Sentence examples for logging unit from inspiring English sources
The second logging unit (with high logging intensity) has high emissions from damage decay in the first 8 years after logging, that exceed carbon accumulation from forest recovery: the carbon balance of the logging unit increases.
Site-specific data are necessary in logging unit planning along headwater streams, if the management goal is the maintenance of communities observed in undisturbed forest.
After assessing carbon fluxes for each logged logging unit, results were aggregated over space to assess the carbon fluxes over the whole Permanent Forest Estate, and over time to assess the carbon balance between 1974 and 2012 (Figs. 8, 9).
Logging roads According to NFS expertise (personal communication): begin{aligned} delta _{p} sim U 0.12 0.25) end{aligned} (8 where (delta _{p}) is the entire width of clearing for logging roads in logging unit p (expressed in hectometers hm).
Logging unit III identified in Hole C0002F correlates with Hole C0002A unit III defined during Expedition 314 (Expedition 314 Scientists, [2009]), and also unit III in Hole C0002B, which was interpreted as basal Kumano Basin forearc sediment (Expedition 315 Scientists, [2009]).
The above-ground carbon recovered (Recov_{p,t}) (MgC·ha(^{-1})) at time t in the logged area of the logging unit p is then : begin{aligned} Recov_{p,t} = min left( Ext_p+Dam_p text (t-t0_p) times frac{Ext_p+Dam_p}{RT_p}right) end{aligned} (25)When (t-t0_p le RT_p) (i.e. before recovery time), the logged area stores carbon with a rate (dfrac{Ext_p+Dam_p}{RT_p}).
Chlorhexidine killed 8 log unit CFUs in a 24-h biofilm, whereas in a more mature biofilm (2 week), 6 log unit CFU reduction was observed (Fig. 1).
The efficacy against the other microorganisms is particularly high, with a RF > 7 log units for bacteria and > 4 log unit for fungi.
Chlorhexidine killed 8 log unit CFUs (>99.99 % killing) in a 24-h biofilm and 5 log unit CFUs (>99.99 % killing) in 2-week biofilms.
In Test II, the size was reduced from 41.27° in 0.1 log unit steps to 0.95°.
Validation results demonstrate good predictive power of the model (RMSE = 0.35 0.45 log units for log Ka and log Peff).
