2005
DOI: 10.1051/forest:2005045
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Forest and shrubland canopy carbon uptake in relation to foliage nitrogen concentration and leaf area index: a modelling analysis

Abstract: -A multi-layer canopy model was used to simulate the effects of changing foliage nitrogen concentration and leaf area index on annual net carbon uptake in two contrasting indigenous forest ecosystems in New Zealand, to reveal the mechanisms regulating differences in light use efficiency. In the mature conifer-broadleaved forest dominated by Dacrydium cupressinum, canopy photosynthesis is limited principally by the rate of carboxylation associated with low nutrient availability. Photosynthesis in the secondary … Show more

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Cited by 13 publications
(4 citation statements)
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“…Newly applied drip irrigation would now allow a higher stand density [15,28]. The variation in biometric parameters between trees was large for several reasons including: (1) age differences (some young trees were replaced), (2) pruning treatment (major branches have been removed from crown centers to improve canopy illumination and from two directions at crown edges to make free space for pipe lines) and (3) tree health (there were several rotten or severed branches with consequent variation in total and live stem circumference).…”
Section: Stand Biometrymentioning
confidence: 99%
“…Newly applied drip irrigation would now allow a higher stand density [15,28]. The variation in biometric parameters between trees was large for several reasons including: (1) age differences (some young trees were replaced), (2) pruning treatment (major branches have been removed from crown centers to improve canopy illumination and from two directions at crown edges to make free space for pipe lines) and (3) tree health (there were several rotten or severed branches with consequent variation in total and live stem circumference).…”
Section: Stand Biometrymentioning
confidence: 99%
“…The exclusion effect on ecosystem C stocks was quantified as ([exclusion C stock − control C stock]/[exclusion C stock]) following Wardle et al (2001), where negative values indicate that a C stock is higher outside of the exclosure. We included ungulate and possum abundance (Bellingham et al, 2020), representing common biotic interactions within these forests and key known environmental factors affecting productivity including mean annual temperature, water deficit, basal area, functional diversity, and soil fertility (Coomes et al, 2005; Holdaway et al, 2017; Mason et al, 2010; Richardson et al, 2004; Whitehead et al, 2001). Data were derived from either fecal pellet counts (see Appendix S2: Section S1.3), interpolated climate layers ( NZEnvDS ; McCarthy et al, 2021b), or plot‐level observations (from exclosure sites following Mason et al (2010)) and are available online (uploaded here: https://datastore.landcareresearch.co.nz/dataset/ungulate-removal-and-forest-carbon-stocks; Richardson et al, 2023).…”
Section: Methodsmentioning
confidence: 99%
“…Some parameter estimates were based on the earlier modelling work of Whitehead et al (2004) and Whitehead and Walcroft (2005) and the observations of Burrows et al 1 and Burrows 2 . Other specific information on stand allometric properties was sourced from Scott et al (2000) and leaf nitrogen concentrations from Ross et al (2009) .…”
Section: Methodsmentioning
confidence: 99%