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fundiv france database
Virginie Guyot1, Wilfried Heintz2, Laurent Burnel3
1 INRA - Toulouse, UMR 1201 DYNAFOR 24 Chemin de Borde-Rouge - Auzeville CS
52627, 31326, CASTANET TOLOSAN, France; 2 INRA / GIP Ecofor, UMR 1201
DYNAFOR 24 Chemin de Borde-Rouge - Auzeville CS 52627, CASTANET TOLOSAN,
France; 3 INRA, UMR 1201 DYNAFOR 24 Chemin de Borde-Rouge - Auzeville CS 52627,
31326, CASTANET TOLOSAN, France
Corresponding author(s): Virginie Guyot ([email protected]), Wilfried Heintz
([email protected])
Received {date}; Revised {date}; Accepted {date}; Published {date}
Citation: Combination of authors, year of data paper publication (in parentheses), Title,
Journal Name, Volume, Issue number (in parentheses), and doi of the data paper.
Resource Citation
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.
Abstract
Common european tree species sampled in Gascony hills in South-West of France.
Keywords: European tree species
Forest
France
Quercus
Gascony
FunDiv
Dynafor, Occurrence
Project details
Project title: FunDiv France
Personnel: Marc Deconchat
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 descriptions/descriptor: 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.
Data published through GBIF: http://www.gbif.fr/ipt/resource.do?r=fundiv_test
Taxonomic coverage
General taxonomic coverage description: 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.
Taxonomic ranks
Species: Quercus sp., Carpinus betulus, Prunus avium, Acer campestre, Fraxinus excelsior
Common names: Sessile, Pubescens or Pedonculate oaks, Hornbeam, Wild Cherry, Field
maple, Ash
Spatial coverage
General spatial coverage: Study area is located in France, in South-West of Toulouse
(Gascony hills).
Coordinates: 90°0'0''S and 90°0'0''N Latitude; 180°0'0''W and 180°0'0''E Longitude
Temporal coverage: May 31, 2012 - October 30, 2012
Natural collections description
Parent collection identifier: Fundiv Europe
Collection name: Feuilles Fundiv France
Collection identifier: Fundiv France
Specimen preservation method: Deep frozen
Methods
Method step description: 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.
Study extent description: 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.
Sampling description: 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.
Quality control description: leaves collected on a subsample of 141 target oaks allowed to
identify Quercus pubescens.
Datasets
Dataset description
Object name: Darwin Core Archive fundiv france database
Character encoding: UTF-8
Format name: Darwin Core Archive format
Format version: 1.0
Distribution: http://www.gbif.fr/ipt/archive.do?r=fundiv_test
Publication date of data: 2015-02-18
Language: English
Metadata language: English
Date of metadata creation: 2014-09-10
Hierarchy level: Dataset