Variation in biomass distribution and nutrient content in loblolly pine (Pinus taeda L.) clones having contrasting crown architecture and growth efficiency

Villacorta, Angelica M. Garcia; Martin, Timothy A.; Jokela, Eric J.; Cropper, Wendell P.; Gezan, Salvador A.

doi:10.1016/j.foreco.2015.01.012

Cited by 17 publications

(8 citation statements)

References 30 publications

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“…Although specific comparisons are lacking in the literature, crown-based ideotypes have become a point of emphasis in recent years (e.g., Martin et al 2001, Villacorta et al 2015 and might lead to structural departures that should be accounted for in equations designed to predict biomass accumulation for natural-and planted-origin loblolly pine stands. In addition to obvious localized stocking impacts on branchiness and foliage retention, the natural-origin pines were primarily in understory positions and had variable overstory cover (i.e., seed trees) that may have Table 3.…”

Section: Discussion Local Biomass Model Outcomesmentioning

confidence: 99%

Biomass Estimates of Small Diameter Planted and Natural-Origin Loblolly Pines Show Major Departures from the National Biomass Estimator Equations

2017

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As southern pine forests (both planted and naturally regenerated) are more heavily used to provide biomass for the developing energy sectors and carbon sequestration, a better understanding of models used to characterize regional biomass estimates is needed. We harvested loblolly pines (Pinus taeda L.) between 0.5 and 15 cm dbh from several plantations and naturally regenerated stands in southeastern Arkansas to evaluate allometric relationships based on stand origin. In this process, each pine was separated into stemwood, branches ϩ foliage, and taproot biomass components. Although the differences changed with dbh, loblolly pines from planted stands generally had greater percentages of biomass allocated to foliage ϩ branches and taproots, whereas those from natural-origin stands had greater amounts in stemwood, aboveground, and total biomass. National Biomass Estimator (NBE) high-specific gravity pine equations predicted natural-origin aboveground biomass reasonably well. However, the same NBE model underpredicted aboveground biomass for small (Ͻ5 cm) diameter planted pine and overpredicted planted pines between 7 and 15 cm dbh. When scaled to stand-level estimates, the NBE models resulted in estimates for average stand diameters of 5, 10, and 15 cm that ranged from Ϫ18.6 to 2.1% for natural stands and from Ϫ21.9 to 62.8% for planted stands.

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Section: Discussion Local Biomass Model Outcomesmentioning

confidence: 99%

Biomass Estimates of Small Diameter Planted and Natural-Origin Loblolly Pines Show Major Departures from the National Biomass Estimator Equations

2017

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“…However, Brackin et al (2015) recently attributed the low N efficiencies of inorganic forms in crop systems, such as sugar cane, and the N loss to the environment, to the capacity of the root to absorb inorganic N being exceeded at certain levels of application, in contrast to organic N that more closely matched the capacity of the root. The second scenario suggests that genotypes with an overall greater performance might be less sensitive to changes in N availability, because of the greater efficiency of N use (Bongarten et al 1987;Garcia Villacorta et al 2015). In fact, recent studies have reported that treatments with organic N forms may contribute more efficiently than inorganic forms to a plant N budget, even at lower concentrations, given the lower carbon cost of assimilation (Franklin et al 2017).…”

Section: Discussionmentioning

confidence: 99%

Field-scale variability in site conditions explain phenotypic plasticity in response to nitrogen source in Pinus radiata D. Don

et al. 2019

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Aims. Productivity of forest ecosystems is constrained by site resource availability and utilisation at an individual tree level. A better understanding of nitrogen (N) nutrition addition to forest ecosystems is critical for maintaining optimal plantation productivity, given the influence of an environment gradient, genetics, and their interactions. Methods. We studied the aboveground growth response in a plantation setting of ten commercial P. radiata genotypes to N-fertilisation using three different N sources, and also assessed the effect of on-site environmental factors on this response. We compared, on equimolar basis, the effect of N-fertilisation with inorganic N (NH4NO3), organic N (L-arginine), and the two N sources combined (L-arginine:NO3-) to that of unfertilised trees on tree height, diameter, descriptors of microsite variability, and climate / seasonal information. After 2.5 years of fertilisation, genotype-specific variation in aboveground growth response to N sources were measured, and these were significantly influenced by field-scale heterogeneity. Results. Across P. radiata genotypes, trees treated with inorganic N forms showed suppressed growth compared to unfertilised trees, while trees fertilised with organic N (either alone or in combination with inorganic N) were not significantly different than the untreated controls. We provide evidence of 2 significant interactions between N source and genotype, N source and cover as well as genotype and microsite variability affecting temporal trends in tree volume. Conclusions. We conclude that an understanding of field-scale variability in soil properties and associated environmental variables is essential for understanding genotype performance as they are crucial determinants of intraspecific variation in response to N-fertilisation. INTRODUCTION Given the longevity of sessile species, phenotypic plasticity provides an opportuntity to sense, change, and adapt their growth and physiological responses to cope with changes in environmental conditions (Bradshaw 1965; Corcuera et al. 2010). An ongoing challenge is to clarify which biological traits are manifested as genotypic variation from evolutionary and breeding history (G), phenotypic response to environmental variability (E) or combinations of both (G × E). Abundant evidence supports the hypotehsis that plant species and population responses differ across different environments (e.g. Schlichting and Levin 1984; Valladares et al. 2000). However, genotype-specific variation can be exhibited when grown in comparable conditions, affecting adaptive capacity and, consequently, tree performance (Souza et al. 2017). The flexibility and adaptability of tree genotype requires special attention, not only to understand the complexity of traits in breeding programmes, but also for the greater ecological impact that the increasing inter-seasonal climate changes may have in long-lived organisms. Pinus radiata D. Don (alt. Monterey pine) is the most common introduced softwood plantation species growing in temperat...

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“…R 2 ) and root mean square error (RMSE -Socha & Wezyk 2007). Bias correction factors (CF) in the logarithmic transformation were calculated using the standard error of the estimate (Garcia Villacorta et al 2015). Analyses of C and N concentrations were performed using the PROC GLM procedure of the software package SAS ® (SAS Institute 1995), where tree DBH was classed as a covariate.…”

Section: Methodsmentioning

confidence: 99%

Allometric equations to assess biomass, carbon and nitrogen content of black pine and red pine trees in southern Korea

Kim¹,

Yoo²,

Jung³

et al. 2017

iForest

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A total of 74 Japanese black pine (Pinus thunbergii Parl.) and red pine (P. densiflora S. et Z.) trees were destructively sampled in southern Korea, which is severely affected by pine wilt disease (PWD). Species-specific allometric equations were developed to estimate the biomass, carbon (C) and nitrogen (N) content of the tree components (i.e., stem wood, stem bark, branches, needles and roots) based on the diameter at breast height (DBH) and stem diameter at 20 cm aboveground (D20). The C concentrations of the various tree components were not correlated with DBH (P > 0.05), except for the C concentration in the stem bark (r = -0.29, P < 0.05) of the black pine and the branches (r = 0.40, P < 0.05) of the red pine. However, the N concentrations in the stem wood (r = -0.53, P < 0.05), stem bark (r = -0.37, P < 0.05) and branches (r = -0.40, P < 0.05) of the black pine were negatively correlated with DBH. The mean C concentrations of the tree components were not significantly different between the black pine and red pine, except for the stem bark, whereas the mean N concentrations were significantly lower in the black pine than in the red pine, except for the stem bark. The allometric equations developed for the biomass, C and N content for all the tree components were significant (P < 0.05). The adjusted coefficient of determination (adj. R 2 ) of the DBH allometric equations ranged from 0.66 to 0.97, while the coefficients for the D20 equations were between 0.66 and 0.95. Black pines consistently exhibited more biomass, C and N content in the tree components compared with the red pines with similar DBH or D20. These results suggest that the accuracy of estimates for biomass, C and N stocks in black pine and red pine forests could be improved by specific allometric equations for PWD-disturbed forests.

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Variation in biomass distribution and nutrient content in loblolly pine (Pinus taeda L.) clones having contrasting crown architecture and growth efficiency

Cited by 17 publications

References 30 publications

Biomass Estimates of Small Diameter Planted and Natural-Origin Loblolly Pines Show Major Departures from the National Biomass Estimator Equations

Biomass Estimates of Small Diameter Planted and Natural-Origin Loblolly Pines Show Major Departures from the National Biomass Estimator Equations

Field-scale variability in site conditions explain phenotypic plasticity in response to nitrogen source in Pinus radiata D. Don

Allometric equations to assess biomass, carbon and nitrogen content of black pine and red pine trees in southern Korea

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