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EN
The International Berriasian Working Group (ISCS) suggested primary and secondary marker “datums” to fix the basal Berriasian boundary and thus to detine the Jurassic-Cretaceous boundary (Wimbledon et al., 2011, 2013). Two primary markers Calpionella, as well as calcareous nannoplankton, are practically unknown in the Boreal Realm. Testing and calibration of these markers, as well as of fossils of radiolarians and other signals, in the most complete sections, were declared as an important task for the near future. In the Tethys, the Jurassic-Cretaceous boundary based on radiolarians falls inside zone UAZ 13 of Baumgartner et al. (1995), whereas in the palaeo-Pacific it corresponds to the boundary between zones 4 and 5 of Pessagno et al. (2009), and in boreal Siberia it probably falls between the biohorizons of Parvicingula haeckeli and P. khabakovi. The radiolarian events at the Jurassic-Cretaceous boundary in the boreal successions of Russia can be proposed to be used as an additional biomarker to help develop new integrated boundary criteria. Thus, as the first appearance of the zonal species Calpionella alpina, which defines the Jurassic and Cretaceous boundary, coincides with the first occurrence of the calcareous dinocyst zonal species Stomiosphaerina proxima (Reháková, 2000), it is logical to propose a calcareous dinoflagellate, widely represented in the Upper Jurassic-Lower Cretaceous Bazhenovo Formation of Siberia, as a secondary marker.
EN
The Eddy Covariance technique has been applied for corn field NEE estimation. The Smith, Michaelis-Menten and Misterlich formulas has been used for calculation of net ecosystem exchange (NEE) values between corn canopy and the atmosphere. These approaches have been applied for estimation of temeparture and radiation modification impact on the corn field productivity. The NEE has been evaluated in the first part of this paper and then the relation of NEE runs and elements that influence the NEE values has been summarized. In another part the analysis of NEE under thermal and radiative conditions has been presented. The Michaelis-Menten model has been found as the most distinct one for the measurements of the relationship. This model indicated that the highest NEE value (NEE = 10.0 µmol m-2 s-1) has been found under combination of the low radiation and high temperature conditions. The lowest value of NEE has been estimated under the highest PPFD and lowest Ta amount. The applied models have confirmed relationship between NEE, PPFD and Ta. All three models confirmed the fact that the lowest ecosystem productivity is found under high radiation input. The accumulated NEE values were compared with the real values according to the Smith, Michaelis-Menten and Misterlich equations. The results of the Michaelis-Menten equation and Misterlich were the most similar to the real cumulative NEE values. The theoretical change of thermal (0.5°C increase) and radiation (4% decrease) resulted in tested higher CO2 sequesteration from the atmosphere.
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