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Model Based Regional Estimates of Soil Organic Carbon Sequestration and Greenhouse Gas Mitigation Potentials from Rice Croplands in Bangladesh

Author

Listed:
  • Khadiza Begum

    (Institute of Biological & Environmental Science, University of Aberdeen, 23 St Machar Drive, Aberdeen AB24 3UU, UK)

  • Matthias Kuhnert

    (Institute of Biological & Environmental Science, University of Aberdeen, 23 St Machar Drive, Aberdeen AB24 3UU, UK)

  • Jagadeesh Yeluripati

    (The James Hutton Institute, Craigiebuckler, Aberdeen AB15 8QH, UK)

  • Stephen Ogle

    (Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO 80523, USA)

  • William Parton

    (Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO 80523, USA)

  • Md Abdul Kader

    (Department of Soil Science, Bangladesh Agricultural University, Mymensingh 2202, Bangladesh
    School of Agriculture and Food Technology, University of South Pacific, Suva, Fiji)

  • Pete Smith

    (Institute of Biological & Environmental Science, University of Aberdeen, 23 St Machar Drive, Aberdeen AB24 3UU, UK)

Abstract

Rice ( Oryza sativa L.) is cultivated as a major crop in most Asian countries and its production is expected to increase to meet the demands of a growing population. This is expected to increase greenhouse gas (GHG) emissions from paddy rice ecosystems, unless mitigation measures are in place. It is therefore important to assess GHG mitigation potential whilst maintaining yield. Using the process-based ecosystem model DayCent, a spatial analysis was carried out in a rice harvested area in Bangladesh for the period 1996 to 2015, considering the impacts on soil organic carbon (SOC) sequestration, GHG emissions and yield under various mitigation options. An integrated management (IM, a best management practice) considering reduced water, tillage with residue management, reduced mineral nitrogen fertilizer and manure, led to a net offset by, on average, −2.43 t carbon dioxide equivalent (CO 2 -eq.) ha −1 year −1 (GHG removal) and a reduction in yield-scaled emissions intensity by −0.55 to −0.65 t CO 2 -eq. t −1 yield. Under integrated management, it is possible to increase SOC stocks on average by 1.7% per year in rice paddies in Bangladesh, which is nearly 4 times the rate of change targeted by the “4 per mille” initiative arising from the Paris Climate Agreement.

Suggested Citation

  • Khadiza Begum & Matthias Kuhnert & Jagadeesh Yeluripati & Stephen Ogle & William Parton & Md Abdul Kader & Pete Smith, 2018. "Model Based Regional Estimates of Soil Organic Carbon Sequestration and Greenhouse Gas Mitigation Potentials from Rice Croplands in Bangladesh," Land, MDPI, vol. 7(3), pages 1-18, July.
    • Handle: RePEc:gam:jlands:v:7:y:2018:i:3:p:82-:d:156468
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    References listed on IDEAS

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    Cited by:

    1. Haoyue Wu & Jin Tang & Hanjiao Huang & Wenkuan Chen & Yue Meng, 2021. "Net Carbon Sequestration Performance of Cropland Use in China’s Principal Grain-Producing Area: An Evaluation and Spatiotemporal Divergence," Land, MDPI, vol. 10(7), pages 1-19, July.
    2. Kerstin Jantke & Martina J. Hartmann & Livia Rasche & Benjamin Blanz & Uwe A. Schneider, 2020. "Agricultural Greenhouse Gas Emissions: Knowledge and Positions of German Farmers," Land, MDPI, vol. 9(5), pages 1-13, April.
    3. Guoming Du & Wenqi Liu & Tao Pan & Haoxuan Yang & Qi Wang, 2019. "Cooling Effect of Paddy on Land Surface Temperature in Cold China Based on MODIS Data: A Case Study in Northern Sanjiang Plain," Sustainability, MDPI, vol. 11(20), pages 1-14, October.
    4. Haoyue Wu & Wanqi Yan & Xiangjiang Zheng & Lei Zhou & Jinshan Ma & Lu Liu & Yue Meng, 2023. "Carbon-Emission Density of Crop Production in China: Spatiotemporal Characteristics, Regional Disparities, and Convergence," Agriculture, MDPI, vol. 13(5), pages 1-17, April.
    5. Changming Cheng & Jieqiong Li & Yuqing Qiu & Chunfeng Gao & Qiang Gao, 2022. "Evaluating the Spatiotemporal Characteristics of Agricultural Eco-Efficiency Alongside China’s Carbon Neutrality Targets," IJERPH, MDPI, vol. 19(23), pages 1-18, November.
    6. Chaochao Du & Xiaoyong Bai & Yangbing Li & Qiu Tan & Cuiwei Zhao & Guangjie Luo & Luhua Wu & Fei Chen & Chaojun Li & Chen Ran & Xuling Luo & Huipeng Xi & Huan Chen & Sirui Zhang & Min Liu & Suhua Gong, 2022. "Inventory of China’s Net Biome Productivity since the 21st Century," Land, MDPI, vol. 11(8), pages 1-16, August.

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