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Datasets of productivity and vegetation composition of boreal stands from an experiment comparing silviculture scenarios of increasing intensity after 20 years.
Urli, Morgane; Thiffault, Nelson; Chalifour, Daniel.
Afiliação
  • Urli M; Centre de Recherche et d'Innovation Sur Les Végétaux, Département des Sols et de Génie Agroalimentaire, Université Laval, 2480 boul. Hochelaga, Quebec, QC G1V 0A6, Canada.
  • Thiffault N; Canadian Wood Fibre Centre, Canadian Forest Service, Natural Resources Canada, 1055, du P.E.P.S., P.O. Box 10380, Sainte-Foy Stn., Quebec, QC G1V 4C7, Canada.
  • Chalifour D; Centre for Forest Research, Faculty of Forestry, Geography and Geomatics, Université Laval, 2405 rue de la Terrasse, Quebec, QC G1V 0A6, Canada.
Data Brief ; 43: 108387, 2022 Aug.
Article em En | MEDLINE | ID: mdl-35781981
This data article describes datasets of plant community composition, dendrometric measurements, quantity and quality of snags of humid boreal stands (Quebec, Canada) from an experiment comparing silviculture scenarios of increasing intensity: (i) careful logging around advance growth (CLAAG); (ii) CLAAG followed by pre-commercial thinning; (iii) plantation followed by mechanical release; and (iv) plantation followed by chemical release and within five naturally disturbed sites. These data enable researchers to examine vegetation biodiversity recovery, ecosystem variables such as dead wood, and boreal stand productivity 20 years following the start of increasing-intensity silviculture scenarios. As a result, these data can be used to investigate the trade-off between keeping important ecosystem aspects of natural forests and maintaining and/or growing merchantable wood production at the stand level. This trade-off is the paradigm of forest ecosystem-based management, which aims to reduce the ecological distance between natural and managed forests in order to balance ecological challenges with the provision of socioeconomic services.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Data Brief Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Data Brief Ano de publicação: 2022 Tipo de documento: Article