Using fixed parameters obtained from wet season (November April), the optimized RGAM and WiMo models predict the interception losses from both forest stands reasonably well, with an underestimation of 8.5 12.7% for the dry season (May October), and a total underestimation of 5.2 8.2% for the entire year.
Our data display a well-known distortion between pollen taxa percentages calculated from palynological slides and current vegetation cover on land, with a particular overestimation of arboreal taxa as well as an underestimation of herbaceous ones, especially of cereal crops that represent a major component of the regional continental vegetation.
Those estimates could very well be an underestimation.
Considering that we observe 36% (1621 orfs) of the entire Salmonella proteome (4450 orfs) and that 50% (781 orfs) of this observed proteome (1621 orfs) is modulated by Hfq, it would be expected that a significant portion of the unobserved Salmonella proteome (2829 orfs) would also be regulated by Hfq, thus our assertion that the ∼20% value may very well represent an underestimation.
Quantile-quantile plots of ET and temperature from CMIP5 versus reference data sets show an overestimation of ET in the wettest months as well as an underestimation (overestimation) of temperature in cold (warm) months.
Due to our strict criteria for the definition of a contact, this proportion of 8.5% of all boutons targeting PV-ir structures might well represent an underestimation of the actual numbers.
Our study might very well present an underestimation of the incidence of viable tumor cells retrieved from the needle applicator, because the absence of tumor cells on the needle applicator does not mean that viable tumor cells had not been implanted during the procedure.
Location data constraints may also limit the taxa for which the method may be applied, as well as lead to an underestimation of taxon distributions.
Therefore, the release factor could be an underestimation as well as an overestimation of the real situation.
Therefore, the low level of differentiation measured within Peru and WCA Brazil may be an underestimation as well as an overestimation of gene flow; and, the differentiation and gene flow between the genotypes and population clusters may be underestimating the current degree of isolation.
