Data bases terrestrial

To review the extant data base of biogenic sulfur emissions for terrestrial and oceanic environments and to summarize direct estimates of emissions where possible. 

Hamano, Y., Ozima, M. (1978) Earth atmosphere evolution model based on Ar isotopic data. In Terrestrial Rare Gases. Jr. E. C. Alexander, M. Ozima, Eds., pp. 155-72. Tokyo Center... 

Van Campo E., Guiot J., and Peng C. (1993) A data-based reappraisal of the terrestrial carbon budget at the last glacial maximum. Global Planet. Change 8, 189-201. 

Nonradiogenic noble gases. For Ne, both of the two °Ne/ Ne ratios derived from different data bases (11.8 0.6 and 12.15 0.40 see Wieler s (2002) Table 8) require some fractionation relative to the solar value, although not quite to the same extent as that of the terrestrial atmosphere. The constraint on the Ne/ Ne ratio of <0.067 cannot be used to further limit the source of Ne. The °Ar/ Ar value of 5.45 0.10 measured by Venera spacecraft instruments is nominally somewhat above the terrestrial ratio but is essentially indistinguishable from it within error. 

In contrast to Earth, Martian Xe apparently did not evolve from a U-Xe progenitor. Modeling derivation of primordial Xe composition on Mars is based on analyses of atmospheric gases trapped in glassy phases of SNC meteorites (Swindle 2002, this volume). Present ambiguities in this data base are such that two different solar-system Xe compositions, carbonaceous chondrite (Cl)-Xe and SW-Xe, are possible candidates—but not U-Xe. Exclusion of U-Xe as the dominant primordial atmospheric inventory on Mars, despite the implication of the terrestrial modeling that it was a major component of the nebular gas phase, requires that accretion of Cl- or SW-Xe-rich materials from sources more localized in space or time has overwhelmed the isotopic signature of its presence. 

Hamano Y, Ozima M (1978) Earth-atmosphere evolntion model based on Ar isotopic data. In Terrestrial rare gases. Ozima M, Alexander Jr. EC (eds) Japan Scientific Societies Press, Tokyo, p 155-171 Hanan BB, Graham DW (1996) Lead and helinm isotope evidence from oceanic basalts for a coimnon deep sonrce of mantle plnmes. Science 272 991-995... 

Our conceptual model divided the BDW lake basin into three land cover types (based on remote sensing data) (i) terrestrial, (ii) wetland, and (iii) lake (Fig. 3). Average annual mass movements for total mercury were calculated using the collected data [86]. Wet precipitation was the only source of mercury inputs considered to the terrestrial system accounting for 184 g (mercury deposited over land. The total outputs from the terrestrial system accounted for 372 g (o- = 36.7 g), of that, 35% (132 g, tr = 0.0 g) was incorporated into vegetation and, 13% (49 g, o-=0.0g) was volatilized from the soil surface. Although we were unable to measure mercury runoff directly, 191 g would be necessary in order to balance the inputs and outputs of the wetland component. 

Cosmochemistry is a close relative of geochemistry in that both research fields share the analytical and data-based approach, which involves the acquisition and interpretation of chemical and isotopic data for relevant samples. But whereas geochemistry focuses on terrestrial samples to investigate the Earth and its internal reservoirs, research in cosmochemistry explores the evolution of the Universe, the solar system and its diverse planetary bodies. As such, cosmochemistry is also loosely related to the research fields of meteoritics and planetary science [1, 2]. 

Potter, C. S., Randerson, J. T., Field, C. B., Matson, P. A., Vitousek, P. M., Mooney, H. A. and Klooster, S. A. (1993). Terrestrial ecosystem production A process model based on global satellite and surface data. Global Biogeochem. Cycles 7, 811-841. 

Wollenberg, H.A., Naturally Occurring Radioelements and Terrestrial Gamma-ray Exposure Rates An Assessment Based on Recent Geochemical Data, Report LBL-18714, Lawrence Berkeley Laboratory, Berkeley CA (1984). 

To make adequate environmental policies concerning a reduction of the emission of POPs, the risks resulting from the deposition of POPs should be estimated. For that purpose some models to assess the risks of POPs in terrestrial ecosystems have been created (Bakker et al., 1998). The most important step of the approaches is developing models for computation of POP concentrations in soil from the data of their load on the land surface (see section 1). Based on these results, the estimating environmental risk from POPs accumulation in the soil compartment was carried out (Vasilyeva and Shatalov, 2004). 

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