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Seasonal Net Carbon Exchange in Rotation Crops in the Temperate Climate of Central Lithuania

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  • Ligita Baležentienė

    (Agriculture Academy, Vytautas Magnus University, Studentų 11, Akademija, LT-53361 Kaunas, Lithuania)

  • Ovidijus Mikša

    (Agriculture Academy, Vytautas Magnus University, Studentų 11, Akademija, LT-53361 Kaunas, Lithuania)

  • Tomas Baležentis

    (Lithuanian Institute of Agrarian Economics, LT-03105 Vilnius, Lithuania)

  • Dalia Streimikiene

    (Lithuanian Institute of Agrarian Economics, LT-03105 Vilnius, Lithuania)

Abstract

Intelligent agricultural solutions require data on the environmental impacts of agriculture. In order for operationalize decision-making for sustainable agriculture, one needs to establish the corresponding datasets and protocols. Increasing anthropogenic CO 2 emissions into the atmosphere force the choice of growing crops aimed at mitigating climate change. For this reason, investigations of seasonal carbon exchange were carried out in 2013–2016 at the Training Farm of the Vytautas Magnus University (former Aleksandras Stulginskis University), Lithuania. This paper compares the carbon exchange rate for different crops, viz ., maize, ley, winter wheat, spring rapeseed and barley under conventional farming. This study focuses on the carbon exchange rate. We measure the emitted and absorbed CO 2 fluxes by applying the closed chamber method. The biomass measurement and leaf area index (LAI) calculations at different plant growth stages are used to evaluate carbon exchange in different agroecosystems. The differences in photosynthetically assimilated CO 2 rates were significantly impacted by the leaf area index ( p = 0.04) during the plant vegetation period. The significantly ( p = 0.02–0.05) strong correlation ( r = 0.6–0.7) exists between soil respiration and LAI. Soil respiration composed only 21% of the agroecosystem carbon exchange. Plant respiration ranged between 0.034 and 3.613 µmol m −2 s −1 during the vegetation period composed of a negligible ratio (mean 16%) of carbon exchange. Generally, respiration emissions were obviously recovered by the gross primary production ( GPP ) of crops. Therefore, the ecosystems were acting as an atmospheric CO 2 sink. Barley accumulated the lowest mean GPP 12.77 µmol m −2 s −1 . The highest mean GPP was determined for ley (14.28 µmol m −2 s −1 ) and maize (15.68 µmol m −2 s −1 ) due to the biggest LAI and particular bio-characteristics. Due to the highest NEP , the ley (12.66 µmol m −2 s −1 ) and maize (12.76 µmol m −2 s −1 ) agroecosystems sank the highest C from the atmosphere and, thus, they might be considered the most sustainable items between crops. Consequently, the appropriate choice of crops and their area in crop rotations may reduce CO 2 emissions and their impact on the environment and climate change.

Suggested Citation

  • Ligita Baležentienė & Ovidijus Mikša & Tomas Baležentis & Dalia Streimikiene, 2019. "Seasonal Net Carbon Exchange in Rotation Crops in the Temperate Climate of Central Lithuania," Sustainability, MDPI, vol. 11(7), pages 1-8, April.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:7:p:1966-:d:219445
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    References listed on IDEAS

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    1. Philippe Ciais & Sébastien Gervois & N. Vuichard & S. L. Piao & N. Viovy, 2011. "Effects of land use change and management on the European cropland carbon balance," Post-Print hal-00716512, HAL.
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    Cited by:

    1. Fei Chen & Ningbo Cui & Yaowei Huang & Xiaotao Hu & Daozhi Gong & Yaosheng Wang & Min Lv & Shouzheng Jiang, 2021. "Investigating the Patterns and Controls of Ecosystem Light Use Efficiency with the Data from the Global Farmland Fluxdata Network," Sustainability, MDPI, vol. 13(22), pages 1-19, November.
    2. Chen, Jiandong & Fan, Wei & Li, Ding & Liu, Xin & Song, Malin, 2020. "Driving factors of global carbon footprint pressure: Based on vegetation carbon sequestration," Applied Energy, Elsevier, vol. 267(C).
    3. Huang, Yuan & Yu, Qiang & Wang, Ruirui, 2021. "Driving factors and decoupling effect of carbon footprint pressure in China: Based on net primary production," Technological Forecasting and Social Change, Elsevier, vol. 167(C).

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