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Measuring Multi-Scale Urban Forest Carbon Flux Dynamics Using an Integrated Eddy Covariance Technique

Author

Listed:
  • Kaidi Zhang

    (School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China
    Research Center of Urban Ecology and Environment, Shanghai Normal University, Shanghai 200234, China
    These authors contributed equally to this work.)

  • Yuan Gong

    (College of Biology and the Environment, Nanjing Forestry University, Nanjing 210037, China
    These authors contributed equally to this work.)

  • Francisco J. Escobedo

    (Functional and Ecosystem Ecology Unit (EFE), Biology Program, Faculty of Natural Sciences and Mathematics, Universidad del Rosario, Bogotá D.C. 111221492, Colombia)

  • Rosvel Bracho

    (School of Forest Resources and Conservation, University of Florida, Gainesville, FL 32611, USA)

  • Xinzhong Zhang

    (School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China
    Research Center of Urban Ecology and Environment, Shanghai Normal University, Shanghai 200234, China)

  • Min Zhao

    (Research Center of Urban Ecology and Environment, Shanghai Normal University, Shanghai 200234, China)

Abstract

The multi-scale carbon-carbon dioxide (C-CO 2 ) dynamics of subtropical urban forests and other green and grey infrastructure types were explored in an urbanized campus near Shanghai, China. We integrated eddy covariance (EC) C-CO 2 flux measurements and the Agroscope Reckenholz-Tänikon footprint tool to analyze C-CO 2 dynamics at the landscape-scale as well as in local-scale urban forest patches during one year. The approach measured the C-CO 2 flux from different contributing areas depending on wind directions and atmospheric stability. Although the study landscape was a net carbon source (2.98 Mg C ha −1 yr −1 ), we found the mean CO 2 flux in urban forest patches was −1.32 μmol m −2 s −1 , indicating that these patches function as a carbon sink with an annual carbon balance of −5.00 Mg C ha −1 . These results indicate that urban forest patches and vegetation (i.e., green infrastructure) composition can be designed to maximize the sequestration of CO 2 . This novel integrated modeling approach can be used to facilitate the study of the multi-scale effects of urban forests and green infrastructure on CO 2 and to establish low-carbon emitting planning and planting designs in the subtropics.

Suggested Citation

  • Kaidi Zhang & Yuan Gong & Francisco J. Escobedo & Rosvel Bracho & Xinzhong Zhang & Min Zhao, 2019. "Measuring Multi-Scale Urban Forest Carbon Flux Dynamics Using an Integrated Eddy Covariance Technique," Sustainability, MDPI, vol. 11(16), pages 1-10, August.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:16:p:4335-:d:256660
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    References listed on IDEAS

    as
    1. Xin Yao & Min Zhao & Francisco J. Escobedo, 2017. "What Causal Drivers Influence Carbon Storage in Shanghai, China’s Urban and Peri-Urban Forests?," Sustainability, MDPI, vol. 9(4), pages 1-17, April.
    2. Brittain M. Briber & Lucy R. Hutyra & Allison L. Dunn & Steve M. Raciti & J. William Munger, 2013. "Variations in Atmospheric CO 2 Mixing Ratios across a Boston, MA Urban to Rural Gradient," Land, MDPI, vol. 2(3), pages 1-24, July.
    3. Sabine Barles, 2009. "Urban Metabolism of Paris and Its Region," Journal of Industrial Ecology, Yale University, vol. 13(6), pages 898-913, December.
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    Cited by:

    1. Francesco Pomponi & Bernardino D’Amico, 2020. "Low Energy Architecture and Low Carbon Cities: Exploring Links, Scales, and Environmental Impacts," Sustainability, MDPI, vol. 12(21), pages 1-6, November.

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