Résumé
The long-term experiment PROspective site is located at the Colmar Experimental Centre of the French National Research Institute for Agriculture, Food and Environment (INRAE), in Colmar (Haut-Rhin, France; 48◦03’33’’ N, 7◦19’42’’ E, altitude 200 m). It is positioned on a silt–silt clayey calcisol soil. The upper horizon includes a plough layer (i.e., topsoil), which is carbonated. The climate is semicontinental, with a mean annual precipitation of 559 mm received mostly between May and October and an average annual air temperature of 11.3 ◦C. It is cropped with a rotation of maize, winter wheat, sugar beet and barley. Each organic waste product application are made before maize or sugar beat every 2 years most often in February, at doses equivalent to 170 kg N ha−1 (Michaud et al. 2021, Chen et al. 2022). // The figure in attached file presents the experimental plan of the PROspective long-term field experiment. The 2-ha field experiment is divided into 2 sub-devices “With_N” and “Without_N” including 24 plots of 10 m × 9 m in 4 blocks of replicates and a fifth block devoted to the following of the nitrogen dynamic with bare plots or control plots without mineral fertilization. The following organic waste products are randomly distributed within each block: Sewage sludge (SLU), Co-compost of sewage sludge with green waste and wood chips (GWS), Co-compost of the home-sorted fermentable fraction of municipal solid waste and green waste, also called biowaste compost (BIOW), Farmyard manure from a dairy farm (FYM), Compost of farmyard manure (CFYM), No organic amendment (control, or CN). // From 2000 to 2019, two phases were carried out in the PROspective long-term experiment as presented in the attached table, with the treatments randomly distributed in the 2 sub-devices, as follows: In the sub-device “with_N” in 2000–2019 on all plots of the blocks 1 to 4, additional mineral N fertilization was applied at doses between 0 and 170 kg N ha−1. In the sub-device “without_N”, in 2000-2014 on all plots no additional mineral N fertilization was applied; in 2015-2019 additional biowaste digestate (DIG) was applied at doses between 0 and 170 kg N ha−1.
Auteurs, date et publication :
Auteurs Aurélia Michaud , Denis Montenach , Florent Levavasseur , Sabine Houot
Date : 2023
Catégorie(s)
#INRAE #PRO #PRO ColmarAuteurs, date et publication :
Auteurs Arnaud Giusti , Pierre Leprince , Gabriel Mazzucchelli , Jean-Pierre Thomé , Laurent Lagadic , Virginie Ducrot , Célia Joaquim-Justo , Peter P. Fong
Publication : Plos One
Date : 2013
Volume : 8
Issue : 11
Pages : e81086
Catégorie(s)
#INRAE #PEARLAuteurs, date et publication :
Auteurs David Singer , Christophe V.W. Seppey , Guillaume Lentendu , Micah Dunthorn , David Bass , Lassâad Belbahri , Quentin Blandenier , Didier Debroas , G. Arjen de Groot , Colomban de Vargas , Isabelle Domaizon , Clément Duckert , Irina Izaguirre , Isabelle Koenig , Gabriela Mataloni , M. Romina Schiaffino , Edward A.D. Mitchell , Stefan Geisen , Enrique Lara
Publication : Environment International
Date : 2025
Volume : 146
Pages : 106262
Catégorie(s)
#INRAE #OLARésumé
:unav
Auteurs, date et publication :
Auteurs Frédéric Rimet , Viet Tran-Khac , Leslie Lainé , Ghislaine Monet , OLA
Date : 2025
Catégorie(s)
#INRAE #OLARésumé
Agricultural Long-Term Experiments (LTEs) are crucial agricultural research infrastructures for monitoring the long term effects of management and environment on crop production and soil resources. We have compiled the meta-information of 616 LTEs from 30 different countries across Europe with a duration of typically 20 years, including clustered information of the European LTEs in different categories (management operations, land use, duration, status, etc.). It consists of the updated version of the dataset published by Grosse et al., (2020) but is extended by further LTE metadata, categories and research themes. Each set of metadata consists of up to 49 different attributes (categorical or numeric). Collected attributes were analyzed according to several research themes, including fertilization, crop rotation and tillage treatments. The collection of individual metadata was enlarged by the recent agreement between the BonaRes (www.bonares.de) and EJP SOIL (www.ejpsoil.eu) groups into the most comprehensive dataset in Europe, providing access to LTE and other, shorter running experiments. This dataset centralized past and existing information usually dispersed across several national actors. As such, it provides an extensive database that can be used by decision-makers, scientists, LTE owners and the public. The dataset can be updated in the future to foster networking and information exchange continuously.
Auteurs, date et publication :
Auteurs Cenk Donmez , Guillaume Blanchy , Nikolai Svoboda , Tommy D'Hose , Carsten Hoffmann , Wilfried Hierold , Katja Klumpp
Publication : Data in Brief
Date : 2022
Volume : 42
Pages : 108226
Catégorie(s)
#ACBB #ACBB Laqueuille #ACBB Theix #INRAEAuteurs, date et publication :
Auteurs Damien Costa , Anne Mercier , Kevin Gravouil , Jérôme Lesobre , Vincent Delafont , Anne Bousseau , Julien Verdon , Christine Imbert
Publication : Water Research
Date : 2025
Volume : 81
Pages : 223-231
Catégorie(s)
#Genosol #INRAEAuteurs, date et publication :
Auteurs Bieito Fernández Castro , Hannah Elisa Chmiel , Camille Minaudo , Shubham Krishna , Pascal Perolo , Serena Rasconi , Alfred Wüest
Publication : Water Resources Research
Date : 2025
Volume : 57
Issue : 5
Catégorie(s)
#INRAE #OLARésumé
Integration of the priming effect (PE) in ecosystem models is crucial to better predict the consequences of global change on ecosystem carbon (C) dynamics and its feedbacks on climate. Over the last decade, many attempts have been made to model PE in soil. However, PE has not yet been incorporated into any ecosystem models. Here, we build plant/soil models to explore how PE and microbial diversity influence soil/plant interactions and ecosystem C and nitrogen (N) dynamics in response to global change (elevated CO2 and atmospheric N depositions). Our results show that plant persistence, soil organic matter (SOM) accumulation, and low N leaching in undisturbed ecosystems relies on a fine adjustment of microbial N mineralization to plant N uptake. This adjustment can be modeled in the SYMPHONY model by considering the destruction of SOM through PE, and the interactions between two microbial functional groups: SOM decomposers and SOM builders. After estimation of parameters, SYMPHONY provided realistic predictions on forage production, soil C storage and N leaching for a permanent grassland. Consistent with recent observations, SYMPHONY predicted a CO2-induced modification of soil microbial communities leading to an intensification of SOM mineralization and a decrease in the soil C stock. SYMPHONY also indicated that atmospheric N deposition may promote SOM accumulation via changes in the structure and metabolic activities of microbial communities. Collectively, these results suggest that the PE and functional role of microbial diversity may be incorporated in ecosystem models with a few additional parameters, improving accuracy of predictions.
Auteurs, date et publication :
Auteurs Nazia Perveen , Sébastien Barot , Gaël Alvarez , Katja Klumpp , Raphael Martin , Alain Rapaport , Damien Herfurth , Frédérique Louault , Sébastien Fontaine
Publication : Global Change Biology
Date : 2025
Volume : 20
Issue : 4
Pages : 1174-1190
Catégorie(s)
#ACBB #ACBB Theix #INRAEAuteurs, date et publication :
Auteurs Y. Nouvellon , J. P. Laclau , D. Epron , G. Le Maire , J. M. Bonnefond , L. M. J. Gonçalves , J. P. Bouillet
Publication : Tree Physiology
Date : 2025
Volume : 00
Pages : 1-16
Catégorie(s)
#CIRAD #FORET Itatinga #INRAEAuteurs, date et publication :
Auteurs M. Coke
Date : 2025