Wei et al. Carbon Balance and Management
(2023) 18:1
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recycled wood materials or the system boundary should be clarified before organizing the input data.
com/for_docs/index.html). The consumed primary wood products of the United Stated is obtained from the Food and Agriculture Organization of the United Nations (https://w w w.fao.org/faostat/en/#data/FO). The data used to fit recycling rate regression models were obtained from the United States Environmental Protection Agency (EPA) (https://www.epa.gov/facts-and-figur es-about-materials-waste-and-recycling/national-overview-facts-and-figur es-materials#recycling). Code and Software Availability The Wood Products Carbon Storage Estimator (WPsCS Estimator) was devel- oped by Python programming and the estimator can be accessed in GitHub (https://github.com/xinyuanwylb19/WPsCS-Estimator).
Conclusion The goal for developing the WPsCS Estimator is to effi- ciently and easily quantify the carbon stored in harvested wood products for a given region over a specific period, which was demonstrated with two illustrative examples. WPsCS Estimator has a user-friendly interface, and all parameters can be easily modified. Because the buck- ing allocation process is excluded in the estimator, the allocated end-use wood products data is required. This exclusion increases the work to prepare the input data, but it can make the results more reliable. We employed time-dependent methods for the recycling process, which can partially incorporate the influence of technological advancement in the wood industry on waste wood mate- rials recycling. Meanwhile, technological advancement also can extend the service life of wood products used for building and home application [50]. The current simula- tor uses a constant service life for the entire simulation; therefore, it is weak in representing this effect. Despite these noted limitations, the WPsCS Estimator has broad utility and application for policymakers and practition- ers to quantify the impact of wood product processing, consumption, and recycling on local, regional, and global carbon stocks.
Declarations
Competing interests The authors declare no competing interests.
Received: 31 October 2022 Accepted: 8 December 2022
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Abbreviation WPsCS Estimator
Wood products carbon storage estimator
Supplementary Information The online version contains supplementary material available at https://doi. org/10.1186/s13021-022-00220-y. Additional file 1: Text 1. Description of the WPsCS Estimator. Table S1. Parameters include the combustion efficiency, charcoal decay rates, disposal rates for end-use wood products, recycling rates for recyclable disposed wood materials, and decay rates for waste wood products. (These parameters are used for the United States. See the main article to obtain the details for each parameter.) Acknowledgements This work was supported by the NASA Carbon Monitoring System grant 80NSSC21K0966. In addition, this work was supported in part by a grant from the USDA Forest Service, Northeastern States Research Cooperative, under University of Vermont subcontract AWD00051. We thank Dr. Ling Li for helpful comments on this article. Author contribution XW conceptualized, designed, developed, and tested the simulator. DJH supervised this project. JZ collected the data. XW interpreted the results and wrote the original manuscript. XW, JZ, DJH, AD, and HZ edited the manuscript. All authors read and approved the final manuscript. Availability of data and materials The harvesting data of Maine, USA is obtained from Maine Forest Service and Department of Agriculture, Conservation and Forestry (https://digitalmaine.
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