Dataset : Phytomanagement - Tavazzano (IT)

General metadata
Identifiers :
local : FR-18008901306731-2021-03-26
external :
doi:10.25666/DATAUBFC-2021-03-26
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 Tavazzano (Italy). A co-cropping poplar nettle/plantation has been established in 2019 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 Tavazzano (Italy) 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), microbiology (fundamental biology), engineering, environmental (sciences of the universe), environmental sciences (sciences of the universe)
Keywords :
Dates :
Data acquisition : from 2019 ongoing
Metadata record :
Creation : 26 Mar 2021
Update : 30 Jun 2022
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

Collection |
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Quotation
Michel Chalot (2021): Phytomanagement - Tavazzano (IT). Chrono-environnement. doi:10.25666/DATAUBFC-2021-03-26
Coverages
Spatial coverage :
- Tavazzano: latitude between 45° 19' 31" N and 45° 19' 4" N, longitude between 9° 24' 6" E and 9° 24' 30" E
Administrative metadata
Data creator :
Michel Chalot [1] [2]
Project member :
Vincent Placet [3],
Benoit Valot [1] [2],
Coralie Bertheau-Rossel [1] [2],
David Cazaux [4],
Stefano Amaducci [5],
Andrea Ferrarini [5],
Stéphane Pfendler [1] [2],
Chloé Viotti [1] [2]
[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] : Franche-Comté Electronique Mécanique Thermique et Optique - Sciences et Technologies (UMR 6174) (Université de Franche-Comté)
[4] : INOVYN France
[5] : Università Cattolica del Sacro Cuore
Publisher :
Laboratoire Chrono-environnement (UMR 6249)
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