Tree growth and treeline responses to temperature: Different questions and concepts
Notice bibliographique
Résumé
Climate warming is expected to enhance tree growth at alpine treelines. A higher growth rate is forecasted as temperatures rise and growth becomes less dependent on the temperature rise. Since radial growth is just one component of treeline dynamics those forecasts do not necessarily apply to treeline elevation or latitude; treelines can shift upward or poleward or remain stable. In his letter to the editor, Körner (2021) commented on our recent assessment of climate impacts on tree growth at treeline (Camarero et al., 2021). We share some of his opinions such as the nonlinear responses of growth to temperature. We also agree that focusing on temperature-dependent processes such as growth can improve forecasts of treeline responses to climate. However, we disagree on his commentary suggesting that we concluded treeline will no longer be limited by low temperature and that this implies treeline and isotherms will diverge. For the sake of clarity, we must differentiate growth responses to temperature of treeline trees from treeline position responses to temperature. It must be noted that radial growth is just one component of treeline dynamics which consist of other processes, including establishment and mortality. First, our study did not aim to predict shifts in treeline position, rather we aimed to model changes in growth of treeline trees as a function of temperature. Second, non-thermal, local factors can affect growth responses at treeline including, for instance, size and age structures, biotic interactions, soil conditions or precipitation regimes (Camarero et al., 2017; Fajardo & McIntire, 2012; Wang et al., 2016). The explanatory power of growth variation based on temperature models did not evenly increase with elevation confirming threshold growth responses to temperature at treeline (Paulsen et al., 2000). According to Körner (2021), such variation would be explained by differential growth enhancement by climate warming shifting upwards or polewards. He suggests that once a threshold is surpassed, thermal effects diminish, and this would explain our findings because growth of 20th-century treeline trees will not be any more limited by low temperature since they will not form the “climatic treeline.” We reconstructed growth of 20th-century treeline trees and projected their growth rates during the 21st century based on climate scenarios with different warming rates. Our forecasts involved treeline trees, and many recruited during the 19th century, but they should also apply to treeline trees recruited recently, for example, 50 years ago. If isotherms shift upslope or poleward due to climate warming, treeline trees will be exposed to more or less thermal constraints of growth depending on treeline shift rates. Some treelines could shift while others could show lagged or null responses to climate. Isotherms may move upslope, but treeline trees may not; our study focused on trees growing at the altitudinal or latitudinal limits of tree existence today regardless of where the treeline will be in the future. Non-thermal factors such as soil moisture can also impact treeline dynamics by influencing regeneration, growth and mortality rates, thus making treeline shifts less dependent on temperature than expected (Batllori et al., 2009; McIntire et al., 2016; Sidgel et al., 2018). This would explain why many treelines are not shifting upward or poleward in response to climate warming (Harsch et al., 2009). Overall, we conclude that treeline trees showing a high growth limitation by cold temperatures during the 20th century could become less responsive to warmer conditions during the 21st century. Not applicable.
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) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 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 ».