Unusual late-fall wildfire in a pre-Alpine Fagus sylvatica forest reduced fine roots in the shallower soil layer and shifted very fine-root growth to deeper soil depth

Montagnoli, Antonio; Terzaghi, Mattia; Miali, Alessio; Chiatante, Donato; Dumroese, R. Kasten

doi:10.1038/s41598-023-33580-7

Cited by 5 publications

(3 citation statements)

References 67 publications

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“…Understanding rooting patterns has important implications for wildland [ 1 , 2 ] and urban [ 3 ] forest management, ecosystem restoration [ 4 ], and climate change mitigation [ 5 ]. In particular, the morphological traits (i.e., volume, length, diameter, and number) of tree coarse roots (≥ 1 cm diameter) can inform researchers about plant development processes in response to biotic and abiotic factors, such as biomass and carbon allocation.…”

Section: Introductionmentioning

confidence: 99%

Terrestrial laser scanning and low magnetic field digitization yield similar architectural coarse root traits for 32-year-old Pinus ponderosa trees

Montagnoli,

Hudak,

Raumonen

et al. 2024

Plant Methods

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Background Understanding how trees develop their root systems is crucial for the comprehension of how wildland and urban forest ecosystems plastically respond to disturbances such as harvest, fire, and climate change. The interplay between the endogenously determined root traits and the response to environmental stimuli results in tree adaptations to biotic and abiotic factors, influencing stability, carbon allocation, and nutrient uptake. Combining the three-dimensional structure of the root system, with root morphological trait information promotes a robust understanding of root function and adaptation plasticity. Low Magnetic Field Digitization coupled with AMAPmod (botAnique et Modelisation de l’Architecture des Plantes) software has been the best-performing method for describing root system architecture and providing reliable measurements of coarse root traits, but the pace and scale of data collection remain difficult. Instrumentation and applications related to Terrestrial Laser Scanning (TLS) have advanced appreciably, and when coupled with Quantitative Structure Models (QSM), have shown some potential toward robust measurements of tree root systems. Here we compare, we believe for the first time, these two methodologies by analyzing the root system of 32-year-old Pinus ponderosa trees. Results In general, at the total root system level and by root-order class, both methods yielded comparable values for the root traits volume, length, and number. QSM for each root trait was highly sensitive to the root size (i.e., input parameter PatchDiam) and models were optimized when discrete PatchDiam ranges were specified for each trait. When examining roots in the four cardinal direction sectors, we observed differences between methodologies for length and number depending on root order but not volume. Conclusions We believe that TLS and QSM could facilitate rapid data collection, perhaps in situ, while providing quantitative accuracy, especially at the total root system level. If more detailed measures of root system architecture are desired, a TLS method would benefit from additional scans at differing perspectives, avoiding gravitational displacement to the extent possible, while subsampling roots by hand to calibrate and validate QSM models. Despite some unresolved logistical challenges, our results suggest that future use of TLS may hold promise for quantifying tree root system architecture in a rapid, replicable manner.

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Section: Introductionmentioning

confidence: 99%

Terrestrial laser scanning and low magnetic field digitization yield similar architectural coarse root traits for 32-year-old Pinus ponderosa trees

Montagnoli,

Hudak,

Raumonen

et al. 2024

Plant Methods

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“…Roots play a vital role in trees' ability to acquire nutrients and water from the soil [1,2], making them crucial for tree productivity. The biomass of roots constitutes a considerable portion, ranging from 10% to 65%, of the overall biomass of trees [3][4][5]. This substantial root biomass greatly influences the carbon dynamics and storage capacity of forest ecosystems [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

“…This substantial root biomass greatly influences the carbon dynamics and storage capacity of forest ecosystems [6][7][8]. At the same time, roots are affected by a combination of factors, including the soil environment in which the plant is located and the tree species itself [5,8]. Despite their importance, many aspects of roots remain relatively unknown.…”

Section: Introductionmentioning

confidence: 99%

Soil Depth Can Modify the Contribution of Root System Architecture to the Root Decomposition Rate

Tang

Liu

Lian

et al. 2023

Forests

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Aims: Changes in root system architecture (RSA) and soil depth affect the root decomposition rate. However, due to soil opacity, many variables of RSA have not been well studied or even measured. Methods: To investigate the effects of soil depth and the characteristics of RSA on the root decomposition rate, soil samples (Soil cores were collected in October 2020 from Cunninghamia lanceolata and Pinus taeda plantations, which were 40 years old) were obtained using a soil auger and had a diameter of 10 cm and a length of 60 cm. Samples were taken from six different soil depths, ranging from 0 to 60 cm with a 10 cm interval between each depth. The RSA in the in-situ soil cores was analyzed using computed tomography scans and Avizo. Results: Root volume and the number of root throats were significantly higher at the 0–10 cm soil depth than at the 10–60 cm soil depth, but root length was significantly lower at the 50–60 cm soil depth (p < 0.05). Structural equation modeling showed that different stand types influenced root biomass and thus the root decomposition rate directly or indirectly through the characteristics of the stand types. RSA, i.e., root thickness and breadth, affected root biomass indirectly and then affected the root decomposition rate. Root biomass contributed the most to the root decomposition rate in the Cunninghamia lanceolata (20.19%) and Pinus taeda (32.26%) plantations. The contribution of the RSA variables to the root decomposition rate exceeded 50% at the 20–30 cm and 40–50 cm soil depths. Conclusions: Our findings suggested that the influence of the RSA variables on the root decomposition rate varies with soil depth. This deserves more consideration in our future studies on root decomposition and RSA.

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Spatial heterogeneity of soil respiration after prescribed burning in Pinus koraiensis forest in China

Wang,

Ding,

Köster

et al. 2024

Journal of Environmental Management

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Unusual late-fall wildfire in a pre-Alpine Fagus sylvatica forest reduced fine roots in the shallower soil layer and shifted very fine-root growth to deeper soil depth

Cited by 5 publications

References 67 publications

Terrestrial laser scanning and low magnetic field digitization yield similar architectural coarse root traits for 32-year-old Pinus ponderosa trees

Terrestrial laser scanning and low magnetic field digitization yield similar architectural coarse root traits for 32-year-old Pinus ponderosa trees

Soil Depth Can Modify the Contribution of Root System Architecture to the Root Decomposition Rate

Spatial heterogeneity of soil respiration after prescribed burning in Pinus koraiensis forest in China

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