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fundiv france database

Latest version published by Institut national de recherche pour l’agriculture, l’alimentation et l’environnement (INRAE) on Mar 22, 2016 Institut national de recherche pour l’agriculture, l’alimentation et l’environnement (INRAE)

Common european tree species sampled in Gascony hills in South-West of France.

Data Records

The data in this occurrence resource has been published as a Darwin Core Archive (DwC-A), which is a standardized format for sharing biodiversity data as a set of one or more data tables. The core data table contains 3,257 records.

This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.

Downloads

Download the latest version of this resource data as a Darwin Core Archive (DwC-A) or the resource metadata as EML or RTF:

Data as a DwC-A file download 3,257 records in English (35 KB) - Update frequency: not planned
Metadata as an EML file download in English (14 KB)
Metadata as an RTF file download in English (12 KB)

Versions

The table below shows only published versions of the resource that are publicly accessible.

How to cite

Researchers should cite this work as follows:

ALIGNIER A.. (2010) Distribution des communautés végétales sous l’influence des lisières forestières dans des bois fragmentés. Thèse de doctorat de l’université de Toulouse. BURNEL L., GAUTHIER G., WILLM J., HEINTZ W., GUYOT V.. Sélection de placettes forestières à l’échelle d’un territoire : complémentarité entre Système d’Information Géographique et approaches sur le terrain. Submitted in Cahiers de l’INRA. DUPOUEY J.L., BACHACOU J., COSSERAT R., ABERDAM S., VALLAURI D., CHAPPART G., CORVISIER DE VILLELE M.A.. (2007) Vers la réalisation d'une carte géoréférencée des forêts anciennes de France. Revue du Comité Français de Cartographie (CFC), 191, 85-98. ESRI. (2012) Using ArcGis for Desktop version 10.2: The geographic information system for everyone. Redlands: Environmental Systems Research Institute, Inc.

Rights

Researchers should respect the following rights statement:

The publisher and rights holder of this work is Institut national de recherche pour l’agriculture, l’alimentation et l’environnement (INRAE). This work is licensed under a Creative Commons Attribution (CC-BY) 4.0 License.

GBIF Registration

This resource has been registered with GBIF, and assigned the following GBIF UUID: 25ff1a48-668d-470a-a149-5fa0e8535971.  Institut national de recherche pour l’agriculture, l’alimentation et l’environnement (INRAE) publishes this resource, and is itself registered in GBIF as a data publisher endorsed by GBIF France.

Keywords

European tree species Forest France Quercus Gascony FunDiv Dynafor; Occurrence; Observation

Contacts

Who created the resource:

Virginie GUYOT
PhD
INRA - Toulouse UMR 1201 DYNAFOR 24 Chemin de Borde-Rouge - Auzeville CS 52627 31326 CASTANET TOLOSAN FR +335 61 28 54 96
https://dynafor.toulouse.inra.fr/web/
Wilfried HEINTZ
Engineer
INRA - Toulouse UMR 1201 DYNAFOR 24 Chemin de Borde-Rouge - Auzeville CS 52627 31326 CASTANET TOLOSAN FR +335 61 28 55 16
https://dynafor.toulouse.inra.fr

Who can answer questions about the resource:

Virginie GUYOT
PhD
INRA - Toulouse UMR 1201 DYNAFOR 24 Chemin de Borde-Rouge - Auzeville CS 52627 31326 CASTANET TOLOSAN FR +335 61 28 54 96
https://dynafor.toulouse.inra.fr/web/
Wilfried HEINTZ
Engineer
INRA - Toulouse UMR 1201 DYNAFOR 24 Chemin de Borde-Rouge - Auzeville CS 52627 31326 CASTANET TOLOSAN FR +335 61 28 55 16
https://dynafor.toulouse.inra.fr/

Who filled in the metadata:

Wilfried Heintz
Engineer
INRA / GIP Ecofor UMR 1201 DYNAFOR 24 Chemin de Borde-Rouge - Auzeville CS 52627 31326 CASTANET TOLOSAN FR +33 5 61 28 55 16
https://dynafor.toulouse.inra.fr/web/

Who else was associated with the resource:

Processor
Laurent Burnel
Technician
INRA UMR 1201 DYNAFOR 24 Chemin de Borde-Rouge - Auzeville CS 52627 31326 CASTANET TOLOSAN FR

Geographic Coverage

Study area is located in France, in South-West of Toulouse (Gascony hills).

Bounding Coordinates South West [43.17, 0.74], North East [43.32, 1.05]

Taxonomic Coverage

All species indexed are tree species: Gymnosperms: 2 Pinaceae species Angiosperms: 4 Betulaceae, 1 Fabaceae, 6 Fagaceae, 2 Malvaceae, 3 Oleaceae, 1 Rhamnaceae, 6 Rosaceae, 1 Salicaceae, 2 Sapindaceae, 1 Ulmaceae species. Distinctness between Sessile, Pubescens or Pedonculate oaks was impossible on the field.

Species  Quercus sp. (Sessile, Pubescens or Pedonculate oaks),  Carpinus betulus (Hornbeam),  Prunus avium (Wild Cherry),  Acer campestre (Field maple),  Fraxinus excelsior (Ash)

Temporal Coverage

Start Date / End Date 2012-05-31 / 2012-10-30

Project Data

No Description available

Title FunDiv France
Funding The research leading to these results received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement n°265171.
Study Area Description Datas come from a subproject of FunDiv Europe project. The subproject ws conducted in South-West of France. Many tree species were described and geolocalized. Dataset were recorded on a period of 5 months in 2012.
Design Description Four modalities constituted experimental design: target oaks (Quercus petraea or Q. robur) in pure versus heterospecific neighbourhood, located in edge or interior of forest. Herbivore insects damage or abundances was assessed on oaks in order to test a tree diversity and/or position effect on insect guilds.

The personnel involved in the project:

Point Of Contact
Marc Deconchat

Sampling Methods

Wood selection: First, for each site, ordnance survey maps providing land uses from the early 19th century were digitized and georeferenced according to the method described by Dupouey et al. (2007). Then, current tree vegetation was extracted from BD TOPO© (IGN 2010) with GUIDOS free software. To obtain a sample of old fragmented forests, those two informations were crossed. Second, 20 woods on the 42 prospected were retained with criteria of size from 14 to 50 ha, potential of target trees in pure and mixed neighbourood and accessibility (Burnel et al. submitted). To avoid eventual edge effect inside, forests crossed by significant road, clearing, recent cutting, elongated in shape or too small (Alignier 2010) were eliminated. Edge limits were redrawn in case of recent cutting to the forest border. The ArcGIS software, 10.2 version (ESRI 2012), was used for all cartographic work. Tree selection: Each wood was visited to describe target trees (Quercus robur or petraea) and their neighbor trees. They were chosen at the edge (until 30 meters from the border) or in the forest interior (more than 60 meters from the border). For each target tree, coordinates and some measurements (height, DBH, health condition) were recorded. Neighbor trees were considerated as tree whose crown was at a maximum of 3 meters of crown of the target oak. Only neighbor trees with DBH up to 10 cm and/or taller than the half of average height of canopy were described to exclude too small individuals. Species, distance between neighbor stem and target stem, height and dominance status were noted.

Study Extent Valleys and hills of Gascony in South-West of France, on Lamothe and Aurignac study sites. Trees were recorded once, from spring to automn 2012.
Quality Control leaves collected on a subsample of 141 target oaks allowed to identify Quercus pubescens.

Method step description:

  1. Sample of 100 leaves were collected per tree on a subsample of 141 taget oaks. Leaves were frozen at -18°C. Then, damage or abundance of 7 insect guilds were assessed. Crown defoliation was also evaluated in the fiels.

Collection Data

Collection Name Feuilles Fundiv France
Collection Identifier Fundiv France
Parent Collection Identifier Fundiv Europe
Specimen preservation methods Deep frozen

Additional Metadata

Alternative Identifiers 25ff1a48-668d-470a-a149-5fa0e8535971
http://dynids.toulouse.inra.fr:8180/ipt/resource?r=fundiv_france_database