Dataset : Phytomanagement - Bernburg (DE)
General metadata
Identifiers :
local : FR-18008901306731-2021-04-22
external :
doi:10.25666/DATAUBFC-2021-04-22
Description :
In the frame of the NETFIB project, the project partners study the production of nettle in agro-forestry systems, within a poplar-phytomanaged plantation, aiming at lowering the impact of degradation of polluted sites while maximazing ecosystem services. The objective of the production of the industrial plant nettle is addressed by using existing polluted sites, and more specifically by implementing a demonstration site at Bernburg (Germany). A co-cropping poplar/nettle plantation has been established in 2020 at this site adopting a set of management options defined within the NETFIB consortium. Ecosystem services delivery will be assessed for the entire duration of the project. Soil samples, representative of the agro-forestry system adopted at the Bernburg site, will be collected and analysed in order to investigate the suitability of the developed phytotechnologies in potential restoring soil structure, functions and quality, positively influencing ecosystem services.
Disciplines :
forestry (applied biology - ecology), mycology (applied biology - ecology), cell biology (fundamental biology), materials science, biomaterials (fundamental biology), microbiology (fundamental biology), engineering, environmental (sciences of the universe), environmental sciences (sciences of the universe)
Keywords :
Dates :
Data acquisition : from 2020 ongoing
Metadata record :
Creation : 22 Apr 2021
Update : 18 Jun 2021
Additional information :
Data produced as part of the Ph-D of:
- Chloé VIOTTI, doctoral student, co-supervised by Michel CHALOT (PR), Ph-D director and Coralie BERTHEAU-ROSSEL, Ph-D co-director (MCF)
- Chloé VIOTTI, doctoral student, co-supervised by Michel CHALOT (PR), Ph-D director and Coralie BERTHEAU-ROSSEL, Ph-D co-director (MCF)
Audience :
University: master, Research, Stakeholder, Informal Education
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Quotation
Michel Chalot (2021): Phytomanagement - Bernburg (DE). Chrono-environnement. doi:10.25666/DATAUBFC-2021-04-22
Coverages
Spatial coverage :
- Bernburg: latitude between 51° 49' 54" N and 51° 48' 57" N, longitude between 11° 47' 11" E and 11° 49' 8" E
Taxonomic coverage :
- Plantes, Champignons, BactériesRegnumBacteria
(Bacteria), Plantae (Plant), Fungus (Fungi)
Administrative metadata
Data creator :
Michel Chalot [1] [2]
Project member :
Coralie Bertheau-Rossel [1] [2],
David Cazaux [3],
Chloé Viotti [1] [2],
Carsten Lühr [4],
Hans-Jörg Gusovius [4],
Uwe Reh [5]
[1] : Laboratoire Chrono-environnement (UMR 6249) (Université de Franche-Comté)
[2] : Observatoire des Sciences de l'Univers - Terre, Homme, Environnement, Temps, Astronomie (UAR 3245) (Université de Franche-Comté)
[3] : INOVYN France
[4] : Leibniz-Institute for Agricultural Engineering and Bioeconomy
[5] : SOLVAY
Publisher :
Laboratoire Chrono-environnement (UMR 6249)
Science contact :
Michel Chalot
Computing contact :
Benoit Valot
Projects and funders :
-
NETFIB
- ERA-NET Suscrop (European project)
-
Thèse de doctorat en biologie des populations et écologie - Chloé Viotti
- Contrat doctoral Ministère de l'Enseignement Supérieur, de la Recherche et de l'Innovation (MESRI) (Ministry)
Access :
restricted
Access details :
To access the data, please contact the scientific data manager.
Technical metadata
Formats : application/gpx+xml, application/pdf, application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, image/jpeg, text/csv, text/plain
Data acquisition methods :
- Derived or compiled data : Microbial diversity using environnemental barcoding (doi:10.1016/j.soilbio.2015.08.008; doi:10.1007/s00248-017-0984-0; doi:10.1016/j.scitotenv.2017.12.069)
- Experimental data : Soil and plant analysis, dendrochemistry using a Hg analyser (doi:10.1016/j.envres.2016.03.034)
Plant ecophysiology (doi:10.1016/j.chemosphere.2015.11.103)
Nettle production and fiber quality using a Laroche (France) Cadette 1000 "all fibre" extraction device (doi:10.1016/j.indcrop.2019.111997)
Soil functions using q-PCR and activity of enzymes involved in biogeochemical cycles via fluorometric analysis (doi:10.1016/j.scitotenv.2018.05.073)
Datatype : Dataset
