFOREST, DFG +9 projectsEC| ERA-GAS ,EC| SUMFOREST ,DFG ,SNSF| ICOS-CH Phase 2 ,DFG| Agricultural Landscapes under Global Climate Change - Processes and Feedbacks on a Regional Scale - ,SNSF| Reconciling innovative farming practices and networks to enable sustainable development of smart Swiss farming systems ,ANR| ARBRE ,EC| ICOS ,AKA| Centre of Excellence in Atmospheric Science From Molecular and Biolocigal processes to The Global Climate ,EC| SUPER-G ,ANR| ForRISK ,SNSF| Systemanalyse der RaumkonstanzChristian Brümmer; Janina Klatt; Mats Nilsson; Jan Konopka; Christian Wille; Alexander Graf; Nadia Vendrame; Matthias Cuntz; Harry Vereecken; Gerald Jurasinski; Heye Bogena; Nina Buchmann; Marilyn Roland; Natalia Kowalska; Bert Gielen; Anne Klosterhalfen; Anne Klosterhalfen; Arne Poyda; Arne Poyda; Mirco Migliavacca; Matthias Peichl; Christophe Chipeaux; Andrej Varlagin; Günther Heinemann; Corinna Rebmann; Caroline Vincke; Franziska Koebsch; Sébastien Lafont; Ladislav Šigut; Bart Kruijt; Jan Holst; Jinshu Chi; Mika Korkiakoski; Silvano Fares; Bernard Heinesch; Alexander Knohl; Pia Gottschalk; Marius Schmidt; Thomas Grünwald; Matthias Zeeman; Shiva Ghiasi; Frédéric Bornet; Frederik Schrader; Lenka Foltýnová; Hans-Dieter Wizemann; Bernard Longdoz; Pascal Kremer; Andreas Ibrom; Vincenzo Magliulo; Edoardo Cremonese; Giovanni Manca; Michal Heliasz; Milan Fischer; Christian Bernhofer; Nicola Arriga; Joachim Ingwersen; Andrea Pitacco; Johan Neirynck; Denis Loustau; Anne De Ligne; Jiří Dušek; Joël Léonard; Ivan Mammarella; Patrizia Ney; Eugénie Paul-Limoges; Matthias Mauder; Stephan Weber; Tarek S. El-Madany; Torsten Sachs; Nicolas Brüggemann; Lukas Hörtnagl; Mana Gharun; Ingo Völksch; Meelis Mölder; Eeva-Stiina Tuittila; Lukas Siebicke;pmid: 32892732
pmc: PMC7485107
handle: 20.500.14243/394097 , 10067/1719180151162165141 , 11572/278174
pmid: 32892732
pmc: PMC7485107
handle: 20.500.14243/394097 , 10067/1719180151162165141 , 11572/278174
Drought and heat events, such as the 2018 European drought, interact with the exchange of energy between the land surface and the atmosphere, potentially affecting albedo, sensible and latent heat fluxes, as well as CO 2 exchange. Each of these quantities may aggravate or mitigate the drought, heat, their side effects on productivity, water scarcity and global warming. We used measurements of 56 eddy covariance sites across Europe to examine the response of fluxes to extreme drought prevailing most of the year 2018 and how the response differed across various ecosystem types (forests, grasslands, croplands and peatlands). Each component of the surface radiation and energy balance observed in 2018 was compared to available data per site during a reference period 2004–2017. Based on anomalies in precipitation and reference evapotranspiration, we classified 46 sites as drought affected. These received on average 9% more solar radiation and released 32% more sensible heat to the atmosphere compared to the mean of the reference period. In general, drought decreased net CO 2 uptake by 17.8%, but did not significantly change net evapotranspiration. The response of these fluxes differed characteristically between ecosystems; in particular, the general increase in the evaporative index was strongest in peatlands and weakest in croplands. This article is part of the theme issue ‘Impacts of the 2018 severe drought and heatwave in Europe: from site to continental scale’.
SLU publication data... arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2020Data sources: Bielefeld Academic Search Engine (BASE)Philosophical Transactions of the Royal Society B Biological SciencesArticleData sources: UnpayWallPhilosophical Transactions of the Royal Society B Biological SciencesArticle . 2020Data sources: DANS (Data Archiving and Networked Services)Online Research Database In TechnologyArticle . 2020Data sources: Online Research Database In TechnologyPublikationenserver der Georg-August-Universität GöttingenArticle . 2021GFZ German Research Centre for GeosciencesArticle . 2020Data sources: GFZ German Research Centre for GeosciencesPhilosophical Transactions of the Royal Society B Biological SciencesArticle . 2020 . Peer-reviewedData sources: CrossrefInstitutional Repository Universiteit AntwerpenArticle . 2020Data sources: Institutional Repository Universiteit AntwerpenPhilosophical Transactions of the Royal Society B Biological SciencesArticle . 2021Data sources: Europe PubMed CentralPhilosophical Transactions of the Royal Society B Biological SciencesArticle . 2020 . Peer-reviewedData sources: European Union Open Data PortalInstitut National de la Recherche Agronomique: ProdINRAArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)GFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam)Article . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1098/rstb.2019.0524&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 44 citations 44 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert SLU publication data... arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2020Data sources: Bielefeld Academic Search Engine (BASE)Philosophical Transactions of the Royal Society B Biological SciencesArticleData sources: UnpayWallPhilosophical Transactions of the Royal Society B Biological SciencesArticle . 2020Data sources: DANS (Data Archiving and Networked Services)Online Research Database In TechnologyArticle . 2020Data sources: Online Research Database In TechnologyPublikationenserver der Georg-August-Universität GöttingenArticle . 2021GFZ German Research Centre for GeosciencesArticle . 2020Data sources: GFZ German Research Centre for GeosciencesPhilosophical Transactions of the Royal Society B Biological SciencesArticle . 2020 . Peer-reviewedData sources: CrossrefInstitutional Repository Universiteit AntwerpenArticle . 2020Data sources: Institutional Repository Universiteit AntwerpenPhilosophical Transactions of the Royal Society B Biological SciencesArticle . 2021Data sources: Europe PubMed CentralPhilosophical Transactions of the Royal Society B Biological SciencesArticle . 2020 . Peer-reviewedData sources: European Union Open Data PortalInstitut National de la Recherche Agronomique: ProdINRAArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)GFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam)Article . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1098/rstb.2019.0524&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 ItalyPublisher:Springer Science and Business Media LLC Authors: Zenone T; Vitale L; Famulari D; Magliulo V;handle: 20.500.14243/416230
AbstractBackgroundThe evaporative fraction (EF) represents an important biophysical parameter reflecting the distribution of surface available energy. In this study, we investigated the daily and seasonal patterns of EF in a multi-year corn cultivation located in southern Italy and evaluated the performance of five machine learning (ML) classes of algorithms: the linear regression (LR), regression tree (RT), support vector machine (SVM), ensembles of tree (ETs) and Gaussian process regression (GPR) to predict the EF at daily time step. The adopted methodology consisted of three main steps that include: (i) selection of the EF predictors; (ii) comparison of the different classes of ML; (iii) application, cross-validation of the selected ML algorithms and comparison with the observed data.ResultsOur results indicate that SVM and GPR were the best classes of ML at predicting the EF, with a total of four different algorithms: cubic SVM, medium Gaussian SVM, the Matern 5/2 GPR, and the rational quadratic GPR. The comparison between observed and predicted EF in all four algorithms, during the training phase, were within the 95% confidence interval: theR2value between observed and predicted EF was 0.76 (RMSE 0.05) for the medium Gaussian SVM, 0.99 (RMSE 0.01) for the rational quadratic GPR, 0.94 (RMSE 0.02) for the Matern 5/2 GPR, and 0.83 (RMSE 0.05) for the cubic SVM algorithms. Similar results were obtained during the testing phase. The results of the cross-validation analysis indicate that theR2values obtained between all iterations for each of the four adopted ML algorithms were basically constant, confirming the ability of ML as a tool to predict EF.ConclusionML algorithms represent a valid alternative able to predict the EF especially when remote sensing data are not available, or the sky conditions are not suitable. The application to different geographical areas, or crops, requires further development of the model based on different data sources of soils, climate, and cropping systems.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 1 citations 1 popularity Top 10% influence Average impulse Average Powered by BIP!
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For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2023Publisher:ICOS ERIC -- Carbon Portal ICOS RI; Aalto, Juho; Aiguier, Thomas; Alivernini, Alessandro; Aluome, Christelle; Andersson, Tommy; Arriga, Nicola; Aurela, Mika; Back, Jaana; Barten, Sjoerd; Baur, Thomas; Bazot, Stéphane; Beauclair, Patrick; Becker, Nils; Becker, Nils; Belelli Marchesini, Luca; Bergström, Gunnar; Bernhofer, Christian; Berveiller, Daniel; Biermann, Tobias; Bloor, Juliette; Bodson, Bernard; Bogaerts, Gaëtan; Bortoli, Massimo; Bosio, Isabelle; Brut, Aurore; Brümmer, Christian; Buchmann, Nina; Buysse, Pauline; Båth, Anders; Calandrelli, Davide; Cavagna, Mauro; Ceschia, Eric (ORCID: 0000-0001-5941-752X); Chabbi, Abad; Chebbi, Wafa; Chianucci, Francesco; Chipeaux, Christophe; Chopin, Henri; Claverie, Nicole; Cobbe, Ivo (ORCID: 0000-0001-7898-380X); Colosse, David; Conte, Adriano; Corsanici, Roberto; Courtois, Pascal; Coyle, Mhairi; Crill, Patrick; Cuntz, Matthias; Cuocolo, Donato; Czerný, Radek; DEPUYDT, Jeremie; Darenová, Eva; Darsonville, Olivier; De Ligne, Anne; De Meulder, Tim; De Simon, Giuseppe; Decau, Marie-Laure; Dell'Acqua, Alessandro; Delorme, Jean-Pierre; Delpierre, Nicolas; Demoulin, Loïc; Denou, Jean-Luc; Di Matteo, Bruno; Di Tommasi, Paul; Dienstbach, Laura; Dignam, Rowan; Dolfus, Daniel; Domec, Jean-Christophe; Douxfils, Bernard; Dufrêne, Eric; Dumont, Benjamin; Durand, Brigitte; Eichelmann, Uwe; Engelmann, Thibaut; Esposito, Andrea; Esser, Odilia; Etzold, Sophia; Eugster, Werner; Famulari, Daniela; Fares, Silvano; Faurès, Ariane; Feigenwinter, Iris; Feldmann, Isabella; Fincham, William; Fischer, Milan; Foltýnová, Lenka (ORCID: 0000-0001-8202-955X); Friborg, Thomas; Galliot, Jean-Noel; Garcia Quiros, Inmaculada; Garrigou, Cyriane; Gasbarra, Daniele; Gessler, Arthur; Gharun, Mana; Gianelle, Damiano; Gimper, Sebastian; Goded, Ignacio; Graf, Alexander; Granouillac, Franck; Grenier, Maude; Grudd, Håkan; Grünwald, Thomas; Guillot, Timothé; Harvey, Duncan; Hatakka, Juha; Haustein, Andreas; Hehn, Markus; Heinesch, Bernard; Helfter, Carole; Heliasz, Michal; Holst, Jutta; Holst, Thomas; Hug, Christian; Häni, Mattias; Hörtnagl, Lukas; Ibrom, Andreas (ORCID: 0000-0002-1341-921X); Ilardi, Filippo; Jackowicz-Korczynski, Marcin Antoni; Janssens, Ivan; Jensen, Rasmus (ORCID: 0000-0001-8478-644X); Jocher, Georg; Joetzjer, Emilie; Jones, Matthew; Kempf, Jean; Kettler, Martina; Kljun, Natascha; Klumpp, Katja; Kolari, Pasi; Korrensalo, Aino; Kowalska, Natalia; Kozii, Nataliia; Krejza, Jan; Kristoffersson, Annika; Kruijt, Bart; Kruszewski, Alain; Kumar, Simpal; Kummer, Sirgit; Laakso, Heikki; Lafont, Sebastien; Lange Rønn, Erik; Larmanou, Eric; Laurila, Tuomas; Leeson, Sarah; Lefevre, Lodewijk; Lehner, Irene; Lemaire, Baptiste; Levula, Janne; Levy, Peter; Liechti, Käthi; Lily, Jean-Baptiste; Limousin, Jean-Marc; Linderson, Maj-Lena; Lindgren, Kim; Lohila, Annalea (ORCID: 0000-0003-3541-672X); Longdoz, Bernard; Lootens, Ron; Loubet, Benjamin; Loustau, Denis; Lundin, Erik; López-Blanco, Efrén; Löfvenius, Pernilla; Magliulo, Vincenzo; Mammarella, Ivan; Manco, Antonio; Manise, Tanguy; Marcolla, Barbara; Marek, Michal V.; Marklund, Per; Marloie, Olivier; Martin, Raphael; Martin - Saint Paul, Nicolas; Marty, Mauro; Matilainen, Teemu; Mattes, Judith; Matteucci, Marco; Mauder, Matthias (ORCID: 0000-0002-8789-163X); Meier, Philip; Meire, Alexander; Meis, Julia; Mensah, Caleb; Michaud, Luc; Minerbi, Stefano; Moderow, Uta; Montagnani, Leonardo; Moretti, Valerio; Morfin, Alexandre; Mullinger, Neil; Mäkelä, Timo; Männikkö, Milja; Männistö, Elisa; Mölder, Meelis; Møller, Flemming; Naiken, Alwin; Naseer, Mahum; Nemitz, Eiko; Nezval, Ondrej; Nilsson, Mats; Orgun, Ayche; Ottosson-Löfvenius, Mikaell; Ourcival, Jean-Marc; Paasch, Simon; Pavelka, Marian;This is the 2023-2 INTERIM release of the ICOS final quality ecosystem data product that includes eddy covariance fluxes, meteorological observations, ancillary and biometric data and full metadata at 39 labelled ICOS stations in the ecosystem domain. The archives contain more detailed description of the different data files contained in the archives. Please note that the 2023 measurements included in this interim release don't cover the full year, but do essentially cover the growing season. Measurements have been collected using the following instructions: ICOS Ecosystem Instructions for Air Meteorological Measurements (TA, RH, PA, WS, WD), https://doi.org/10.18160/NHEG-4KWW ICOS Ecosystem Instructions for Turbulent Flux Measurements of CO2, Energy and Momentum, https://doi.org/10.18160/QWV4-639G
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2012 United Kingdom, Finland, ItalyPublisher:IOP Publishing Funded by:NSERC, AKA | Effect of fast cycling ca...NSERC ,AKA| Effect of fast cycling carbon on the decomposition of old soil organic matter (FASTCARBON)Chaoyang Wu; Jing M Chen; Jukka Pumpanen; Alessandro Cescatti; Barbara Marcolla; Peter D Blanken; Jonas Ardö; Yanhong Tang; Vincenzo Magliulo; Teodoro Georgiadis; Henrik Soegaard; David R Cook; Richard J Harding.;handle: 20.500.14243/234632 , 10138/161971 , 10449/21243
Soil moisture induced droughts are expected to become more frequent under future global climate change. Precipitation has been previously assumed to be mainly responsible for variability in summer soil moisture. However, little is known about the impacts of precipitation frequency on summer soil moisture, either interannually or spatially. To better understand the temporal and spatial drivers of summer drought, 415 site yr measurements observed at 75 flux sites world wide were used to analyze the temporal and spatial relationships between summer soil water content (SWC) and the precipitation frequencies at various temporal scales, i.e., from half-hourly, 3, 6, 12 and 24 h measurements. Summer precipitation was found to be an indicator of interannual SWC variability with r of 0.49 (p < 0.001) for the overall dataset. However, interannual variability in summer SWC was also significantly correlated with the five precipitation frequencies and the sub-daily precipitation frequencies seemed to explain the interannual SWC variability better than the total of precipitation. Spatially, all these precipitation frequencies were better indicators of summer SWC than precipitation totals, but these better performances were only observed in non-forest ecosystems. Our results demonstrate that precipitation frequency may play an important role in regulating both interannual and spatial variations of summer SWC, which has probably been overlooked or underestimated. However, the spatial interpretation should carefully consider other factors, such as the plant functional types and soil characteristics of diverse ecoregions.
IRIS Cnr arrow_drop_down Fondazione Edmund Mach: IRIS-OpenPubArticle . 2012Full-Text: http://hdl.handle.net/10449/21243Data sources: Bielefeld Academic Search Engine (BASE)HELDA - Digital Repository of the University of HelsinkiArticle . 2016 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiNatural Environment Research Council: NERC Open Research ArchiveArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 428 citations 428 popularity Top 1% influence Top 1% impulse Top 0.1% Powered by BIP!
more_vert IRIS Cnr arrow_drop_down Fondazione Edmund Mach: IRIS-OpenPubArticle . 2012Full-Text: http://hdl.handle.net/10449/21243Data sources: Bielefeld Academic Search Engine (BASE)HELDA - Digital Repository of the University of HelsinkiArticle . 2016 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiNatural Environment Research Council: NERC Open Research ArchiveArticle . 2012Data 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 , Journal , Other literature type 2016 Italy, Netherlands, France, Italy, France, FrancePublisher:Elsevier BV Funded by:EC | GHG EUROPE, EC | ICOSEC| GHG EUROPE ,EC| ICOSCasimiro Pio; Asko Noormets; Magnus Lund; Simon Munier; Xiaotong Zhang; Thomas Grünwald; Leonardo Montagnani; Sebastian Wolf; Anders Lindroth; Antonio Raschi; Peter D. Blanken; Yunjun Yao; Moors Eddy; Moors Eddy; Meng Liu; Kun Jia; Vincenzo Magliulo; Jian Yu; Andrej Varlagin; Shunlin Liang; Jean-Christophe Domec; Jean-Christophe Domec; Shaomin Liu; Georg Wohlfahrt; Xianglan Li; Xianhong Xie; Ge Sun; Jiquan Chen; Bo Jiang;handle: 20.500.14243/293934
The latent heat flux (LE) between the terrestrial biosphere and atmosphere is a major driver of the global hydrological cycle. In this study, we evaluated LE simulations by 45 general circulation models (GCMs) in the Coupled Model Intercomparison Project Phase 5 (CMIP5) by a comparison with eddy covariance (EC) observations from 240 globally distributed sites from 2000 to 2009. In addition, we improved global terrestrial LE estimates for different land cover types by synthesis of seven best CMIP5 models and EC observations based on a Bayesian model averaging (BMA) method. The comparison results showed substantial differences in monthly LE among all GCMs. The model CESM1-CAM5 has the best performance with the highest predictive skill and a Taylor skill score (S) from 0.51–0.75 for different land cover types. The cross-validation results illustrate that the BMA method has improved the accuracy of the CMIP5 GCM’s LE simulation with a decrease in the averaged root-mean-square error (RMSE) by more than 3 W/m2 when compared to the simple model averaging (SMA) method and individual GCMs. We found an increasing trend in the BMA-based global terrestrial LE (slope of 0.018 W/m2 yr−1, p < 0.05) during the period 1970–2005. This variation may be attributed directly to the inter-annual variations in air temperature (Ta), surface incident solar radiation (Rs) and precipitation (P). However, our study highlights a large difference from previous studies in a continuous increasing trend after 1998, which may be caused by the combined effects of the variations of Rs, Ta, and P on LE for different models on these time scales. This study provides corrected-modeling evidence for an accelerated global water cycle with climate change.
Agricultural and For... arrow_drop_down Agricultural and Forest MeteorologyArticle . 2016License: Elsevier Non-CommercialData sources: BASE (Open Access Aggregator)INRIA a CCSD electronic archive serverArticle . 2016Data sources: INRIA a CCSD electronic archive serverAgricultural and Forest MeteorologyArticle . 2016Data sources: DANS (Data Archiving and Networked Services)Agricultural and Forest MeteorologyArticle . 2016 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefInstitut National de la Recherche Agronomique: ProdINRAArticle . 2016Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2016Data 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 Routeshybrid 27 citations 27 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Agricultural and For... arrow_drop_down Agricultural and Forest MeteorologyArticle . 2016License: Elsevier Non-CommercialData sources: BASE (Open Access Aggregator)INRIA a CCSD electronic archive serverArticle . 2016Data sources: INRIA a CCSD electronic archive serverAgricultural and Forest MeteorologyArticle . 2016Data sources: DANS (Data Archiving and Networked Services)Agricultural and Forest MeteorologyArticle . 2016 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefInstitut National de la Recherche Agronomique: ProdINRAArticle . 2016Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2016Data 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 , Journal 2014 ItalyPublisher:Oxford University Press (OUP) Publicly fundedFunded by:NSF | Development of a Data Ass..., NSF | LTREB: Effects of Warming..., NSF | Data-Model Fusion at Amer... +4 projectsNSF| Development of a Data Assimilation Capability Towards Ecological Forecasting in a Data-Rich Era ,NSF| LTREB: Effects of Warming and Clipping on Coupling of Carbon and Water Cycles in a Tallgrass Prairie ,NSF| Data-Model Fusion at AmeriFlux Sites: Towards Predictive Understanding of Seasonal and Interannual Variability in Net Ecosystem Exchange ,NSF| Collaborative Research: EPSCoR RII Track 2 Oklahoma and Kansas: A cyberCommons for Ecological Forecasting ,EC| GHG EUROPE ,NSF| RCN: Forecasts Of Resource and Environmental Changes: data Assimilation Science and Technology (FORECAST) ,NSERCSong Bing; Niu Shuli; Luo Ruisen; Luo Yiqi; Chen Jiquan; Yu Guirui; Olejnik Janusz; Wohlfahrt Georg; Kiely Gerard; Noormets Asko; Montagnani Leonardo; Cescatti Alessandro; Magliulo Vincenzo; Law Beverly Elizabeth; Lund Magnus; Varlagin Andrej; Raschi Antonio; Peichl Matthias; Nilsson Mats B; Merbold Lutz;doi: 10.1093/jpe/rtu014
handle: 20.500.14243/262075
Aims Recent studies revealed convergent temperature sensitivity of ecosystem respiration (Re) within aquatic ecosystems and between terrestrial and aquatic ecosystems. We do not know yet whether various terrestrial ecosystems have consistent or divergent temperature sensitivity. Here, we synthesized 163 eddy covariance flux sites across the world and examined the global variation of the apparent activation energy (Ea), which characterizes the apparent temperature sensitivity of and its interannual variability (IAV) as well as their controlling factors. Methods We used carbon fluxes and meteorological data across FLUXNET sites to calculate mean annual temperature, temperature range, precipitation, global radiation, potential radiation, gross primary productivity and Re by averaging the daily values over the years in each site. Furthermore, we analyzed the sites with >8 years data to examine the IAV of Ea and calculated the standard deviation of Ea across years at each site to characterize IAV. Important Findings The results showed a widely global variation of Ea, with significantly lower values in the tropical and subtropical areas than in temperate and boreal areas, and significantly higher values in grasslands and wetlands than that in deciduous broadleaf forests and evergreen forests. Globally, spatial variations of Ea were explained by changes in temperature and an index of water availability with differing contribution of each explaining variable among climate zones and biomes. IAV and the corresponding coefficient of variation of Ea decreased with increasing latitude, but increased with radiation and corresponding mean annual temperature. The revealed patterns in the spatial and temporal variations of Ea and its controlling factors indicate divergent temperature sensitivity of R-e, which could help to improve our predictive understanding of R-e in response to climate change.
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For further information contact us at helpdesk@openaire.euAccess Routesbronze 20 citations 20 popularity Top 10% influence Average impulse Average Powered by BIP!
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 1995 ItalyPublisher:Edagricole, Bologna , Italia Authors: Magliulo V.; Giorio P.; Pitacco A.;handle: 20.500.14243/69710 , 11577/2489281
Su una coltura di soia, sono stati misurati i flussi dievapotraspirazione e di fotosintesi apparente mediante la tecnicamicrometereologica del rapporto di Bowen, integrata con lamisurazione dei gradienti della concentrazione di CO2. La coltura,che ha sviluppato una densa vegetazione (LAI massimo = 6.7), hadissipato sotto forma di calore latente la maggior partedell'energia disponibile. A tre mesi dalla semina, il valore mediodiurno del rapporto di Bowen risultato ancora relativamentebasso, e pari a 0.23. I valori di fotosintesi apparente sonorisultati minori di quelli riportati, per la stessa specie, daaltri Autori. Gli andamenti giornalieri dei flussi assimilativisono stati caratterizzati da fenomeni di isteresi, probabilmenteper effetto della maggiore attivit respiratoria nelle orepomeridiane. Il fenomeno si accentuato nel corso della stagionecolturale con l' intensificarsi dei processi di traslocazione degliassimilati above a soybean canopy, evapotranspiration and apparent canopy photosynthesis were monitored by the micrometeorologicaltechnique of the Bowen ratio energy balance (BREB), integrated withthe measurement of the CO2 concentration gradient. The dense canopy(maximum LAI = 6.7) managed to dissipate most of the availableenergy under the form of latent heat and even three months aftersowing, mean daytime Bowen ratio averaged 0.23. Apparent canopy photosynthesis rates were lower than reported elsewhere for soybean; daily trends showed typical hysteretic loops likely due tothe higher afternoon respiration rates. The loops were increasinglymore pronounced as the sink size increased along the season.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
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You have already added works in your ORCID record related to the merged Research product.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=11577/2489281&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Part of book or chapter of book , Article 2014 Netherlands, Italy, NetherlandsPublisher:Springer Berlin Heidelberg Papale D; Migliavacca M; Cremonese E; Cescatti A; Alberti G; Balzarolo M; Belelli Marchesini L; Canfora E; Casa R; Duce P; Facini O; Galvagno M; Genesio L; Gianelle D; Magliulo V; Matteucci G; Montagnani L; Petrella F; Pitacco A; Seufert G; Spano D; Stefani P; Vaccari FP; Valentini R;In this chapter the Eddy Covariance network of Italy is presented, with a short introduction to each of the 29 sites that were active during the CarboItaly project. These sites provided a unique dataset for a better study and understanding of the carbon cycle of terrestrial ecosystems and the links between carbon sink capacity and the main environmental factors. After a number of examples of Eddy Covariance time series where it is possible to see the effect of interannual climate variability and disturbances and managements practices, an analysis of the role of the Carbon Uptake Period in the total Net Ecosystem Exchange (NEE) definition and a study of the effect of temperature and precipitation on the interannual variability of NEE are presented in order to show the way these data can contribute to a better understanding of the role and response of ecosystems to climate change.
Fondazione Edmund Ma... arrow_drop_down Fondazione Edmund Mach: IRIS-OpenPubPart of book or chapter of book . 2015Full-Text: http://hdl.handle.net/10449/25172Data sources: Bielefeld Academic Search Engine (BASE)Archivio istituzionale della ricerca - Fondazione Edmund MachPart of book or chapter of book . 2015Archivio istituzionale della ricerca - Università degli Studi di UdinePart of book or chapter of book . 2014DANS (Data Archiving and Networked Services)Part of book or chapter of book . 2015Data sources: DANS (Data Archiving and Networked Services)https://doi.org/10.1007/978-3-...Part of book or chapter of book . 2014 . Peer-reviewedLicense: Springer TDMData sources: CrossrefVrije Universiteit Amsterdam (VU Amsterdam) – Research PortalPart of book or chapter of book . 2015add 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=10.1007/978-3-642-32424-6_2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 11 citations 11 popularity Top 10% influence Average impulse Average Powered by BIP!
more_vert Fondazione Edmund Ma... arrow_drop_down Fondazione Edmund Mach: IRIS-OpenPubPart of book or chapter of book . 2015Full-Text: http://hdl.handle.net/10449/25172Data sources: Bielefeld Academic Search Engine (BASE)Archivio istituzionale della ricerca - Fondazione Edmund MachPart of book or chapter of book . 2015Archivio istituzionale della ricerca - Università degli Studi di UdinePart of book or chapter of book . 2014DANS (Data Archiving and Networked Services)Part of book or chapter of book . 2015Data sources: DANS (Data Archiving and Networked Services)https://doi.org/10.1007/978-3-...Part of book or chapter of book . 2014 . Peer-reviewedLicense: Springer TDMData sources: CrossrefVrije Universiteit Amsterdam (VU Amsterdam) – Research PortalPart of book or chapter of book . 2015add 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=10.1007/978-3-642-32424-6_2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2017 ItalyPublisher:Copernicus GmbH Funded by:NSERC, EC | ICOSNSERC ,EC| ICOSYang Zhou; Yang Zhou; Feng Tao; Georg Wohlfahrt; Renduo Zhang; Juan Zhu; Alessandro Cescatti; Vincenzo Magliulo; Zhiyuan Zhang; Minmin Sun; Guanhong Chen;handle: 20.500.14243/327527
Abstract. Terrestrial ecosystem respiration (Re) is the major source of CO2 release and constitutes the second largest carbon flux between the biosphere and atmosphere. Therefore, climate-driven changes of Re may greatly impact on future atmospheric CO2 concentration. The aim of this study was to derive an air temperature threshold for identifying the driving climate forces of the respiratory process in terrestrial ecosystems within different temperature zones. For this purpose, a global dataset of 647 site-years of ecosystem flux data collected at 152 sites has been examined. Our analysis revealed an ecosystem threshold of mean annual air temperature (MAT) of 11 &pm; 2.3 °C. In ecosystems with the MAT below this threshold, the maximum Re rates were primarily dependent on temperature and respiration was mainly a temperature-driven process. On the contrary, in ecosystems with the MAT greater than 11 ± 2.3 °C, in addition to temperature, other driving forces, such as water availability and surface heat flux, became significant drivers of the maximum Re rates and respiration was a multi-factor-driven process. The information derived from this study highlight the key role of temperature as main controlling factor of the maximum Re rates on a large fraction of the terrestrial biosphere, while other driving forces reduce the maximum Re rates and temperature sensitivity of the respiratory process. These findings are particularly relevant under the current scenario of rapid global warming, given that the potential climate-induced changes in ecosystem respiration may lead to substantial anomalies in the seasonality and magnitude of the terrestrial carbon budget.
IRIS Cnr arrow_drop_down https://doi.org/10.5194/bg-201...Article . 2017 . Peer-reviewedLicense: CC BYData 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=10.5194/bg-2017-345&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert IRIS Cnr arrow_drop_down https://doi.org/10.5194/bg-201...Article . 2017 . Peer-reviewedLicense: CC BYData 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=10.5194/bg-2017-345&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Research , Journal 2017Embargo end date: 01 Jan 2018 France, Norway, Italy, Germany, Switzerland, Ireland, Germany, FrancePublisher:Copernicus GmbH Publicly fundedFunded by:NSERC, EC | BACI, EC | ICOSNSERC ,EC| BACI ,EC| ICOSJ. von Buttlar; J. von Buttlar; J. Zscheischler; J. Zscheischler; A. Rammig; S. Sippel; S. Sippel; M. Reichstein; M. Reichstein; A. Knohl; M. Jung; O. Menzer; M. A. Arain; N. Buchmann; A. Cescatti; D. Gianelle; G. Kiely; B. E. Law; V. Magliulo; H. Margolis; H. McCaughey; L. Merbold; L. Merbold; M. Migliavacca; L. Montagnani; W. Oechel; W. Oechel; M. Pavelka; M. Peichl; S. Rambal; A. Raschi; R. L. Scott; F. P. Vaccari; E. van Gorsel; A. Varlagin; G. Wohlfahrt; M. D. Mahecha; M. D. Mahecha;Abstract. Extreme climatic events, such as droughts and heat stress induce anomalies in ecosystem-atmosphere CO2 fluxes, such as gross primary production (GPP) and ecosystem respiration (Reco), and, hence, can change the net ecosystem carbon balance. However, despite our increasing understanding of the underlying mechanisms, the magnitudes of the impacts of different types of extremes on GPP and Reco within and between ecosystems remain poorly predicted. Here we aim to identify the major factors controlling the amplitude of extreme event impacts on GPP, Reco, and the resulting net ecosystem production (NEP). We focus on the impacts of heat and drought and their combination. We identified hydrometeorological extreme events in consistently downscaled water availability and temperature measurements over a 30 year time period. We then used FLUXNET eddy-covariance flux measurements to estimate the CO2 flux anomalies during these extreme events across dominant vegetation types and climate zones. Overall, our results indicate that short-term heat extremes increased respiration more strongly than they down-regulated GPP, resulting in a moderate reduction of the ecosystem’s carbon sink potential. In the absence of heat stress, droughts tended to have smaller and similarly dampening effects on both GPP and Reco, and, hence, often resulted in neutral NEP responses. The combination of drought and heat typically led to a strong decrease in GPP, whereas heat and drought impacts on respiration partially offset each other. Taken together, compound heat and drought events led to the strongest C sink reduction compared to any single-factor extreme. A key insight of this paper, however, is that duration matters most: for heat stress during droughts, the magnitude of impacts systematically increased with duration, whereas under heat stress without drought, the response of Reco over time turned from an initial increase to a down-regulation after about two weeks. This confirms earlier theories that not only the magnitude but also the duration of an extreme event determines its impact. Our study corroborates the results of several local site-level case studies, but as a novelty generalizes these findings at the global scale. Specifically, we find that the different response functions of the two antipodal land-atmosphere fluxes GPP and Reco can also result in increasing NEP during certain extreme conditions. Apparently counterintuitive findings of this kind bear great potential for scrutinizing the mechanisms implemented in state-of-the-art terrestrial biosphere models and provide a benchmark for future model development and testing.
IRIS Cnr arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2018License: CC BYFull-Text: https://hdl.handle.net/10568/92063Data sources: Bielefeld Academic Search Engine (BASE)Fondazione Edmund Mach: IRIS-OpenPubArticle . 2018Full-Text: http://hdl.handle.net/10449/46682Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/bg-201...Article . 2017 . Peer-reviewedLicense: CC BYData sources: CrossrefPublikationenserver der Georg-August-Universität GöttingenArticle . 2019Göttingen Research Online PublicationsArticle . 2019Data sources: Göttingen Research Online PublicationsCork Open Research Archive (CORA)Article . 2018License: CC BYFull-Text: https://www.biogeosciences.net/15/1293/2018/Data sources: Cork Open Research Archive (CORA)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=10.5194/bg-2017-393&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 173 citations 173 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert IRIS Cnr arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2018License: CC BYFull-Text: https://hdl.handle.net/10568/92063Data sources: Bielefeld Academic Search Engine (BASE)Fondazione Edmund Mach: IRIS-OpenPubArticle . 2018Full-Text: http://hdl.handle.net/10449/46682Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/bg-201...Article . 2017 . Peer-reviewedLicense: CC BYData sources: CrossrefPublikationenserver der Georg-August-Universität GöttingenArticle . 2019Göttingen Research Online PublicationsArticle . 2019Data sources: Göttingen Research Online PublicationsCork Open Research Archive (CORA)Article . 2018License: CC BYFull-Text: https://www.biogeosciences.net/15/1293/2018/Data sources: Cork Open Research Archive (CORA)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=10.5194/bg-2017-393&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2020Embargo end date: 26 Oct 2020 Germany, Germany, Sweden, Netherlands, China (People's Republic of), France, Switzerland, China (People's Republic of), China (People's Republic of), Italy, Germany, Germany, Italy, Belgium, Netherlands, Italy, Denmark, Germany, ItalyPublisher:The Royal Society Publicly fundedFunded by:EC | ERA-GAS, EC | SUMFOREST, DFG +9 projectsEC| ERA-GAS ,EC| SUMFOREST ,DFG ,SNSF| ICOS-CH Phase 2 ,DFG| Agricultural Landscapes under Global Climate Change - Processes and Feedbacks on a Regional Scale - ,SNSF| Reconciling innovative farming practices and networks to enable sustainable development of smart Swiss farming systems ,ANR| ARBRE ,EC| ICOS ,AKA| Centre of Excellence in Atmospheric Science From Molecular and Biolocigal processes to The Global Climate ,EC| SUPER-G ,ANR| ForRISK ,SNSF| Systemanalyse der RaumkonstanzChristian Brümmer; Janina Klatt; Mats Nilsson; Jan Konopka; Christian Wille; Alexander Graf; Nadia Vendrame; Matthias Cuntz; Harry Vereecken; Gerald Jurasinski; Heye Bogena; Nina Buchmann; Marilyn Roland; Natalia Kowalska; Bert Gielen; Anne Klosterhalfen; Anne Klosterhalfen; Arne Poyda; Arne Poyda; Mirco Migliavacca; Matthias Peichl; Christophe Chipeaux; Andrej Varlagin; Günther Heinemann; Corinna Rebmann; Caroline Vincke; Franziska Koebsch; Sébastien Lafont; Ladislav Šigut; Bart Kruijt; Jan Holst; Jinshu Chi; Mika Korkiakoski; Silvano Fares; Bernard Heinesch; Alexander Knohl; Pia Gottschalk; Marius Schmidt; Thomas Grünwald; Matthias Zeeman; Shiva Ghiasi; Frédéric Bornet; Frederik Schrader; Lenka Foltýnová; Hans-Dieter Wizemann; Bernard Longdoz; Pascal Kremer; Andreas Ibrom; Vincenzo Magliulo; Edoardo Cremonese; Giovanni Manca; Michal Heliasz; Milan Fischer; Christian Bernhofer; Nicola Arriga; Joachim Ingwersen; Andrea Pitacco; Johan Neirynck; Denis Loustau; Anne De Ligne; Jiří Dušek; Joël Léonard; Ivan Mammarella; Patrizia Ney; Eugénie Paul-Limoges; Matthias Mauder; Stephan Weber; Tarek S. El-Madany; Torsten Sachs; Nicolas Brüggemann; Lukas Hörtnagl; Mana Gharun; Ingo Völksch; Meelis Mölder; Eeva-Stiina Tuittila; Lukas Siebicke;pmid: 32892732
pmc: PMC7485107
handle: 20.500.14243/394097 , 10067/1719180151162165141 , 11572/278174
pmid: 32892732
pmc: PMC7485107
handle: 20.500.14243/394097 , 10067/1719180151162165141 , 11572/278174
Drought and heat events, such as the 2018 European drought, interact with the exchange of energy between the land surface and the atmosphere, potentially affecting albedo, sensible and latent heat fluxes, as well as CO 2 exchange. Each of these quantities may aggravate or mitigate the drought, heat, their side effects on productivity, water scarcity and global warming. We used measurements of 56 eddy covariance sites across Europe to examine the response of fluxes to extreme drought prevailing most of the year 2018 and how the response differed across various ecosystem types (forests, grasslands, croplands and peatlands). Each component of the surface radiation and energy balance observed in 2018 was compared to available data per site during a reference period 2004–2017. Based on anomalies in precipitation and reference evapotranspiration, we classified 46 sites as drought affected. These received on average 9% more solar radiation and released 32% more sensible heat to the atmosphere compared to the mean of the reference period. In general, drought decreased net CO 2 uptake by 17.8%, but did not significantly change net evapotranspiration. The response of these fluxes differed characteristically between ecosystems; in particular, the general increase in the evaporative index was strongest in peatlands and weakest in croplands. This article is part of the theme issue ‘Impacts of the 2018 severe drought and heatwave in Europe: from site to continental scale’.
SLU publication data... arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2020Data sources: Bielefeld Academic Search Engine (BASE)Philosophical Transactions of the Royal Society B Biological SciencesArticleData sources: UnpayWallPhilosophical Transactions of the Royal Society B Biological SciencesArticle . 2020Data sources: DANS (Data Archiving and Networked Services)Online Research Database In TechnologyArticle . 2020Data sources: Online Research Database In TechnologyPublikationenserver der Georg-August-Universität GöttingenArticle . 2021GFZ German Research Centre for GeosciencesArticle . 2020Data sources: GFZ German Research Centre for GeosciencesPhilosophical Transactions of the Royal Society B Biological SciencesArticle . 2020 . Peer-reviewedData sources: CrossrefInstitutional Repository Universiteit AntwerpenArticle . 2020Data sources: Institutional Repository Universiteit AntwerpenPhilosophical Transactions of the Royal Society B Biological SciencesArticle . 2021Data sources: Europe PubMed CentralPhilosophical Transactions of the Royal Society B Biological SciencesArticle . 2020 . Peer-reviewedData sources: European Union Open Data PortalInstitut National de la Recherche Agronomique: ProdINRAArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)GFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam)Article . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1098/rstb.2019.0524&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 44 citations 44 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert SLU publication data... arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2020Data sources: Bielefeld Academic Search Engine (BASE)Philosophical Transactions of the Royal Society B Biological SciencesArticleData sources: UnpayWallPhilosophical Transactions of the Royal Society B Biological SciencesArticle . 2020Data sources: DANS (Data Archiving and Networked Services)Online Research Database In TechnologyArticle . 2020Data sources: Online Research Database In TechnologyPublikationenserver der Georg-August-Universität GöttingenArticle . 2021GFZ German Research Centre for GeosciencesArticle . 2020Data sources: GFZ German Research Centre for GeosciencesPhilosophical Transactions of the Royal Society B Biological SciencesArticle . 2020 . Peer-reviewedData sources: CrossrefInstitutional Repository Universiteit AntwerpenArticle . 2020Data sources: Institutional Repository Universiteit AntwerpenPhilosophical Transactions of the Royal Society B Biological SciencesArticle . 2021Data sources: Europe PubMed CentralPhilosophical Transactions of the Royal Society B Biological SciencesArticle . 2020 . Peer-reviewedData sources: European Union Open Data PortalInstitut National de la Recherche Agronomique: ProdINRAArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)GFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam)Article . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1098/rstb.2019.0524&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 ItalyPublisher:Springer Science and Business Media LLC Authors: Zenone T; Vitale L; Famulari D; Magliulo V;handle: 20.500.14243/416230
AbstractBackgroundThe evaporative fraction (EF) represents an important biophysical parameter reflecting the distribution of surface available energy. In this study, we investigated the daily and seasonal patterns of EF in a multi-year corn cultivation located in southern Italy and evaluated the performance of five machine learning (ML) classes of algorithms: the linear regression (LR), regression tree (RT), support vector machine (SVM), ensembles of tree (ETs) and Gaussian process regression (GPR) to predict the EF at daily time step. The adopted methodology consisted of three main steps that include: (i) selection of the EF predictors; (ii) comparison of the different classes of ML; (iii) application, cross-validation of the selected ML algorithms and comparison with the observed data.ResultsOur results indicate that SVM and GPR were the best classes of ML at predicting the EF, with a total of four different algorithms: cubic SVM, medium Gaussian SVM, the Matern 5/2 GPR, and the rational quadratic GPR. The comparison between observed and predicted EF in all four algorithms, during the training phase, were within the 95% confidence interval: theR2value between observed and predicted EF was 0.76 (RMSE 0.05) for the medium Gaussian SVM, 0.99 (RMSE 0.01) for the rational quadratic GPR, 0.94 (RMSE 0.02) for the Matern 5/2 GPR, and 0.83 (RMSE 0.05) for the cubic SVM algorithms. Similar results were obtained during the testing phase. The results of the cross-validation analysis indicate that theR2values obtained between all iterations for each of the four adopted ML algorithms were basically constant, confirming the ability of ML as a tool to predict EF.ConclusionML algorithms represent a valid alternative able to predict the EF especially when remote sensing data are not available, or the sky conditions are not suitable. The application to different geographical areas, or crops, requires further development of the model based on different data sources of soils, climate, and cropping systems.
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=10.1186/s13717-022-00400-1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 1 citations 1 popularity Top 10% influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1186/s13717-022-00400-1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2023Publisher:ICOS ERIC -- Carbon Portal ICOS RI; Aalto, Juho; Aiguier, Thomas; Alivernini, Alessandro; Aluome, Christelle; Andersson, Tommy; Arriga, Nicola; Aurela, Mika; Back, Jaana; Barten, Sjoerd; Baur, Thomas; Bazot, Stéphane; Beauclair, Patrick; Becker, Nils; Becker, Nils; Belelli Marchesini, Luca; Bergström, Gunnar; Bernhofer, Christian; Berveiller, Daniel; Biermann, Tobias; Bloor, Juliette; Bodson, Bernard; Bogaerts, Gaëtan; Bortoli, Massimo; Bosio, Isabelle; Brut, Aurore; Brümmer, Christian; Buchmann, Nina; Buysse, Pauline; Båth, Anders; Calandrelli, Davide; Cavagna, Mauro; Ceschia, Eric (ORCID: 0000-0001-5941-752X); Chabbi, Abad; Chebbi, Wafa; Chianucci, Francesco; Chipeaux, Christophe; Chopin, Henri; Claverie, Nicole; Cobbe, Ivo (ORCID: 0000-0001-7898-380X); Colosse, David; Conte, Adriano; Corsanici, Roberto; Courtois, Pascal; Coyle, Mhairi; Crill, Patrick; Cuntz, Matthias; Cuocolo, Donato; Czerný, Radek; DEPUYDT, Jeremie; Darenová, Eva; Darsonville, Olivier; De Ligne, Anne; De Meulder, Tim; De Simon, Giuseppe; Decau, Marie-Laure; Dell'Acqua, Alessandro; Delorme, Jean-Pierre; Delpierre, Nicolas; Demoulin, Loïc; Denou, Jean-Luc; Di Matteo, Bruno; Di Tommasi, Paul; Dienstbach, Laura; Dignam, Rowan; Dolfus, Daniel; Domec, Jean-Christophe; Douxfils, Bernard; Dufrêne, Eric; Dumont, Benjamin; Durand, Brigitte; Eichelmann, Uwe; Engelmann, Thibaut; Esposito, Andrea; Esser, Odilia; Etzold, Sophia; Eugster, Werner; Famulari, Daniela; Fares, Silvano; Faurès, Ariane; Feigenwinter, Iris; Feldmann, Isabella; Fincham, William; Fischer, Milan; Foltýnová, Lenka (ORCID: 0000-0001-8202-955X); Friborg, Thomas; Galliot, Jean-Noel; Garcia Quiros, Inmaculada; Garrigou, Cyriane; Gasbarra, Daniele; Gessler, Arthur; Gharun, Mana; Gianelle, Damiano; Gimper, Sebastian; Goded, Ignacio; Graf, Alexander; Granouillac, Franck; Grenier, Maude; Grudd, Håkan; Grünwald, Thomas; Guillot, Timothé; Harvey, Duncan; Hatakka, Juha; Haustein, Andreas; Hehn, Markus; Heinesch, Bernard; Helfter, Carole; Heliasz, Michal; Holst, Jutta; Holst, Thomas; Hug, Christian; Häni, Mattias; Hörtnagl, Lukas; Ibrom, Andreas (ORCID: 0000-0002-1341-921X); Ilardi, Filippo; Jackowicz-Korczynski, Marcin Antoni; Janssens, Ivan; Jensen, Rasmus (ORCID: 0000-0001-8478-644X); Jocher, Georg; Joetzjer, Emilie; Jones, Matthew; Kempf, Jean; Kettler, Martina; Kljun, Natascha; Klumpp, Katja; Kolari, Pasi; Korrensalo, Aino; Kowalska, Natalia; Kozii, Nataliia; Krejza, Jan; Kristoffersson, Annika; Kruijt, Bart; Kruszewski, Alain; Kumar, Simpal; Kummer, Sirgit; Laakso, Heikki; Lafont, Sebastien; Lange Rønn, Erik; Larmanou, Eric; Laurila, Tuomas; Leeson, Sarah; Lefevre, Lodewijk; Lehner, Irene; Lemaire, Baptiste; Levula, Janne; Levy, Peter; Liechti, Käthi; Lily, Jean-Baptiste; Limousin, Jean-Marc; Linderson, Maj-Lena; Lindgren, Kim; Lohila, Annalea (ORCID: 0000-0003-3541-672X); Longdoz, Bernard; Lootens, Ron; Loubet, Benjamin; Loustau, Denis; Lundin, Erik; López-Blanco, Efrén; Löfvenius, Pernilla; Magliulo, Vincenzo; Mammarella, Ivan; Manco, Antonio; Manise, Tanguy; Marcolla, Barbara; Marek, Michal V.; Marklund, Per; Marloie, Olivier; Martin, Raphael; Martin - Saint Paul, Nicolas; Marty, Mauro; Matilainen, Teemu; Mattes, Judith; Matteucci, Marco; Mauder, Matthias (ORCID: 0000-0002-8789-163X); Meier, Philip; Meire, Alexander; Meis, Julia; Mensah, Caleb; Michaud, Luc; Minerbi, Stefano; Moderow, Uta; Montagnani, Leonardo; Moretti, Valerio; Morfin, Alexandre; Mullinger, Neil; Mäkelä, Timo; Männikkö, Milja; Männistö, Elisa; Mölder, Meelis; Møller, Flemming; Naiken, Alwin; Naseer, Mahum; Nemitz, Eiko; Nezval, Ondrej; Nilsson, Mats; Orgun, Ayche; Ottosson-Löfvenius, Mikaell; Ourcival, Jean-Marc; Paasch, Simon; Pavelka, Marian;This is the 2023-2 INTERIM release of the ICOS final quality ecosystem data product that includes eddy covariance fluxes, meteorological observations, ancillary and biometric data and full metadata at 39 labelled ICOS stations in the ecosystem domain. The archives contain more detailed description of the different data files contained in the archives. Please note that the 2023 measurements included in this interim release don't cover the full year, but do essentially cover the growing season. Measurements have been collected using the following instructions: ICOS Ecosystem Instructions for Air Meteorological Measurements (TA, RH, PA, WS, WD), https://doi.org/10.18160/NHEG-4KWW ICOS Ecosystem Instructions for Turbulent Flux Measurements of CO2, Energy and Momentum, https://doi.org/10.18160/QWV4-639G
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=r3730f562f9e::1cc422f6370b4a69492a2e42df7efd73&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2012 United Kingdom, Finland, ItalyPublisher:IOP Publishing Funded by:NSERC, AKA | Effect of fast cycling ca...NSERC ,AKA| Effect of fast cycling carbon on the decomposition of old soil organic matter (FASTCARBON)Chaoyang Wu; Jing M Chen; Jukka Pumpanen; Alessandro Cescatti; Barbara Marcolla; Peter D Blanken; Jonas Ardö; Yanhong Tang; Vincenzo Magliulo; Teodoro Georgiadis; Henrik Soegaard; David R Cook; Richard J Harding.;handle: 20.500.14243/234632 , 10138/161971 , 10449/21243
Soil moisture induced droughts are expected to become more frequent under future global climate change. Precipitation has been previously assumed to be mainly responsible for variability in summer soil moisture. However, little is known about the impacts of precipitation frequency on summer soil moisture, either interannually or spatially. To better understand the temporal and spatial drivers of summer drought, 415 site yr measurements observed at 75 flux sites world wide were used to analyze the temporal and spatial relationships between summer soil water content (SWC) and the precipitation frequencies at various temporal scales, i.e., from half-hourly, 3, 6, 12 and 24 h measurements. Summer precipitation was found to be an indicator of interannual SWC variability with r of 0.49 (p < 0.001) for the overall dataset. However, interannual variability in summer SWC was also significantly correlated with the five precipitation frequencies and the sub-daily precipitation frequencies seemed to explain the interannual SWC variability better than the total of precipitation. Spatially, all these precipitation frequencies were better indicators of summer SWC than precipitation totals, but these better performances were only observed in non-forest ecosystems. Our results demonstrate that precipitation frequency may play an important role in regulating both interannual and spatial variations of summer SWC, which has probably been overlooked or underestimated. However, the spatial interpretation should carefully consider other factors, such as the plant functional types and soil characteristics of diverse ecoregions.
IRIS Cnr arrow_drop_down Fondazione Edmund Mach: IRIS-OpenPubArticle . 2012Full-Text: http://hdl.handle.net/10449/21243Data sources: Bielefeld Academic Search Engine (BASE)HELDA - Digital Repository of the University of HelsinkiArticle . 2016 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiNatural Environment Research Council: NERC Open Research ArchiveArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/7/2/024011&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 428 citations 428 popularity Top 1% influence Top 1% impulse Top 0.1% Powered by BIP!
more_vert IRIS Cnr arrow_drop_down Fondazione Edmund Mach: IRIS-OpenPubArticle . 2012Full-Text: http://hdl.handle.net/10449/21243Data sources: Bielefeld Academic Search Engine (BASE)HELDA - Digital Repository of the University of HelsinkiArticle . 2016 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiNatural Environment Research Council: NERC Open Research ArchiveArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/7/2/024011&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2016 Italy, Netherlands, France, Italy, France, FrancePublisher:Elsevier BV Funded by:EC | GHG EUROPE, EC | ICOSEC| GHG EUROPE ,EC| ICOSCasimiro Pio; Asko Noormets; Magnus Lund; Simon Munier; Xiaotong Zhang; Thomas Grünwald; Leonardo Montagnani; Sebastian Wolf; Anders Lindroth; Antonio Raschi; Peter D. Blanken; Yunjun Yao; Moors Eddy; Moors Eddy; Meng Liu; Kun Jia; Vincenzo Magliulo; Jian Yu; Andrej Varlagin; Shunlin Liang; Jean-Christophe Domec; Jean-Christophe Domec; Shaomin Liu; Georg Wohlfahrt; Xianglan Li; Xianhong Xie; Ge Sun; Jiquan Chen; Bo Jiang;handle: 20.500.14243/293934
The latent heat flux (LE) between the terrestrial biosphere and atmosphere is a major driver of the global hydrological cycle. In this study, we evaluated LE simulations by 45 general circulation models (GCMs) in the Coupled Model Intercomparison Project Phase 5 (CMIP5) by a comparison with eddy covariance (EC) observations from 240 globally distributed sites from 2000 to 2009. In addition, we improved global terrestrial LE estimates for different land cover types by synthesis of seven best CMIP5 models and EC observations based on a Bayesian model averaging (BMA) method. The comparison results showed substantial differences in monthly LE among all GCMs. The model CESM1-CAM5 has the best performance with the highest predictive skill and a Taylor skill score (S) from 0.51–0.75 for different land cover types. The cross-validation results illustrate that the BMA method has improved the accuracy of the CMIP5 GCM’s LE simulation with a decrease in the averaged root-mean-square error (RMSE) by more than 3 W/m2 when compared to the simple model averaging (SMA) method and individual GCMs. We found an increasing trend in the BMA-based global terrestrial LE (slope of 0.018 W/m2 yr−1, p < 0.05) during the period 1970–2005. This variation may be attributed directly to the inter-annual variations in air temperature (Ta), surface incident solar radiation (Rs) and precipitation (P). However, our study highlights a large difference from previous studies in a continuous increasing trend after 1998, which may be caused by the combined effects of the variations of Rs, Ta, and P on LE for different models on these time scales. This study provides corrected-modeling evidence for an accelerated global water cycle with climate change.
Agricultural and For... arrow_drop_down Agricultural and Forest MeteorologyArticle . 2016License: Elsevier Non-CommercialData sources: BASE (Open Access Aggregator)INRIA a CCSD electronic archive serverArticle . 2016Data sources: INRIA a CCSD electronic archive serverAgricultural and Forest MeteorologyArticle . 2016Data sources: DANS (Data Archiving and Networked Services)Agricultural and Forest MeteorologyArticle . 2016 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefInstitut National de la Recherche Agronomique: ProdINRAArticle . 2016Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2016Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.agrformet.2016.03.016&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routeshybrid 27 citations 27 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Agricultural and For... arrow_drop_down Agricultural and Forest MeteorologyArticle . 2016License: Elsevier Non-CommercialData sources: BASE (Open Access Aggregator)INRIA a CCSD electronic archive serverArticle . 2016Data sources: INRIA a CCSD electronic archive serverAgricultural and Forest MeteorologyArticle . 2016Data sources: DANS (Data Archiving and Networked Services)Agricultural and Forest MeteorologyArticle . 2016 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefInstitut National de la Recherche Agronomique: ProdINRAArticle . 2016Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2016Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.agrformet.2016.03.016&type=result"></script>'); --> </script>
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