Net primary productivity and allocation to fine-root production in field-grown sweet cherry trees under different soil nitrogen regimes

2017 ◽  
Vol 219 ◽  
pp. 207-215 ◽  
Author(s):  
P. Artacho ◽  
C. Bonomelli
Keyword(s):  
Soil Nitrogen ◽  
Primary Productivity ◽  
Sweet Cherry ◽  
Net Primary Productivity ◽  
Fine Root ◽  
Root Production ◽  
Fine Root Production ◽  
Cherry Trees

Biomass and root production of two plant life forms in a semiarid Mexican scrub: responses to soil nitrogen availability

2005 ◽  
Vol 83 (10) ◽  
pp. 1317-1321 ◽  
Author(s):  
Numa P. Pavón
Keyword(s):  
Soil Nitrogen ◽  
Root Biomass ◽  
Fine Root ◽  
Life Forms ◽  
Arid Ecosystems ◽  
Root Production ◽  
Limiting Factor ◽  
Fine Root Production ◽  
Plant Life Forms ◽  
Plant Life

The contribution of cacti and shrubs to root biomass and fine-root production was described in a semiarid Mexican scrub. Both life forms were evaluated for fine-root production variation in relation to changes of nitrogen in the soil, with a fertilization experiment. Cacti represented 78% of the total mean root biomass (660 ± 70 g·m–2 (mean ± SE)) in the complete soil profile (50 cm in depth). In both life forms, root biomass was higher near the surface of the soil. Roots <3 mm in diameter represented 92.5% for cactus root biomass and 69.4% for shrubs. Monthly root biomass varied significantly between months, and significant differences were obtained between plant life forms. Fine and very fine root production was estimated as 3.76 Mg·ha–1·year–1, and cactus contribution to total root production was 81.2%. Significant differences were obtained between life forms. It was clear that a low concentration in the soil nitrogen diminishes fine-root production, supporting the hypothesis that in arid ecosystems nitrogen is a limiting factor for primary production.

Heterorhizy can lead to underestimation of fine-root production when using mesh-based techniques

2014 ◽  
Vol 59 ◽  
pp. 84-90 ◽  
Author(s):  
A. Montagnoli ◽  
M. Terzaghi ◽  
G.S. Scippa ◽  
D. Chiatante
Keyword(s):  
Fine Root ◽  
Root Production ◽  
Fine Root Production

Fine root production and litter input: Its effects on soil carbon

2005 ◽  
Vol 272 (1-2) ◽  
pp. 1-10 ◽  
Author(s):  
L. B. Guo ◽  
M. J. Halliday ◽  
S. J. M. Siakimotu ◽  
R. M. Gifford
Keyword(s):  
Soil Carbon ◽  
Fine Root ◽  
Root Production ◽  
Fine Root Production ◽  
Litter Input

Fine root mass and fine root production in tropical moist forests as dependent on soil, climate, and elevation

2011 ◽  
pp. 428-444 ◽  
Author(s):  
D. Hertel ◽  
Ch. Leuschner ◽  
L. A. Bruijnzeel ◽  
F. N. Scatena ◽  
L. S. Hamilton
Keyword(s):  
Fine Root ◽  
Root Production ◽  
Fine Root Production ◽  
Root Mass ◽  
Soil Climate

scholarly journals Biomass Allocation to Resource Acquisition Compartments Is Affected by Tree Density Manipulation in European Beech after Three Decades

Forests ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 940
Author(s):  
Bohdan Konôpka ◽  
Milan Barna ◽  
Michal Bosela ◽  
Martin Lukac
Keyword(s):  
Fine Root ◽  
Standing Stock ◽  
European Beech ◽  
Forest Harvesting ◽  
Tree Density ◽  
Resource Acquisition ◽  
Root Turnover ◽  
Root Production ◽  
Fine Root Production ◽  
Mature Forest

This study reports on an investigation of fine root and foliage productivity in forest stands dominated by European beech (Fagus sylvatica L.) and exposed to contrasting intensities of mature forest harvesting. The main aim of this study was to consider the long-term effects of canopy manipulation on resource acquisition biomass compartments in beech. We made use of an experiment established in 1989, when five different light availability treatments were started in plots within a uniform forest stand, ranging from no reduction in tree density to full mature forest removal. We measured fine root standing stock in the 0–30 cm soil layer by coring in 2013 and then followed annual fine root production (in-growth cores) and foliage production (litter baskets) in 2013–2015. We found that the plot where the tree density was reduced by 30% had the lowest foliage and the highest fine root production. In 2013, this plot had the highest fine root turnover rate (0.8 year−1), while this indicator of fine root dynamics was much lower in the other four treatments (around 0.3 year−1). We also found that the annual fine root production represented around two thirds of annual foliage growth on the mass basis in all treatments. While our findings support the maintenance of source and sink balance in woody plants, we also found a long-lasting effect of tree density manipulation on investment into resource acquisition compartments in beech forests.

Analysis of some sources of error in methods used to determine fine root production in forest ecosystems: a simulation approach

1987 ◽  
Vol 17 (8) ◽  
pp. 909-912 ◽  
Author(s):  
W. A. Kurz ◽  
J. P. Kimmins
Keyword(s):  
Root Biomass ◽  
Fine Root ◽  
Sampling Error ◽  
Simulated Data ◽  
Sampling Interval ◽  
Fine Root Biomass ◽  
Root Production ◽  
Seasonal Patterns ◽  
Fine Root Production ◽  
True Value

Fine root production rates are most commonly calculated from periodic measurements of live and dead fine root biomass. The accuracy of production estimates based on this method is very sensitive to violations of the inherent assumptions, particularly the assumption that the processes of fine root production and mortality are temporally separate. A simple model was used to simulate data for a variety of seasonal patterns of live and dead fine root biomass. Fine root production and mortality rates were calculated from these simulated data using two different computational methods. Comparison of the calculated rates with the known rates (the rates used to generate the seasonal patterns) revealed that violations of the above assumptions can result in inaccurate rate estimates. When fine root production and mortality occur simultaneously within a sampling interval, the calculated production rate will greatly underestimate the true value. Additional error in the rate estimates may result from sampling error associated with the fine root biomass data. The model suggested that sampling error can cause either overestimation or underestimation of fine root production.

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