Shade-tolerance as a predictor of responses to elevated CO2 in trees

Kerstiens, Gerhard (1998) Shade-tolerance as a predictor of responses to elevated CO2 in trees. Physiologia Plantarum, 102 (3). pp. 472-480. ISSN 0031-9317

Full text not available from this repository.

Abstract

Evidence from 10 studies comparing angiosperm trees and 5 studies comparing conifers or differing shade-tolerance was analysed. The number of intraphyletic comparisons in which the more shade-tolerant species showed the greater relative increase of biomass in elevated CO2 was significantly higher than would be expected by chance alone. It is suggested that more shade-tolerant species are inherently better disposed. in terms of plant architecture and partitioning of biomass and nitrogen, to utilise resources (light, water, nutrients) that are potentially limiting in elevated CO2 and that these traitu are responsible for the interaction between shade-tolerance and CO2 concentration. Compared with less shade-tolerant angiosperm trees, more shade-tolerant angiosperm species generally have a lower lear area ratio in ambient CO2 and show a smaller relative reduction in elevated CO2. Furthermore, leaf nitrogen content is usually lower in more shads-tolerant angiosperm species and tends to be more strongly reduced by elevated CO2 in those species. Within angiosperm trees, more shade-tolerant species showed a stronger stimulation of net leaf photosynthetic I ate in most experiments, but this trend was not significant.

Item Type:
Journal Article
Journal or Publication Title:
Physiologia Plantarum
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1100/1110
Subjects:
?? assimilationbiomassconiferselevated co2leaf area indexplant architectureshade-tolerancestomatal conductancetreesunderstoreycarbon-dioxide enrichmentc-3 photosynthetic systemleaf gas-exchangerain-forest treesfagus-sylvatica latmospheric co2successional sta ??
ID Code:
51288
Deposited By:
Deposited On:
17 Nov 2011 12:20
Refereed?:
Yes
Published?:
Published
Last Modified:
15 Jul 2024 12:30