Species relative abundance and aboveground biomass production driven by climate change and stand ageing
Notice bibliographique
Résumé
Understanding forest communities? responses to climate change is central to global change ecology research. Access to large data sets from government sources has enabled extensive examinations of the effects of climate change on the boreal forest of Canada. Despite the recent proliferation of studies on boreal forests? responses to climate change, two major facets remain unexamined. First, although it is known that traits and species respond distinctly to climate change, whether these different responses have caused a compositional shift in tree communities is unknown. Second, whether the effects of local soil drainage properties alter the responses to climate change is unknown. \nA network of 1,711 permanent sample plots (PSPs) from across Alberta, Saskatchewan, and Manitoba, Canada, was used to determine whether tree community composition has shifted as a result of climate change, while controlling for the effect of endogenous processes related to stand ageing. Over the course of the last half-century, communities have shifted towards a higher prevalence of deciduous broadleaf and early-successional conifers at the expense of late-successional conifers. This shift to more productive species that are less susceptible to climate change has a negative feedback on anthropogenically-induced increases in atmospheric carbon dioxide. The increase in deciduous broadleaf species provides another negative feedback on climate warming through higher albedos and evapotranspiration. \nA similar network of 1,324 PSPs from across the three provinces was used to determine if local soil drainage altered the effect of climate change on net aboveground biomass change. Over the course of the study period, the effects of climate change on net aboveground biomass change were more pronouncedly negative for late-successional conifers, and to a lesser extent for deciduous broadleaf species on well drained than poorly drained sites. However, for drought-tolerant early-successional conifers, the negative effects of climate change were felt stronger on poorly drained than well drained sites. \nIn summary, climate change has altered community composition in the boreal forest as the responses to climate change have differed with life-history traits and by species. The negative effects of climate change are most detrimental to late-successional conifers on well drained soils. The boreal forest has shifted towards more heavily populated by early-successional conifers on well drained sites, and a mixture of deciduous broadleaf and early-successional conifers on other sites, at the expense of late-successional conifers.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».