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description Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2019 NetherlandsPublisher:Springer Science and Business Media LLC Funded by:NWO | Playing hide-and-seek: ho...NWO| Playing hide-and-seek: how interactions between soil-borne fungi and grassland plant species control coexistenceAuthors: Annemiek E. Smit-Tiekstra; Eric J. W. Visser; Hannie de Caluwe; Francisco M. Padilla; +3 AuthorsAnnemiek E. Smit-Tiekstra; Eric J. W. Visser; Hannie de Caluwe; Francisco M. Padilla; Francisco M. Padilla; Liesje Mommer; Hans de Kroon;pmid: 31401664
pmc: PMC6732129
Global climate models predict more frequent periods of drought stress alternated by heavier, but fewer rainfall events in the future. Biodiversity studies have shown that such changed drought stress may be mitigated by plant species richness. Here, we investigate if grassland communities, differing in species richness, respond differently to climatic extremes within the growing season. In a 3-year outdoor mesocosm experiment, four grassland species in both monoculture and mixture were subjected to a rainfall distribution regime with two levels: periods of severe drought in the summer intermitted by extreme rainfall events versus regular rainfall over time. Both treatments received the same amount of water over the season. Extreme rainfall combined with drought periods resulted in a 15% decrease in aboveground biomass in the second and third year, compared to the regular rainfall regime. Root biomass was also reduced in the extreme rainfall treatment, particularly in the top soil layer (- 40%). All species developed higher water use efficiencies (less negative leaf δ13C) in extreme rainfall than in regular rainfall. These responses to the rainfall/drought treatment were independent of species richness, although the mixtures were on an average more productive in terms of biomass than the monocultures. Our experimental results suggest that mixtures are similarly able to buffer these within-season rainfall extremes than monocultures, which contrasts with findings in the studies on natural droughts. Our work demonstrates the importance of investigating the interactions between rainfall distribution and drought periods for understanding effects of climate change on plant community performance.
Oecologia arrow_drop_down Wageningen Staff PublicationsArticle . 2019License: CC BYData sources: Wageningen Staff Publicationsadd 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/s00442-019-04476-z&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 22 citations 22 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Oecologia arrow_drop_down Wageningen Staff PublicationsArticle . 2019License: CC BYData sources: Wageningen Staff Publicationsadd 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/s00442-019-04476-z&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2018 United Kingdom, Netherlands, United KingdomPublisher:Wiley Funded by:NWO | Playing hide-and-seek: ho...NWO| Playing hide-and-seek: how interactions between soil-borne fungi and grassland plant species control coexistenceAuthors: Judith E. van de Mortel; Hans de Kroon; Jos M. Raaijmakers; Aad J. Termorshuizen; +11 AuthorsJudith E. van de Mortel; Hans de Kroon; Jos M. Raaijmakers; Aad J. Termorshuizen; Frank Berendse; T. E. Anne Cotton; T. E. Anne Cotton; Elio Schijlen; Jasper van Ruijven; Alex J. Dumbrell; Liesje Mommer; Sophia Q. van Rijssel; Marloes Hendriks; Annemiek E. Smit-Tiekstra; Jan Willem van der Paauw;Summary There is consensus that plant species richness enhances plant productivity within natural grasslands, but the underlying drivers remain debated. Recently, differential accumulation of soil‐borne fungal pathogens across the plant diversity gradient has been proposed as a cause of this pattern. However, the below‐ground environment has generally been treated as a ‘black box’ in biodiversity experiments, leaving these fungi unidentified. Using next generation sequencing and pathogenicity assays, we analysed the community composition of root‐associated fungi from a biodiversity experiment to examine if evidence exists for host specificity and negative density dependence in the interplay between soil‐borne fungi, plant diversity and productivity. Plant species were colonised by distinct (pathogenic) fungal communities and isolated fungal species showed negative, species‐specific effects on plant growth. Moreover, 57% of the pathogenic fungal operational taxonomic units (OTUs) recorded in plant monocultures were not detected in eight plant species plots, suggesting a loss of pathogenic OTUs with plant diversity. Our work provides strong evidence for host specificity and negative density‐dependent effects of root‐associated fungi on plant species in grasslands. Our work substantiates the hypothesis that fungal root pathogens are an important driver of biodiversity‐ecosystem functioning relationships.
University of Essex ... arrow_drop_down University of Essex Research RepositoryArticle . 2018License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Wageningen Staff PublicationsArticle . 2018License: CC BY NC NDData sources: Wageningen Staff PublicationsThe University of Manchester - Institutional RepositoryArticle . 2018Data sources: The University of Manchester - Institutional Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/nph.15036&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 189 citations 189 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert University of Essex ... arrow_drop_down University of Essex Research RepositoryArticle . 2018License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Wageningen Staff PublicationsArticle . 2018License: CC BY NC NDData sources: Wageningen Staff PublicationsThe University of Manchester - Institutional RepositoryArticle . 2018Data sources: The University of Manchester - Institutional Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/nph.15036&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Preprint 2024 Germany, Germany, NetherlandsPublisher:Cold Spring Harbor Laboratory Publicly fundedFunded by:DFG, DFG | German Centre for Integra...DFG ,DFG| German Centre for Integrative Biodiversity Research - iDivJustus Hennecke; Leonardo Bassi; Cynthia Albracht; Angelos Amyntas; Joana Bergmann; Nico Eisenhauer; Aaron Fox; Lea Heimbold; Anna Heintz-Buschart; Thomas W. Kuyper; Markus Lange; Yuri Pinheiro Alves de Souza; Akanksha Rai; Marcel Dominik Solbach; Liesje Mommer; Alexandra Weigelt;pmid: 39737799
pmc: PMC11687415
AbstractTrait-based approaches have been increasingly used to relate plants to soil microbial communities. However, the plant organs mediating this plant-microbe interaction – the roots – have been largely overlooked. The recent discovery of the root economics space offers a predictive framework for the structure of soil microbial communities, and specifically soil-borne fungal communities. Applying this novel approach, our study in a grassland plant diversity experiment reveals distinct root trait strategies at the level of the plant community. In addition to significant effects of plant species richness, we show that both axes of the root economics space – the collaboration and conservation gradient – are strong drivers of the composition of the different guilds of soil fungi, including saprotrophic, plant pathogenic, and mycorrhizal fungi. Our results illustrate that the root economics space and plant species richness jointly determine the effects of plants on fungal communities and their potential role in plant health and ecosystem functioning.
Ecology Letters arrow_drop_down Ecology LettersArticle . 2025License: CC BYData sources: Universiteit van Amsterdam Digital Academic RepositoryWageningen Staff PublicationsArticle . 2025License: CC BYData sources: Wageningen Staff PublicationsUniversiteit van Amsterdam: Digital Academic Repository (UvA DARE)Article . 2025Data 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=10.1101/2024.03.20.585751&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 2 citations 2 popularity Average influence Average impulse Average Powered by BIP!
more_vert Ecology Letters arrow_drop_down Ecology LettersArticle . 2025License: CC BYData sources: Universiteit van Amsterdam Digital Academic RepositoryWageningen Staff PublicationsArticle . 2025License: CC BYData sources: Wageningen Staff PublicationsUniversiteit van Amsterdam: Digital Academic Repository (UvA DARE)Article . 2025Data 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=10.1101/2024.03.20.585751&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2019Embargo end date: 01 Jan 2020 Netherlands, France, France, Switzerland, Switzerland, GermanyPublisher:Wiley Funded by:NSF | LTREB Renewal: Long-term ..., NSF | Biodiversity, Environment..., ANR | ANAEE-FR +3 projectsNSF| LTREB Renewal: Long-term Interactions among Biodiversity, CO2, and N in a Perennial Grassland Ecosystem ,NSF| Biodiversity, Environmental Change and Ecosystem Functioning at the Prairie-Forest Boarder ,ANR| ANAEE-FR ,NSF| LTER: Biodiversity, Multiple Drivers of Environmental Change and Ecosystem Functioning at the Prairie Forest Border ,DFG| Exploring mechanisms underlying the relationship between biodiversity and ecosystem functioning (Jena Experiment) ,DFG| German Centre for Integrative Biodiversity Research - iDivClaudia Guimarães-Steinicke; Forest Isbell; Hans de Kroon; Liesje Mommer; Nina Buchmann; Jasper van Ruijven; Alexandra Weigelt; Carl Beierkuhnlein; Peter B. Reich; Peter B. Reich; Nico Eisenhauer; Yongfei Bai; Bernhard Schmid; Stefanie von Felten; Stefanie von Felten; Michael Scherer-Lorenzen; David Tilman; David Tilman; Alexandru Milcu; Carsten Neßhöver; Anke Hildebrandt; Christiane Roscher; Kathryn E. Barry; Leopold Sauheitl; Leopold Sauheitl; Anne Ebeling;pmid: 31560129
AbstractLocally, plant species richness supports many ecosystem functions. Yet, the mechanisms driving these often‐positive biodiversity–ecosystem functioning relationships are not well understood. Spatial resource partitioning across vertical resource gradients is one of the main hypothesized causes for enhanced ecosystem functioning in more biodiverse grasslands. Spatial resource partitioning occurs if species differ in where they acquire resources and can happen both above‐ and belowground. However, studies investigating spatial resource partitioning in grasslands provide inconsistent evidence. We present the results of a meta‐analysis of 21 data sets from experimental species‐richness gradients in grasslands. We test the hypothesis thatincreasing spatial resource partitioning along vertical resource gradients enhances ecosystem functioning in diverse grassland plant communities above‐ and belowground. To test this hypothesis, we asked three questions. (1) Does species richness enhance biomass production or community resource uptake across sites? (2) Is there evidence of spatial resource partitioning as indicated by resource tracer uptake and biomass allocation above‐ and belowground? (3) Is evidence of spatial resource partitioning correlated with increased biomass production or community resource uptake? Although plant species richness enhanced community nitrogen and potassium uptake and biomass production above‐ and belowground, we found that plant communities did not meet our criteria for spatial resource partitioning, though they did invest in significantly more aboveground biomass in higher canopy layers in mixture relative to monoculture. Furthermore, the extent of spatial resource partitioning across studies was not positively correlated with either biomass production or community resource uptake. Our results suggest that spatial resource partitioning across vertical resource gradients alone does not offer a general explanation for enhanced ecosystem functioning in more diverse temperate grasslands.
Institut National de... arrow_drop_down Institut National de la Recherche Agronomique: ProdINRAArticle . 2020Full-Text: https://hal.science/hal-03102011v1Data sources: Bielefeld Academic Search Engine (BASE)University of Freiburg: FreiDokArticle . 2020Full-Text: https://freidok.uni-freiburg.de/data/235333Data sources: Bielefeld Academic Search Engine (BASE)Wageningen Staff PublicationsArticle . 2020License: CC BYData sources: Wageningen Staff PublicationsZurich Open Repository and ArchiveArticle . 2020 . Peer-reviewedLicense: CC BYData sources: Zurich Open Repository and ArchiveUniversity of Western Sydney (UWS): Research DirectArticle . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1002/ecy.2905&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 50 citations 50 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Institut National de... arrow_drop_down Institut National de la Recherche Agronomique: ProdINRAArticle . 2020Full-Text: https://hal.science/hal-03102011v1Data sources: Bielefeld Academic Search Engine (BASE)University of Freiburg: FreiDokArticle . 2020Full-Text: https://freidok.uni-freiburg.de/data/235333Data sources: Bielefeld Academic Search Engine (BASE)Wageningen Staff PublicationsArticle . 2020License: CC BYData sources: Wageningen Staff PublicationsZurich Open Repository and ArchiveArticle . 2020 . Peer-reviewedLicense: CC BYData sources: Zurich Open Repository and ArchiveUniversity of Western Sydney (UWS): Research DirectArticle . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1002/ecy.2905&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2013 NetherlandsPublisher:Public Library of Science (PLoS) Annemiek E. Smit-Tiekstra; N. Joop Ouborg; Francisco M. Padilla; Hans de Kroon; Cornelis A. M. Wagemaker; Liesje Mommer; Liesje Mommer; Hannie de Caluwe;pmid: 23383284
pmc: PMC3561313
Theory predicts that plant species win competition for a shared resource by more quickly preempting the resource in hotspots and by depleting resource levels to lower concentrations than its competitors. Competition in natural grasslands largely occurs belowground, but information regarding root interactions is limited, as molecular methods quantifying species abundance belowground have only recently become available.In monoculture, the grass Festuca rubra had higher root densities and a faster rate of soil nitrate depletion than Plantago lanceolata, projecting the first as a better competitor for nutrients. However, Festuca lost in competition with Plantago. Plantago not only replaced the lower root mass of its competitor, but strongly overproduced roots: with only half of the plants in mixture than in monoculture, Plantago root densities in mixture were similar or higher than those in its monocultures. These responses occurred equally in a nutrient-rich and nutrient-poor soil layer, and commenced immediately at the start of the experiment when root densities were still low and soil nutrient concentrations high.Our results suggest that species may achieve competitive superiority for nutrients by root growth stimulation prior to nutrient depletion, induced by the presence of a competitor species, rather than by a better ability to compete for nutrients per se. The root overproduction by which interspecific neighbors are suppressed independent of nutrient acquisition is consistent with predictions from game theory. Our results emphasize that root competition may be driven by other mechanisms than is currently assumed. The long-term consequences of these mechanisms for community dynamics are discussed.
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=10.1371/journal.pone.0055805&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 71 citations 71 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=10.1371/journal.pone.0055805&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 , Journal , Other literature type 2014 United Kingdom, NetherlandsPublisher:Elsevier BV Authors: Bardgett, R.D.; Mommer, L.; de Vries, F.T.;pmid: 25459399
Ecologists are increasingly adopting trait-based approaches to understand how community change influences ecosystem processes. However, most of this research has focussed on aboveground plant traits, whereas it is becoming clear that root traits are important drivers of many ecosystem processes, such as carbon (C) and nutrient cycling, and the formation and structural stability of soil. Here, we synthesise emerging evidence that illustrates how root traits impact ecosystem processes, and propose a pathway to unravel the complex roles of root traits in driving ecosystem processes and their response to global change. Finally, we identify research challenges and novel technologies to address them.
Trends in Ecology & ... arrow_drop_down Trends in Ecology & EvolutionArticle . 2014Data sources: DANS (Data Archiving and Networked Services)Trends in Ecology & EvolutionArticle . 2014 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefThe University of Manchester - Institutional RepositoryArticle . 2014Data sources: The University of Manchester - Institutional Repositoryadd 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.tree.2014.10.006&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu982 citations 982 popularity Top 0.1% influence Top 1% impulse Top 0.1% Powered by BIP!
more_vert Trends in Ecology & ... arrow_drop_down Trends in Ecology & EvolutionArticle . 2014Data sources: DANS (Data Archiving and Networked Services)Trends in Ecology & EvolutionArticle . 2014 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefThe University of Manchester - Institutional RepositoryArticle . 2014Data sources: The University of Manchester - Institutional Repositoryadd 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.tree.2014.10.006&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2011 NetherlandsPublisher:Wiley Peter B. Reich; Peter B. Reich; Hendrik Poorter; Liesje Mommer; Liesje Mommer; Karl J. Niklas; Pieter Poot; Jacek Oleksyn; Jacek Oleksyn;SummaryWe quantified the biomass allocation patterns to leaves, stems and roots in vegetative plants, and how this is influenced by the growth environment, plant size, evolutionary history and competition. Dose–response curves of allocation were constructed by means of a meta‐analysis from a wide array of experimental data. They show that the fraction of whole‐plant mass represented by leaves (LMF) increases most strongly with nutrients and decreases most strongly with light. Correction for size‐induced allocation patterns diminishes the LMF‐response to light, but makes the effect of temperature on LMF more apparent. There is a clear phylogenetic effect on allocation, as eudicots invest relatively more than monocots in leaves, as do gymnosperms compared with woody angiosperms. Plants grown at high densities show a clear increase in the stem fraction. However, in most comparisons across species groups or environmental factors, the variation in LMF is smaller than the variation in one of the other components of the growth analysis equation: the leaf area : leaf mass ratio (SLA). In competitive situations, the stem mass fraction increases to a smaller extent than the specific stem length (stem length : stem mass). Thus, we conclude that plants generally are less able to adjust allocation than to alter organ morphology. Contents Summary 30 I. Allocation in perspective 31 II. Topics of this review 32 III. Methodology 32 IV. Environmental effects 33 V. Ontogeny 36 VI. Differences between species 40 VII. Physiology and molecular regulation 41 VIII. Ecological aspects 42 IX. Perspectives 45 Acknowledgements 45 References 45 Appendices A1–A4 49
New Phytologist arrow_drop_down New PhytologistArticle . 2011 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefUniversity of Western Sydney (UWS): Research DirectArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 2K citations 2,230 popularity Top 0.01% influence Top 0.1% impulse Top 0.1% Powered by BIP!
more_vert New Phytologist arrow_drop_down New PhytologistArticle . 2011 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefUniversity of Western Sydney (UWS): Research DirectArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2020 NetherlandsPublisher:Freie Universität Berlin Authors: Buzhdygan, Oksana Y.; Meyer, Sebastian T.; Weisser, Wolfgang W.; Eisenhauer, Nico; +22 AuthorsBuzhdygan, Oksana Y.; Meyer, Sebastian T.; 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.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2019 NetherlandsPublisher:Springer Science and Business Media LLC Xin Xin Wang; Xin Xin Wang; Xin Xin Wang; Thomas W. Kuyper; Liesje Mommer; Gu Feng; Ellis Hoffland;pmid: 30919070
Plant-soil feedback (PSF) describes the process whereby plant species modify the soil environment, which subsequently impacts the growth of the same or another plant species. Our aim was to explore PSF by two maize varieties (a landrace and a hybrid variety) and three arbuscular mycorrhizal fungi (AMF) species (Funneliformis mosseae, Claroideoglomus etunicatum, Gigaspora margarita, and the mixture). We carried out a pot experiment with a conditioning and a feedback phase to determine PSF with different species of AMF and with a non-mycorrhizal control. Sterilized soil was conditioned separately by each variety, with or without AMF; in the feedback phase, each soil community was used to grow each in its "home" soil and in the "away" soil. Plant performance was assessed as shoot biomass, phosphorus (P) concentration and P content, and fungal performance was assessed as mycorrhizal colonization and hyphal length density. Both maize varieties were differentially influenced by AMF in the conditioning phase. In the feedback phase, PSF was generally negative for non-mycorrhizal plants or when plants were colonized by G. margarita, whereas PSF was positive in the other three AMF treatments. When plants were grown on home soil, hyphal length density was larger than on away soil. We conclude that different maize varieties can strengthen positive plant-soil feedback for themselves through beneficial mutualists for themselves, but not across the maize varieties.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu13 citations 13 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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description Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2019 NetherlandsPublisher:Springer Science and Business Media LLC Funded by:NWO | Playing hide-and-seek: ho...NWO| Playing hide-and-seek: how interactions between soil-borne fungi and grassland plant species control coexistenceAuthors: Annemiek E. Smit-Tiekstra; Eric J. W. Visser; Hannie de Caluwe; Francisco M. Padilla; +3 AuthorsAnnemiek E. Smit-Tiekstra; Eric J. W. Visser; Hannie de Caluwe; Francisco M. Padilla; Francisco M. Padilla; Liesje Mommer; Hans de Kroon;pmid: 31401664
pmc: PMC6732129
Global climate models predict more frequent periods of drought stress alternated by heavier, but fewer rainfall events in the future. Biodiversity studies have shown that such changed drought stress may be mitigated by plant species richness. Here, we investigate if grassland communities, differing in species richness, respond differently to climatic extremes within the growing season. In a 3-year outdoor mesocosm experiment, four grassland species in both monoculture and mixture were subjected to a rainfall distribution regime with two levels: periods of severe drought in the summer intermitted by extreme rainfall events versus regular rainfall over time. Both treatments received the same amount of water over the season. Extreme rainfall combined with drought periods resulted in a 15% decrease in aboveground biomass in the second and third year, compared to the regular rainfall regime. Root biomass was also reduced in the extreme rainfall treatment, particularly in the top soil layer (- 40%). All species developed higher water use efficiencies (less negative leaf δ13C) in extreme rainfall than in regular rainfall. These responses to the rainfall/drought treatment were independent of species richness, although the mixtures were on an average more productive in terms of biomass than the monocultures. Our experimental results suggest that mixtures are similarly able to buffer these within-season rainfall extremes than monocultures, which contrasts with findings in the studies on natural droughts. Our work demonstrates the importance of investigating the interactions between rainfall distribution and drought periods for understanding effects of climate change on plant community performance.
Oecologia arrow_drop_down Wageningen Staff PublicationsArticle . 2019License: CC BYData sources: Wageningen Staff Publicationsadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 22 citations 22 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Oecologia arrow_drop_down Wageningen Staff PublicationsArticle . 2019License: CC BYData sources: Wageningen Staff Publicationsadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2018 United Kingdom, Netherlands, United KingdomPublisher:Wiley Funded by:NWO | Playing hide-and-seek: ho...NWO| Playing hide-and-seek: how interactions between soil-borne fungi and grassland plant species control coexistenceAuthors: Judith E. van de Mortel; Hans de Kroon; Jos M. Raaijmakers; Aad J. Termorshuizen; +11 AuthorsJudith E. van de Mortel; Hans de Kroon; Jos M. Raaijmakers; Aad J. Termorshuizen; Frank Berendse; T. E. Anne Cotton; T. E. Anne Cotton; Elio Schijlen; Jasper van Ruijven; Alex J. Dumbrell; Liesje Mommer; Sophia Q. van Rijssel; Marloes Hendriks; Annemiek E. Smit-Tiekstra; Jan Willem van der Paauw;Summary There is consensus that plant species richness enhances plant productivity within natural grasslands, but the underlying drivers remain debated. Recently, differential accumulation of soil‐borne fungal pathogens across the plant diversity gradient has been proposed as a cause of this pattern. However, the below‐ground environment has generally been treated as a ‘black box’ in biodiversity experiments, leaving these fungi unidentified. Using next generation sequencing and pathogenicity assays, we analysed the community composition of root‐associated fungi from a biodiversity experiment to examine if evidence exists for host specificity and negative density dependence in the interplay between soil‐borne fungi, plant diversity and productivity. Plant species were colonised by distinct (pathogenic) fungal communities and isolated fungal species showed negative, species‐specific effects on plant growth. Moreover, 57% of the pathogenic fungal operational taxonomic units (OTUs) recorded in plant monocultures were not detected in eight plant species plots, suggesting a loss of pathogenic OTUs with plant diversity. Our work provides strong evidence for host specificity and negative density‐dependent effects of root‐associated fungi on plant species in grasslands. Our work substantiates the hypothesis that fungal root pathogens are an important driver of biodiversity‐ecosystem functioning relationships.
University of Essex ... arrow_drop_down University of Essex Research RepositoryArticle . 2018License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Wageningen Staff PublicationsArticle . 2018License: CC BY NC NDData sources: Wageningen Staff PublicationsThe University of Manchester - Institutional RepositoryArticle . 2018Data sources: The University of Manchester - Institutional Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/nph.15036&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 189 citations 189 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert University of Essex ... arrow_drop_down University of Essex Research RepositoryArticle . 2018License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Wageningen Staff PublicationsArticle . 2018License: CC BY NC NDData sources: Wageningen Staff PublicationsThe University of Manchester - Institutional RepositoryArticle . 2018Data sources: The University of Manchester - Institutional Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/nph.15036&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Preprint 2024 Germany, Germany, NetherlandsPublisher:Cold Spring Harbor Laboratory Publicly fundedFunded by:DFG, DFG | German Centre for Integra...DFG ,DFG| German Centre for Integrative Biodiversity Research - iDivJustus Hennecke; Leonardo Bassi; Cynthia Albracht; Angelos Amyntas; Joana Bergmann; Nico Eisenhauer; Aaron Fox; Lea Heimbold; Anna Heintz-Buschart; Thomas W. Kuyper; Markus Lange; Yuri Pinheiro Alves de Souza; Akanksha Rai; Marcel Dominik Solbach; Liesje Mommer; Alexandra Weigelt;pmid: 39737799
pmc: PMC11687415
AbstractTrait-based approaches have been increasingly used to relate plants to soil microbial communities. However, the plant organs mediating this plant-microbe interaction – the roots – have been largely overlooked. The recent discovery of the root economics space offers a predictive framework for the structure of soil microbial communities, and specifically soil-borne fungal communities. Applying this novel approach, our study in a grassland plant diversity experiment reveals distinct root trait strategies at the level of the plant community. In addition to significant effects of plant species richness, we show that both axes of the root economics space – the collaboration and conservation gradient – are strong drivers of the composition of the different guilds of soil fungi, including saprotrophic, plant pathogenic, and mycorrhizal fungi. Our results illustrate that the root economics space and plant species richness jointly determine the effects of plants on fungal communities and their potential role in plant health and ecosystem functioning.
Ecology Letters arrow_drop_down Ecology LettersArticle . 2025License: CC BYData sources: Universiteit van Amsterdam Digital Academic RepositoryWageningen Staff PublicationsArticle . 2025License: CC BYData sources: Wageningen Staff PublicationsUniversiteit van Amsterdam: Digital Academic Repository (UvA DARE)Article . 2025Data 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=10.1101/2024.03.20.585751&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 2 citations 2 popularity Average influence Average impulse Average Powered by BIP!
more_vert Ecology Letters arrow_drop_down Ecology LettersArticle . 2025License: CC BYData sources: Universiteit van Amsterdam Digital Academic RepositoryWageningen Staff PublicationsArticle . 2025License: CC BYData sources: Wageningen Staff PublicationsUniversiteit van Amsterdam: Digital Academic Repository (UvA DARE)Article . 2025Data 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=10.1101/2024.03.20.585751&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2019Embargo end date: 01 Jan 2020 Netherlands, France, France, Switzerland, Switzerland, GermanyPublisher:Wiley Funded by:NSF | LTREB Renewal: Long-term ..., NSF | Biodiversity, Environment..., ANR | ANAEE-FR +3 projectsNSF| LTREB Renewal: Long-term Interactions among Biodiversity, CO2, and N in a Perennial Grassland Ecosystem ,NSF| Biodiversity, Environmental Change and Ecosystem Functioning at the Prairie-Forest Boarder ,ANR| ANAEE-FR ,NSF| LTER: Biodiversity, Multiple Drivers of Environmental Change and Ecosystem Functioning at the Prairie Forest Border ,DFG| Exploring mechanisms underlying the relationship between biodiversity and ecosystem functioning (Jena Experiment) ,DFG| German Centre for Integrative Biodiversity Research - iDivClaudia Guimarães-Steinicke; Forest Isbell; Hans de Kroon; Liesje Mommer; Nina Buchmann; Jasper van Ruijven; Alexandra Weigelt; Carl Beierkuhnlein; Peter B. Reich; Peter B. Reich; Nico Eisenhauer; Yongfei Bai; Bernhard Schmid; Stefanie von Felten; Stefanie von Felten; Michael Scherer-Lorenzen; David Tilman; David Tilman; Alexandru Milcu; Carsten Neßhöver; Anke Hildebrandt; Christiane Roscher; Kathryn E. Barry; Leopold Sauheitl; Leopold Sauheitl; Anne Ebeling;pmid: 31560129
AbstractLocally, plant species richness supports many ecosystem functions. Yet, the mechanisms driving these often‐positive biodiversity–ecosystem functioning relationships are not well understood. Spatial resource partitioning across vertical resource gradients is one of the main hypothesized causes for enhanced ecosystem functioning in more biodiverse grasslands. Spatial resource partitioning occurs if species differ in where they acquire resources and can happen both above‐ and belowground. However, studies investigating spatial resource partitioning in grasslands provide inconsistent evidence. We present the results of a meta‐analysis of 21 data sets from experimental species‐richness gradients in grasslands. We test the hypothesis thatincreasing spatial resource partitioning along vertical resource gradients enhances ecosystem functioning in diverse grassland plant communities above‐ and belowground. To test this hypothesis, we asked three questions. (1) Does species richness enhance biomass production or community resource uptake across sites? (2) Is there evidence of spatial resource partitioning as indicated by resource tracer uptake and biomass allocation above‐ and belowground? (3) Is evidence of spatial resource partitioning correlated with increased biomass production or community resource uptake? Although plant species richness enhanced community nitrogen and potassium uptake and biomass production above‐ and belowground, we found that plant communities did not meet our criteria for spatial resource partitioning, though they did invest in significantly more aboveground biomass in higher canopy layers in mixture relative to monoculture. Furthermore, the extent of spatial resource partitioning across studies was not positively correlated with either biomass production or community resource uptake. Our results suggest that spatial resource partitioning across vertical resource gradients alone does not offer a general explanation for enhanced ecosystem functioning in more diverse temperate grasslands.
Institut National de... arrow_drop_down Institut National de la Recherche Agronomique: ProdINRAArticle . 2020Full-Text: https://hal.science/hal-03102011v1Data sources: Bielefeld Academic Search Engine (BASE)University of Freiburg: FreiDokArticle . 2020Full-Text: https://freidok.uni-freiburg.de/data/235333Data sources: Bielefeld Academic Search Engine (BASE)Wageningen Staff PublicationsArticle . 2020License: CC BYData sources: Wageningen Staff PublicationsZurich Open Repository and ArchiveArticle . 2020 . Peer-reviewedLicense: CC BYData sources: Zurich Open Repository and ArchiveUniversity of Western Sydney (UWS): Research DirectArticle . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 50 citations 50 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Institut National de... arrow_drop_down Institut National de la Recherche Agronomique: ProdINRAArticle . 2020Full-Text: https://hal.science/hal-03102011v1Data sources: Bielefeld Academic Search Engine (BASE)University of Freiburg: FreiDokArticle . 2020Full-Text: https://freidok.uni-freiburg.de/data/235333Data sources: Bielefeld Academic Search Engine (BASE)Wageningen Staff PublicationsArticle . 2020License: CC BYData sources: Wageningen Staff PublicationsZurich Open Repository and ArchiveArticle . 2020 . Peer-reviewedLicense: CC BYData sources: Zurich Open Repository and ArchiveUniversity of Western Sydney (UWS): Research DirectArticle . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1002/ecy.2905&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2013 NetherlandsPublisher:Public Library of Science (PLoS) Annemiek E. Smit-Tiekstra; N. Joop Ouborg; Francisco M. Padilla; Hans de Kroon; Cornelis A. M. Wagemaker; Liesje Mommer; Liesje Mommer; Hannie de Caluwe;pmid: 23383284
pmc: PMC3561313
Theory predicts that plant species win competition for a shared resource by more quickly preempting the resource in hotspots and by depleting resource levels to lower concentrations than its competitors. Competition in natural grasslands largely occurs belowground, but information regarding root interactions is limited, as molecular methods quantifying species abundance belowground have only recently become available.In monoculture, the grass Festuca rubra had higher root densities and a faster rate of soil nitrate depletion than Plantago lanceolata, projecting the first as a better competitor for nutrients. However, Festuca lost in competition with Plantago. Plantago not only replaced the lower root mass of its competitor, but strongly overproduced roots: with only half of the plants in mixture than in monoculture, Plantago root densities in mixture were similar or higher than those in its monocultures. These responses occurred equally in a nutrient-rich and nutrient-poor soil layer, and commenced immediately at the start of the experiment when root densities were still low and soil nutrient concentrations high.Our results suggest that species may achieve competitive superiority for nutrients by root growth stimulation prior to nutrient depletion, induced by the presence of a competitor species, rather than by a better ability to compete for nutrients per se. The root overproduction by which interspecific neighbors are suppressed independent of nutrient acquisition is consistent with predictions from game theory. Our results emphasize that root competition may be driven by other mechanisms than is currently assumed. The long-term consequences of these mechanisms for community dynamics are discussed.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 71 citations 71 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
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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.
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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 , Journal , Other literature type 2014 United Kingdom, NetherlandsPublisher:Elsevier BV Authors: Bardgett, R.D.; Mommer, L.; de Vries, F.T.;pmid: 25459399
Ecologists are increasingly adopting trait-based approaches to understand how community change influences ecosystem processes. However, most of this research has focussed on aboveground plant traits, whereas it is becoming clear that root traits are important drivers of many ecosystem processes, such as carbon (C) and nutrient cycling, and the formation and structural stability of soil. Here, we synthesise emerging evidence that illustrates how root traits impact ecosystem processes, and propose a pathway to unravel the complex roles of root traits in driving ecosystem processes and their response to global change. Finally, we identify research challenges and novel technologies to address them.
Trends in Ecology & ... arrow_drop_down Trends in Ecology & EvolutionArticle . 2014Data sources: DANS (Data Archiving and Networked Services)Trends in Ecology & EvolutionArticle . 2014 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefThe University of Manchester - Institutional RepositoryArticle . 2014Data sources: The University of Manchester - Institutional Repositoryadd 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.tree.2014.10.006&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu982 citations 982 popularity Top 0.1% influence Top 1% impulse Top 0.1% Powered by BIP!
more_vert Trends in Ecology & ... arrow_drop_down Trends in Ecology & EvolutionArticle . 2014Data sources: DANS (Data Archiving and Networked Services)Trends in Ecology & EvolutionArticle . 2014 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefThe University of Manchester - Institutional RepositoryArticle . 2014Data sources: The University of Manchester - Institutional Repositoryadd 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.tree.2014.10.006&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2011 NetherlandsPublisher:Wiley Peter B. Reich; Peter B. Reich; Hendrik Poorter; Liesje Mommer; Liesje Mommer; Karl J. Niklas; Pieter Poot; Jacek Oleksyn; Jacek Oleksyn;SummaryWe quantified the biomass allocation patterns to leaves, stems and roots in vegetative plants, and how this is influenced by the growth environment, plant size, evolutionary history and competition. Dose–response curves of allocation were constructed by means of a meta‐analysis from a wide array of experimental data. They show that the fraction of whole‐plant mass represented by leaves (LMF) increases most strongly with nutrients and decreases most strongly with light. Correction for size‐induced allocation patterns diminishes the LMF‐response to light, but makes the effect of temperature on LMF more apparent. There is a clear phylogenetic effect on allocation, as eudicots invest relatively more than monocots in leaves, as do gymnosperms compared with woody angiosperms. Plants grown at high densities show a clear increase in the stem fraction. However, in most comparisons across species groups or environmental factors, the variation in LMF is smaller than the variation in one of the other components of the growth analysis equation: the leaf area : leaf mass ratio (SLA). In competitive situations, the stem mass fraction increases to a smaller extent than the specific stem length (stem length : stem mass). Thus, we conclude that plants generally are less able to adjust allocation than to alter organ morphology. Contents Summary 30 I. Allocation in perspective 31 II. Topics of this review 32 III. Methodology 32 IV. Environmental effects 33 V. Ontogeny 36 VI. Differences between species 40 VII. Physiology and molecular regulation 41 VIII. Ecological aspects 42 IX. Perspectives 45 Acknowledgements 45 References 45 Appendices A1–A4 49
New Phytologist arrow_drop_down New PhytologistArticle . 2011 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefUniversity of Western Sydney (UWS): Research DirectArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/j.1469-8137.2011.03952.x&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 2K citations 2,230 popularity Top 0.01% influence Top 0.1% impulse Top 0.1% Powered by BIP!
more_vert New Phytologist arrow_drop_down New PhytologistArticle . 2011 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefUniversity of Western Sydney (UWS): Research DirectArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/j.1469-8137.2011.03952.x&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2020 NetherlandsPublisher:Freie Universität Berlin Authors: Buzhdygan, Oksana Y.; Meyer, Sebastian T.; Weisser, Wolfgang W.; Eisenhauer, Nico; +22 AuthorsBuzhdygan, Oksana Y.; Meyer, Sebastian T.; 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.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2019 NetherlandsPublisher:Springer Science and Business Media LLC Xin Xin Wang; Xin Xin Wang; Xin Xin Wang; Thomas W. Kuyper; Liesje Mommer; Gu Feng; Ellis Hoffland;pmid: 30919070
Plant-soil feedback (PSF) describes the process whereby plant species modify the soil environment, which subsequently impacts the growth of the same or another plant species. Our aim was to explore PSF by two maize varieties (a landrace and a hybrid variety) and three arbuscular mycorrhizal fungi (AMF) species (Funneliformis mosseae, Claroideoglomus etunicatum, Gigaspora margarita, and the mixture). We carried out a pot experiment with a conditioning and a feedback phase to determine PSF with different species of AMF and with a non-mycorrhizal control. Sterilized soil was conditioned separately by each variety, with or without AMF; in the feedback phase, each soil community was used to grow each in its "home" soil and in the "away" soil. Plant performance was assessed as shoot biomass, phosphorus (P) concentration and P content, and fungal performance was assessed as mycorrhizal colonization and hyphal length density. Both maize varieties were differentially influenced by AMF in the conditioning phase. In the feedback phase, PSF was generally negative for non-mycorrhizal plants or when plants were colonized by G. margarita, whereas PSF was positive in the other three AMF treatments. When plants were grown on home soil, hyphal length density was larger than on away soil. We conclude that different maize varieties can strengthen positive plant-soil feedback for themselves through beneficial mutualists for themselves, but not across the maize varieties.
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu13 citations 13 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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