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Paolella, D. et al. Effect of model spatial resolution on estimates of fine particulate matter exposure and exposure disparities in the United States.
This study exemplifies that a standardized, random and georeferenced sampling strategy, while challenging, can be applied in the deep sea, and associated benefits outlined here include improved estimates of fine grained patterns of clonality and dispersal that are comparable across sites and among species.
We also agree that despite the major recent advancements in remote sensing and CTMs, further development of these methods would continue to improve the estimates of fine particulate matter [< 2.5 μm in aerodynamic diameter (PM2.5)].
For the first time researchers have now used satellite data to provide long-term air quality estimates of fine particulate matter (PM2.5) that span the globe [ EHP 118 847 855; van Donkelaar et al.].
The World Health Organization (WHO) Global Survey on Maternal and Perinatal Health WHOGSS) database (Shah et al. 2008) offers a unique opportunity to link global estimates of fine particulate matter with pregnancy outcomes in many areas of the world where this line of investigation has yet to be undertaken.
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The latter can be used to produce not only point estimates of fine-scale reconstructions or macroscopic observables, but more importantly, predictive posterior distributions on these quantities.
The apparent disagreement between these two estimates of fine-root dynamics has been resolved by the current view that fine-root systems are not homogenous, but have a broad spectrum of lifetimes depending on function, branch order or anatomy.
Inputs of C from roots into the soil are among the most uncertain components in forest ecosystems, with estimates of fine-root lifetimes ranging from months to decades2,3,4,5.
Our results differ dramatically from previous estimates of fine-root mean ages made using mass balance approaches and root-viewing cameras, which generally report life spans (mean ages for live roots) of a few months to 1-2 years.
Most of the UK figures were collected between 2013 and 2015 and in some places estimates of fine-particle air pollution were made based on measurements of larger particles of pollution.
Third, methods for detecting signatures of natural selection usually require estimates of fine-scale recombination rates (see, e.g. Voight et al. 2006), and their success may hinge on having reliable estimates of crossover and gene conversion rates, as well as the distribution of the conversion tract length.
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