Fine root dynamics after soil disturbance evaluated with a root scanner method

Nakahata, Ryo; Osawa, Akira

doi:10.1007/s11104-017-3361-3

Cited by 18 publications

(18 citation statements)

References 79 publications

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“…1; Appendix S1: Fig. Recently, a similar scanner method had been successfully used to explore fine root production in a forest setting (Van Do et al 2016, Nakahata andOsawa 2017). Recently, a similar scanner method had been successfully used to explore fine root production in a forest setting (Van Do et al 2016, Nakahata andOsawa 2017).…”

Section: Evaluation Of Rhizotron Methods For Assessing Root Turnovermentioning

confidence: 99%

“…Recently, a similar scanner method had been successfully used to explore fine root production in a forest setting (Van Do et al 2016, Nakahata andOsawa 2017). For instance, soil disturbance associated with installation may artificially affect root longevity and production (Strand et al 2008, Nakahata andOsawa 2017). To date, very few studies traced roots by branch order in situ (Espeleta et al 2009, Xia et al 2010.…”

Section: Evaluation Of Rhizotron Methods For Assessing Root Turnovermentioning

confidence: 99%

“…S1). Recently, a similar scanner method had been successfully used to explore fine root production in a forest setting (Van Do et al 2016, Nakahata andOsawa 2017). Notably, the major advantage of large rhizotrons over traditional minirhizotrons is that root dynamics can be monitored and traced according to root branch order, especially for those higher order roots because of the large observing window.…”

Section: Evaluation Of Rhizotron Methods For Assessing Root Turnovermentioning

confidence: 99%

“…S1). The scanner (Epson Perfection V33, Japan) was a charge-coupled device type with 19 mm depth of focus (Nakahata and Osawa 2017). The evacuated soil and litter were immediately backfilled when finished scanning.…”

Section: Rhizotronsmentioning

confidence: 99%

“…Compared with minirhizotrons, the most obvious merit is the bigger viewing window (e.g., 200 9 300 mm) which allows us to monitor root branching through continuous long-term observations. The rhizotron method was successfully used previously in both typical steppe ecosystems (Bai et al 2008) and temperate forest ecosystems (Van Do et al 2016, Nakahata andOsawa 2017). But, root turnover measurements have rarely been empirically linked to branch orders.…”

Section: Introductionmentioning

confidence: 99%

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Improved root turnover assessment using field scanning rhizotrons with branch order analysis

Huo

Cheng

2019

Ecosphere

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Citation: Huo, C., and W. Cheng. 2019. Improved root turnover assessment using field scanning rhizotrons with branch order analysis.Abstract. Root turnover is a key process contributing to soil carbon storage, nutrient cycling, and other ecosystem functions. However, quantifying root turnover rates remains highly uncertain and methodologically challenging. Field rhizotrons were employed to quantify root turnover times using median longevities of five branching orders in a Larix gmelinii plantation. Root images were recorded by scanning the rhizotron windows at a monthly interval during four growing seasons. Root demographic data and branching orders were obtained by analyzing these images using Rootfly software coupled with manual mouse-tracing of individual roots. Root longevities and turnover estimates were calculated using these data. Roots of different branching orders showed significantly different turnover times. The mean turnover times of the first-order roots and second-order roots were 284 and 994 d, respectively. Roots of higher branching orders (third to fifth orders) remained alive at the end of the 4-yr experimental period, indicating much longer turnover times than the duration of the experiment. Root turnover times increased exponentially with branching orders. Further analysis of these data suggested that root branching orders combined with sampling biases, timing of root cohorts, and longevity distribution patterns crucially influenced root turnover times. The method of combining field glass rhizotrons with electronic scanning permits quantification of root turnover for five branching orders in a temperate forest. The overall result empirically demonstrates the crucial role of branching orders for accurately quantifying root turnover times.

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Section: Evaluation Of Rhizotron Methods For Assessing Root Turnovermentioning

confidence: 99%

Section: Evaluation Of Rhizotron Methods For Assessing Root Turnovermentioning

confidence: 99%

Section: Evaluation Of Rhizotron Methods For Assessing Root Turnovermentioning

confidence: 99%

Section: Rhizotronsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Improved root turnover assessment using field scanning rhizotrons with branch order analysis

Huo

Cheng

2019

Ecosphere

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Multifunctions of fine root phenology in vegetative and reproductive growth in mature beech forest ecosystems

et al. 2021

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Masting, a large interannual variation of reproductive investment spatially synchronized within perennial plants, is an important factor for understanding the use and storage of carbon and nutrient resources in various forest ecosystems. Fine roots play essential roles in water and nutrient uptake but also consume a large amount of net primary production (NPP) during growth. Understanding masting mechanisms requires knowledge of how masting trees succeed in abundant fructification by adjusting resource acquisition via fine roots and how mast seeding influences fine root dynamics. The aims of the present study were to estimate interannual variations in NPP, including belowground production, over several years while evaluating fine root phenology and to suggest possible relationships between fine root growth and the production of nuts, leaves, and woody biomass in mature forest ecosystems. Nut and leaf production was quantified using litter traps in two beech forests located at different altitudes of 550 and 1500 m, and woody biomass increment was estimated using allometric equations. Seasonal and massbased annual fine root production was determined using minirhizotrons and soil cores. Correlations between seasonal fine root and aboveground production were analyzed using the state-space model, which can verify masting effects on fine root production between flower bud formation and mast seeding. NPP estimates exhibited almost biennial or irregular masting behavior. Nut production was positively correlated with fine root production in autumn of the previous year in the lower site but showed negative correlations with that in the early growing season of the same year in the upper site. The former indicated enhanced fine root production to absorb nutrients prior to mast seeding, and the latter suggested the suppression of fine root production due to resource depletion during masting. Fine root production increased with increasing leaf production in the early growing season in both sites, indicating the corresponding water transport between them. Thus, fine root phenology has distinct multiple functions to ensure water and nutrient resources in supporting aboveground vegetative and reproductive growth, resulting in variable seasonal patterns of fine root production.

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Time‐varying response of fine root growth to soil temperature and soil moisture in cypress and deciduous oak forests

Nakahata

2022

Plant Enviro Interactions

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Fine root dynamics after soil disturbance evaluated with a root scanner method

Cited by 18 publications

References 79 publications

Improved root turnover assessment using field scanning rhizotrons with branch order analysis

Improved root turnover assessment using field scanning rhizotrons with branch order analysis

Multifunctions of fine root phenology in vegetative and reproductive growth in mature beech forest ecosystems

Time‐varying response of fine root growth to soil temperature and soil moisture in cypress and deciduous oak forests

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