- home
- Advanced Search
Filters
- Energy Research
- Energy Research
description Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2018 United Kingdom, Germany, United States, United States, United Kingdom, United States, United Kingdom, Netherlands, United KingdomPublisher:Springer Science and Business Media LLC Funded by:NSF | LTER: Biodiversity, Multi..., NSF | LTER: Succession, Biodive..., NSF | LTER: Biodiversity, Distu... +4 projectsNSF| LTER: Biodiversity, Multiple Drivers of Environmental Change and Ecosystem Functioning at the Prairie Forest Border ,NSF| LTER: Succession, Biodiversity and Ecosystem Functioning at the Prairie-Forest Border ,NSF| LTER: Biodiversity, Disturbance and Ecosystem Functioning at the Prairie-Forest Border ,DFG| German Centre for Integrative Biodiversity Research - iDiv ,DFG| Exploring mechanisms underlying the relationship between biodiversity and ecosystem functioning (Jena Experiment) ,NSF| Biodiversity, Environmental Change and Ecosystem Functioning at the Prairie-Forest Boarder ,RSF| Scientific basis of the national biobank - depository of the living systemsH. Wayne Polley; Anne Ebeling; Carl Beierkuhnlein; Brandon S. Schamp; Jane A. Catford; Michael Bahn; Joseph M. Craine; Jens Kattge; Christiane Roscher; Yann Hautier; Nico Eisenhauer; Melinda D. Smith; Gerhard Bönisch; Nathan P. Lemoine; Vladimir G. Onipchenko; Andy Hector; Dylan Craven; Nina Buchmann; Peter B. Reich; Chaeho Byun; William D. Pearse; Forest Isbell; Jürgen Kreyling; Alexandra Weigelt; J. Hans C. Cornelissen; Sebastian T. Meyer; Vanessa Minden; Vanessa Minden; Nadejda A. Soudzilovskaia; Brian J. Wilsey; Anke Jentsch; David Tilman; John N. Griffin; Bruno Enrico Leone Cerabolini; Jasper van Ruijven; Peter Manning; Jes Hines; Enrica De Luca; Vojtěch Lanta;A substantial body of evidence has demonstrated that biodiversity stabilizes ecosystem functioning over time in grassland ecosystems. However, the relative importance of different facets of biodiversity underlying the diversity-stability relationship remains unclear. Here we use data from 39 grassland biodiversity experiments and structural equation modelling to investigate the roles of species richness, phylogenetic diversity and both the diversity and community-weighted mean of functional traits representing the 'fast-slow' leaf economics spectrum in driving the diversity-stability relationship. We found that high species richness and phylogenetic diversity stabilize biomass production via enhanced asynchrony in the performance of co-occurring species. Contrary to expectations, low phylogenetic diversity enhances ecosystem stability directly, albeit weakly. While the diversity of fast-slow functional traits has a weak effect on ecosystem stability, communities dominated by slow species enhance ecosystem stability by increasing mean biomass production relative to the standard deviation of biomass over time. Our in-depth, integrative assessment of factors influencing the diversity-stability relationship demonstrates a more multicausal relationship than has been previously acknowledged.
Utah State Universit... arrow_drop_down Utah State University: DigitalCommons@USUArticle . 2018License: PDMData sources: Bielefeld Academic Search Engine (BASE)DANS (Data Archiving and Networked Services)Article . 2018Data sources: DANS (Data Archiving and Networked Services)Publikationenserver der Georg-August-Universität GöttingenArticle . 2020Leiden University Scholarly Publications RepositoryArticle . 2018Data sources: Leiden University Scholarly Publications RepositoryKing's College, London: Research PortalArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)Nature Ecology & EvolutionArticle . 2018 . Peer-reviewedLicense: Springer Nature TDMData sources: CrossrefDANS (Data Archiving and Networked Services)Article . 2018Data sources: DANS (Data Archiving and Networked Services)University of Western Sydney (UWS): Research DirectArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)Digital Repository @ Iowa State UniversityArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41559-018-0647-7&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 371 citations 371 popularity Top 0.1% influence Top 10% impulse Top 0.1% Powered by BIP!
more_vert Utah State Universit... arrow_drop_down Utah State University: DigitalCommons@USUArticle . 2018License: PDMData sources: Bielefeld Academic Search Engine (BASE)DANS (Data Archiving and Networked Services)Article . 2018Data sources: DANS (Data Archiving and Networked Services)Publikationenserver der Georg-August-Universität GöttingenArticle . 2020Leiden University Scholarly Publications RepositoryArticle . 2018Data sources: Leiden University Scholarly Publications RepositoryKing's College, London: Research PortalArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)Nature Ecology & EvolutionArticle . 2018 . Peer-reviewedLicense: Springer Nature TDMData sources: CrossrefDANS (Data Archiving and Networked Services)Article . 2018Data sources: DANS (Data Archiving and Networked Services)University of Western Sydney (UWS): Research DirectArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)Digital Repository @ Iowa State UniversityArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41559-018-0647-7&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022Embargo end date: 14 Dec 2022 Germany, SwitzerlandPublisher:Springer Science and Business Media LLC Funded by:SNSF | Fundamental biological ca..., DFG | Exploring mechanisms unde..., DFG +1 projectsSNSF| Fundamental biological causes of changing plant diversity-productivity relationships ,DFG| Exploring mechanisms underlying the relationship between biodiversity and ecosystem functioning (Jena Experiment) ,DFG ,SNSF| Community history, biodiversity and ecosystem functioningWagg, Cameron; Roscher, Christiane; Weigelt, Alexandra; Vogel, Anja; Ebeling, Anne; De Luca, Enrica; Roeder, Anna; Kleinspehn, Clemens; Temperton, Vicky M; Meyer, Sebastian T; Scherer-Lorenzen, Michael; Buchmann, Nina; Fischer, Markus; Weisser, Wolfgang W; Eisenhauer, Nico; Schmid, Bernhard;pmid: 36517483
pmc: PMC9751076
AbstractNumerous studies have demonstrated that biodiversity drives ecosystem functioning, yet how biodiversity loss alters ecosystems functioning and stability in the long-term lacks experimental evidence. We report temporal effects of species richness on community productivity, stability, species asynchrony, and complementarity, and how the relationships among them change over 17 years in a grassland biodiversity experiment. Productivity declined more rapidly in less diverse communities resulting in temporally strengthening positive effects of richness on productivity, complementarity, and stability. In later years asynchrony played a more important role in increasing community stability as the negative effect of richness on population stability diminished. Only during later years did species complementarity relate to species asynchrony. These results show that species complementarity and asynchrony can take more than a decade to develop strong stabilizing effects on ecosystem functioning in diverse plant communities. Thus, the mechanisms stabilizing ecosystem functioning change with community age.
Bern Open Repository... arrow_drop_down Bern Open Repository and Information System (BORIS)Article . 2022 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)University of Freiburg: FreiDokArticle . 2022Full-Text: https://freidok.uni-freiburg.de/data/235310Data sources: Bielefeld Academic Search Engine (BASE)Zurich Open Repository and ArchiveArticle . 2022License: CC BYData sources: Zurich Open Repository and Archiveadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41467-022-35189-2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 76 citations 76 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Bern Open Repository... arrow_drop_down Bern Open Repository and Information System (BORIS)Article . 2022 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)University of Freiburg: FreiDokArticle . 2022Full-Text: https://freidok.uni-freiburg.de/data/235310Data sources: Bielefeld Academic Search Engine (BASE)Zurich Open Repository and ArchiveArticle . 2022License: CC BYData sources: Zurich Open Repository and Archiveadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41467-022-35189-2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2017Embargo end date: 01 Jan 2017 France, France, Germany, Netherlands, Germany, Germany, Germany, Switzerland, France, Netherlands, Netherlands, Germany, Netherlands, Netherlands, NetherlandsPublisher:Elsevier BV Funded by:DFG, DFG | Exploring mechanisms unde...DFG ,DFG| Exploring mechanisms underlying the relationship between biodiversity and ecosystem functioning (Jena Experiment)Wolfgang Wilcke; Nico Eisenhauer; François Buscot; Michael Wachendorf; Christiane Roscher; Arthur Gessler; Yvonne Oelmann; Christoph Scherber; Jacques Roy; Eric Allan; Michael Scherer-Lorenzen; Liesje Mommer; Helmut Hillebrand; Christine Fischer; Christine Fischer; Guangjuan Luo; Bernhard Schmid; Markus Fischer; Hans de Kroon; Cameron Wagg; Raphaël Proulx; Holger Beßler; Stefan Scheu; Stefan Halle; Markus Lange; Nina Buchmann; Teja Tscharntke; Pascal A. Niklaus; Pascal A. Niklaus; Christian Wirth; Christof Engels; Anne Ebeling; Alexandra Weigelt; Ernst Detlef Schulze; Sophia Leimer; Sebastian T. Meyer; Alexandru Milcu; Alexandru Milcu; Romain L. Barnard; Romain L. Barnard; Anke Hildebrandt; Anke Hildebrandt; Wolfgang W. Weisser; Xavier Le Roux; Gerd Gleixner;In the past two decades, a large number of studies have investigated the relationship between biodiversity and ecosystem functioning, most of which focussed on a limited set of ecosystem variables. The Jena Experiment was set up in 2002 to investigate the effects of plant diversity on element cycling and trophic interactions, using a multi-disciplinary approach. Here, we review the results of 15 years of research in the Jena Experiment, focussing on the effects of manipulating plant species richness and plant functional richness. With more than 85,000 measures taken from the plant diversity plots, the Jena Experiment has allowed answering fundamental questions important for functional biodiversity research. First, the question was how general the effect of plant species richness is, regarding the many different processes that take place in an ecosystem. About 45% of different types of ecosystem processes measured in the ‘main experiment’, where plant species richness ranged from 1 to 60 species, were significantly affected by plant species richness, providing strong support for the view that biodiversity is a significant driver of ecosystem functioning. Many measures were not saturating at the 60-species level, but increased linearly with the logarithm of species richness. There was, however, great variability in the strength of response among different processes. One striking pattern was that many processes, in particular belowground processes, took several years to respond to the manipulation of plant species richness, showing that biodiversity experiments have to be long-term, to distinguish trends from transitory patterns. In addition, the results from the Jena Experiment provide further evidence that diversity begets stability, for example stability against invasion of plant species, but unexpectedly some results also suggested the opposite, e.g. when plant communities experience severe perturbations or elevated resource availability. This highlights the need to revisit diversity–stability theory. Second, we explored whether individual plant species or individual plant functional groups, or biodiversity itself is more important for ecosystem functioning, in particular biomass production. We found strong effects of individual species and plant functional groups on biomass production, yet these effects mostly occurred in addition to, but not instead of, effects of plant species richness. Third, the Jena Experiment assessed the effect of diversity on multitrophic interactions. The diversity of most organisms responded positively to increases in plant species richness, and the effect was stronger for above- than for belowground organisms, and stronger for herbivores than for carnivores or detritivores. Thus, diversity begets diversity. In addition, the effect on organismic diversity was stronger than the effect on species abundances. Fourth, the Jena Experiment aimed to assess the effect of diversity on N, P and C cycling and the water balance of the plots, separating between element input into the ecosystem, element turnover, element stocks, and output from the ecosystem. While inputs were generally less affected by plant species richness, measures of element stocks, turnover and output were often positively affected by plant diversity, e.g. carbon storage strongly increased with increasing plant species richness. Variables of the N cycle responded less strongly to plant species richness than variables of the C cycle. Fifth, plant traits are often used to unravel mechanisms underlying the biodiversity–ecosystem functioning relationship. In the Jena Experiment, most investigated plant traits, both above- and belowground, were plastic and trait expression depended on plant diversity in a complex way, suggesting limitation to using database traits for linking plant traits to particular functions. Sixth, plant diversity effects on ecosystem processes are often caused by plant diversity effects on species interactions. Analyses in the Jena Experiment including structural equation modelling suggest complex interactions that changed with diversity, e.g. soil carbon storage and greenhouse gas emission were affected by changes in the composition and activity of the belowground microbial community. Manipulation experiments, in which particular organisms, e.g. belowground invertebrates, were excluded from plots in split-plot experiments, supported the important role of the biotic component for element and water fluxes. Seventh, the Jena Experiment aimed to put the results into the context of agricultural practices in managed grasslands. The effect of increasing plant species richness from 1 to 16 species on plant biomass was, in absolute terms, as strong as the effect of a more intensive grassland management, using fertiliser and increasing mowing frequency. Potential bioenergy production from high-diversity plots was similar to that of conventionally used energy crops. These results suggest that diverse ‘High Nature Value Grasslands’ are multifunctional and can deliver a range of ecosystem services including production-related services. A final task was to assess the importance of potential artefacts in biodiversity–ecosystem functioning relationships, caused by the weeding of the plant community to maintain plant species composition. While the effort (in hours) needed to weed a plot was often negatively related to plant species richness, species richness still affected the majority of ecosystem variables. Weeding also did not negatively affect monoculture performance; rather, monocultures deteriorated over time for a number of biological reasons, as shown in plant-soil feedback experiments. To summarize, the Jena Experiment has allowed for a comprehensive analysis of the functional role of biodiversity in an ecosystem. A main challenge for future biodiversity research is to increase our mechanistic understanding of why the magnitude of biodiversity effects differs among processes and contexts. It is likely that there will be no simple answer. For example, among the multitude of mechanisms suggested to underlie the positive plant species richness effect on biomass, some have received limited support in the Jena Experiment, such as vertical root niche partitioning. However, others could not be rejected in targeted analyses. Thus, from the current results in the Jena Experiment, it seems likely that the positive biodiversity effect results from several mechanisms acting simultaneously in more diverse communities, such as reduced pathogen attack, the presence of more plant growth promoting organisms, less seed limitation, and increased trait differences leading to complementarity in resource uptake. Distinguishing between different mechanisms requires careful testing of competing hypotheses. Biodiversity research has matured such that predictive approaches testing particular mechanisms are now possible. Basic and Applied Ecology, 23 ISSN:1439-1791 ISSN:1618-0089
Hyper Article en Lig... arrow_drop_down University of Freiburg: FreiDokArticle . 2017Full-Text: https://freidok.uni-freiburg.de/data/175599Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2017License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)Publikationenserver der Georg-August-Universität GöttingenArticle . 2017 . Peer-reviewedBern Open Repository and Information System (BORIS)Article . 2017 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Göttingen Research Online PublicationsArticle . 2019License: CC BY NC NDData sources: Göttingen Research Online PublicationsWageningen Staff PublicationsArticle . 2017License: CC BY NC NDData sources: Wageningen Staff PublicationsZurich Open Repository and ArchiveArticle . 2017 . Peer-reviewedLicense: CC BY NC NDData sources: Zurich Open Repository and ArchiveInstitut National de la Recherche Agronomique: ProdINRAArticle . 2017License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)Eberhard Karls University Tübingen: Publication SystemArticle . 2017Data sources: Bielefeld Academic Search Engine (BASE)HAL - Université de Bourgogne (HAL-uB)Other literature type . 2017Data sources: HAL - Université de Bourgogne (HAL-uB)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.baae.2017.06.002&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 340 citations 340 popularity Top 0.1% influence Top 10% impulse Top 0.1% Powered by BIP!
more_vert Hyper Article en Lig... arrow_drop_down University of Freiburg: FreiDokArticle . 2017Full-Text: https://freidok.uni-freiburg.de/data/175599Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2017License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)Publikationenserver der Georg-August-Universität GöttingenArticle . 2017 . Peer-reviewedBern Open Repository and Information System (BORIS)Article . 2017 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Göttingen Research Online PublicationsArticle . 2019License: CC BY NC NDData sources: Göttingen Research Online PublicationsWageningen Staff PublicationsArticle . 2017License: CC BY NC NDData sources: Wageningen Staff PublicationsZurich Open Repository and ArchiveArticle . 2017 . Peer-reviewedLicense: CC BY NC NDData sources: Zurich Open Repository and ArchiveInstitut National de la Recherche Agronomique: ProdINRAArticle . 2017License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)Eberhard Karls University Tübingen: Publication SystemArticle . 2017Data sources: Bielefeld Academic Search Engine (BASE)HAL - Université de Bourgogne (HAL-uB)Other literature type . 2017Data sources: HAL - Université de Bourgogne (HAL-uB)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.baae.2017.06.002&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2013Publisher:Springer Science and Business Media LLC Funded by:DFG | Exploring mechanisms unde..., NSERCDFG| Exploring mechanisms underlying the relationship between biodiversity and ecosystem functioning (Jena Experiment) ,NSERCTill Eggers; Wolfgang W. Weisser; Wolfgang W. Weisser; Jessy Loranger; Hannah Loranger; Hannah Loranger; Enrica De Luca; Sebastian T. Meyer; Sebastian T. Meyer; Anne Ebeling; Christiane Roscher;pmid: 23907703
Plant diversity is a key driver of ecosystem functioning best documented for its influence on plant productivity. The strength and direction of plant diversity effects on species interactions across trophic levels are less clear. For example, with respect to the interactions between herbivorous invertebrates and plants, a number of competing hypotheses have been proposed that predict either increasing or decreasing community herbivory with increasing plant species richness. We investigated foliar herbivory rates and consumed leaf biomass along an experimental grassland plant diversity gradient in year eight after establishment. The gradient ranged from one to 60 plant species and manipulated also functional group richness (from one to four functional groups-legumes, grasses, small herbs, and tall herbs) and plant community composition. Measurements in monocultures of each plant species showed that functional groups differed in the quantity and quality of herbivory damage they experienced, with legumes being more damaged than grasses or non-legume herbs. In mixed plant communities, herbivory increased with plant diversity and the presence of two key plant functional groups in mixtures had a positive (legumes) and a negative (grasses) effect on levels of herbivory. Further, plant community biomass had a strong positive impact on consumed leaf biomass, but little effect on herbivory rates. Our results contribute detailed data from a well-established biodiversity experiment to a growing body of evidence suggesting that an increase of herbivory with increasing plant diversity is the rule rather than an exception. Considering documented effects of herbivory on other ecosystem functions and the increase of herbivory with plant diversity, levels of herbivory damage might not only be a result, but also a trigger within the diversity-productivity relationship.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s00442-013-2741-5&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu68 citations 68 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s00442-013-2741-5&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2020Embargo end date: 01 Mar 2020 Netherlands, Germany, Switzerland, Germany, SwitzerlandPublisher:Springer Science and Business Media LLC Funded by:DFG | Exploring mechanisms unde..., DFGDFG| Exploring mechanisms underlying the relationship between biodiversity and ecosystem functioning (Jena Experiment) ,DFGKatja Steinauer; Stefan Scheu; Hans de Kroon; Jana S. Petermann; Wolfgang W. Weisser; Markus Lange; Oksana Y. Buzhdygan; Oksana Y. Buzhdygan; Stuart R. Borrett; Stuart R. Borrett; Anja Vogel; Anja Vogel; Nico Eisenhauer; Christoph Scherber; Liesje Mommer; Nina Buchmann; Michael Scherer-Lorenzen; Roeland Cortois; Gerd Gleixner; Alexandra Weigelt; Tanja Strecker; Britta Tietjen; Jes Hines; Bernhard Schmid; Janneke Ravenek; Gerlinde B. De Deyn; Lionel R. Hertzog; Anne Ebeling; Sebastian T. Meyer;pmid: 32094542
Nature Ecology & Evolution, 4 ISSN:2397-334X
Nature Ecology & Evo... arrow_drop_down Publikationenserver der Georg-August-Universität GöttingenArticle . 2020Nature Ecology & EvolutionArticle . 2020 . Peer-reviewedLicense: Springer Nature 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=10.1038/s41559-020-1123-8&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 76 citations 76 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Nature Ecology & Evo... arrow_drop_down Publikationenserver der Georg-August-Universität GöttingenArticle . 2020Nature Ecology & EvolutionArticle . 2020 . Peer-reviewedLicense: Springer Nature 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=10.1038/s41559-020-1123-8&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2020Publisher:PANGAEA Authors: van der Plas, Fons; Schröder-Georgi, Thomas; Weigelt, Alexandra; Barry, Kathryn; +29 Authorsvan der Plas, Fons; Schröder-Georgi, Thomas; Weigelt, Alexandra; Barry, Kathryn; Meyer, Sebastian Tobias; Alzate, Adriana; Barnard, Romain L; Buchmann, Nina; de Kroon, Hans; Ebeling, Anne; Eisenhauer, Nico; Engels, Christof; Fischer, Markus; Gleixner, Gerd; Hildebrandt, Anke; Koller-France, Eva; Leimer, Sophia; Milcu, Alexandru; Mommer, Liesje; Niklaus, Pascal A; Oelmann, Yvonne; Roscher, Christiane; Scherber, Christoph; Scherer-Lorenzen, Michael; Scheu, Stefan; Schmid, Bernhard; Schulze, Ernst-Detlef; Temperton, Vicky; Tscharntke, Teja; Voigt, Winfried; Weisser, Wolfgang W; Wilcke, Wolfgang; Wirth, Christian;Data on plant communities (biomass and relative cover of all target species), plant traits (41 different traits, measured on 59 species), and 42 ecosystem properties/functions, measured between 2003 and 2012 in the Jena Main Biodiversity experiment. In floodplain grasslands of the Saale river, near Jena (Germany) 78 20x20 m grassland plots were set up, in which combinations of 1, 2, 4, 8 or 16 species were sown, from a species pool of 60. Thereby, the aim was to create a gradient in plant species richness and functional composition. In each year from 2003-2012, relative cover (in %) of each target species was estimated within 3x3 m subplots. In addition, plant biomass was measured in both spring and summer.In addition, we compiled trait data for 59 of the 60 sown species, based on a combination of existing literature, pot experiments and measurements in the Jena Main Biodiversity experiment monoculture (1-species) plots. Data on 41 traits was collected. Finally, we measured in 41 different ecosystem functions in the Jena Main Biodiversity experiment. Each ecosystem function was measured in at least 3 different years between 2003 and 2012.The "R2.model.random.text[x]" (where x is a number from 1 to 40) are secondary data files, and the outcome of statistical models. In these, 100 times a random subset of 1 to 40 (out of the 41) plant traits were analysed as predictors of the 42 ecosystem functions, in order to assess how the proportion of variance in ecosystem functioning explained by traits (R2 values) depends on the number of traits analysed.
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=10.1594/pangaea.923591&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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=10.1594/pangaea.923591&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2020Embargo end date: 02 Sep 2024 Germany, Germany, France, France, Germany, Germany, NetherlandsPublisher:Springer Science and Business Media LLC Markus Fischer; Yvonne Oelmann; Wolfgang Wilcke; Nico Eisenhauer; Alexandra Weigelt; Thomas Schröder-Georgi; Teja Tscharntke; Fons van der Plas; Michael Scherer-Lorenzen; Christoph Scherber; Gerd Gleixner; Wolfgang W. Weisser; Hans de Kroon; Sophia Leimer; Nina Buchmann; Liesje Mommer; Adriana Alzate; Christian Wirth; Christian Wirth; Bernhard Schmid; Bernhard Schmid; Christiane Roscher; Kathryn E. Barry; Christof Engels; Romain L. Barnard; Anke Hildebrandt; Anke Hildebrandt; Winfried Voigt; Eva Koller-France; Vicky M. Temperton; Pascal A. Niklaus; E.-D. Schulze; Stefan Scheu; Sebastian T. Meyer; Anne Ebeling; Alexandru Milcu; Alexandru Milcu;Earth is home to over 350,000 vascular plant species that differ in their traits in innumerable ways. A key challenge is to predict how natural or anthropogenically driven changes in the identity, abundance and diversity of co-occurring plant species drive important ecosystem-level properties such as biomass production or carbon storage. Here, we analyse the extent to which 42 different ecosystem properties can be predicted by 41 plant traits in 78 experimentally manipulated grassland plots over 10 years. Despite the unprecedented number of traits analysed, the average percentage of variation in ecosystem properties jointly explained was only moderate (32.6%) within individual years, and even much lower (12.7%) across years. Most other studies linking ecosystem properties to plant traits analysed no more than six traits and, when including only six traits in our analysis, the average percentage of variation explained in across-year levels of ecosystem properties dropped to 4.8%. Furthermore, we found on average only 12.2% overlap in significant predictors among ecosystem properties, indicating that a small set of key traits able to explain multiple ecosystem properties does not exist. Our results therefore suggest that there are specific limits to the extent to which traits per se can predict the long-term functional consequences of biodiversity change, so that data on additional drivers, such as interacting abiotic factors, may be required to improve predictions of ecosystem property levels.
KITopen (Karlsruhe I... arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)Publikationenserver der Georg-August-Universität GöttingenArticle . 2021Nature Ecology & EvolutionArticle . 2020 . Peer-reviewedLicense: Springer Nature TDMData sources: CrossrefHAL - Université de Bourgogne (HAL-uB)Other literature type . 2020Data sources: HAL - Université de Bourgogne (HAL-uB)Universitätsbibliographie, Universität Duisburg-EssenArticle . 2020Data sources: Universitätsbibliographie, Universität Duisburg-EssenInstitut National de la Recherche Agronomique: ProdINRAArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)Eberhard Karls University Tübingen: Publication SystemArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41559-020-01316-9&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 143 citations 143 popularity Top 1% influence Top 10% impulse Top 0.1% Powered by BIP!
more_vert KITopen (Karlsruhe I... arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)Publikationenserver der Georg-August-Universität GöttingenArticle . 2021Nature Ecology & EvolutionArticle . 2020 . Peer-reviewedLicense: Springer Nature TDMData sources: CrossrefHAL - Université de Bourgogne (HAL-uB)Other literature type . 2020Data sources: HAL - Université de Bourgogne (HAL-uB)Universitätsbibliographie, Universität Duisburg-EssenArticle . 2020Data sources: Universitätsbibliographie, Universität Duisburg-EssenInstitut National de la Recherche Agronomique: ProdINRAArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)Eberhard Karls University Tübingen: Publication SystemArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41559-020-01316-9&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2023 GermanyPublisher:Springer Science and Business Media LLC Funded by:DFGDFGM. Bröcher; A. Ebeling; L. Hertzog; C. Roscher; W. Weisser; S. T. Meyer;AbstractInvertebrate herbivory can shape plant communities when impacting growth and fitness of some plant species more than other species. Previous studies showed that herbivory varies among plant species and that species-specific herbivory is affected by the diversity of the surrounding plant community. However, mechanisms underlying this variation are still poorly understood. In this study, we investigate how plant traits and plant apparency explain differences in herbivory among plant species and we explore the effect of plant community diversity on these species-specific relationships. We found that species differed in the herbivory they experienced. Forbs were three times more damaged by herbivores than grasses. Variability within grasses was caused by differences in leaf dry matter content (LDMC). Furthermore, higher plant diversity increased herbivory on 15 plant species and decreased herbivory on nine species. Variation within forb and grass species in their response to changing plant diversity was best explained by species’ physical resistance (LDMC, forbs) and biomass (grasses). Overall, our results show that herbivory and diversity effects on herbivory differ among species, and that, depending on the plant functional group, either species-specific traits or apparency are driving those differences. Thus, herbivores might selectively consume palatable forbs or abundant grasses with contrasting consequences for plant community composition in grasslands dominated by either forbs or grasses.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s00442-023-05361-6&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 10 citations 10 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=10.1007/s00442-023-05361-6&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2017Publisher:PANGAEA Ebeling, Anne; Rzanny, Michael; Lange, Markus; Eisenhauer, Nico; Hertzog, Lionel R; Meyer, Sebastian Tobias; Weisser, Wolfgang W;This data contains information on the functional structure of consumer communities per plot from a grassland biodiversity experiment (the Jena Experiment). For each consumer species we assigned the four categorical traits feeding mode, food/ host specialization, stratum, and aerial mobility, and the numerical trait body mass (mg). Functional structure here is expressed by number of individuals belonging to the different categories within each trait and the community weighted mean of body mass.
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=10.1594/pangaea.879540&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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=10.1594/pangaea.879540&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset , Other dataset type 2020 NetherlandsPublisher:PANGAEA Funded by:DFG, DFG | Exploring mechanisms unde...DFG ,DFG| Exploring mechanisms underlying the relationship between biodiversity and ecosystem functioning (Jena Experiment)Authors: Buzhdygan, Oksana Y; Meyer, Sebastian Tobias; Weisser, Wolfgang W; Eisenhauer, Nico; +22 AuthorsBuzhdygan, Oksana Y; Meyer, Sebastian Tobias; Weisser, Wolfgang W; Eisenhauer, Nico; Ebeling, Anne; Borrett, Stuart R; Buchmann, Nina; Cortois, Roeland; De Deyn, Gerlinde B; de Kroon, Hans; Gleixner, Gerd; Hertzog, Lionel R; Hines, Jes; Lange, Markus; Mommer, Liesje; Ravenek, Janneke; Scherber, Christoph; Scherer-Lorenzen, Michael; Scheu, Stefan; Schmid, Bernhard; Steinauer, Katja; Strecker, Tanja; Tietjen, Britta; Vogel, Anja; Weigelt, Alexandra; Petermann, Jana S;This data set contains measures of energy-use efficiency, energy flow, and energy storage in units of dry biomass that quantify the multitrophic ecosystem functioning realized in grassland ecosystems of differing plant diversity. Given are both the measures integrated over whole ecosystems (total network measures) as well as the energy dynamics associated with individual ecosystem compartments including the entire biological community and detrital compartments across the above- and belowground parts of the ecosystem.Data presented here is from the Main Experiment plots of a large grassland biodiversity experiment (the Jena Experiment, see further details below). In the main experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown into the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, 4 functional groups). Study plots are grouped in four blocks in parallel to the river in order to account for any effect of a gradient in abiotic soil properties. Each block contains an equal number of plots of each plant species richness and plant functional group richness level. Plots were maintained in general by bi-annual weeding and mowing. Since 2010, plot size was reduced to 5.5 x 6 m and plots were weeded three times per year.Trophic-network models were constructed for 80 of the experimental plots, and represent the ecosystem energy budget in the currency of dry-mass (g m-2 for standing stocks and g m-2 d-1 for flows). All trophic networks have the same topology, but they differ in the estimated size of the standing stock biomass of individual compartments (g m-2) and flows among the compartments (g m-2 d-1). Each trophic network contains twelve ecosystem compartments representing distinct trophic groups of the above- and belowground parts of the ecosystem (i.e., plants, soil microbial community, and above- and belowground herbivores, carnivores, omnivores, decomposers, all represented by invertebrate macro- and mesofauna) and detrital pools (i.e., surface litter and soil organic matter). Vertebrates were not considered in our study due to limitations of data availability and because the impact of resident vertebrates in our experimental system is expected to be minimal. Larger grazing vertebrates were excluded by a fence around the field site, though there was some occasional grazing by voles.Compartments are connected by 41 flows. Flows (fluxes) constitute 30 internal flows within the system, namely feeding (herbivory, predation, decomposition), excretion, mortality, and mechanical transformation of surface litter due to bioturbation plus eleven 11 external flows, i.e. one input (flows entering the system, namely carbon uptake by plants) and ten output flows (flows leaving the system, namely respiration losses). The ecosystem inflow (a flow entering the system) and outflows (flows leaving the system) represent carbon uptake and respiration losses, respectively. In the case of consumer groups, the food consumed (compartment-wide input flow) is further split into excretion (not assimilated organic material that is returned to detrital pools in the form of fecesfaeces) and assimilated organic material, which is further split into respiration (energy lost out of the system to the environment) and biomass production, which is further consumed by higher trophic levels due to predation or returned to detrital pools in the form of mortality (natural mortality or prey residues). In case of detrital pools (i.e. surface litter and soil organic matter), the input flows are in the form of excretion and mortality from the biota compartments, and output flows are in the form of feeding by decomposers and soil microorganisms (i.e. decomposition). Surface litter and soil organic matter are connected by flows in the form of burrowing (mechanical transportation) of organic material from the surface to the soil by soil fauna. Organism immigration and emigration are not considered in our study due to limited data availability.Flows were quantified using resource processing rates (i.e. the feeding rates at which material is taken from a source) multiplied with the standing biomass of the respective source compartment. To approximate resource processing rates, different approaches were used: (i) experimental measurements (namely the aboveground decomposition, fauna burial activity (bioturbation), microbial respiration, and aboveground herbivory and predation rates); (ii) allometric equations scaled by individual body mass, environmental temperature and phylogenetic group (for the above- and belowground fauna respiration rates and plant respiration); (iii) assimilation rates scaled by diet type (for quantification of belowground fauna excretion and natural mortality); (iv) literature-based rates scaled by biomass of trophic groups (for microbial mortality); and (v) mass-balance assumptions (carbon uptake, plant and aboveground fauna mortality, belowground decomposition, belowground herbivory, and belowground predation). Mass-balance assumption means that the flows are calculated assuming that resource inputs into the compartment (i.e. feeding) balance the rate at which material is lost (i.e. the sum of through excretion, respiration, predation, and natural death). We used constrained nonlinear multivariable optimization to perturb the initial flow rates estimated from the various sources. We assigned confidence ratings for each flow rate, reflecting the quality of empirical data it is based on. We then used the 'fmincon' function from Matlab's optimization toolbox, which utilizes the standard Moore-Penrose pseudoinverse approach to achieve a balanced steady state ecological network model that best reflects the collected field data. Measured data used to parameterize the trophic network models were collected mostly in the year 2010.Network-wide measures that quantify proxies for different aspects of multitrophic ecosystem functioning were calculated for each experimental plot using the 'enaR' package in R. In particular, total energy flow was measured as the sum of all flows through each ecosystem compartment. Flow uniformity was calculated as the ratio of the mean of summed flows through each individual ecosystem compartment divided by the standard deviation of these means. Total-network standing biomass was determined as the sum of standing biomass across all ecosystem compartments. Community maintenance costs were calculated as the ratio of community-wide respiration related to community-wide biomass. Supplement to: Buzhdygan, Oksana Y; Meyer, Sebastian Tobias; Weisser, Wolfgang W; Eisenhauer, Nico; Ebeling, Anne; Borrett, Stuart R; Buchmann, Nina; Cortois, Roeland; De Deyn, Gerlinde B; de Kroon, Hans; Gleixner, Gerd; Hertzog, Lionel R; Hines, Jes; Lange, Markus; Mommer, Liesje; Ravenek, Janneke; Scherber, Christoph; Scherer-Lorenzen, Michael; Scheu, Stefan; Schmid, Bernhard; Steinauer, Katja; Strecker, Tanja; Tietjen, Britta; Vogel, Anja; Weigelt, Alexandra; Petermann, Jana S (2020): Biodiversity increases multitrophic energy use efficiency, flow and storage in grasslands. Nature Ecology & Evolution Most of the data used to parameterize these trophic networks were collected in 2010.A diagram depicting the conceptual trophic-network model developed to describe multitrophic ecosystem functioning can be found in the paper (REF to the NEE paper). This paper also shows the relationship between the individual flows and compartment sizes as well as the network-wide measures with plant species richness. Further sensitivity analyses for the influence of including the highest diversity level are also provided in the paper.
PANGAEA - Data Publi... arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2020License: CC BYData sources: Dataciteadd 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=10.1594/pangaea.910659&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert PANGAEA - Data Publi... arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2020License: CC BYData sources: Dataciteadd 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=10.1594/pangaea.910659&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu
description Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2018 United Kingdom, Germany, United States, United States, United Kingdom, United States, United Kingdom, Netherlands, United KingdomPublisher:Springer Science and Business Media LLC Funded by:NSF | LTER: Biodiversity, Multi..., NSF | LTER: Succession, Biodive..., NSF | LTER: Biodiversity, Distu... +4 projectsNSF| LTER: Biodiversity, Multiple Drivers of Environmental Change and Ecosystem Functioning at the Prairie Forest Border ,NSF| LTER: Succession, Biodiversity and Ecosystem Functioning at the Prairie-Forest Border ,NSF| LTER: Biodiversity, Disturbance and Ecosystem Functioning at the Prairie-Forest Border ,DFG| German Centre for Integrative Biodiversity Research - iDiv ,DFG| Exploring mechanisms underlying the relationship between biodiversity and ecosystem functioning (Jena Experiment) ,NSF| Biodiversity, Environmental Change and Ecosystem Functioning at the Prairie-Forest Boarder ,RSF| Scientific basis of the national biobank - depository of the living systemsH. Wayne Polley; Anne Ebeling; Carl Beierkuhnlein; Brandon S. Schamp; Jane A. Catford; Michael Bahn; Joseph M. Craine; Jens Kattge; Christiane Roscher; Yann Hautier; Nico Eisenhauer; Melinda D. Smith; Gerhard Bönisch; Nathan P. Lemoine; Vladimir G. Onipchenko; Andy Hector; Dylan Craven; Nina Buchmann; Peter B. Reich; Chaeho Byun; William D. Pearse; Forest Isbell; Jürgen Kreyling; Alexandra Weigelt; J. Hans C. Cornelissen; Sebastian T. Meyer; Vanessa Minden; Vanessa Minden; Nadejda A. Soudzilovskaia; Brian J. Wilsey; Anke Jentsch; David Tilman; John N. Griffin; Bruno Enrico Leone Cerabolini; Jasper van Ruijven; Peter Manning; Jes Hines; Enrica De Luca; Vojtěch Lanta;A substantial body of evidence has demonstrated that biodiversity stabilizes ecosystem functioning over time in grassland ecosystems. However, the relative importance of different facets of biodiversity underlying the diversity-stability relationship remains unclear. Here we use data from 39 grassland biodiversity experiments and structural equation modelling to investigate the roles of species richness, phylogenetic diversity and both the diversity and community-weighted mean of functional traits representing the 'fast-slow' leaf economics spectrum in driving the diversity-stability relationship. We found that high species richness and phylogenetic diversity stabilize biomass production via enhanced asynchrony in the performance of co-occurring species. Contrary to expectations, low phylogenetic diversity enhances ecosystem stability directly, albeit weakly. While the diversity of fast-slow functional traits has a weak effect on ecosystem stability, communities dominated by slow species enhance ecosystem stability by increasing mean biomass production relative to the standard deviation of biomass over time. Our in-depth, integrative assessment of factors influencing the diversity-stability relationship demonstrates a more multicausal relationship than has been previously acknowledged.
Utah State Universit... arrow_drop_down Utah State University: DigitalCommons@USUArticle . 2018License: PDMData sources: Bielefeld Academic Search Engine (BASE)DANS (Data Archiving and Networked Services)Article . 2018Data sources: DANS (Data Archiving and Networked Services)Publikationenserver der Georg-August-Universität GöttingenArticle . 2020Leiden University Scholarly Publications RepositoryArticle . 2018Data sources: Leiden University Scholarly Publications RepositoryKing's College, London: Research PortalArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)Nature Ecology & EvolutionArticle . 2018 . Peer-reviewedLicense: Springer Nature TDMData sources: CrossrefDANS (Data Archiving and Networked Services)Article . 2018Data sources: DANS (Data Archiving and Networked Services)University of Western Sydney (UWS): Research DirectArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)Digital Repository @ Iowa State UniversityArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41559-018-0647-7&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 371 citations 371 popularity Top 0.1% influence Top 10% impulse Top 0.1% Powered by BIP!
more_vert Utah State Universit... arrow_drop_down Utah State University: DigitalCommons@USUArticle . 2018License: PDMData sources: Bielefeld Academic Search Engine (BASE)DANS (Data Archiving and Networked Services)Article . 2018Data sources: DANS (Data Archiving and Networked Services)Publikationenserver der Georg-August-Universität GöttingenArticle . 2020Leiden University Scholarly Publications RepositoryArticle . 2018Data sources: Leiden University Scholarly Publications RepositoryKing's College, London: Research PortalArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)Nature Ecology & EvolutionArticle . 2018 . Peer-reviewedLicense: Springer Nature TDMData sources: CrossrefDANS (Data Archiving and Networked Services)Article . 2018Data sources: DANS (Data Archiving and Networked Services)University of Western Sydney (UWS): Research DirectArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)Digital Repository @ Iowa State UniversityArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41559-018-0647-7&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022Embargo end date: 14 Dec 2022 Germany, SwitzerlandPublisher:Springer Science and Business Media LLC Funded by:SNSF | Fundamental biological ca..., DFG | Exploring mechanisms unde..., DFG +1 projectsSNSF| Fundamental biological causes of changing plant diversity-productivity relationships ,DFG| Exploring mechanisms underlying the relationship between biodiversity and ecosystem functioning (Jena Experiment) ,DFG ,SNSF| Community history, biodiversity and ecosystem functioningWagg, Cameron; Roscher, Christiane; Weigelt, Alexandra; Vogel, Anja; Ebeling, Anne; De Luca, Enrica; Roeder, Anna; Kleinspehn, Clemens; Temperton, Vicky M; Meyer, Sebastian T; Scherer-Lorenzen, Michael; Buchmann, Nina; Fischer, Markus; Weisser, Wolfgang W; Eisenhauer, Nico; Schmid, Bernhard;pmid: 36517483
pmc: PMC9751076
AbstractNumerous studies have demonstrated that biodiversity drives ecosystem functioning, yet how biodiversity loss alters ecosystems functioning and stability in the long-term lacks experimental evidence. We report temporal effects of species richness on community productivity, stability, species asynchrony, and complementarity, and how the relationships among them change over 17 years in a grassland biodiversity experiment. Productivity declined more rapidly in less diverse communities resulting in temporally strengthening positive effects of richness on productivity, complementarity, and stability. In later years asynchrony played a more important role in increasing community stability as the negative effect of richness on population stability diminished. Only during later years did species complementarity relate to species asynchrony. These results show that species complementarity and asynchrony can take more than a decade to develop strong stabilizing effects on ecosystem functioning in diverse plant communities. Thus, the mechanisms stabilizing ecosystem functioning change with community age.
Bern Open Repository... arrow_drop_down Bern Open Repository and Information System (BORIS)Article . 2022 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)University of Freiburg: FreiDokArticle . 2022Full-Text: https://freidok.uni-freiburg.de/data/235310Data sources: Bielefeld Academic Search Engine (BASE)Zurich Open Repository and ArchiveArticle . 2022License: CC BYData sources: Zurich Open Repository and Archiveadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41467-022-35189-2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 76 citations 76 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Bern Open Repository... arrow_drop_down Bern Open Repository and Information System (BORIS)Article . 2022 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)University of Freiburg: FreiDokArticle . 2022Full-Text: https://freidok.uni-freiburg.de/data/235310Data sources: Bielefeld Academic Search Engine (BASE)Zurich Open Repository and ArchiveArticle . 2022License: CC BYData sources: Zurich Open Repository and Archiveadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41467-022-35189-2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2017Embargo end date: 01 Jan 2017 France, France, Germany, Netherlands, Germany, Germany, Germany, Switzerland, France, Netherlands, Netherlands, Germany, Netherlands, Netherlands, NetherlandsPublisher:Elsevier BV Funded by:DFG, DFG | Exploring mechanisms unde...DFG ,DFG| Exploring mechanisms underlying the relationship between biodiversity and ecosystem functioning (Jena Experiment)Wolfgang Wilcke; Nico Eisenhauer; François Buscot; Michael Wachendorf; Christiane Roscher; Arthur Gessler; Yvonne Oelmann; Christoph Scherber; Jacques Roy; Eric Allan; Michael Scherer-Lorenzen; Liesje Mommer; Helmut Hillebrand; Christine Fischer; Christine Fischer; Guangjuan Luo; Bernhard Schmid; Markus Fischer; Hans de Kroon; Cameron Wagg; Raphaël Proulx; Holger Beßler; Stefan Scheu; Stefan Halle; Markus Lange; Nina Buchmann; Teja Tscharntke; Pascal A. Niklaus; Pascal A. Niklaus; Christian Wirth; Christof Engels; Anne Ebeling; Alexandra Weigelt; Ernst Detlef Schulze; Sophia Leimer; Sebastian T. Meyer; Alexandru Milcu; Alexandru Milcu; Romain L. Barnard; Romain L. Barnard; Anke Hildebrandt; Anke Hildebrandt; Wolfgang W. Weisser; Xavier Le Roux; Gerd Gleixner;In the past two decades, a large number of studies have investigated the relationship between biodiversity and ecosystem functioning, most of which focussed on a limited set of ecosystem variables. The Jena Experiment was set up in 2002 to investigate the effects of plant diversity on element cycling and trophic interactions, using a multi-disciplinary approach. Here, we review the results of 15 years of research in the Jena Experiment, focussing on the effects of manipulating plant species richness and plant functional richness. With more than 85,000 measures taken from the plant diversity plots, the Jena Experiment has allowed answering fundamental questions important for functional biodiversity research. First, the question was how general the effect of plant species richness is, regarding the many different processes that take place in an ecosystem. About 45% of different types of ecosystem processes measured in the ‘main experiment’, where plant species richness ranged from 1 to 60 species, were significantly affected by plant species richness, providing strong support for the view that biodiversity is a significant driver of ecosystem functioning. Many measures were not saturating at the 60-species level, but increased linearly with the logarithm of species richness. There was, however, great variability in the strength of response among different processes. One striking pattern was that many processes, in particular belowground processes, took several years to respond to the manipulation of plant species richness, showing that biodiversity experiments have to be long-term, to distinguish trends from transitory patterns. In addition, the results from the Jena Experiment provide further evidence that diversity begets stability, for example stability against invasion of plant species, but unexpectedly some results also suggested the opposite, e.g. when plant communities experience severe perturbations or elevated resource availability. This highlights the need to revisit diversity–stability theory. Second, we explored whether individual plant species or individual plant functional groups, or biodiversity itself is more important for ecosystem functioning, in particular biomass production. We found strong effects of individual species and plant functional groups on biomass production, yet these effects mostly occurred in addition to, but not instead of, effects of plant species richness. Third, the Jena Experiment assessed the effect of diversity on multitrophic interactions. The diversity of most organisms responded positively to increases in plant species richness, and the effect was stronger for above- than for belowground organisms, and stronger for herbivores than for carnivores or detritivores. Thus, diversity begets diversity. In addition, the effect on organismic diversity was stronger than the effect on species abundances. Fourth, the Jena Experiment aimed to assess the effect of diversity on N, P and C cycling and the water balance of the plots, separating between element input into the ecosystem, element turnover, element stocks, and output from the ecosystem. While inputs were generally less affected by plant species richness, measures of element stocks, turnover and output were often positively affected by plant diversity, e.g. carbon storage strongly increased with increasing plant species richness. Variables of the N cycle responded less strongly to plant species richness than variables of the C cycle. Fifth, plant traits are often used to unravel mechanisms underlying the biodiversity–ecosystem functioning relationship. In the Jena Experiment, most investigated plant traits, both above- and belowground, were plastic and trait expression depended on plant diversity in a complex way, suggesting limitation to using database traits for linking plant traits to particular functions. Sixth, plant diversity effects on ecosystem processes are often caused by plant diversity effects on species interactions. Analyses in the Jena Experiment including structural equation modelling suggest complex interactions that changed with diversity, e.g. soil carbon storage and greenhouse gas emission were affected by changes in the composition and activity of the belowground microbial community. Manipulation experiments, in which particular organisms, e.g. belowground invertebrates, were excluded from plots in split-plot experiments, supported the important role of the biotic component for element and water fluxes. Seventh, the Jena Experiment aimed to put the results into the context of agricultural practices in managed grasslands. The effect of increasing plant species richness from 1 to 16 species on plant biomass was, in absolute terms, as strong as the effect of a more intensive grassland management, using fertiliser and increasing mowing frequency. Potential bioenergy production from high-diversity plots was similar to that of conventionally used energy crops. These results suggest that diverse ‘High Nature Value Grasslands’ are multifunctional and can deliver a range of ecosystem services including production-related services. A final task was to assess the importance of potential artefacts in biodiversity–ecosystem functioning relationships, caused by the weeding of the plant community to maintain plant species composition. While the effort (in hours) needed to weed a plot was often negatively related to plant species richness, species richness still affected the majority of ecosystem variables. Weeding also did not negatively affect monoculture performance; rather, monocultures deteriorated over time for a number of biological reasons, as shown in plant-soil feedback experiments. To summarize, the Jena Experiment has allowed for a comprehensive analysis of the functional role of biodiversity in an ecosystem. A main challenge for future biodiversity research is to increase our mechanistic understanding of why the magnitude of biodiversity effects differs among processes and contexts. It is likely that there will be no simple answer. For example, among the multitude of mechanisms suggested to underlie the positive plant species richness effect on biomass, some have received limited support in the Jena Experiment, such as vertical root niche partitioning. However, others could not be rejected in targeted analyses. Thus, from the current results in the Jena Experiment, it seems likely that the positive biodiversity effect results from several mechanisms acting simultaneously in more diverse communities, such as reduced pathogen attack, the presence of more plant growth promoting organisms, less seed limitation, and increased trait differences leading to complementarity in resource uptake. Distinguishing between different mechanisms requires careful testing of competing hypotheses. Biodiversity research has matured such that predictive approaches testing particular mechanisms are now possible. Basic and Applied Ecology, 23 ISSN:1439-1791 ISSN:1618-0089
Hyper Article en Lig... arrow_drop_down University of Freiburg: FreiDokArticle . 2017Full-Text: https://freidok.uni-freiburg.de/data/175599Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2017License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)Publikationenserver der Georg-August-Universität GöttingenArticle . 2017 . Peer-reviewedBern Open Repository and Information System (BORIS)Article . 2017 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Göttingen Research Online PublicationsArticle . 2019License: CC BY NC NDData sources: Göttingen Research Online PublicationsWageningen Staff PublicationsArticle . 2017License: CC BY NC NDData sources: Wageningen Staff PublicationsZurich Open Repository and ArchiveArticle . 2017 . Peer-reviewedLicense: CC BY NC NDData sources: Zurich Open Repository and ArchiveInstitut National de la Recherche Agronomique: ProdINRAArticle . 2017License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)Eberhard Karls University Tübingen: Publication SystemArticle . 2017Data sources: Bielefeld Academic Search Engine (BASE)HAL - Université de Bourgogne (HAL-uB)Other literature type . 2017Data sources: HAL - Université de Bourgogne (HAL-uB)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.baae.2017.06.002&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 340 citations 340 popularity Top 0.1% influence Top 10% impulse Top 0.1% Powered by BIP!
more_vert Hyper Article en Lig... arrow_drop_down University of Freiburg: FreiDokArticle . 2017Full-Text: https://freidok.uni-freiburg.de/data/175599Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2017License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)Publikationenserver der Georg-August-Universität GöttingenArticle . 2017 . Peer-reviewedBern Open Repository and Information System (BORIS)Article . 2017 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Göttingen Research Online PublicationsArticle . 2019License: CC BY NC NDData sources: Göttingen Research Online PublicationsWageningen Staff PublicationsArticle . 2017License: CC BY NC NDData sources: Wageningen Staff PublicationsZurich Open Repository and ArchiveArticle . 2017 . Peer-reviewedLicense: CC BY NC NDData sources: Zurich Open Repository and ArchiveInstitut National de la Recherche Agronomique: ProdINRAArticle . 2017License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)Eberhard Karls University Tübingen: Publication SystemArticle . 2017Data sources: Bielefeld Academic Search Engine (BASE)HAL - Université de Bourgogne (HAL-uB)Other literature type . 2017Data sources: HAL - Université de Bourgogne (HAL-uB)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.baae.2017.06.002&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2013Publisher:Springer Science and Business Media LLC Funded by:DFG | Exploring mechanisms unde..., NSERCDFG| Exploring mechanisms underlying the relationship between biodiversity and ecosystem functioning (Jena Experiment) ,NSERCTill Eggers; Wolfgang W. Weisser; Wolfgang W. Weisser; Jessy Loranger; Hannah Loranger; Hannah Loranger; Enrica De Luca; Sebastian T. Meyer; Sebastian T. Meyer; Anne Ebeling; Christiane Roscher;pmid: 23907703
Plant diversity is a key driver of ecosystem functioning best documented for its influence on plant productivity. The strength and direction of plant diversity effects on species interactions across trophic levels are less clear. For example, with respect to the interactions between herbivorous invertebrates and plants, a number of competing hypotheses have been proposed that predict either increasing or decreasing community herbivory with increasing plant species richness. We investigated foliar herbivory rates and consumed leaf biomass along an experimental grassland plant diversity gradient in year eight after establishment. The gradient ranged from one to 60 plant species and manipulated also functional group richness (from one to four functional groups-legumes, grasses, small herbs, and tall herbs) and plant community composition. Measurements in monocultures of each plant species showed that functional groups differed in the quantity and quality of herbivory damage they experienced, with legumes being more damaged than grasses or non-legume herbs. In mixed plant communities, herbivory increased with plant diversity and the presence of two key plant functional groups in mixtures had a positive (legumes) and a negative (grasses) effect on levels of herbivory. Further, plant community biomass had a strong positive impact on consumed leaf biomass, but little effect on herbivory rates. Our results contribute detailed data from a well-established biodiversity experiment to a growing body of evidence suggesting that an increase of herbivory with increasing plant diversity is the rule rather than an exception. Considering documented effects of herbivory on other ecosystem functions and the increase of herbivory with plant diversity, levels of herbivory damage might not only be a result, but also a trigger within the diversity-productivity relationship.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s00442-013-2741-5&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu68 citations 68 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s00442-013-2741-5&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2020Embargo end date: 01 Mar 2020 Netherlands, Germany, Switzerland, Germany, SwitzerlandPublisher:Springer Science and Business Media LLC Funded by:DFG | Exploring mechanisms unde..., DFGDFG| Exploring mechanisms underlying the relationship between biodiversity and ecosystem functioning (Jena Experiment) ,DFGKatja Steinauer; Stefan Scheu; Hans de Kroon; Jana S. Petermann; Wolfgang W. Weisser; Markus Lange; Oksana Y. Buzhdygan; Oksana Y. Buzhdygan; Stuart R. Borrett; Stuart R. Borrett; Anja Vogel; Anja Vogel; Nico Eisenhauer; Christoph Scherber; Liesje Mommer; Nina Buchmann; Michael Scherer-Lorenzen; Roeland Cortois; Gerd Gleixner; Alexandra Weigelt; Tanja Strecker; Britta Tietjen; Jes Hines; Bernhard Schmid; Janneke Ravenek; Gerlinde B. De Deyn; Lionel R. Hertzog; Anne Ebeling; Sebastian T. Meyer;pmid: 32094542
Nature Ecology & Evolution, 4 ISSN:2397-334X
Nature Ecology & Evo... arrow_drop_down Publikationenserver der Georg-August-Universität GöttingenArticle . 2020Nature Ecology & EvolutionArticle . 2020 . Peer-reviewedLicense: Springer Nature 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=10.1038/s41559-020-1123-8&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 76 citations 76 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Nature Ecology & Evo... arrow_drop_down Publikationenserver der Georg-August-Universität GöttingenArticle . 2020Nature Ecology & EvolutionArticle . 2020 . Peer-reviewedLicense: Springer Nature 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=10.1038/s41559-020-1123-8&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2020Publisher:PANGAEA Authors: van der Plas, Fons; Schröder-Georgi, Thomas; Weigelt, Alexandra; Barry, Kathryn; +29 Authorsvan der Plas, Fons; Schröder-Georgi, Thomas; Weigelt, Alexandra; Barry, Kathryn; Meyer, Sebastian Tobias; Alzate, Adriana; Barnard, Romain L; Buchmann, Nina; de Kroon, Hans; Ebeling, Anne; Eisenhauer, Nico; Engels, Christof; Fischer, Markus; Gleixner, Gerd; Hildebrandt, Anke; Koller-France, Eva; Leimer, Sophia; Milcu, Alexandru; Mommer, Liesje; Niklaus, Pascal A; Oelmann, Yvonne; Roscher, Christiane; Scherber, Christoph; Scherer-Lorenzen, Michael; Scheu, Stefan; Schmid, Bernhard; Schulze, Ernst-Detlef; Temperton, Vicky; Tscharntke, Teja; Voigt, Winfried; Weisser, Wolfgang W; Wilcke, Wolfgang; Wirth, Christian;Data on plant communities (biomass and relative cover of all target species), plant traits (41 different traits, measured on 59 species), and 42 ecosystem properties/functions, measured between 2003 and 2012 in the Jena Main Biodiversity experiment. In floodplain grasslands of the Saale river, near Jena (Germany) 78 20x20 m grassland plots were set up, in which combinations of 1, 2, 4, 8 or 16 species were sown, from a species pool of 60. Thereby, the aim was to create a gradient in plant species richness and functional composition. In each year from 2003-2012, relative cover (in %) of each target species was estimated within 3x3 m subplots. In addition, plant biomass was measured in both spring and summer.In addition, we compiled trait data for 59 of the 60 sown species, based on a combination of existing literature, pot experiments and measurements in the Jena Main Biodiversity experiment monoculture (1-species) plots. Data on 41 traits was collected. Finally, we measured in 41 different ecosystem functions in the Jena Main Biodiversity experiment. Each ecosystem function was measured in at least 3 different years between 2003 and 2012.The "R2.model.random.text[x]" (where x is a number from 1 to 40) are secondary data files, and the outcome of statistical models. In these, 100 times a random subset of 1 to 40 (out of the 41) plant traits were analysed as predictors of the 42 ecosystem functions, in order to assess how the proportion of variance in ecosystem functioning explained by traits (R2 values) depends on the number of traits analysed.
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=10.1594/pangaea.923591&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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=10.1594/pangaea.923591&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2020Embargo end date: 02 Sep 2024 Germany, Germany, France, France, Germany, Germany, NetherlandsPublisher:Springer Science and Business Media LLC Markus Fischer; Yvonne Oelmann; Wolfgang Wilcke; Nico Eisenhauer; Alexandra Weigelt; Thomas Schröder-Georgi; Teja Tscharntke; Fons van der Plas; Michael Scherer-Lorenzen; Christoph Scherber; Gerd Gleixner; Wolfgang W. Weisser; Hans de Kroon; Sophia Leimer; Nina Buchmann; Liesje Mommer; Adriana Alzate; Christian Wirth; Christian Wirth; Bernhard Schmid; Bernhard Schmid; Christiane Roscher; Kathryn E. Barry; Christof Engels; Romain L. Barnard; Anke Hildebrandt; Anke Hildebrandt; Winfried Voigt; Eva Koller-France; Vicky M. Temperton; Pascal A. Niklaus; E.-D. Schulze; Stefan Scheu; Sebastian T. Meyer; Anne Ebeling; Alexandru Milcu; Alexandru Milcu;Earth is home to over 350,000 vascular plant species that differ in their traits in innumerable ways. A key challenge is to predict how natural or anthropogenically driven changes in the identity, abundance and diversity of co-occurring plant species drive important ecosystem-level properties such as biomass production or carbon storage. Here, we analyse the extent to which 42 different ecosystem properties can be predicted by 41 plant traits in 78 experimentally manipulated grassland plots over 10 years. Despite the unprecedented number of traits analysed, the average percentage of variation in ecosystem properties jointly explained was only moderate (32.6%) within individual years, and even much lower (12.7%) across years. Most other studies linking ecosystem properties to plant traits analysed no more than six traits and, when including only six traits in our analysis, the average percentage of variation explained in across-year levels of ecosystem properties dropped to 4.8%. Furthermore, we found on average only 12.2% overlap in significant predictors among ecosystem properties, indicating that a small set of key traits able to explain multiple ecosystem properties does not exist. Our results therefore suggest that there are specific limits to the extent to which traits per se can predict the long-term functional consequences of biodiversity change, so that data on additional drivers, such as interacting abiotic factors, may be required to improve predictions of ecosystem property levels.
KITopen (Karlsruhe I... arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)Publikationenserver der Georg-August-Universität GöttingenArticle . 2021Nature Ecology & EvolutionArticle . 2020 . Peer-reviewedLicense: Springer Nature TDMData sources: CrossrefHAL - Université de Bourgogne (HAL-uB)Other literature type . 2020Data sources: HAL - Université de Bourgogne (HAL-uB)Universitätsbibliographie, Universität Duisburg-EssenArticle . 2020Data sources: Universitätsbibliographie, Universität Duisburg-EssenInstitut National de la Recherche Agronomique: ProdINRAArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)Eberhard Karls University Tübingen: Publication SystemArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41559-020-01316-9&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 143 citations 143 popularity Top 1% influence Top 10% impulse Top 0.1% Powered by BIP!
more_vert KITopen (Karlsruhe I... arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)Publikationenserver der Georg-August-Universität GöttingenArticle . 2021Nature Ecology & EvolutionArticle . 2020 . Peer-reviewedLicense: Springer Nature TDMData sources: CrossrefHAL - Université de Bourgogne (HAL-uB)Other literature type . 2020Data sources: HAL - Université de Bourgogne (HAL-uB)Universitätsbibliographie, Universität Duisburg-EssenArticle . 2020Data sources: Universitätsbibliographie, Universität Duisburg-EssenInstitut National de la Recherche Agronomique: ProdINRAArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)Eberhard Karls University Tübingen: Publication SystemArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41559-020-01316-9&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2023 GermanyPublisher:Springer Science and Business Media LLC Funded by:DFGDFGM. Bröcher; A. Ebeling; L. Hertzog; C. Roscher; W. Weisser; S. T. Meyer;AbstractInvertebrate herbivory can shape plant communities when impacting growth and fitness of some plant species more than other species. Previous studies showed that herbivory varies among plant species and that species-specific herbivory is affected by the diversity of the surrounding plant community. However, mechanisms underlying this variation are still poorly understood. In this study, we investigate how plant traits and plant apparency explain differences in herbivory among plant species and we explore the effect of plant community diversity on these species-specific relationships. We found that species differed in the herbivory they experienced. Forbs were three times more damaged by herbivores than grasses. Variability within grasses was caused by differences in leaf dry matter content (LDMC). Furthermore, higher plant diversity increased herbivory on 15 plant species and decreased herbivory on nine species. Variation within forb and grass species in their response to changing plant diversity was best explained by species’ physical resistance (LDMC, forbs) and biomass (grasses). Overall, our results show that herbivory and diversity effects on herbivory differ among species, and that, depending on the plant functional group, either species-specific traits or apparency are driving those differences. Thus, herbivores might selectively consume palatable forbs or abundant grasses with contrasting consequences for plant community composition in grasslands dominated by either forbs or grasses.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s00442-023-05361-6&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 10 citations 10 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=10.1007/s00442-023-05361-6&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2017Publisher:PANGAEA Ebeling, Anne; Rzanny, Michael; Lange, Markus; Eisenhauer, Nico; Hertzog, Lionel R; Meyer, Sebastian Tobias; Weisser, Wolfgang W;This data contains information on the functional structure of consumer communities per plot from a grassland biodiversity experiment (the Jena Experiment). For each consumer species we assigned the four categorical traits feeding mode, food/ host specialization, stratum, and aerial mobility, and the numerical trait body mass (mg). Functional structure here is expressed by number of individuals belonging to the different categories within each trait and the community weighted mean of body mass.
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=10.1594/pangaea.879540&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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=10.1594/pangaea.879540&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset , Other dataset type 2020 NetherlandsPublisher:PANGAEA Funded by:DFG, DFG | Exploring mechanisms unde...DFG ,DFG| Exploring mechanisms underlying the relationship between biodiversity and ecosystem functioning (Jena Experiment)Authors: Buzhdygan, Oksana Y; Meyer, Sebastian Tobias; Weisser, Wolfgang W; Eisenhauer, Nico; +22 AuthorsBuzhdygan, Oksana Y; Meyer, Sebastian Tobias; Weisser, Wolfgang W; Eisenhauer, Nico; Ebeling, Anne; Borrett, Stuart R; Buchmann, Nina; Cortois, Roeland; De Deyn, Gerlinde B; de Kroon, Hans; Gleixner, Gerd; Hertzog, Lionel R; Hines, Jes; Lange, Markus; Mommer, Liesje; Ravenek, Janneke; Scherber, Christoph; Scherer-Lorenzen, Michael; Scheu, Stefan; Schmid, Bernhard; Steinauer, Katja; Strecker, Tanja; Tietjen, Britta; Vogel, Anja; Weigelt, Alexandra; Petermann, Jana S;This data set contains measures of energy-use efficiency, energy flow, and energy storage in units of dry biomass that quantify the multitrophic ecosystem functioning realized in grassland ecosystems of differing plant diversity. Given are both the measures integrated over whole ecosystems (total network measures) as well as the energy dynamics associated with individual ecosystem compartments including the entire biological community and detrital compartments across the above- and belowground parts of the ecosystem.Data presented here is from the Main Experiment plots of a large grassland biodiversity experiment (the Jena Experiment, see further details below). In the main experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown into the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, 4 functional groups). Study plots are grouped in four blocks in parallel to the river in order to account for any effect of a gradient in abiotic soil properties. Each block contains an equal number of plots of each plant species richness and plant functional group richness level. Plots were maintained in general by bi-annual weeding and mowing. Since 2010, plot size was reduced to 5.5 x 6 m and plots were weeded three times per year.Trophic-network models were constructed for 80 of the experimental plots, and represent the ecosystem energy budget in the currency of dry-mass (g m-2 for standing stocks and g m-2 d-1 for flows). All trophic networks have the same topology, but they differ in the estimated size of the standing stock biomass of individual compartments (g m-2) and flows among the compartments (g m-2 d-1). Each trophic network contains twelve ecosystem compartments representing distinct trophic groups of the above- and belowground parts of the ecosystem (i.e., plants, soil microbial community, and above- and belowground herbivores, carnivores, omnivores, decomposers, all represented by invertebrate macro- and mesofauna) and detrital pools (i.e., surface litter and soil organic matter). Vertebrates were not considered in our study due to limitations of data availability and because the impact of resident vertebrates in our experimental system is expected to be minimal. Larger grazing vertebrates were excluded by a fence around the field site, though there was some occasional grazing by voles.Compartments are connected by 41 flows. Flows (fluxes) constitute 30 internal flows within the system, namely feeding (herbivory, predation, decomposition), excretion, mortality, and mechanical transformation of surface litter due to bioturbation plus eleven 11 external flows, i.e. one input (flows entering the system, namely carbon uptake by plants) and ten output flows (flows leaving the system, namely respiration losses). The ecosystem inflow (a flow entering the system) and outflows (flows leaving the system) represent carbon uptake and respiration losses, respectively. In the case of consumer groups, the food consumed (compartment-wide input flow) is further split into excretion (not assimilated organic material that is returned to detrital pools in the form of fecesfaeces) and assimilated organic material, which is further split into respiration (energy lost out of the system to the environment) and biomass production, which is further consumed by higher trophic levels due to predation or returned to detrital pools in the form of mortality (natural mortality or prey residues). In case of detrital pools (i.e. surface litter and soil organic matter), the input flows are in the form of excretion and mortality from the biota compartments, and output flows are in the form of feeding by decomposers and soil microorganisms (i.e. decomposition). Surface litter and soil organic matter are connected by flows in the form of burrowing (mechanical transportation) of organic material from the surface to the soil by soil fauna. Organism immigration and emigration are not considered in our study due to limited data availability.Flows were quantified using resource processing rates (i.e. the feeding rates at which material is taken from a source) multiplied with the standing biomass of the respective source compartment. To approximate resource processing rates, different approaches were used: (i) experimental measurements (namely the aboveground decomposition, fauna burial activity (bioturbation), microbial respiration, and aboveground herbivory and predation rates); (ii) allometric equations scaled by individual body mass, environmental temperature and phylogenetic group (for the above- and belowground fauna respiration rates and plant respiration); (iii) assimilation rates scaled by diet type (for quantification of belowground fauna excretion and natural mortality); (iv) literature-based rates scaled by biomass of trophic groups (for microbial mortality); and (v) mass-balance assumptions (carbon uptake, plant and aboveground fauna mortality, belowground decomposition, belowground herbivory, and belowground predation). Mass-balance assumption means that the flows are calculated assuming that resource inputs into the compartment (i.e. feeding) balance the rate at which material is lost (i.e. the sum of through excretion, respiration, predation, and natural death). We used constrained nonlinear multivariable optimization to perturb the initial flow rates estimated from the various sources. We assigned confidence ratings for each flow rate, reflecting the quality of empirical data it is based on. We then used the 'fmincon' function from Matlab's optimization toolbox, which utilizes the standard Moore-Penrose pseudoinverse approach to achieve a balanced steady state ecological network model that best reflects the collected field data. Measured data used to parameterize the trophic network models were collected mostly in the year 2010.Network-wide measures that quantify proxies for different aspects of multitrophic ecosystem functioning were calculated for each experimental plot using the 'enaR' package in R. In particular, total energy flow was measured as the sum of all flows through each ecosystem compartment. Flow uniformity was calculated as the ratio of the mean of summed flows through each individual ecosystem compartment divided by the standard deviation of these means. Total-network standing biomass was determined as the sum of standing biomass across all ecosystem compartments. Community maintenance costs were calculated as the ratio of community-wide respiration related to community-wide biomass. Supplement to: Buzhdygan, Oksana Y; Meyer, Sebastian Tobias; Weisser, Wolfgang W; Eisenhauer, Nico; Ebeling, Anne; Borrett, Stuart R; Buchmann, Nina; Cortois, Roeland; De Deyn, Gerlinde B; de Kroon, Hans; Gleixner, Gerd; Hertzog, Lionel R; Hines, Jes; Lange, Markus; Mommer, Liesje; Ravenek, Janneke; Scherber, Christoph; Scherer-Lorenzen, Michael; Scheu, Stefan; Schmid, Bernhard; Steinauer, Katja; Strecker, Tanja; Tietjen, Britta; Vogel, Anja; Weigelt, Alexandra; Petermann, Jana S (2020): Biodiversity increases multitrophic energy use efficiency, flow and storage in grasslands. Nature Ecology & Evolution Most of the data used to parameterize these trophic networks were collected in 2010.A diagram depicting the conceptual trophic-network model developed to describe multitrophic ecosystem functioning can be found in the paper (REF to the NEE paper). This paper also shows the relationship between the individual flows and compartment sizes as well as the network-wide measures with plant species richness. Further sensitivity analyses for the influence of including the highest diversity level are also provided in the paper.
PANGAEA - Data Publi... arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2020License: CC BYData sources: Dataciteadd 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=10.1594/pangaea.910659&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert PANGAEA - Data Publi... arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2020License: CC BYData sources: Dataciteadd 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=10.1594/pangaea.910659&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu