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Enregistrement W2356730825 · doi:10.14288/1.0075274

Regeneration patterns on some old-growth and clearcut sites in the Mountain Hemlock zone of southern British Columbia

2009· article· en· W2356730825 sur OpenAlexaboutno aff
Robert B. Brett

Notice bibliographique

RevuecIRcle (University of British Columbia) · 2009
Typearticle
Langueen
DomaineEnvironmental Science
ThématiqueEcology and Vegetation Dynamics Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésRegeneration (biology)Western HemlockNatural regenerationLoggingGeographyGeologyForestryBiology

Résumé

récupéré en direct d'OpenAlex

Patterns of tree regeneration change with elevation in old-growth forest stands on British Columbia's southern coast. At lower elevations, where snow is infrequent, regeneration tends to be centred in canopy gaps caused by the death of one or more trees (the gap model). At higher elevations, where snow usually remains until early summer, regeneration is restricted to elevated microsites that emerge earliest from the snow (the tree-island model). Little is yet known about regeneration patterns in old-growth forest stands between these two systems, those within the forested Mountain Hemlock (MH) biogeoclimatic subzone. Our lack of knowledge has become more of a concern a s logging progresses into higher elevations of the subzone where there are ever-deeper snowpacks. To investigate these patterns, I established 12 study sites in the Tetrahedron Range near Sechelt, 50 km northwest of Vancouver. Six sites were in old-growth forest stands, and six were in naturally-regenerated clearcuts that had been logged 1.1-12 years prior to sampling. Six sites were steep ( - 5 0% slope) and six were flat (~ 2 5% slope). Elevations were slightly higher for old-growth sites (1080-1195 m) than clearcut sites (1060-1100 m). Old-Growth Sites: Trees were very slow-growing and took an average of almost 500 years to enter the canopy layer. Regeneration was most successful on mounds and near to a canopy tree. It was unaffected by overhead canopy cover (that is, the presence or absence of a canopy gap), apparently because of the prevalence of low-angle, diffuse light. In contrast to most forested ecosystems, almost all trees were growing on the undisturbed forest floor rather than on decaying wood or mineral soil. Overall, regeneration patterns were more consistent with the tree-island model than the gap model of regeneration since trees were most likely to survive on mounds and close to a canopy tree. Still, the presence of some regeneration in gaps, especially on steep sites, showed that the study sites occupied a transition between the gap and tree-island models. The tree-island model was best expressed on late-snowmelt sites that were most similar to high-elevation sites. It was also more apparent in the regeneration patterns of Chamaecyparis nootkatensis (Alaska yellow-cedar), a species near the upper limit of its elevational range, than those of Tsuga mertensiana (mountain hemlock), a species in the middle of its range. Clearcut Sites: Almost all trees >150 cm tall were A. amabilis (Pacific silver fir) which had been present in the previous old-growth stand before cutting. A surprisingly high proportion of trees (45%) established within a 3-year window from 1 year before logging through 1 year after logging, more than half of which were C. nootkatensis. Only 2 0% of regeneration established more than one year after logging, and none established >8 years after logging. This limited ingress likely resulted from the absence due to clearcutting of nearby seed-producing trees. There was much more friable forest floor and coarse woody debris (from logging slash) than in adjacent old-stands, but almost all regeneration was still found on undisturbed forest floor. Regeneration was less common on mounds in clearcuts than on mounds in adjacent oldgrowth stands, apparently because mounds were disturbed during logging more than other microsites. There was no evidence that Vaccinium spp. (blueberries and huckleberries) impeded regeneration since 8 4% of trees and seedlings were growing below or amidst Vaccinium and establishment and survival was higher where it was present. The stands that develop on these clearcuts will remain for many centuries dramatically different from the old-growth forest stands they replaced. Where cutting is appropriate, such negative features could be avoided by leaving an adequate seed source, retaining live and dead canopy trees, and protecting sub-canopy trees during cutting. Sites would then also retain many of the old-growth characteristics required by wildlife and other, non-timber values. Results from old-growth sites highlight the site-specific nature of regeneration patterns and the abruptness of the transition to tree-island patterns. Yet low-elevation cutting methods, especially clearcutting, are still used within this transition even where regeneration requires the protection of an overhead canopy. Any presence of regeneration patterns matching the treeisland model should warn forest managers of potential regeneration problems. In such areas, the decision to cut should not be automatic, especially given the slow growth and high non-timber values of these forests. Where cutting does occur, it should leave a s much of the subcanopy and canopy layers as possible. A s snow increases further and there is a greater presence of regeneration patterns matching the tree-island model, any cutting is inappropriate. The relationship between regeneration patterns and snow depths could provide an ecological basis for managing forests within the MH zone. Specifically, the presence of regeneration patterns that match the tree-island model (even if discrete tree islands are not present) is a reflection of severe growing conditions and potential regeneration problems. Simple measures of the relative abundance of tree-island patterns could be added during standard site diagnosis to determine the severity of growing conditions, e.g., the proportion of understory and sub-canopy trees that are growing near a canopy tree or on mounds. Such a classification would be applicable regardless of management objective.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,174
Score d'incertitude au seuil0,351

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0010,001
Communication savante0,0010,000
Science ouverte0,0010,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,005
Tête enseignante GPT0,165
Écart entre enseignants0,159 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2009
Routes d'admission1
Résumé présentoui

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