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Regrowth and dry matter allocation in Quercus robur (L.) seedlings root pruned prior to transplanting

Author
ANDERSEN, L1 ; RASMUSSEN, H. N1 ; POUL1 ; BRANDER, E1
[1] Department of Ornamentals, Danish Institute of Agricultural Sciences, Kirstinebjergvej 10, 5792 Aarslev, Denmark
Source

New forests. 2000, Vol 19, Num 2, pp 205-213 ; ref : 16 ref

CODEN
NEFOE6
ISSN
0169-4286
Scientific domain
Forestry, silviculture
Publisher
Kluwer, Dordrecht
Publication country
Netherlands
Document type
Article
Language
English
Keyword (fr)
Biomasse Compétition interspécifique Modalité traitement Quercus robur Racine Repiquage Repousse spontanée Régénération forestière Répartition spatiale Stade juvénile plante Taille plante Angiospermae Arbre forestier feuillu Dicotyledones Fagaceae Spermatophyta
Keyword (en)
Biomass Interspecific competition Application method Quercus robur Root Transplanting Volunteer plant Forest regeneration Spatial distribution Plant juvenile growth stage Pruning Angiospermae Hardwood forest tree Dicotyledones Fagaceae Spermatophyta
Keyword (es)
Biomasa Competencia interespecífica Modalidad tratamiento Quercus robur Raíz Trasplante Rebrote espontáneo Regeneración forestal Distribución espacial Estado juvenil planta Poda planta Angiospermae Arbol forestal frondoso Dicotyledones Fagaceae Spermatophyta
Classification
Pascal
002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A33 Forestry / 002A33D Artificial regeneration. Forest nurseries. Planting / 002A33D01 Sowing and planting

Discipline
Silviculture
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
1403174

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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