MétaCan
Menu
Retour à la cohorte
Enregistrement W6959276596 · doi:10.7939/r3-es61-9j43

Forest Tree Population Response to Climate Variability and Climate Change: Implications for Reforestation

2022· dissertation· en· W6959276596 sur OpenAlexaboutno aff

Notice bibliographique

RevueUniversity of Alberta Library · 2022
Typedissertation
Langueen
DomaineSocial Sciences
ThématiqueLegal and Regulatory Analysis
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésReforestationClimate changeTaigaForest managementPopulationVegetation (pathology)Population growthForest ecologyAdaptive capacity

Résumé

récupéré en direct d'OpenAlex

This dissertation aims to quantify the sensitivity and adaptive capacity of forest tree species to climate change in Canada and North America, with applications of guiding sustainable forest management through case studies focusing on Alberta. The general idea is that management interventions should focus on ecosystems, species or populations that are most likely to experience stress or mortality, or alternatively to focus on new forest management opportunities associated with warming climate conditions at high latitudes. The research addresses several specific problems at different spatial scales. The research starts at the broadest scale, for North America, with a remote-sensing based vulnerability assessment of forest ecosystems to historical droughts. One of the most striking findings was a very high spatial diversity of vegetation response to historical climate variability. Broad continental patterns of vegetation response are readily apparent and conform to expectations, with southern interior ecosystems being limited by water availability and boreal populations limited by short growing seasons. However, within these broad geographic trends in growth response, finer scale (and often contradictory) response patterns emerge. For example, across the western boreal forest local patches show populations restricted in growth by warm summer temperatures and drought. Next, a species-specific analysis investigates the adaptive capacity of an important boreal forest tree species, white spruce, using dendrochronological analysis. Results showed evidence for population differentiation in resistance and recovery parameters, but provenances conformed to approximately the same growth rates under drought conditions and had similar resilience metrics. The lack of populations with better growth rates under drought conditions is contrary to expectations for a wide-ranging species with distinct regional climate and we provide a counter example for drought tolerance traits, where assisted migration prescriptions may be ineffective to mitigate climate change impacts. An analysis of population response in the context of climatic conditions across Canada supports the view that northeastern Canada will provide a refugium for white spruce under climate change, while the species is sensitive to growth reductions under climate change in the western boreal. In a case study for Alberta, a comprehensive series of genetic test plantations was analyzed to determine the optimal climate niche of selected planting stock. The results suggest that seed transfers can improve growth in some cases. However, the climate change vector does not always align with geographic gradients, which makes finding well adapted seed sources difficult or impossible. This issue may partially be addressed by relying on additional silvicultural adaptation options to address climate change. The case study provides a methodological template of how jurisdictions can determine feasibility as well as magnitude and direction of assisted migration prescriptions to adapt their reforestation programs to new planting environments. When assisted migration is used to address climate change, tree seedlings may have to be moved to substantially colder environments in anticipation of climate warming over their life span. To assess the risk associated with moving planting stock north or to higher elevation, a climatic assessment of frost risk associated with assisted migration was performed. The results indicate that late spring and early fall frost risks do not change significantly for transfers toward the north. In contrast, moving planting stock toward higher elevation generally leads to a substantial increase in exposure to unseasonal frosts. In conclusion, transfers toward the north are preferable to transfers up in elevation in reforestation for the most important commercial tree species in western Canada that were evaluated in this study. Lastly, the research explores how results may be translated to management prescriptions through an on-line seed selection tool for forest managers to identify the overall best planting stock for a reforestation site, synthesizing multiple criteria including vulnerability, adaptive capacity and growth of species and genotypes.

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)0,001
score de la tête « metaresearch » (Gemma)0,002
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 enseignants0,656
Score d'incertitude au seuil0,685

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0010,001
Science ouverte0,0000,000
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 Opus0,013
Tête enseignante GPT0,262
Écart entre enseignants0,248 · 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

Citations1
Publié2022
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueUniversity of Alberta LibraryMême sujetLegal and Regulatory AnalysisTravaux en français237 207