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description Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2016Embargo end date: 01 Oct 2016 SwitzerlandPublisher:Elsevier BV Authors: Klaus, Valentin; id_orcid0000-0002-7469-6800; Hölzel, Norbert; Prati, Daniel; Schmitt, Barbara; +6 AuthorsKlaus, Valentin; id_orcid0000-0002-7469-6800; Hölzel, Norbert; Prati, Daniel; Schmitt, Barbara; Schöning, Ingo; Schrumpf, Marion; Solly, Emily F.; Hänsel, Falk; Fischer, Markus; Kleinebecker, Till;Land-use change and intensification play a key role in the current biodiversity crisis. The resulting species loss can have severe effects on ecosystem functions and services, thereby increasing ecosystem vulnerability to climate change. We explored whether land-use intensification (i.e. fertilization intensity), plant diversity and other potentially confounding environmental factors may be significantly related to water use (i.e. drought stress) of grassland plants. Drought stress was assessed using δ13C abundances in aboveground plant biomass of 150 grassland plots across a gradient of land-use intensity. Under water shortage, plants are forced to increasingly take up the heavier 13C due to closing stomata leading to an enrichment of 13C in biomass. Plants were sampled at the community level and for single species, which belong to three different functional groups (one grass, one herb, two legumes). Results show that plant diversity was significantly related to the δ13C signal in community, grass and legume biomass indicating that drought stress was lower under higher diversity, although this relation was not significant for the herb species under study. Fertilization, in turn, mostly increased drought stress as indicated by more positive δ13C values. This effect was mostly indirect by decreasing plant diversity. In line with these results, we found similar patterns in the δ13C signal of the organic matter in the topsoil, indicating a long history of these processes. Our study provided strong indication for a positive biodiversity-ecosystem functioning relationship with reduced drought stress at higher plant diversity. However, it also underlined a negative reinforcing situation: as land-use intensification decreases plant diversity in grasslands, this might subsequently increases drought sensitivity. Vice-versa, enhancing plant diversity in species-poor agricultural grasslands may moderate negative effects of future climate change.
The Science of The T... arrow_drop_down The Science of The Total EnvironmentArticle . 2016 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.scitotenv.2016.05.008&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 37 citations 37 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert The Science of The T... arrow_drop_down The Science of The Total EnvironmentArticle . 2016 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.scitotenv.2016.05.008&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2014Embargo end date: 01 Jan 2014 Switzerland, Germany, Netherlands, DenmarkPublisher:Copernicus GmbH Funded by:NSERC, NSF | BE/CBC: Biocomplexity Ass..., NSF | Fire in Northern Alaska: ... +4 projectsNSERC ,NSF| BE/CBC: Biocomplexity Associated with the Response of Tundra Carbon Balance to Warming and Drying Across Multiple Spatial and Temporal Scales ,NSF| Fire in Northern Alaska: Effect of a Changing Disturbance Regime on a Regional Macrosystem ,RCN| Greenhouse gases in the North: from local to regional scale ,NWO| Stability of carbon pools in far east Siberia ,NSF| Methane loss from Arctic: towards an annual budget of CH4 emissions from tundra ecosystems across a latitudinal gradient ,EC| GREENCYCLESIIAuthors: Birger Ulf Hansen; Marcin Jackowicz-Korczynski; Torsten Sachs; Peter M. Lafleur; +16 AuthorsBirger Ulf Hansen; Marcin Jackowicz-Korczynski; Torsten Sachs; Peter M. Lafleur; Torben R. Christensen; Torben R. Christensen; Walter C. Oechel; Lars Kutzbach; Adrian V. Rocha; Werner Eugster; Magnus Lund; M. K. van der Molen; Mika Aurela; Thomas Friborg; Frans-Jan W. Parmentier; Frans-Jan W. Parmentier; Elyn Humphreys; Daniel P. Rasse; Mikkel P. Tamstorf; Herbert N. Mbufong;Abstract. This paper aims to assess the spatial variability in the response of CO2 exchange to irradiance across the Arctic tundra during peak season using light response curve (LRC) parameters. This investigation allows us to better understand the future response of Arctic tundra under climatic change. Peak season data were collected during different years (between 1998 and 2010) using the micrometeorological eddy covariance technique from 12 circumpolar Arctic tundra sites, in the range of 64–74° N. The LRCs were generated for 14 days with peak net ecosystem exchange (NEE) using an NEE–irradiance model. Parameters from LRCs represent site-specific traits and characteristics describing the following: (a) NEE at light saturation (Fcsat), (b) dark respiration (Rd), (c) light use efficiency (α), (d) NEE when light is at 1000 μmol m−2 s−1 (Fc1000), (e) potential photosynthesis at light saturation (Psat) and (f) the light compensation point (LCP). Parameterization of LRCs was successful in predicting CO2 flux dynamics across the Arctic tundra. We did not find any trends in LRC parameters across the whole Arctic tundra but there were indications for temperature and latitudinal differences within sub-regions like Russia and Greenland. Together, leaf area index (LAI) and July temperature had a high explanatory power of the variance in assimilation parameters (Fcsat, Fc1000 and Psat, thus illustrating the potential for upscaling CO2 exchange for the whole Arctic tundra. Dark respiration was more variable and less correlated to environmental drivers than were assimilation parameters. This indicates the inherent need to include other parameters such as nutrient availability, substrate quantity and quality in flux monitoring activities.
GFZpublic (German Re... arrow_drop_down https://doi.org/10.5194/bgd-11...Article . 2014 . Peer-reviewedLicense: CC BYData sources: CrossrefWageningen Staff PublicationsArticle . 2014License: CC BYData sources: Wageningen Staff PublicationsUniversity of Copenhagen: ResearchArticle . 2014Data 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=10.5194/bg-11-4897-2014&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 24 citations 24 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert GFZpublic (German Re... arrow_drop_down https://doi.org/10.5194/bgd-11...Article . 2014 . Peer-reviewedLicense: CC BYData sources: CrossrefWageningen Staff PublicationsArticle . 2014License: CC BYData sources: Wageningen Staff PublicationsUniversity of Copenhagen: ResearchArticle . 2014Data 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=10.5194/bg-11-4897-2014&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2021Embargo end date: 23 Feb 2021 Switzerland, United StatesPublisher:Springer Science and Business Media LLC Funded by:NSF | Collaborative Research: ..., NSF | Belmont Forum Collaborati...NSF| Collaborative Research: Combining NEON and remotely sensed habitats to determine climate impacts on community dynamics ,NSF| Belmont Forum Collaborative Research: Scenarios of Biodiversity and Ecosystem ServiceOrrin Myers; Georges Kunstler; Jalene M. LaMontagne; James A. Lutz; Istem Fer; Jordan Luongo; Renata Poulton-Kamakura; Janneke HilleRisLambers; Yassine Messaoud; Sam Pearse; Gregory S. Gilbert; Natalie L. Cleavitt; C. D. Reid; Inés Ibáñez; Michael A. Steele; Miranda D. Redmond; Susan L. Cohen; Jerry F. Franklin; Benoît Courbaud; Don C. Bragg; Ethan Ready; C. Lane Scher; Andreas P. Wion; William H. Schlesinger; Shubhi Sharma; Robert R. Parmenter; Amanda M. Schwantes; Scott M. Pearson; Thomas G. Whitham; Thomas T. Veblen; Christopher L. Kilner; Samantha Sutton; Chase L. Nuñez; Emily V. Moran; Nathan L. Stephenson; Adrian J. Das; Jennifer J. Swenson; Cathryn H. Greenberg; Roman Zlotin; James S. Clark; James S. Clark; Walter D. Koenig; Robert A. Andrus; Amy V. Whipple; Jill F. Johnstone; Eliot J. B. McIntire; Kyle C. Rodman; Timothy J. Fahey; Erin Shanahan; Jonathan Myers; Johannes M. H. Knops; Catherine A. Gehring; Diana Macias; Qinfeng Guo; Christopher M. Moore; Michael Dietze; Mélaine Aubry-Kientz; Dale G. Brockway; Michał Bogdziewicz; Kai Zhu; Yves Bergeron; Robert Daley; Margaret Swift; Kristin Legg;pmc: PMC7902660
AbstractIndirect climate effects on tree fecundity that come through variation in size and growth (climate-condition interactions) are not currently part of models used to predict future forests. Trends in species abundances predicted from meta-analyses and species distribution models will be misleading if they depend on the conditions of individuals. Here we find from a synthesis of tree species in North America that climate-condition interactions dominate responses through two pathways, i) effects of growth that depend on climate, and ii) effects of climate that depend on tree size. Because tree fecundity first increases and then declines with size, climate change that stimulates growth promotes a shift of small trees to more fecund sizes, but the opposite can be true for large sizes. Change the depresses growth also affects fecundity. We find a biogeographic divide, with these interactions reducing fecundity in the West and increasing it in the East. Continental-scale responses of these forests are thus driven largely by indirect effects, recommending management for climate change that considers multiple demographic rates.
Nature Communication... arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41467-020-20836-3&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 59 citations 59 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Nature Communication... arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41467-020-20836-3&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2023Embargo end date: 16 Jul 2024 SwitzerlandPublisher:Copernicus GmbH Funded by:RCN | MASSIVE - MAchine learnin..., SNSF | Process-based modelling o..., +1 projectsRCN| MASSIVE - MAchine learning, Surface mass balance of glaciers, Snow cover, In-situ data, Volume change, Earth observation ,SNSF| Process-based modelling of global glacier changes (PROGGRES) ,[no funder available] ,RCN| SNOWDEPTH - Global snow depths from spaceborne remote sensing for permafrost, high-elevation precipitation, and climate reanalysesLivia Piermattei; Michael Zemp; Christian Sommer; Fanny Brun; Matthias Braun; Liss M. Andreassen; Joaquín M. C. Belart; Étienne Berthier; Atanu Bhattacharya; Laura Boehm; Tobias Bolch; Amaury Dehecq; Inès Dussaillant; Daniel Falaschi; Caitlyn Florentine; Dana Floricioiu; Christian Ginzler; Grégoire Guillet; Romain Hugonnet; Matthias Huss; Andreas Kääb; Owen King; Christoph Klug; Friedrich Knuth; Lukas Krieger; Jeff La Frenierre; Robert McNabb; Christopher McNeil; Rainer Prinz; Louis Sass; Thorsten Seehaus; David Shean; Désirée Treichler; Anja Wendt; Ruitang Yang;Abstract. Observations of glacier mass changes are key to understanding the response of glaciers to climate change and related impacts, such as regional runoff, ecosystem changes, and global sea level rise. Spaceborne optical and radar sensors make it possible to quantify glacier elevation changes, and thus multi-annual mass changes, on a regional and global scale. However, estimates from a growing number of studies show a wide range of results with differences often beyond uncertainty bounds. Here, we present the outcome of a community-based inter-comparison experiment using spaceborne optical stereo (ASTER) and synthetic aperture radar interferometry (TanDEM-X) data to estimate elevation changes for defined glaciers and target periods that pose different assessment challenges. Using provided or self-processed digital elevation models (DEMs) for five test sites, 12 research groups provided a total of 97 spaceborne elevation-change datasets using various processing approaches. Validation with airborne data showed that using an ensemble estimate is promising to reduce random errors from different instruments and processing methods but still requires a more comprehensive investigation and correction of systematic errors. We found that scene selection, DEM processing, and co-registration have the biggest impact on the results. Other processing steps, such as treating spatial data voids, differences in survey periods, or radar penetration, can still be important for individual cases. Future research should focus on testing different implementations of individual processing steps (e.g. co-registration) and addressing issues related to temporal corrections, radar penetration, glacier area changes, and density conversion. Finally, there is a clear need for our community to develop best practices, use open, reproducible software, and assess overall uncertainty to enhance inter-comparison and empower physical process insights across glacier elevation-change studies.
The Cryosphere arrow_drop_down https://doi.org/10.5194/egusph...Article . 2023 . 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/tc-18-3195-2024&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 The Cryosphere arrow_drop_down https://doi.org/10.5194/egusph...Article . 2023 . 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/tc-18-3195-2024&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Journal 2019Embargo end date: 16 Mar 2019 Japan, Germany, France, France, France, Japan, Spain, France, Switzerland, United Kingdom, NetherlandsPublisher:Springer Science and Business Media LLC Funded by:EC | HELIX, EC | IMPACT2CEC| HELIX ,EC| IMPACT2CJeroen Steenbeek; Erwin Schmid; Tyler D. Eddy; Tyler D. Eddy; Tyler D. Eddy; Derek P. Tittensor; Derek P. Tittensor; Rene Orth; Rene Orth; Yadu Pokhrel; Joshua Elliott; Yusuke Satoh; Yusuke Satoh; Christian Folberth; Louis François; Andrew D. Friend; Catherine Morfopoulos; Nikolay Khabarov; Peter Lawrence; Naota Hanasaki; Michelle T. H. van Vliet; Akihiko Ito; Sonia I. Seneviratne; Veronika Huber; Thomas A. M. Pugh; Jinfeng Chang; Tobias Stacke; Philippe Ciais; Lila Warszawski; Jan Volkholz; Matthias Büchner; Yoshihide Wada; Christopher P. O. Reyer; Xuhui Wang; Xuhui Wang; Xuhui Wang; Dieter Gerten; Dieter Gerten; Sebastian Ostberg; Qiuhong Tang; Gen Sakurai; David A. Carozza; David A. Carozza; Christoph Müller; Jacob Schewe; Lutz Breuer; Delphine Deryng; Heike K. Lotze; Hannes Müller Schmied; Robert Vautard; Hyungjun Kim; Fang Zhao; Allard de Wit; Jörg Steinkamp; Katja Frieler; Simon N. Gosling; Lukas Gudmundsson; Marta Coll; Hanqin Tian;doi: 10.1038/s41467-019-08745-6 , 10.17863/cam.37807 , 10.60692/8dj48-81382 , 10.3929/ethz-b-000330244 , 10.60692/8mcvk-e7225
pmid: 30824763
pmc: PMC6397256
handle: 10261/181642
doi: 10.1038/s41467-019-08745-6 , 10.17863/cam.37807 , 10.60692/8dj48-81382 , 10.3929/ethz-b-000330244 , 10.60692/8mcvk-e7225
pmid: 30824763
pmc: PMC6397256
handle: 10261/181642
AbstractGlobal impact models represent process-level understanding of how natural and human systems may be affected by climate change. Their projections are used in integrated assessments of climate change. Here we test, for the first time, systematically across many important systems, how well such impact models capture the impacts of extreme climate conditions. Using the 2003 European heat wave and drought as a historical analogue for comparable events in the future, we find that a majority of models underestimate the extremeness of impacts in important sectors such as agriculture, terrestrial ecosystems, and heat-related human mortality, while impacts on water resources and hydropower are overestimated in some river basins; and the spread across models is often large. This has important implications for economic assessments of climate change impacts that rely on these models. It also means that societal risks from future extreme events may be greater than previously thought.
Hyper Article en Lig... arrow_drop_down Université Jean Monnet – Saint-Etienne: HALArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)École Polytechnique, Université Paris-Saclay: HALArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2019License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2019 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAWageningen Staff PublicationsArticle . 2019License: CC BYData sources: Wageningen Staff PublicationsHochschulschriftenserver - Universität Frankfurt am MainArticle . 2019Data sources: Hochschulschriftenserver - Universität Frankfurt am MainPublication Server of Goethe University Frankfurt am MainArticle . 2019License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41467-019-08745-6&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 186 citations 186 popularity Top 1% influence Top 10% impulse Top 0.1% Powered by BIP!
more_vert Hyper Article en Lig... arrow_drop_down Université Jean Monnet – Saint-Etienne: HALArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)École Polytechnique, Université Paris-Saclay: HALArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2019License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2019 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAWageningen Staff PublicationsArticle . 2019License: CC BYData sources: Wageningen Staff PublicationsHochschulschriftenserver - Universität Frankfurt am MainArticle . 2019Data sources: Hochschulschriftenserver - Universität Frankfurt am MainPublication Server of Goethe University Frankfurt am MainArticle . 2019License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41467-019-08745-6&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023Embargo end date: 21 Mar 2023 SwitzerlandPublisher:Proceedings of the National Academy of Sciences Funded by:NSF | Collaborative Research: ..., NSF | The Arctic Great Rivers O..., NSF | Collaborative Research: A... +1 projectsNSF| Collaborative Research: AON: The Arctic Great Rivers Observatory (ArcticGRO) ,NSF| The Arctic Great Rivers Observatory (Arctic-GRO) ,NSF| Collaborative Research: AON: The Arctic Great Rivers Observatory (ArcticGRO) ,NSF| Collaborative Research: AON: The Arctic Great Rivers Observatory (ArcticGRO)Megan I. Behnke; Suzanne E. Tank; James W. McClelland; Robert M. Holmes; Negar Haghipour; Timothy I. Eglinton; Peter A. Raymond; Anya Suslova; Alexander V. Zhulidov; Tatiana Gurtovaya; Nikita Zimov; Sergey Zimov; Edda A. Mutter; Edwin Amos; Robert G. M. Spencer;Arctic rivers provide an integrated signature of the changing landscape and transmit signals of change to the ocean. Here, we use a decade of particulate organic matter (POM) compositional data to deconvolute multiple allochthonous and autochthonous pan-Arctic and watershed-specific sources. Constraints from carbon-to-nitrogen ratios (C:N), δ 13 C, and Δ 14 C signatures reveal a large, hitherto overlooked contribution from aquatic biomass. Separation in Δ 14 C age is enhanced by splitting soil sources into shallow and deep pools (mean ± SD: −228 ± 211 vs. −492 ± 173‰) rather than traditional active layer and permafrost pools (−300 ± 236 vs. −441 ± 215‰) that do not represent permafrost-free Arctic regions. We estimate that 39 to 60% (5 to 95% credible interval) of the annual pan-Arctic POM flux (averaging 4,391 Gg/y particulate organic carbon from 2012 to 2019) comes from aquatic biomass. The remainder is sourced from yedoma, deep soils, shallow soils, petrogenic inputs, and fresh terrestrial production. Climate change-induced warming and increasing CO 2 concentrations may enhance both soil destabilization and Arctic river aquatic biomass production, increasing fluxes of POM to the ocean. Younger, autochthonous, and older soil-derived POM likely have different destinies (preferential microbial uptake and processing vs. significant sediment burial, respectively). A small (~7%) increase in aquatic biomass POM flux with warming would be equivalent to a ~30% increase in deep soil POM flux. There is a clear need to better quantify how the balance of endmember fluxes may shift with different ramifications for different endmembers and how this will impact the Arctic system.
Proceedings of the N... arrow_drop_down Proceedings of the National Academy of SciencesArticle . 2023 . Peer-reviewedLicense: CC BY NC NDData 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=10.1073/pnas.2209883120&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 12 citations 12 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Proceedings of the N... arrow_drop_down Proceedings of the National Academy of SciencesArticle . 2023 . Peer-reviewedLicense: CC BY NC NDData 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=10.1073/pnas.2209883120&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2018Embargo end date: 12 Jun 2018 Germany, United Kingdom, United Kingdom, United Kingdom, SwitzerlandPublisher:IOP Publishing Yadu Pokhrel; Yusuke Satoh; Dieter Gerten; Dieter Gerten; Guoyong Leng; Taikan Oki; Taikan Oki; Ingjerd Haddeland; Jamal Zaherpour; Ted Veldkamp; Ted Veldkamp; Nick J. Mount; Yoshimitsu Masaki; Rutger Dankers; Jacob Schewe; Naota Hanasaki; Hyungjun Kim; Yoshihide Wada; Junguo Liu; Stephanie Eisner; Lukas Gudmundsson; Simon N. Gosling; Hannes Müller Schmied;Global-scale hydrological models are routinely used to assess water scarcity, flood hazards and droughts worldwide. Recent efforts to incorporate anthropogenic activities in these models have enabled more realistic comparisons with observations. Here we evaluate simulations from an ensemble of six models participating in the second phase of the Inter-Sectoral Impact Model Inter-comparison Project (ISIMIP2a). We simulate monthly runoff in 40 catchments, spatially distributed across eight global hydrobelts. The performance of each model and the ensemble mean is examined with respect to their ability to replicate observed mean and extreme runoff under human-influenced conditions. Application of a novel integrated evaluation metric to quantify the models' ability to simulate timeseries of monthly runoff suggests that the models generally perform better in the wetter equatorial and northern hydrobelts than in drier southern hydrobelts. When model outputs are temporally aggregated to assess mean annual and extreme runoff, the models perform better. Nevertheless, we find a general trend in the majority of models towards the overestimation of mean annual runoff and all indicators of upper and lower extreme runoff. The models struggle to capture the timing of the seasonal cycle, particularly in northern hydrobelts, while in southern hydrobelts the models struggle to reproduce the magnitude of the seasonal cycle. It is noteworthy that over all hydrological indicators, the ensemble mean fails to perform better than any individual model—a finding that challenges the commonly held perception that model ensemble estimates deliver superior performance over individual models. The study highlights the need for continued model development and improvement. It also suggests that caution should be taken when summarising the simulations from a model ensemble based upon its mean output. Environmental Research Letters, 13 (6) ISSN:1748-9326 ISSN:1748-9318
Nottingham Research ... arrow_drop_down Nottingham Research RepositoryArticle . 2018License: CC BYData sources: CORE (RIOXX-UK Aggregator)IIASA DAREArticle . 2018License: CC BYFull-Text: http://pure.iiasa.ac.at/id/eprint/15398/1/Zaherpour_2018_Environ._Res._Lett._13_065015.pdfData sources: Bielefeld Academic Search Engine (BASE)Environmental Research LettersArticle . 2018Data sources: DANS (Data Archiving and Networked Services)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/aac547&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 93 citations 93 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
visibility 1visibility views 1 download downloads 11 Powered bymore_vert Nottingham Research ... arrow_drop_down Nottingham Research RepositoryArticle . 2018License: CC BYData sources: CORE (RIOXX-UK Aggregator)IIASA DAREArticle . 2018License: CC BYFull-Text: http://pure.iiasa.ac.at/id/eprint/15398/1/Zaherpour_2018_Environ._Res._Lett._13_065015.pdfData sources: Bielefeld Academic Search Engine (BASE)Environmental Research LettersArticle . 2018Data sources: DANS (Data Archiving and Networked Services)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/aac547&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2017Embargo end date: 01 Jan 2018 United States, SwitzerlandPublisher:Wiley Guowei Liu; Johannes Pfeifer; Rita de Brito Francisco; Aurelia Emonet; Marina Stirnemann; Christian Gübeli; Olivier Hutter; Joëlle Sasse; Christian Mattheyer; Ernst Stelzer; Achim Walter; Enrico Martinoia; Lorenzo Borghi;Summary Strigolactones (SLs) are carotenoid‐derived phytohormones shaping plant architecture and inducing the symbiosis with endomycorrhizal fungi. In Petunia hybrida, SL transport within the plant and towards the rhizosphere is driven by the ABCG‐class protein PDR1. PDR1 expression is regulated by phytohormones and by the soil phosphate abundance, and thus SL transport integrates plant development with nutrient conditions. We overexpressed PDR1 (PDR1 OE) to investigate whether increased endogenous SL transport is sufficient to improve plant nutrition and productivity. Phosphorus quantification and nondestructive X‐ray computed tomography were applied. Morphological and gene expression changes were quantified at cellular and whole tissue levels via time‐lapse microscopy and quantitative PCR. PDR1 OE significantly enhanced phosphate uptake and plant biomass production on phosphate‐poor soils. PDR1 OE plants showed increased lateral root formation, extended root hair elongation, faster mycorrhization and reduced leaf senescence. PDR1 overexpression allowed considerable SL biosynthesis by releasing SL biosynthetic genes from an SL‐dependent negative feedback. The increased endogenous SL transport/biosynthesis in PDR1 OE plants is a powerful tool to improve plant growth on phosphate‐poor soils. We propose PDR1 as an as yet unexplored trait to be investigated for crop production. The overexpression of PDR1 is a valuable strategy to investigate SL functions and transport routes.
New Phytologist arrow_drop_down eScholarship - University of CaliforniaArticle . 2018Data sources: eScholarship - University of Californiaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/nph.14847&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 50 citations 50 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert New Phytologist arrow_drop_down eScholarship - University of CaliforniaArticle . 2018Data sources: eScholarship - University of Californiaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/nph.14847&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Journal 2021Embargo end date: 02 Mar 2021 France, Germany, Switzerland, FrancePublisher:Copernicus GmbH Funded by:SNSF | Robust models for assessi..., EC | GHG EUROPE, SNSF | Buffer-Capacity-based Liv...SNSF| Robust models for assessing the effectiveness of technologies and managements to reduce N2O emissions from grazed pastures (Models4Pastures) ,EC| GHG EUROPE ,SNSF| Buffer-Capacity-based Livelihood Resilience to Stressors - an Early Warning Tool and its Application in Makueni County, KenyaL. Merbold; L. Merbold; L. Merbold; C. Decock; C. Decock; W. Eugster; K. Fuchs; B. Wolf; N. Buchmann; L. Hörtnagl;Abstract. A 5-year greenhouse gas (GHG) exchange study of the three major gas species (CO2, CH4 and N2O) from an intensively managed permanent grassland in Switzerland is presented. Measurements comprise 2 years (2010 and 2011) of manual static chamber measurements of CH4 and N2O, 5 years of continuous eddy covariance (EC) measurements (CO2–H2O – 2010–2014), and 3 years (2012–2014) of EC measurement of CH4 and N2O. Intensive grassland management included both regular and sporadic management activities. Regular management practices encompassed mowing (three to five cuts per year) with subsequent organic fertilizer amendments and occasional grazing, whereas sporadic management activities comprised grazing or similar activities. The primary objective of our measurements was to compare pre-plowing to post-plowing GHG exchange and to identify potential memory effects of such a substantial disturbance on GHG exchange and carbon (C) and nitrogen (N) gains and losses. In order to include measurements carried out with different observation techniques, we tested two different measurement techniques jointly in 2013, namely the manual static chamber approach and the eddy covariance technique for N2O, to quantify the GHG exchange from the observed grassland site. Our results showed that there were no memory effects on N2O and CH4 emissions after plowing, whereas the CO2 uptake of the site considerably increased when compared to pre-restoration years. In detail, we observed large losses of CO2 and N2O during the year of restoration. In contrast, the grassland acted as a carbon sink under usual management, i.e., the time periods 2010–2011 and 2013–2014. Enhanced emissions and emission peaks of N2O (defined as exceeding background emissions 0.21 ± 0.55 nmol m−2 s−1 (SE = 0.02) for at least 2 sequential days and the 7 d moving average exceeding background emissions) were observed for almost 7 continuous months after restoration as well as following organic fertilizer applications during all years. Net ecosystem exchange of CO2 (NEECO2) showed a common pattern of increased uptake of CO2 in spring and reduced uptake in late fall. NEECO2 dropped to zero and became positive after each harvest event. Methane (CH4) exchange fluctuated around zero during all years. Overall, CH4 exchange was of negligible importance for both the GHG budget and the carbon budget of the site. Our results stress the inclusion of grassland restoration events when providing cumulative sums of C sequestration potential and/or global warming potential (GWP). Consequently, this study further highlights the need for continuous long-term GHG exchange observations as well as for the implementation of our findings into biogeochemical process models to track potential GHG mitigation objectives as well as to predict future GHG emission scenarios reliably.
KITopen (Karlsruhe I... arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2023License: CC BYFull-Text: https://hdl.handle.net/10568/129339Data 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=10.5194/bg-18-1481-2021&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu13 citations 13 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert KITopen (Karlsruhe I... arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2023License: CC BYFull-Text: https://hdl.handle.net/10568/129339Data 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=10.5194/bg-18-1481-2021&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2021Embargo end date: 27 Apr 2021 SwitzerlandPublisher:IOP Publishing Funded by:NSERCNSERCKayla D Stan; Arturo Sanchez-Azofeifa; Sandra M Duran; J Antonio Guzman Q; Michael Hesketh; Kati Laakso; Carlos Portillo-Quintero; Cassidy Rankine; Sebastian Doetterl;Abstract Tropical dry forests (TDFs) worldwide have an environment-sensitive phenological signal, which easily marks their response to the changing climatic conditions, especially precipitation and temperature. Using TDF phenological characteristics as a proxy, this study aims to evaluate their current continental response to climate change across the Americas. Here, we show that TDFs are resilient to water stress and droughts by increasing their rain use efficiency (RUE) in drier years and recovering to average RUE in the year following the drought. Additionally, we find that TDF productivity trends over the past 18 years are spatially clustered, with sites in the northern hemisphere experiencing increased productivity, while equatorial regions have no change, and the southern hemisphere exhibiting decreased productivity. The results indicate that the TDF will be resilient under future climatic conditions, particularly if there are increasing drought conditions.
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/abf6f3&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 8 citations 8 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/abf6f3&type=result"></script>'); --> </script>
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description Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2016Embargo end date: 01 Oct 2016 SwitzerlandPublisher:Elsevier BV Authors: Klaus, Valentin; id_orcid0000-0002-7469-6800; Hölzel, Norbert; Prati, Daniel; Schmitt, Barbara; +6 AuthorsKlaus, Valentin; id_orcid0000-0002-7469-6800; Hölzel, Norbert; Prati, Daniel; Schmitt, Barbara; Schöning, Ingo; Schrumpf, Marion; Solly, Emily F.; Hänsel, Falk; Fischer, Markus; Kleinebecker, Till;Land-use change and intensification play a key role in the current biodiversity crisis. The resulting species loss can have severe effects on ecosystem functions and services, thereby increasing ecosystem vulnerability to climate change. We explored whether land-use intensification (i.e. fertilization intensity), plant diversity and other potentially confounding environmental factors may be significantly related to water use (i.e. drought stress) of grassland plants. Drought stress was assessed using δ13C abundances in aboveground plant biomass of 150 grassland plots across a gradient of land-use intensity. Under water shortage, plants are forced to increasingly take up the heavier 13C due to closing stomata leading to an enrichment of 13C in biomass. Plants were sampled at the community level and for single species, which belong to three different functional groups (one grass, one herb, two legumes). Results show that plant diversity was significantly related to the δ13C signal in community, grass and legume biomass indicating that drought stress was lower under higher diversity, although this relation was not significant for the herb species under study. Fertilization, in turn, mostly increased drought stress as indicated by more positive δ13C values. This effect was mostly indirect by decreasing plant diversity. In line with these results, we found similar patterns in the δ13C signal of the organic matter in the topsoil, indicating a long history of these processes. Our study provided strong indication for a positive biodiversity-ecosystem functioning relationship with reduced drought stress at higher plant diversity. However, it also underlined a negative reinforcing situation: as land-use intensification decreases plant diversity in grasslands, this might subsequently increases drought sensitivity. Vice-versa, enhancing plant diversity in species-poor agricultural grasslands may moderate negative effects of future climate change.
The Science of The T... arrow_drop_down The Science of The Total EnvironmentArticle . 2016 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.scitotenv.2016.05.008&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 37 citations 37 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert The Science of The T... arrow_drop_down The Science of The Total EnvironmentArticle . 2016 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.scitotenv.2016.05.008&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2014Embargo end date: 01 Jan 2014 Switzerland, Germany, Netherlands, DenmarkPublisher:Copernicus GmbH Funded by:NSERC, NSF | BE/CBC: Biocomplexity Ass..., NSF | Fire in Northern Alaska: ... +4 projectsNSERC ,NSF| BE/CBC: Biocomplexity Associated with the Response of Tundra Carbon Balance to Warming and Drying Across Multiple Spatial and Temporal Scales ,NSF| Fire in Northern Alaska: Effect of a Changing Disturbance Regime on a Regional Macrosystem ,RCN| Greenhouse gases in the North: from local to regional scale ,NWO| Stability of carbon pools in far east Siberia ,NSF| Methane loss from Arctic: towards an annual budget of CH4 emissions from tundra ecosystems across a latitudinal gradient ,EC| GREENCYCLESIIAuthors: Birger Ulf Hansen; Marcin Jackowicz-Korczynski; Torsten Sachs; Peter M. Lafleur; +16 AuthorsBirger Ulf Hansen; Marcin Jackowicz-Korczynski; Torsten Sachs; Peter M. Lafleur; Torben R. Christensen; Torben R. Christensen; Walter C. Oechel; Lars Kutzbach; Adrian V. Rocha; Werner Eugster; Magnus Lund; M. K. van der Molen; Mika Aurela; Thomas Friborg; Frans-Jan W. Parmentier; Frans-Jan W. Parmentier; Elyn Humphreys; Daniel P. Rasse; Mikkel P. Tamstorf; Herbert N. Mbufong;Abstract. This paper aims to assess the spatial variability in the response of CO2 exchange to irradiance across the Arctic tundra during peak season using light response curve (LRC) parameters. This investigation allows us to better understand the future response of Arctic tundra under climatic change. Peak season data were collected during different years (between 1998 and 2010) using the micrometeorological eddy covariance technique from 12 circumpolar Arctic tundra sites, in the range of 64–74° N. The LRCs were generated for 14 days with peak net ecosystem exchange (NEE) using an NEE–irradiance model. Parameters from LRCs represent site-specific traits and characteristics describing the following: (a) NEE at light saturation (Fcsat), (b) dark respiration (Rd), (c) light use efficiency (α), (d) NEE when light is at 1000 μmol m−2 s−1 (Fc1000), (e) potential photosynthesis at light saturation (Psat) and (f) the light compensation point (LCP). Parameterization of LRCs was successful in predicting CO2 flux dynamics across the Arctic tundra. We did not find any trends in LRC parameters across the whole Arctic tundra but there were indications for temperature and latitudinal differences within sub-regions like Russia and Greenland. Together, leaf area index (LAI) and July temperature had a high explanatory power of the variance in assimilation parameters (Fcsat, Fc1000 and Psat, thus illustrating the potential for upscaling CO2 exchange for the whole Arctic tundra. Dark respiration was more variable and less correlated to environmental drivers than were assimilation parameters. This indicates the inherent need to include other parameters such as nutrient availability, substrate quantity and quality in flux monitoring activities.
GFZpublic (German Re... arrow_drop_down https://doi.org/10.5194/bgd-11...Article . 2014 . Peer-reviewedLicense: CC BYData sources: CrossrefWageningen Staff PublicationsArticle . 2014License: CC BYData sources: Wageningen Staff PublicationsUniversity of Copenhagen: ResearchArticle . 2014Data 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=10.5194/bg-11-4897-2014&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 24 citations 24 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert GFZpublic (German Re... arrow_drop_down https://doi.org/10.5194/bgd-11...Article . 2014 . Peer-reviewedLicense: CC BYData sources: CrossrefWageningen Staff PublicationsArticle . 2014License: CC BYData sources: Wageningen Staff PublicationsUniversity of Copenhagen: ResearchArticle . 2014Data 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=10.5194/bg-11-4897-2014&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2021Embargo end date: 23 Feb 2021 Switzerland, United StatesPublisher:Springer Science and Business Media LLC Funded by:NSF | Collaborative Research: ..., NSF | Belmont Forum Collaborati...NSF| Collaborative Research: Combining NEON and remotely sensed habitats to determine climate impacts on community dynamics ,NSF| Belmont Forum Collaborative Research: Scenarios of Biodiversity and Ecosystem ServiceOrrin Myers; Georges Kunstler; Jalene M. LaMontagne; James A. Lutz; Istem Fer; Jordan Luongo; Renata Poulton-Kamakura; Janneke HilleRisLambers; Yassine Messaoud; Sam Pearse; Gregory S. Gilbert; Natalie L. Cleavitt; C. D. Reid; Inés Ibáñez; Michael A. Steele; Miranda D. Redmond; Susan L. Cohen; Jerry F. Franklin; Benoît Courbaud; Don C. Bragg; Ethan Ready; C. Lane Scher; Andreas P. Wion; William H. Schlesinger; Shubhi Sharma; Robert R. Parmenter; Amanda M. Schwantes; Scott M. Pearson; Thomas G. Whitham; Thomas T. Veblen; Christopher L. Kilner; Samantha Sutton; Chase L. Nuñez; Emily V. Moran; Nathan L. Stephenson; Adrian J. Das; Jennifer J. Swenson; Cathryn H. Greenberg; Roman Zlotin; James S. Clark; James S. Clark; Walter D. Koenig; Robert A. Andrus; Amy V. Whipple; Jill F. Johnstone; Eliot J. B. McIntire; Kyle C. Rodman; Timothy J. Fahey; Erin Shanahan; Jonathan Myers; Johannes M. H. Knops; Catherine A. Gehring; Diana Macias; Qinfeng Guo; Christopher M. Moore; Michael Dietze; Mélaine Aubry-Kientz; Dale G. Brockway; Michał Bogdziewicz; Kai Zhu; Yves Bergeron; Robert Daley; Margaret Swift; Kristin Legg;pmc: PMC7902660
AbstractIndirect climate effects on tree fecundity that come through variation in size and growth (climate-condition interactions) are not currently part of models used to predict future forests. Trends in species abundances predicted from meta-analyses and species distribution models will be misleading if they depend on the conditions of individuals. Here we find from a synthesis of tree species in North America that climate-condition interactions dominate responses through two pathways, i) effects of growth that depend on climate, and ii) effects of climate that depend on tree size. Because tree fecundity first increases and then declines with size, climate change that stimulates growth promotes a shift of small trees to more fecund sizes, but the opposite can be true for large sizes. Change the depresses growth also affects fecundity. We find a biogeographic divide, with these interactions reducing fecundity in the West and increasing it in the East. Continental-scale responses of these forests are thus driven largely by indirect effects, recommending management for climate change that considers multiple demographic rates.
Nature Communication... arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41467-020-20836-3&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 59 citations 59 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Nature Communication... arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41467-020-20836-3&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2023Embargo end date: 16 Jul 2024 SwitzerlandPublisher:Copernicus GmbH Funded by:RCN | MASSIVE - MAchine learnin..., SNSF | Process-based modelling o..., +1 projectsRCN| MASSIVE - MAchine learning, Surface mass balance of glaciers, Snow cover, In-situ data, Volume change, Earth observation ,SNSF| Process-based modelling of global glacier changes (PROGGRES) ,[no funder available] ,RCN| SNOWDEPTH - Global snow depths from spaceborne remote sensing for permafrost, high-elevation precipitation, and climate reanalysesLivia Piermattei; Michael Zemp; Christian Sommer; Fanny Brun; Matthias Braun; Liss M. Andreassen; Joaquín M. C. Belart; Étienne Berthier; Atanu Bhattacharya; Laura Boehm; Tobias Bolch; Amaury Dehecq; Inès Dussaillant; Daniel Falaschi; Caitlyn Florentine; Dana Floricioiu; Christian Ginzler; Grégoire Guillet; Romain Hugonnet; Matthias Huss; Andreas Kääb; Owen King; Christoph Klug; Friedrich Knuth; Lukas Krieger; Jeff La Frenierre; Robert McNabb; Christopher McNeil; Rainer Prinz; Louis Sass; Thorsten Seehaus; David Shean; Désirée Treichler; Anja Wendt; Ruitang Yang;Abstract. Observations of glacier mass changes are key to understanding the response of glaciers to climate change and related impacts, such as regional runoff, ecosystem changes, and global sea level rise. Spaceborne optical and radar sensors make it possible to quantify glacier elevation changes, and thus multi-annual mass changes, on a regional and global scale. However, estimates from a growing number of studies show a wide range of results with differences often beyond uncertainty bounds. Here, we present the outcome of a community-based inter-comparison experiment using spaceborne optical stereo (ASTER) and synthetic aperture radar interferometry (TanDEM-X) data to estimate elevation changes for defined glaciers and target periods that pose different assessment challenges. Using provided or self-processed digital elevation models (DEMs) for five test sites, 12 research groups provided a total of 97 spaceborne elevation-change datasets using various processing approaches. Validation with airborne data showed that using an ensemble estimate is promising to reduce random errors from different instruments and processing methods but still requires a more comprehensive investigation and correction of systematic errors. We found that scene selection, DEM processing, and co-registration have the biggest impact on the results. Other processing steps, such as treating spatial data voids, differences in survey periods, or radar penetration, can still be important for individual cases. Future research should focus on testing different implementations of individual processing steps (e.g. co-registration) and addressing issues related to temporal corrections, radar penetration, glacier area changes, and density conversion. Finally, there is a clear need for our community to develop best practices, use open, reproducible software, and assess overall uncertainty to enhance inter-comparison and empower physical process insights across glacier elevation-change studies.
The Cryosphere arrow_drop_down https://doi.org/10.5194/egusph...Article . 2023 . 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/tc-18-3195-2024&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 The Cryosphere arrow_drop_down https://doi.org/10.5194/egusph...Article . 2023 . 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/tc-18-3195-2024&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Journal 2019Embargo end date: 16 Mar 2019 Japan, Germany, France, France, France, Japan, Spain, France, Switzerland, United Kingdom, NetherlandsPublisher:Springer Science and Business Media LLC Funded by:EC | HELIX, EC | IMPACT2CEC| HELIX ,EC| IMPACT2CJeroen Steenbeek; Erwin Schmid; Tyler D. Eddy; Tyler D. Eddy; Tyler D. Eddy; Derek P. Tittensor; Derek P. Tittensor; Rene Orth; Rene Orth; Yadu Pokhrel; Joshua Elliott; Yusuke Satoh; Yusuke Satoh; Christian Folberth; Louis François; Andrew D. Friend; Catherine Morfopoulos; Nikolay Khabarov; Peter Lawrence; Naota Hanasaki; Michelle T. H. van Vliet; Akihiko Ito; Sonia I. Seneviratne; Veronika Huber; Thomas A. M. Pugh; Jinfeng Chang; Tobias Stacke; Philippe Ciais; Lila Warszawski; Jan Volkholz; Matthias Büchner; Yoshihide Wada; Christopher P. O. Reyer; Xuhui Wang; Xuhui Wang; Xuhui Wang; Dieter Gerten; Dieter Gerten; Sebastian Ostberg; Qiuhong Tang; Gen Sakurai; David A. Carozza; David A. Carozza; Christoph Müller; Jacob Schewe; Lutz Breuer; Delphine Deryng; Heike K. Lotze; Hannes Müller Schmied; Robert Vautard; Hyungjun Kim; Fang Zhao; Allard de Wit; Jörg Steinkamp; Katja Frieler; Simon N. Gosling; Lukas Gudmundsson; Marta Coll; Hanqin Tian;doi: 10.1038/s41467-019-08745-6 , 10.17863/cam.37807 , 10.60692/8dj48-81382 , 10.3929/ethz-b-000330244 , 10.60692/8mcvk-e7225
pmid: 30824763
pmc: PMC6397256
handle: 10261/181642
doi: 10.1038/s41467-019-08745-6 , 10.17863/cam.37807 , 10.60692/8dj48-81382 , 10.3929/ethz-b-000330244 , 10.60692/8mcvk-e7225
pmid: 30824763
pmc: PMC6397256
handle: 10261/181642
AbstractGlobal impact models represent process-level understanding of how natural and human systems may be affected by climate change. Their projections are used in integrated assessments of climate change. Here we test, for the first time, systematically across many important systems, how well such impact models capture the impacts of extreme climate conditions. Using the 2003 European heat wave and drought as a historical analogue for comparable events in the future, we find that a majority of models underestimate the extremeness of impacts in important sectors such as agriculture, terrestrial ecosystems, and heat-related human mortality, while impacts on water resources and hydropower are overestimated in some river basins; and the spread across models is often large. This has important implications for economic assessments of climate change impacts that rely on these models. It also means that societal risks from future extreme events may be greater than previously thought.
Hyper Article en Lig... arrow_drop_down Université Jean Monnet – Saint-Etienne: HALArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)École Polytechnique, Université Paris-Saclay: HALArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2019License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2019 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAWageningen Staff PublicationsArticle . 2019License: CC BYData sources: Wageningen Staff PublicationsHochschulschriftenserver - Universität Frankfurt am MainArticle . 2019Data sources: Hochschulschriftenserver - Universität Frankfurt am MainPublication Server of Goethe University Frankfurt am MainArticle . 2019License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41467-019-08745-6&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 186 citations 186 popularity Top 1% influence Top 10% impulse Top 0.1% Powered by BIP!
more_vert Hyper Article en Lig... arrow_drop_down Université Jean Monnet – Saint-Etienne: HALArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)École Polytechnique, Université Paris-Saclay: HALArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2019License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2019Full-Text: https://hal.science/hal-02895259Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2019 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAWageningen Staff PublicationsArticle . 2019License: CC BYData sources: Wageningen Staff PublicationsHochschulschriftenserver - Universität Frankfurt am MainArticle . 2019Data sources: Hochschulschriftenserver - Universität Frankfurt am MainPublication Server of Goethe University Frankfurt am MainArticle . 2019License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41467-019-08745-6&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023Embargo end date: 21 Mar 2023 SwitzerlandPublisher:Proceedings of the National Academy of Sciences Funded by:NSF | Collaborative Research: ..., NSF | The Arctic Great Rivers O..., NSF | Collaborative Research: A... +1 projectsNSF| Collaborative Research: AON: The Arctic Great Rivers Observatory (ArcticGRO) ,NSF| The Arctic Great Rivers Observatory (Arctic-GRO) ,NSF| Collaborative Research: AON: The Arctic Great Rivers Observatory (ArcticGRO) ,NSF| Collaborative Research: AON: The Arctic Great Rivers Observatory (ArcticGRO)Megan I. Behnke; Suzanne E. Tank; James W. McClelland; Robert M. Holmes; Negar Haghipour; Timothy I. Eglinton; Peter A. Raymond; Anya Suslova; Alexander V. Zhulidov; Tatiana Gurtovaya; Nikita Zimov; Sergey Zimov; Edda A. Mutter; Edwin Amos; Robert G. M. Spencer;Arctic rivers provide an integrated signature of the changing landscape and transmit signals of change to the ocean. Here, we use a decade of particulate organic matter (POM) compositional data to deconvolute multiple allochthonous and autochthonous pan-Arctic and watershed-specific sources. Constraints from carbon-to-nitrogen ratios (C:N), δ 13 C, and Δ 14 C signatures reveal a large, hitherto overlooked contribution from aquatic biomass. Separation in Δ 14 C age is enhanced by splitting soil sources into shallow and deep pools (mean ± SD: −228 ± 211 vs. −492 ± 173‰) rather than traditional active layer and permafrost pools (−300 ± 236 vs. −441 ± 215‰) that do not represent permafrost-free Arctic regions. We estimate that 39 to 60% (5 to 95% credible interval) of the annual pan-Arctic POM flux (averaging 4,391 Gg/y particulate organic carbon from 2012 to 2019) comes from aquatic biomass. The remainder is sourced from yedoma, deep soils, shallow soils, petrogenic inputs, and fresh terrestrial production. Climate change-induced warming and increasing CO 2 concentrations may enhance both soil destabilization and Arctic river aquatic biomass production, increasing fluxes of POM to the ocean. Younger, autochthonous, and older soil-derived POM likely have different destinies (preferential microbial uptake and processing vs. significant sediment burial, respectively). A small (~7%) increase in aquatic biomass POM flux with warming would be equivalent to a ~30% increase in deep soil POM flux. There is a clear need to better quantify how the balance of endmember fluxes may shift with different ramifications for different endmembers and how this will impact the Arctic system.
Proceedings of the N... arrow_drop_down Proceedings of the National Academy of SciencesArticle . 2023 . Peer-reviewedLicense: CC BY NC NDData 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=10.1073/pnas.2209883120&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 12 citations 12 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Proceedings of the N... arrow_drop_down Proceedings of the National Academy of SciencesArticle . 2023 . Peer-reviewedLicense: CC BY NC NDData 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=10.1073/pnas.2209883120&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2018Embargo end date: 12 Jun 2018 Germany, United Kingdom, United Kingdom, United Kingdom, SwitzerlandPublisher:IOP Publishing Yadu Pokhrel; Yusuke Satoh; Dieter Gerten; Dieter Gerten; Guoyong Leng; Taikan Oki; Taikan Oki; Ingjerd Haddeland; Jamal Zaherpour; Ted Veldkamp; Ted Veldkamp; Nick J. Mount; Yoshimitsu Masaki; Rutger Dankers; Jacob Schewe; Naota Hanasaki; Hyungjun Kim; Yoshihide Wada; Junguo Liu; Stephanie Eisner; Lukas Gudmundsson; Simon N. Gosling; Hannes Müller Schmied;Global-scale hydrological models are routinely used to assess water scarcity, flood hazards and droughts worldwide. Recent efforts to incorporate anthropogenic activities in these models have enabled more realistic comparisons with observations. Here we evaluate simulations from an ensemble of six models participating in the second phase of the Inter-Sectoral Impact Model Inter-comparison Project (ISIMIP2a). We simulate monthly runoff in 40 catchments, spatially distributed across eight global hydrobelts. The performance of each model and the ensemble mean is examined with respect to their ability to replicate observed mean and extreme runoff under human-influenced conditions. Application of a novel integrated evaluation metric to quantify the models' ability to simulate timeseries of monthly runoff suggests that the models generally perform better in the wetter equatorial and northern hydrobelts than in drier southern hydrobelts. When model outputs are temporally aggregated to assess mean annual and extreme runoff, the models perform better. Nevertheless, we find a general trend in the majority of models towards the overestimation of mean annual runoff and all indicators of upper and lower extreme runoff. The models struggle to capture the timing of the seasonal cycle, particularly in northern hydrobelts, while in southern hydrobelts the models struggle to reproduce the magnitude of the seasonal cycle. It is noteworthy that over all hydrological indicators, the ensemble mean fails to perform better than any individual model—a finding that challenges the commonly held perception that model ensemble estimates deliver superior performance over individual models. The study highlights the need for continued model development and improvement. It also suggests that caution should be taken when summarising the simulations from a model ensemble based upon its mean output. Environmental Research Letters, 13 (6) ISSN:1748-9326 ISSN:1748-9318
Nottingham Research ... arrow_drop_down Nottingham Research RepositoryArticle . 2018License: CC BYData sources: CORE (RIOXX-UK Aggregator)IIASA DAREArticle . 2018License: CC BYFull-Text: http://pure.iiasa.ac.at/id/eprint/15398/1/Zaherpour_2018_Environ._Res._Lett._13_065015.pdfData sources: Bielefeld Academic Search Engine (BASE)Environmental Research LettersArticle . 2018Data sources: DANS (Data Archiving and Networked Services)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/aac547&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 93 citations 93 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
visibility 1visibility views 1 download downloads 11 Powered bymore_vert Nottingham Research ... arrow_drop_down Nottingham Research RepositoryArticle . 2018License: CC BYData sources: CORE (RIOXX-UK Aggregator)IIASA DAREArticle . 2018License: CC BYFull-Text: http://pure.iiasa.ac.at/id/eprint/15398/1/Zaherpour_2018_Environ._Res._Lett._13_065015.pdfData sources: Bielefeld Academic Search Engine (BASE)Environmental Research LettersArticle . 2018Data sources: DANS (Data Archiving and Networked Services)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/aac547&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2017Embargo end date: 01 Jan 2018 United States, SwitzerlandPublisher:Wiley Guowei Liu; Johannes Pfeifer; Rita de Brito Francisco; Aurelia Emonet; Marina Stirnemann; Christian Gübeli; Olivier Hutter; Joëlle Sasse; Christian Mattheyer; Ernst Stelzer; Achim Walter; Enrico Martinoia; Lorenzo Borghi;Summary Strigolactones (SLs) are carotenoid‐derived phytohormones shaping plant architecture and inducing the symbiosis with endomycorrhizal fungi. In Petunia hybrida, SL transport within the plant and towards the rhizosphere is driven by the ABCG‐class protein PDR1. PDR1 expression is regulated by phytohormones and by the soil phosphate abundance, and thus SL transport integrates plant development with nutrient conditions. We overexpressed PDR1 (PDR1 OE) to investigate whether increased endogenous SL transport is sufficient to improve plant nutrition and productivity. Phosphorus quantification and nondestructive X‐ray computed tomography were applied. Morphological and gene expression changes were quantified at cellular and whole tissue levels via time‐lapse microscopy and quantitative PCR. PDR1 OE significantly enhanced phosphate uptake and plant biomass production on phosphate‐poor soils. PDR1 OE plants showed increased lateral root formation, extended root hair elongation, faster mycorrhization and reduced leaf senescence. PDR1 overexpression allowed considerable SL biosynthesis by releasing SL biosynthetic genes from an SL‐dependent negative feedback. The increased endogenous SL transport/biosynthesis in PDR1 OE plants is a powerful tool to improve plant growth on phosphate‐poor soils. We propose PDR1 as an as yet unexplored trait to be investigated for crop production. The overexpression of PDR1 is a valuable strategy to investigate SL functions and transport routes.
New Phytologist arrow_drop_down eScholarship - University of CaliforniaArticle . 2018Data sources: eScholarship - University of Californiaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/nph.14847&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 50 citations 50 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert New Phytologist arrow_drop_down eScholarship - University of CaliforniaArticle . 2018Data sources: eScholarship - University of Californiaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/nph.14847&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Journal 2021Embargo end date: 02 Mar 2021 France, Germany, Switzerland, FrancePublisher:Copernicus GmbH Funded by:SNSF | Robust models for assessi..., EC | GHG EUROPE, SNSF | Buffer-Capacity-based Liv...SNSF| Robust models for assessing the effectiveness of technologies and managements to reduce N2O emissions from grazed pastures (Models4Pastures) ,EC| GHG EUROPE ,SNSF| Buffer-Capacity-based Livelihood Resilience to Stressors - an Early Warning Tool and its Application in Makueni County, KenyaL. Merbold; L. Merbold; L. Merbold; C. Decock; C. Decock; W. Eugster; K. Fuchs; B. Wolf; N. Buchmann; L. Hörtnagl;Abstract. A 5-year greenhouse gas (GHG) exchange study of the three major gas species (CO2, CH4 and N2O) from an intensively managed permanent grassland in Switzerland is presented. Measurements comprise 2 years (2010 and 2011) of manual static chamber measurements of CH4 and N2O, 5 years of continuous eddy covariance (EC) measurements (CO2–H2O – 2010–2014), and 3 years (2012–2014) of EC measurement of CH4 and N2O. Intensive grassland management included both regular and sporadic management activities. Regular management practices encompassed mowing (three to five cuts per year) with subsequent organic fertilizer amendments and occasional grazing, whereas sporadic management activities comprised grazing or similar activities. The primary objective of our measurements was to compare pre-plowing to post-plowing GHG exchange and to identify potential memory effects of such a substantial disturbance on GHG exchange and carbon (C) and nitrogen (N) gains and losses. In order to include measurements carried out with different observation techniques, we tested two different measurement techniques jointly in 2013, namely the manual static chamber approach and the eddy covariance technique for N2O, to quantify the GHG exchange from the observed grassland site. Our results showed that there were no memory effects on N2O and CH4 emissions after plowing, whereas the CO2 uptake of the site considerably increased when compared to pre-restoration years. In detail, we observed large losses of CO2 and N2O during the year of restoration. In contrast, the grassland acted as a carbon sink under usual management, i.e., the time periods 2010–2011 and 2013–2014. Enhanced emissions and emission peaks of N2O (defined as exceeding background emissions 0.21 ± 0.55 nmol m−2 s−1 (SE = 0.02) for at least 2 sequential days and the 7 d moving average exceeding background emissions) were observed for almost 7 continuous months after restoration as well as following organic fertilizer applications during all years. Net ecosystem exchange of CO2 (NEECO2) showed a common pattern of increased uptake of CO2 in spring and reduced uptake in late fall. NEECO2 dropped to zero and became positive after each harvest event. Methane (CH4) exchange fluctuated around zero during all years. Overall, CH4 exchange was of negligible importance for both the GHG budget and the carbon budget of the site. Our results stress the inclusion of grassland restoration events when providing cumulative sums of C sequestration potential and/or global warming potential (GWP). Consequently, this study further highlights the need for continuous long-term GHG exchange observations as well as for the implementation of our findings into biogeochemical process models to track potential GHG mitigation objectives as well as to predict future GHG emission scenarios reliably.
KITopen (Karlsruhe I... arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2023License: CC BYFull-Text: https://hdl.handle.net/10568/129339Data 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=10.5194/bg-18-1481-2021&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu13 citations 13 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert KITopen (Karlsruhe I... arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2023License: CC BYFull-Text: https://hdl.handle.net/10568/129339Data 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=10.5194/bg-18-1481-2021&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2021Embargo end date: 27 Apr 2021 SwitzerlandPublisher:IOP Publishing Funded by:NSERCNSERCKayla D Stan; Arturo Sanchez-Azofeifa; Sandra M Duran; J Antonio Guzman Q; Michael Hesketh; Kati Laakso; Carlos Portillo-Quintero; Cassidy Rankine; Sebastian Doetterl;Abstract Tropical dry forests (TDFs) worldwide have an environment-sensitive phenological signal, which easily marks their response to the changing climatic conditions, especially precipitation and temperature. Using TDF phenological characteristics as a proxy, this study aims to evaluate their current continental response to climate change across the Americas. Here, we show that TDFs are resilient to water stress and droughts by increasing their rain use efficiency (RUE) in drier years and recovering to average RUE in the year following the drought. Additionally, we find that TDF productivity trends over the past 18 years are spatially clustered, with sites in the northern hemisphere experiencing increased productivity, while equatorial regions have no change, and the southern hemisphere exhibiting decreased productivity. The results indicate that the TDF will be resilient under future climatic conditions, particularly if there are increasing drought conditions.
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/abf6f3&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 8 citations 8 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/abf6f3&type=result"></script>'); --> </script>
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