An optimized fine root sampling methodology balancing accuracy and time investment

Berhongaray, Gonzalo; King, John S.; Janssens, Ivan A.; Ceulemans, R.

doi:10.1007/s11104-012-1438-6

Cited by 28 publications

(19 citation statements)

References 33 publications

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“…Four of these eight samples were composited such that two samples were retained per plot. Roots of <2 mm were hand-picked from each sample for 20 min (Berhongaray, King, Janssens, & Ceulemans, 2013). To assess potential changes in deep soil root biomass, data were collected from one soil core in each plot 4 years after treatment (2015).…”

Section: Root Biomassmentioning

confidence: 99%

“…Samples were collected from 0 to 10, 10 to 20, 20 to 50, 50 to 100, 100 to 150, 150 to 200, 200 to 250, and 250 to 300 cm. Each of the 0-to 10-and 10-to 20-cm samples were hand-picked for 20 min (Berhongaray et al, 2013). The rest of the samples were elutriated with a hydropneumatic elutriation system (Gillison's Variety Fabrication, Inc., Benzonia, MI) to separate roots from soil (Kosola, Workmaster, Busse, & Gilman, 2007).…”

Section: Root Biomassmentioning

confidence: 99%

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Modelling the effect of changing precipitation inputs on deep soil water utilization

Markewitz

Radcliffe

2018

Hydrological Processes

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Forests in the Southeastern United States are predicted to experience future changes in seasonal patterns of precipitation inputs as well as more variable precipitation events. These climate change‐induced alterations could increase drought and lower soil water availability. Drought could alter rooting patterns and increase the importance of deep roots that access subsurface water resources. To address plant response to drought in both deep rooting and soil water utilization as well as soil drainage, we utilize a throughfall reduction experiment in a loblolly pine plantation of the Southeastern United States to calibrate and validate a hydrological model. The model was accurately calibrated against field measured soil moisture data under ambient rainfall and validated using 30% throughfall reduction data. Using this model, we then tested these scenarios: (a) evenly reduced precipitation; (b) less precipitation in summer, more in winter; (c) same total amount of precipitation with less frequent but heavier storms; and (d) shallower rooting depth under the above 3 scenarios. When less precipitation was received, drainage decreased proportionally much faster than evapotranspiration implying plants will acquire water first to the detriment of drainage. When precipitation was reduced by more than 30%, plants relied on stored soil water to satisfy evapotranspiration suggesting 30% may be a threshold that if sustained over the long term would deplete plant available soil water. Under the third scenario, evapotranspiration and drainage decreased, whereas surface run‐off increased. Changes in root biomass measured before and 4 years after the throughfall reduction experiment were not detected among treatments. Model simulations, however, indicated gains in evapotranspiration with deeper roots under evenly reduced precipitation and seasonal precipitation redistribution scenarios but not when precipitation frequency was adjusted. Deep soil and deep rooting can provide an important buffer capacity when precipitation alone cannot satisfy the evapotranspirational demand of forests. How this buffering capacity will persist in the face of changing precipitation inputs, however, will depend less on seasonal redistribution than on the magnitude of reductions and changes in rainfall frequency.

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Section: Root Biomassmentioning

confidence: 99%

Section: Root Biomassmentioning

confidence: 99%

Modelling the effect of changing precipitation inputs on deep soil water utilization

Markewitz

Radcliffe

2018

Hydrological Processes

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“…The samples were transported to the laboratory and stored in a freezer until processed. Once in the laboratory, fine roots were processed as described previously (Berhongaray et al, 2013d). Twenty-one Fr weight of one sample core picked for x min (i.e.…”

Section: Carbon Fluxesmentioning

confidence: 99%

Soil carbon and belowground carbon balance of a short‐rotation coppice: assessments from three different approaches

et al. 2016

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Uncertainty in soil carbon (C) fluxes across different land‐use transitions is an issue that needs to be addressed for the further deployment of perennial bioenergy crops. A large‐scale short‐rotation coppice (SRC) site with poplar (Populus) and willow (Salix) was established to examine the land‐use transitions of arable and pasture to bioenergy. Soil C pools, output fluxes of soil CO 2, CH 4, dissolved organic carbon (DOC) and volatile organic compounds, as well as input fluxes from litter fall and from roots, were measured over a 4‐year period, along with environmental parameters. Three approaches were used to estimate changes in the soil C. The largest C pool in the soil was the soil organic carbon (SOC) pool and increased after four years of SRC from 10.9 to 13.9 kg C m−2. The belowground woody biomass (coarse roots) represented the second largest C pool, followed by the fine roots (Fr). The annual leaf fall represented the largest C input to the soil, followed by weeds and Fr. After the first harvest, we observed a very large C input into the soil from high Fr mortality. The weed inputs decreased as trees grew older and bigger. Soil respiration averaged 568.9 g C m−2 yr−1. Leaching of DOC increased over the three years from 7.9 to 14.5 g C m−2. The pool‐based approach indicated an increase of 3360 g C m−2 in the SOC pool over the 4‐year period, which was high when compared with the −27 g C m−2 estimated by the flux‐based approach and the −956 g C m−2 of the combined eddy‐covariance + biometric approach. High uncertainties were associated to the pool‐based approach. Our results suggest using the C flux approach for the assessment of the short‐/medium‐term SOC balance at our site, while SOC pool changes can only be used for long‐term C balance assessments.

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“…Fine roots were defined as roots with diameter <2 mm (classes L1 + L2). More details on root collection and data processing can be found in Berhongaray et al (2012).…”

Section: Fine Root Productionmentioning

confidence: 99%

The effect of a dry spring on seasonal carbon allocation and vegetation dynamics in a poplar bioenergy plantation

et al. 2013

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In this study the seasonal variation in carbon, water and energy fluxes as well as in net primary productivity (NPP) of different tree components is presented for a 2-year-old poplar (Populus spp.) plantation. A thorough ecophysiological study was performed at ecosystem scale, at tree and at leaf level, in this high-density bioenergy plantation. Seasonal variation in NPP and fluxes was analysed in relation to meteorological parameters at the field site. The growing season length in terms of carbon uptake was controlled by leaf area development until the maximum leaf area index (LAI max ) was reached. Afterwards, a shift to belowground carbon allocation was observed. A dry period in spring caused a reduced leaf area production as well as a decrease in net ecosystem exchange and gross primary production (GPP) due to stomatal closure. Water use efficiency and fine root growth increased in response to limiting soil water availability in the root zone. When soil water availability was not limiting, GPP was controlled by a decrease in solar radiation and air temperature. The results of this study indicate that the productivity of recently established bioenergy plantations with fast-growing trees is very sensitive to drought. The interaction between soil water availability and factors controlling ecosystem GPP is crucial in assessing the CO 2 mitigation potential under future climate conditions.

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An optimized fine root sampling methodology balancing accuracy and time investment

Cited by 28 publications

References 33 publications

Modelling the effect of changing precipitation inputs on deep soil water utilization

Modelling the effect of changing precipitation inputs on deep soil water utilization

Soil carbon and belowground carbon balance of a short‐rotation coppice: assessments from three different approaches

The effect of a dry spring on seasonal carbon allocation and vegetation dynamics in a poplar bioenergy plantation

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