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description Publicationkeyboard_double_arrow_right Article , Other literature type , Journal , Preprint 2016 Germany, United Kingdom, Italy, Australia, France, United States, United Kingdom, Germany, Italy, Germany, Italy, AustraliaPublisher:Springer Science and Business Media LLC Funded by:ANR | ANAEE-FR, EC | EXPEERANR| ANAEE-FR ,EC| EXPEERJean-Christophe Lata; Anna Greiner; Olaf Butenschoen; Agnès Gigon; Paula Rotter; Alexandra Weigelt; Ruben Puga-Freitas; Rahme Seyhun; Arthur Gessler; Markus Lange; Amandine Hansart; Jacques Roy; Thomas Girin; Simone Cesarz; Nico Eisenhauer; Stefan Scheu; Laura Zavattaro; Grégoire T. Freschet; Katherine R. Urban-Mead; Martin Lukac; Martin Lukac; Sébastien Devidal; Manuel Blouin; Manuel Blouin; Carlo Grignani; Anne Pando; Michael Bonkowski; Zachary Kayler; Laura Rose; Gerd Gleixner; Sebastien Barot; Michael Scherer-Lorenzen; Nina Buchmann; Davide Assandri; Marina E.H. Muller; Aaron M. Ellison; Jean-François Le Galliard; Jean-François Le Galliard; Alexandru Milcu; Neringa Mannerheim;pmid: 29335575
handle: 20.500.14243/441494 , 2318/1661768
Many scientific disciplines currently are experiencing a “reproducibility crisis” because numerous scientific findings cannot be repeated consistently. A novel but controversial hypothesis postulates that stringent levels of environmental and biotic standardization in experimental studies reduces reproducibility by amplifying impacts of lab-specific environmental factors not accounted for in study designs. A corollary to this hypothesis is that the deliberate introduction of controlled systematic variability (CSV) in experimental designs can increase reproducibility. We tested this hypothesis using a multi-laboratory microcosm study in which the same ecological experiment was repeated in 14 laboratories across Europe. Each laboratory introduced environmental and genotypic CSV within and among replicated microcosms established in either growth chambers (with stringent control of environmental conditions) or glasshouses (with more variable environmental conditions). The introduction of genotypic CSV led to lower among-laboratory variability in growth chambers, indicating increased reproducibility, but had no significant effect in glasshouses where reproducibility also was lower. Environmental CSV had little effect on reproducibility. Although there are multiple causes for the “reproducibility crisis”, deliberately including genetic variation may be a simple solution for increasing the reproducibility of ecological studies performed in controlled environments.
Archivio Istituziona... arrow_drop_down https://doi.org/10.1101/080119...Article . 2016 . Peer-reviewedLicense: CC BY NC NDData sources: CrossrefPublikationenserver der Georg-August-Universität GöttingenArticle . 2020INRIA a CCSD electronic archive serverArticle . 2018Data sources: INRIA a CCSD electronic archive serverInstitut National de la Recherche Agronomique: ProdINRAArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)Nature Ecology & EvolutionArticle . 2018 . Peer-reviewedLicense: Springer Nature TDMData sources: CrossrefHAL - Université de Bourgogne (HAL-uB)Other literature type . 2018Data sources: HAL - Université de Bourgogne (HAL-uB)Harvard University: DASH - Digital Access to Scholarship at HarvardArticle . 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.more_vert Archivio Istituziona... arrow_drop_down https://doi.org/10.1101/080119...Article . 2016 . Peer-reviewedLicense: CC BY NC NDData sources: CrossrefPublikationenserver der Georg-August-Universität GöttingenArticle . 2020INRIA a CCSD electronic archive serverArticle . 2018Data sources: INRIA a CCSD electronic archive serverInstitut National de la Recherche Agronomique: ProdINRAArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)Nature Ecology & EvolutionArticle . 2018 . Peer-reviewedLicense: Springer Nature TDMData sources: CrossrefHAL - Université de Bourgogne (HAL-uB)Other literature type . 2018Data sources: HAL - Université de Bourgogne (HAL-uB)Harvard University: DASH - Digital Access to Scholarship at HarvardArticle . 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.description Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2019 FrancePublisher:Wiley Agapit, Corinne; Gigon, Agnès; Girin, Thomas; Leitão, Luís; Blouin, Manuel;doi: 10.1111/ppl.12971
pmid: 30950064
Split‐root system has been developed to better understand plant response to environmental factors, by exposing two separate parts of a single root system to heterogeneous situations. Surprisingly, there is no study attempting to maximize plant survival, growth and root system structure through a statistically sound comparison of different experimental protocols. Here, we aim at optimizing split‐root systems on the model plant for Poaceae and cereals Brachypodium distachyon in terms of plant survival, number of roots and their equal distribution between the two compartments. We tested the effect of hydroponic or soil as growing media, with or without change of media at the transplantation step. The partial or total cutting of roots and/or shoots was also tested in different treatments as it could have an influence on plant access to energy and water and consequently on survival, growth and root development. Growing plants in soil before and after transplantation in split‐root system was the best condition to get the highest survival rate, number of coleoptile node axile roots and growth. Cutting the whole root system was the best option to have a high root biomass and length at the end of the experiment. However, cutting shoots was detrimental for plant growth, especially in terms of root biomass production. In well‐watered conditions, a plant submitted to a transfer in a split‐root system is thus mainly lacking energy to produce new roots thanks to photosynthesis or adaptive autophagy, not water or nutrients.
Hyper Article en Lig... arrow_drop_down Physiologia PlantarumArticle . 2019 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefHAL - Université de Bourgogne (HAL-uB)Other literature type . 2020Data sources: HAL - Université de Bourgogne (HAL-uB)Institut National de la Recherche Agronomique: ProdINRAArticle . 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.more_vert Hyper Article en Lig... arrow_drop_down Physiologia PlantarumArticle . 2019 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefHAL - Université de Bourgogne (HAL-uB)Other literature type . 2020Data sources: HAL - Université de Bourgogne (HAL-uB)Institut National de la Recherche Agronomique: ProdINRAArticle . 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.Research data keyboard_double_arrow_right Dataset , Other dataset type 2017Publisher:PANGAEA Funded by:ANR | ANAEE-FR, EC | EXPEERANR| ANAEE-FR ,EC| EXPEERMilcu, Alexandru; Puga-Freitas, Ruben; Ellison, Aaron M; Blouin, Manuel; Scheu, Stefan; Girin, Thomas; Freschet, Grégoire T; Rose, Laura; Scherer-Lorenzen, Michael; Barot, Sebastien; Lata, Jean-Christophe; Cesarz, Simone; Eisenhauer, Nico; Gigon, Agnès; Weigelt, Alexandra; Hansart, Amandine; Greiner, Anna; Pando, Anne; Gessler, Arthur; Grignani, Carlo; Assandri, Davide; Gleixner, Gerd; LeGalliard, Jean-Francois; Urban-Mead, Katherine; Zavattaro, Laura; Müller, Marina E H; Lange, Markus; Lukac, Martin; Bonkowski, Michael; Mannerheim, Neringa; Buchmann, Nina; Butenschoen, Olaf; Rotter, Paula; Seyhun, Rahme; Devidal, Sébastien; Kayler, Zachary; Roy, Jacques;Although microcosm experiments are a frequent tool used to address fundamental ecological questions, there has been no quantitative assessment of the reproducibility of any microcosm experiment. This dataset contains the response variables measured in a multi-laboratory microcosm study in which the same microcosm experiment was repeated in 14 laboratories across Europe. All laboratories simultaneously run a simple microcosm experiment using grass (Brachypodium distachyon L.) monocultures and grass and legume (Medicago truncatula Gaertn.) mixtures. All twelve variables were then used to calculate the effect of the presence of nitrogen-fixing legume on the grass-legume mixtures (i.e. the net legume effect).The project tested a controversial hypotheses postulating that stringent levels of environmental and biotic standardization in experimental studies reduces reproducibility by amplifying impacts of lab-specific environmental factors not accounted for in the experimental design. This implies that the deliberate introduction of controlled systematic variability (CSV) in experimental designs can increase reproducibility. To test this hypothesis, each laboratory followed the same experimental protocol and introduced environmental and genotypic controlled systematic variability (CSV) within and among replicated microcosms established in either growth chambers (with stringent control of environmental conditions) or glasshouses (with more variable environmental conditions). Data were used to test the extent to which the effect size of the net legume effect varied with the CSV treatment and to estimate the number of laboratories that produced results that can be considered reproducible. Supplement to: Milcu, Alexandru; Puga-Freitas, Ruben; Ellison, Aaron M; Blouin, Manuel; Scheu, Stefan; Girin, Thomas; Freschet, Grégoire T; Rose, Laura; Scherer-Lorenzen, Michael; Barot, Sebastien; Lata, Jean-Christophe; Cesarz, Simone; Eisenhauer, Nico; Gigon, Agnès; Weigelt, Alexandra; Hansart, Amandine; Greiner, Anna; Pando, Anne; Gessler, Arthur; Grignani, Carlo; Assandri, Davide; Gleixner, Gerd; LeGalliard, Jean-Francois; Urban-Mead, Katherine; Zavattaro, Laura; Müller, Marina E H; Lange, Markus; Lukac, Martin; Bonkowski, Michael; Mannerheim, Neringa; Buchmann, Nina; Butenschoen, Olaf; Rotter, Paula; Seyhun, Rahme; Devidal, Sébastien; Kayler, Zachary; Roy, Jacques (2018): Genotypic variability enhances the reproducibility of an ecological study. Nature Ecology & Evolution, 2, 279-287
PANGAEA arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2017License: CC BY NC NDData 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.more_vert PANGAEA arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2017License: CC BY NC NDData 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.
description Publicationkeyboard_double_arrow_right Article , Other literature type , Journal , Preprint 2016 Germany, United Kingdom, Italy, Australia, France, United States, United Kingdom, Germany, Italy, Germany, Italy, AustraliaPublisher:Springer Science and Business Media LLC Funded by:ANR | ANAEE-FR, EC | EXPEERANR| ANAEE-FR ,EC| EXPEERJean-Christophe Lata; Anna Greiner; Olaf Butenschoen; Agnès Gigon; Paula Rotter; Alexandra Weigelt; Ruben Puga-Freitas; Rahme Seyhun; Arthur Gessler; Markus Lange; Amandine Hansart; Jacques Roy; Thomas Girin; Simone Cesarz; Nico Eisenhauer; Stefan Scheu; Laura Zavattaro; Grégoire T. Freschet; Katherine R. Urban-Mead; Martin Lukac; Martin Lukac; Sébastien Devidal; Manuel Blouin; Manuel Blouin; Carlo Grignani; Anne Pando; Michael Bonkowski; Zachary Kayler; Laura Rose; Gerd Gleixner; Sebastien Barot; Michael Scherer-Lorenzen; Nina Buchmann; Davide Assandri; Marina E.H. Muller; Aaron M. Ellison; Jean-François Le Galliard; Jean-François Le Galliard; Alexandru Milcu; Neringa Mannerheim;pmid: 29335575
handle: 20.500.14243/441494 , 2318/1661768
Many scientific disciplines currently are experiencing a “reproducibility crisis” because numerous scientific findings cannot be repeated consistently. A novel but controversial hypothesis postulates that stringent levels of environmental and biotic standardization in experimental studies reduces reproducibility by amplifying impacts of lab-specific environmental factors not accounted for in study designs. A corollary to this hypothesis is that the deliberate introduction of controlled systematic variability (CSV) in experimental designs can increase reproducibility. We tested this hypothesis using a multi-laboratory microcosm study in which the same ecological experiment was repeated in 14 laboratories across Europe. Each laboratory introduced environmental and genotypic CSV within and among replicated microcosms established in either growth chambers (with stringent control of environmental conditions) or glasshouses (with more variable environmental conditions). The introduction of genotypic CSV led to lower among-laboratory variability in growth chambers, indicating increased reproducibility, but had no significant effect in glasshouses where reproducibility also was lower. Environmental CSV had little effect on reproducibility. Although there are multiple causes for the “reproducibility crisis”, deliberately including genetic variation may be a simple solution for increasing the reproducibility of ecological studies performed in controlled environments.
Archivio Istituziona... arrow_drop_down https://doi.org/10.1101/080119...Article . 2016 . Peer-reviewedLicense: CC BY NC NDData sources: CrossrefPublikationenserver der Georg-August-Universität GöttingenArticle . 2020INRIA a CCSD electronic archive serverArticle . 2018Data sources: INRIA a CCSD electronic archive serverInstitut National de la Recherche Agronomique: ProdINRAArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)Nature Ecology & EvolutionArticle . 2018 . Peer-reviewedLicense: Springer Nature TDMData sources: CrossrefHAL - Université de Bourgogne (HAL-uB)Other literature type . 2018Data sources: HAL - Université de Bourgogne (HAL-uB)Harvard University: DASH - Digital Access to Scholarship at HarvardArticle . 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.more_vert Archivio Istituziona... arrow_drop_down https://doi.org/10.1101/080119...Article . 2016 . Peer-reviewedLicense: CC BY NC NDData sources: CrossrefPublikationenserver der Georg-August-Universität GöttingenArticle . 2020INRIA a CCSD electronic archive serverArticle . 2018Data sources: INRIA a CCSD electronic archive serverInstitut National de la Recherche Agronomique: ProdINRAArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)Nature Ecology & EvolutionArticle . 2018 . Peer-reviewedLicense: Springer Nature TDMData sources: CrossrefHAL - Université de Bourgogne (HAL-uB)Other literature type . 2018Data sources: HAL - Université de Bourgogne (HAL-uB)Harvard University: DASH - Digital Access to Scholarship at HarvardArticle . 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.description Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2019 FrancePublisher:Wiley Agapit, Corinne; Gigon, Agnès; Girin, Thomas; Leitão, Luís; Blouin, Manuel;doi: 10.1111/ppl.12971
pmid: 30950064
Split‐root system has been developed to better understand plant response to environmental factors, by exposing two separate parts of a single root system to heterogeneous situations. Surprisingly, there is no study attempting to maximize plant survival, growth and root system structure through a statistically sound comparison of different experimental protocols. Here, we aim at optimizing split‐root systems on the model plant for Poaceae and cereals Brachypodium distachyon in terms of plant survival, number of roots and their equal distribution between the two compartments. We tested the effect of hydroponic or soil as growing media, with or without change of media at the transplantation step. The partial or total cutting of roots and/or shoots was also tested in different treatments as it could have an influence on plant access to energy and water and consequently on survival, growth and root development. Growing plants in soil before and after transplantation in split‐root system was the best condition to get the highest survival rate, number of coleoptile node axile roots and growth. Cutting the whole root system was the best option to have a high root biomass and length at the end of the experiment. However, cutting shoots was detrimental for plant growth, especially in terms of root biomass production. In well‐watered conditions, a plant submitted to a transfer in a split‐root system is thus mainly lacking energy to produce new roots thanks to photosynthesis or adaptive autophagy, not water or nutrients.
Hyper Article en Lig... arrow_drop_down Physiologia PlantarumArticle . 2019 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefHAL - Université de Bourgogne (HAL-uB)Other literature type . 2020Data sources: HAL - Université de Bourgogne (HAL-uB)Institut National de la Recherche Agronomique: ProdINRAArticle . 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.more_vert Hyper Article en Lig... arrow_drop_down Physiologia PlantarumArticle . 2019 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefHAL - Université de Bourgogne (HAL-uB)Other literature type . 2020Data sources: HAL - Université de Bourgogne (HAL-uB)Institut National de la Recherche Agronomique: ProdINRAArticle . 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.Research data keyboard_double_arrow_right Dataset , Other dataset type 2017Publisher:PANGAEA Funded by:ANR | ANAEE-FR, EC | EXPEERANR| ANAEE-FR ,EC| EXPEERMilcu, Alexandru; Puga-Freitas, Ruben; Ellison, Aaron M; Blouin, Manuel; Scheu, Stefan; Girin, Thomas; Freschet, Grégoire T; Rose, Laura; Scherer-Lorenzen, Michael; Barot, Sebastien; Lata, Jean-Christophe; Cesarz, Simone; Eisenhauer, Nico; Gigon, Agnès; Weigelt, Alexandra; Hansart, Amandine; Greiner, Anna; Pando, Anne; Gessler, Arthur; Grignani, Carlo; Assandri, Davide; Gleixner, Gerd; LeGalliard, Jean-Francois; Urban-Mead, Katherine; Zavattaro, Laura; Müller, Marina E H; Lange, Markus; Lukac, Martin; Bonkowski, Michael; Mannerheim, Neringa; Buchmann, Nina; Butenschoen, Olaf; Rotter, Paula; Seyhun, Rahme; Devidal, Sébastien; Kayler, Zachary; Roy, Jacques;Although microcosm experiments are a frequent tool used to address fundamental ecological questions, there has been no quantitative assessment of the reproducibility of any microcosm experiment. This dataset contains the response variables measured in a multi-laboratory microcosm study in which the same microcosm experiment was repeated in 14 laboratories across Europe. All laboratories simultaneously run a simple microcosm experiment using grass (Brachypodium distachyon L.) monocultures and grass and legume (Medicago truncatula Gaertn.) mixtures. All twelve variables were then used to calculate the effect of the presence of nitrogen-fixing legume on the grass-legume mixtures (i.e. the net legume effect).The project tested a controversial hypotheses postulating that stringent levels of environmental and biotic standardization in experimental studies reduces reproducibility by amplifying impacts of lab-specific environmental factors not accounted for in the experimental design. This implies that the deliberate introduction of controlled systematic variability (CSV) in experimental designs can increase reproducibility. To test this hypothesis, each laboratory followed the same experimental protocol and introduced environmental and genotypic controlled systematic variability (CSV) within and among replicated microcosms established in either growth chambers (with stringent control of environmental conditions) or glasshouses (with more variable environmental conditions). Data were used to test the extent to which the effect size of the net legume effect varied with the CSV treatment and to estimate the number of laboratories that produced results that can be considered reproducible. Supplement to: Milcu, Alexandru; Puga-Freitas, Ruben; Ellison, Aaron M; Blouin, Manuel; Scheu, Stefan; Girin, Thomas; Freschet, Grégoire T; Rose, Laura; Scherer-Lorenzen, Michael; Barot, Sebastien; Lata, Jean-Christophe; Cesarz, Simone; Eisenhauer, Nico; Gigon, Agnès; Weigelt, Alexandra; Hansart, Amandine; Greiner, Anna; Pando, Anne; Gessler, Arthur; Grignani, Carlo; Assandri, Davide; Gleixner, Gerd; LeGalliard, Jean-Francois; Urban-Mead, Katherine; Zavattaro, Laura; Müller, Marina E H; Lange, Markus; Lukac, Martin; Bonkowski, Michael; Mannerheim, Neringa; Buchmann, Nina; Butenschoen, Olaf; Rotter, Paula; Seyhun, Rahme; Devidal, Sébastien; Kayler, Zachary; Roy, Jacques (2018): Genotypic variability enhances the reproducibility of an ecological study. Nature Ecology & Evolution, 2, 279-287
PANGAEA arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2017License: CC BY NC NDData 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.more_vert PANGAEA arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2017License: CC BY NC NDData 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.
