Répertoire de publications
de recherche en accès libre
de recherche en accès libre
Fontana, Mario; Labrecque, Michel; Messier, Christian; Courchesne, Francois et Bélanger, Nicolas (2017). Quantifying the effects of soil and climate on aboveground biomass production of Salix miyabeana SX67 in Quebec. New Forests, 48 (6), 817-835. https://doi.org/10.1007/s11056-017-9599-z
Fichier(s) associé(s) à ce document :|
PDF
- NEFO-D-16-00113_R3.pdf
Contenu du fichier : Manuscrit accepté (révisé après évaluation) Accès restreint |
|
| Catégorie de document : | Articles de revues |
|---|---|
| Évaluation par un comité de lecture : | Oui |
| Étape de publication : | Publié |
| Résumé : | Soil and climatic conditions for optimizing aboveground biomass yields of bioenergy short rotation coppices (SRCs) of Salix are not well elucidated. The objective of this study was to identify and quantify the limitations induced by soil and climate, and compare the magnitude of their effects, on annual aboveground yields across ten SRCs of Salix miyabeana SX67 in Quebec, Canada. The effects of weather variation between years on yields were also tested within locations. In five plots per SRC, soil bulk density, particle size, exchangeable cations and bulk composition were analysed, and moisture deficits were estimated using leaf δ13C. For each location, numerous weather variables were simulated for spring, summer and the whole growing season. Climate was calculated by averaging weather variables for growing seasons for which annual yields were available. Annual aboveground biomass yields were modelled using linear regression, partitioning of the variance and mixed models with soil, weather and climate variables as predictors. Across SRCs, silt content, soil organic matter, pH, exchangeable Ca and Mg, and total N and Zn were significantly and positively related to aboveground yields (adj. R2 ranging from 0.38 to 0.79). Generally, annual yields were negatively related to summer temperature within SRCs (adj. R2 = 0.92) and drought across SRCs (adj. R2 = 0.54). Partitioning of the variance revealed that soil variables (~80%) had a greater effect on productivity than did climate variables (~10%). In fact, soil properties buffered or exacerbated water shortages and, thus, had a preponderant effect on yield. |
| Adresse de la version officielle : | https://link.springer.com/article/10.1007/s11056-0... |
| Déposant: | Bélanger, Nicolas |
| Responsable : | Nicolas Bélanger |
| Dépôt : | 27 oct. 2017 15:21 |
| Dernière modification : | 25 oct. 2019 19:31 |
|
RÉVISER |
