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Quantitative evaluations of the residue cover effects on preventing soil loss and on the cumulative infiltration amount are thus desirable.
The objectives of this study were (1) to compare C, N and P storage in aboveground, belowground and detrital biomass for three types of riparian vegetation cover (9-year-old hybrid poplar buffers, herbaceous buffers and natural woodlots) across four agricultural sites and (2) to determine potential vegetation cover effects on soil nutrient supply rate in the riparian zone.
Long-term effects also cover effects that may occur through the persistence of GM progeny, e.g. as volunteers and ferals [3].
These guidelines do not cover effects on humans or the environment from nonthermal effects [i.e., effects from electromagnetic fields (EMF) or chronic exposure that do not increase body temperature].
In a review of impervious land cover effects on streams, Schueler and Holland (1994) propose a three-level classification system for stream condition based on percent urban/impervious area; sensitive streams (0 10 % impervious), impacted streams (11 25 % impervious), and impaired streams (26 100 % impervious).
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A rational approach is used in the modeling: the degradation of bond is caused by material degradation which can be modeled as degradation of concrete strength, and the degradation of confinement is taken into account in the concrete cover effect.
Both discrete and distributed models are valid for small transverse reinforcement separations, while distributed models that only consider the concrete cover effect are valid for large transverse reinforcement separations.
Models that lack the cover effect over-predict incision rate for high sediment supply rates, and fail to represent the degree of freedom in slope adjustment provided by partial bed coverage.
Snow cover in Khokana and Sankhu is very rare, and no snow cover effect was expected to the coherence image.
The parameter Δ Tf represents the increase in temperature due to the cover effect of the vegetation surrounding the gap and Eq. (2) was used to calculate the intrinsic plant survival (SE).
Moreover, the differences among safe-sites, according to C and N gradients, support the occurrence of a plant cover effect on the rhizosphere bacterial community within those safe-sites.
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