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Wyświetlanie 1-2 z 2
Tytuł:
Próba oceny produktywności ekosystemu w warunkach polowych Wielkopolski
An Attempt to Evaluate the Productivity of Ecosystems Under Field Conditions of Wielkopolska
Autorzy:
Kowalska, N.
Chojnicki, B. H.
Józefczyk, D.
Urbaniak, M.
Juszczak, R.
Olejnik, J.
Powiązania:
https://bibliotekanauki.pl/articles/1819124.pdf
Data publikacji:
2013
Wydawca:
Politechnika Koszalińska. Wydawnictwo Uczelniane
Tematy:
produktywność ekosystemu
warunki polowe
qinghai-tibetan plateau
carbon dioxide
alpine meadow
CO2 exchange
environmental control
water vapor
temperature
boreal
fluxes
forest
Opis:
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.
Źródło:
Rocznik Ochrona Środowiska; 2013, Tom 15, cz. 3; 2481-2495
1506-218X
Pojawia się w:
Rocznik Ochrona Środowiska
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Zastosowanie modelu LandscapeDNDC do symulacji warunków wodnych gleby oraz plonu roślin uprawnych
Application of LandscapeDNDC Model for Simulating Soil Water Content and Crop Yield Quantity
Autorzy:
Nyćkowiak, J.
Leśny, J.
Juszczak, R.
Olejnik, J.
Blecharczyk, A.
Haas, E.
Kiese, R.
Butterbach-Bahl, K.
Powiązania:
https://bibliotekanauki.pl/articles/1819081.pdf
Data publikacji:
2013
Wydawca:
Politechnika Koszalińska. Wydawnictwo Uczelniane
Tematy:
Landscape DNDC
warunki wodne
process oriented model
nitrous oxide
atmospheric methane
agricultural soils
carbon dioxide
forest soils
fluxes
sinks
Opis:
The purpose of the work was to assess the results of simulation of soil water content (SWC) and the simulated crop yield quantity using a module LandscapeDNDC model which belongs to the family of DNDC models. The assessment was conducted on the outcome data gathered during the simulation carried out in the experimental plots of Agricultural Experimental Station in Brody (nearby Poznań, Poland) in the period of 28 March to 13 August 2012. The crops grown in the experimental fields were as follows: alfalfa, potatoes, winter wheat, rye and spring barley. Average daily content of water in the soil at the depth of 10 cm from 28 March to 13 August 2012 was 12.95 ± 0.52% (CI = 95%). This value was measured by the sensors installed in the automatic measurement site located 20–60 meters from individual experimental fields. This area in 2011/2012 was overgrown by low vegetation (monocotyledons and dicotyledons). Simulated average value of SWC for the experimental plots in the same period was 12.43 ± 0.85%. These results lead to a conclusion that the model correctly simulates water conditions of the soil. Simulations conducted in LandscapeDNDC brought the crop yield results which amounted from 64.4 to 116.1% of the specific actual crop yield. The crop yield quantity of spring barley was simulated most accurately, then the crops of alfalfa, winter wheat and potatoes. The measured quantity of winter rye crop yield (7.1 t ha-1) differs from national average quantity which was 2.4 t ha-1 in the years from 1999 to 2011. Such a big crop yield obtained in the experimental plot is rare in farming conditions, which results in the overestimation of the crop yield quantity by the model.
Źródło:
Rocznik Ochrona Środowiska; 2013, Tom 15, cz. 2; 1937-1951
1506-218X
Pojawia się w:
Rocznik Ochrona Środowiska
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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