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Exploring causal relationship between landforms and ground level CO2 in Dalseong forestry carbon project site of South Korea

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Abstract

The co-relationship between landforms and CO2 concentration in forestry carbon project sites remains largely unexplored. This paper examined the casual-relationship between landforms and ground level, `ambient’ carbon dioxide (total 34 points acquired on August 2016). This study employed geographically weighted regression to examine the spatially varying relationships between carbon dioxide, Normalized Difference Vegetation Index (NDVI) patterns and changing trends of landform (elevation, slope) and solar intensity (insolation and duration of sunshine) in Dalseong forestry carbon project site of South Korea. The result reveals that landforms were closely associated with ground CO2 data (R2 = 0.952–0.982) and NDVI. Results from these experiments suggest that the ambient CO2 concentration varies significantly in according to landform and solar intensity forming local vegetation habitat at in situ survey point. It is anticipated that this research outcome could be used as a valuable reference for quality assurance of portable carbon monitoring in relation to landforms in forestry carbon project sites.

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Notes

  1. http://carbon.kgpa.or.kr/flow/.

  2. TCCON is affiliated with the Network for the Detection of Atmospheric Composition Change Infrared Working Group (NDACC-IRWG) and the Global Atmosphere Watch (GAW) programme. The Global Atmosphere Watch (GAW) programme of WMO is a partnership involving the Members of WMO, contributing networks and collaborating organizations and bodies which provides reliable scientific data and information on the chemical composition of the atmosphere, its natural and anthropogenic change, and helps to improve the understanding of interactions between the atmosphere, the oceans and the biosphere. TCCON is a network of ground-based Fourier Transform Spectrometers recording direct solar spectra in the near-infrared spectral region. From these spectra, accurate and precise column-averaged abundance of CO2, CH4, N2O, HF, CO, H2O, and HDO are retrieved. TCCON provides an essential validation resource for the Orbiting Carbon Observatory (OCO), Sciamachy, and GOSAT.

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Acknowledgements

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF2015R1D1A1A01056801).

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Authors and Affiliations

  1. Department of Climate Change, Kyungpook National University, Daegu, South Korea

    YoungSeok Hwang

  2. Department of Geography, Kyungpook National University, Daegu, South Korea

    Jung-Sup Um

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  1. YoungSeok Hwang
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Correspondence to Jung-Sup Um.

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Hwang, Y., Um, JS. Exploring causal relationship between landforms and ground level CO2 in Dalseong forestry carbon project site of South Korea. Spat. Inf. Res. 25, 361–370 (2017). https://doi.org/10.1007/s41324-017-0103-9

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  • DOI: https://doi.org/10.1007/s41324-017-0103-9

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