This study investigates the preferences of small forest landowners regarding forest carbon credit programs while documenting characteristics of potentially successful frameworks. We designed hypothetical carbon credit programs with aggregated carbon offset projects and requirements of existing voluntary and compliance protocols in mind. We administered a mail survey to 992 forest landowners in Vermont's Current Use Program utilizing best-worst choice, a novel preference elicitation technique, to elicit their preferences about these programs. We found that small forest landowners see revenue as the most important factor in a carbon credit program and the duration of the program as the least important factor. Landowners reported that shorter program duration, higher revenue, and lower withdrawal penalties positively impact their willingness to accept forest carbon credit programs. Notably, our study includes carbon credit program implementer as a key program attribute, allowing us to quantify landowners' tradeoffs between non-profit, for-profit, and government organizations. Overall, we found that landowners significantly prefer working with a non-profit organization. Based on monetary estimates of willingness-to-accept compensation, our results suggest that aggregated forest carbon offset projects incorporating small forest landowners could be piloted successfully in Vermont by non-profit organizations while maintaining relatively strict guidelines of existing carbon offset protocols.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6091951 | PMC |
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0201967 | PLOS |
J Environ Manage
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School of Economics and Management, Dalian University of Technology, No.2 Ling Gong Road, Dalian 116024, China.
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Department of Civil Engineering, University of Birmingham, Birmingham B15 2TT, United Kingdom. Electronic address:
Recycling waste glass (WG) can be time-consuming, costly, and impractical. However, its incorporation into concrete significantly reduces environmental impact and carbon emissions. This paper introduces machine learning (ML) to civil engineering to optimise WG utilisation in concrete, supporting sustainability objectives.
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December 2024
School of Chemistry and Life Resources, Renmin University of China, No. 59 Zhongguancun Street, Beijing 100872, China.
The high chlorine content in municipal solid waste incineration (MSWI) fly ash is a key factor restricting its treatment and disposal. In this study, a new treatment method was proposed to enhance the deep dechlorination of fly ash by coupling supercritical CO (SC) treatment with water washing. Simultaneously the alkaline compounds in fly ash can fix CO and achieve CO credits.
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December 2024
Simon F. S. Li Marine Science Laboratory, School of Life Sciences and State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
Background: Tibetan Plateau is credited as the "Third Pole" after the Arctic and the Antarctic, and lakes there represent a pristine habitat ideal for studying microbial processes under climate change.
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Heliyon
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LERMA Laboratory, College of Engineering, International University of Rabat, Sala Al Jadida, 11100, Morocco.
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