Above- and below-ground biomass partitioning and fine root morphology in juvenile Sitka spruce clones in monoclonal and polyclonal mixtures

Donnelly, Liam; Jagodziński, Andrzej M.; Grant, Olga M.; O'Reilly, Conor

doi:10.1016/j.foreco.2016.04.029

Cited by 19 publications

(17 citation statements)

References 29 publications

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“…Plants exhibit high phenotypic plasticity in response to environmental factors. Although the aboveground parts can exhibit differences in size, growth rate, and dry matter distribution even within the same plant [12], variation in tree density can affect growth and biomass partitioning [74,75]. Hyatt et al found that increased density resulted in higher ratios of stem to leaf biomass in Abution [76].…”

Section: Variation In Fine Root Traits Under Differing Stand Densitymentioning

confidence: 99%

Fine-Root Responses of Populus tomentosa Forests to Stand Density

Cui

Luo³

et al. 2018

Forests

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Stand density directly affects the distribution of ecological factors such as light, heat, and water in forest communities and changes the diversity and structure of undergrowth species, thereby affecting soil health. Fine roots can provide water and nutrients to plants rapidly in the fierce competition of soil resources, so as to get rid of environmental factors. This study examined the fine-root responses of the Populus tomentosa clone S86 to three stand densities (plant × row spacing: 2 × 2 m, 4 × 3 m, 4 × 5 m). We measured the biomass, morphology, and nitrogen content of lower- (1–3 order) and higher-order (>3 order) fine roots, and analyzed soil chemical properties in 10–30 cm. The soil from the density (2 × 2 m) stands showed lower soil organic matter content, available nitrogen, available phosphorous, and available potassium than others. Obviously, lower and higher-order fine roots were different: biomass of the >3 order accounted for 77–87% of the total biomass, 1–3-order fine-root diameter around 0.28–0.38 mm, while >3-order fine root were 1.28–1.69 mm; the length of 1–3-order fine root was longer than the >3 order, and root length density, specific root length, and nutrient content between the 1–3 and >3 orders were different. At 2 × 2 m, 1–3-order fine-root biomass was the highest, 132.5 g/m3, and the 1–3-order fine-root length, diameter, surface, root length density was also the highest; at the same time, the 1–3-order fine-root total nitrogen and organic matter content was also the highest, while the >3 order was highest under 4 × 3 m or 4 × 5 m. The findings of this study show that stand density affected the available nutrient content of the soil. When soil resources were poor, the biomass, morphology, and chemical content of fine roots were adjusted to increase the nutrient absorption rate, particularly in the lower-order roots.

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Section: Variation In Fine Root Traits Under Differing Stand Densitymentioning

confidence: 99%

Fine-Root Responses of Populus tomentosa Forests to Stand Density

Cui

Luo³

et al. 2018

Forests

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“…In the few studies where interspecific interactions on RPE were investigated it was shown that competition for soil mineral N between plants and microbes could be intensified due to complementarity and selection effects on plant N uptake thereby reducing the RPE (Dijkstra et al, 2010;Pausch et al, 2013). Furthermore, when plants share the same soil (regardless if they are of different or the same species), this can alter their root biomass and distribution, and modify their root physiology, resulting in greater depletion of soil nutrients (Beyer et al, 2013;Donnelly et al, 2016). Thus, intraspecific competition (especially for nutrients) may also modify the plant-microbe-soil interactions, and this modification may also be species-specific.…”

Section: Introductionmentioning

confidence: 99%

Rhizosphere priming effects on soil carbon and nitrogen dynamics among tree species with and without intraspecific competition

et al. 2018

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Rhizosphere priming effects (RPEs) play a central role in modifying soil organic matter mineralization. However, effects of tree species and intraspecific competition on RPEs are poorly understood. We investigated RPEs of three tree species (larch, ash and Chinese fir) and the impact of intraspecific competition of these species on the RPE by growing them at two planting densities for 140 d. We determined the RPE on soil organic carbon (C) decomposition, gross and net nitrogen (N) mineralization and net plant N acquisition. Differences in the RPE among species were associated with differences in plant biomass. Gross N mineralization and net plant N acquisition increased, but net N mineralization decreased, as the RPE on soil organic C decomposition increased. Intraspecific competition reduced the RPE on soil organic C decomposition, gross and net N mineralization, and net plant N acquisition, especially for ash and Chinese fir. Microbial N mining may explain the overall positive RPEs across species, whereas intensified plant-microbe competition for N may have reduced the RPE with intraspecific competition. Overall, the species-specific effects of tree species play an important role in modulating the magnitude and mechanisms of RPEs and the intraspecific competition on soil C and N dynamics.

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“…Precise assessment of carbon balance in forest ecosystems is possible due to detailed studies of particular species and site conditions, as biomass accumulation patterns depend on tree stand age (e.g., Peichl and Arain 2007;Donnelly et al 2016;Jagodziński et al 2018a), climate (e.g., Oleksyn et al 1999;Schepaschenko et al 2018), soil fertility (e.g., Rademacher et al 2009;Lehtonen et al 2016) or successional stage (e.g., Kuznetsova et al 2011;Jagodziński et al 2017). In recent decades, researchers developed very precise tools for biomass assessment for the main forest tree species (Zianis et al 2005;Teobaldelli et al 2009;Forrester et al 2017).…”

Section: Introductionmentioning

confidence: 99%

Tree and stand level estimations of Abies alba Mill. aboveground biomass

Jagodziński

Dyderski

Gęsikiewicz

et al. 2019

Annals of Forest Science

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& Key message We provided a complete set of tree-and stand-level models for biomass and carbon content of silver fir Abies alba. This allows for better characterization of forest carbon pools in Central Europe than previously published models. The best predictor of biomass at the stand level is stand volume, and the worst are stand basal area and density. & Context Among European forest-forming tree species with high economic and ecological significance, Abies alba Mill. is the least characterized in terms of biomass production. & Aims To provide a comprehensive set of tree-and stand-level models for A. alba biomass and carbon stock. We hypothesized that (among tree stand characteristics) volume will be the best predictor of tree stand biomass. & Methods We studied a chronosequence of 12 A. alba tree stands in southern Poland (8-115 years old). We measured tree stand structures, and we destructively sampled aboveground biomass of 96 sample trees (0.0-63.9 cm diameter at breast height). We provided tree-level models, biomass conversion and expansion factors (BCEFs) and biomass models based on forest stand characteristics. & Results We developed general and site-specific tree-level biomass models. For stand-level models, we found that the best predictor of biomass was stand volume, while the worst were stand basal area and density. & Conclusion Our models performed better than other published models, allowing for more reliable biomass predictions. Models based on volume are useful in biomass predictions and may be used in large-scale inventories.

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Above- and below-ground biomass partitioning and fine root morphology in juvenile Sitka spruce clones in monoclonal and polyclonal mixtures

Cited by 19 publications

References 29 publications

Fine-Root Responses of Populus tomentosa Forests to Stand Density

Fine-Root Responses of Populus tomentosa Forests to Stand Density

Rhizosphere priming effects on soil carbon and nitrogen dynamics among tree species with and without intraspecific competition

Tree and stand level estimations of Abies alba Mill. aboveground biomass

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