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Climate Change Planning: Soil Carbon Regulating Ecosystem Services and Land Cover Change Analysis to Inform Disclosures for the State of Rhode Island, USA

Author

Listed:
  • Elena A. Mikhailova

    (Department of Forestry and Environmental Conservation, Clemson University, Clemson, SC 29634, USA)

  • Lili Lin

    (University Key Lab for Geomatics Technology and Optimized Resources Utilization in Fujian Province, No. 15 Shangxiadian Road, Fuzhou 350002, China)

  • Zhenbang Hao

    (University Key Lab for Geomatics Technology and Optimized Resources Utilization in Fujian Province, No. 15 Shangxiadian Road, Fuzhou 350002, China)

  • Hamdi A. Zurqani

    (University of Arkansas Agricultural Experiment Station, Arkansas Forest Resources Center, University of Arkansas at Monticello, Monticello, AR 71655, USA)

  • Christopher J. Post

    (Department of Forestry and Environmental Conservation, Clemson University, Clemson, SC 29634, USA)

  • Mark A. Schlautman

    (Department of Environmental Engineering and Earth Sciences, Clemson University, Anderson, SC 29625, USA)

  • Gregory C. Post

    (Geography Department, Portland State University, Portland, OR 97202, USA)

  • Peyton I. Mitchell

    (Department of Forestry and Environmental Conservation, Clemson University, Clemson, SC 29634, USA)

Abstract

The state of Rhode Island (RI) has established its greenhouse gas (GHG) emissions reduction goals, which require rapidly acquired and updatable science-based data to make these goals enforceable and effective. The combination of remote sensing and soil information data can estimate the past and model future GHG emissions because of conversion of “low disturbance” land covers (e.g., evergreen forest, hay/pasture) to “high disturbance” land covers (e.g., low-, medium-, and high-intensity developed land). These modeled future emissions can be used as a predevelopment potential GHG emissions information disclosure. This study demonstrates the rapid assessment of the value of regulating ecosystems services (ES) from soil organic carbon (SOC), soil inorganic carbon (SIC), and total soil carbon (TSC) stocks, based on the concept of the avoided social cost of carbon dioxide (CO 2 ) emissions for RI by soil order and county using remote sensing and information from the State Soil Geographic (STATSGO) and Soil Survey Geographic Database (SSURGO) databases. Classified land cover data for 2001 and 2016 were downloaded from the Multi-Resolution Land Characteristics Consortium (MRLC) website. Obtained results provide accurate and quantitative spatio-temporal information about likely GHG emissions and show their patterns which are often associated with existing urban developments. These remote sensing tools could be used by the state of RI to both understand the nature of land cover change and likely GHG emissions from soil and to institute mandatory or voluntary predevelopment assessments and potential GHG emissions disclosures as a part of a climate mitigation policy.

Suggested Citation

  • Elena A. Mikhailova & Lili Lin & Zhenbang Hao & Hamdi A. Zurqani & Christopher J. Post & Mark A. Schlautman & Gregory C. Post & Peyton I. Mitchell, 2021. "Climate Change Planning: Soil Carbon Regulating Ecosystem Services and Land Cover Change Analysis to Inform Disclosures for the State of Rhode Island, USA," Laws, MDPI, vol. 10(4), pages 1-16, December.
    • Handle: RePEc:gam:jlawss:v:10:y:2021:i:4:p:92-:d:693234
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    References listed on IDEAS

    as
    1. Liu, Tingting & Merrill, Nathaniel H. & Gold, Arthur J. & Kellogg, Dorothy Q. & Uchida, Emi, 2013. "Modeling the Production of Multiple Ecosystem Services from Agricultural and Forest Landscapes in Rhode Island," Agricultural and Resource Economics Review, Cambridge University Press, vol. 42(1), pages 251-274, April.
    2. Mark A. Cohen & W. Kip Viscusi, 2012. "The Role Of Information Disclosure In Climate Mitigation Policy," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 3(04), pages 1-21.
    3. United Nations, 2016. "The Sustainable Development Goals 2016," Working Papers id:11456, eSocialSciences.
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