Quantifying Carbon Emissions of Forest Health Base: The Case of a National Forest Park

Hui Liu, Peng Mao () and Yongtao Tan
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Hui Liu: Nanjing Forestry University
Peng Mao: Nanjing Forestry University
Yongtao Tan: RMIT University

Chapter Chapter 40 in Proceedings of the 28th International Symposium on Advancement of Construction Management and Real Estate, 2024, pp 575-591 from Springer

Abstract: Abstract Forest recreation is now a popular mode for promoting physical and mental health and enhancing well-being. However, as the number of tourists increases, its environmental impact gradually becomes apparent. Quantifying carbon emissions of forest health base is considered to be the first issue that needs to be solved towards green and low carbon tourism. Therefore, this research aims to develop a method for calculating carbon emissions of forest health bases. Firstly, based on the existing studies, the calculation boundary and calculation framework of carbon emissions of forest health base were determined. Secondly, based on the whole life cycle perspective, specific formulas for calculating carbon emissions of forest health bases were constructed from construction, service, and management and maintenance respectively. Then, the established calculation method was validated by case study. Finally, combined the carbon emissions calculation results of the case base, key nodes were dissected and corresponding carbon reduction strategies were proposed from the government, tourism enterprises and tourists respectively, including: (1) strengthen carbon source analysis and develop targeted countermeasures; (2) increase publicity efforts to cultivate visitors’ low-carbon awareness; and (3) strengthening the protection and construction of base carbon sinks. Findings of this research provide a means to quantify carbon emissions from forest health bases and help promote the green, low-carbon and sustainable development of forest health bases.

Keywords: Forest health base; Carbon emission; Calculation method; Carbon reduction strategy (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/978-981-97-1949-5_40

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