Chaiya Chitralada
College of Politics and Governance, Mahasarakham University, Kantharawichai District, Mahasarakham, 44150, Thailand.
Heliyon. 2025 Jan 9;11(2):e41844. doi: 10.1016/j.heliyon.2025.e41844. eCollection 2025 Jan 30.
The imperative of addressing climate change has accentuated the pivotal role of reducing greenhouse gas emissions and harnessing the potential of community forests. This study meticulously explores the governance structures and mechanisms underpinning greenhouse gas emissions trading within community forests, aimed at curbing carbon emissions, and enhancing adaptive capacities in Thailand. With a central focus on cultivating enduring climate resilience, this research delves into the interplay of community perspectives with greenhouse gas emissions trading mechanisms, while also dissecting the genesis of sustainable strategies in the Thai context. Additionally, it rigorously assesses the determinants shaping community resilience and their responses to climatic fluctuations, contextualized within the framework of greenhouse gas emissions trading mechanisms. Employing a quantitative approach, data was gathered from 383 participants through a semi-structured questionnaire and analyzed using statistical techniques including paired t-tests, ANOVA, and multiple regressions. The study underscores the profound significance of each facet of carbon emissions reduction in relation to the Sustainable Development Goals (SDGs), with personal norms emerging as a potent driver in carbon trading. By unraveling these intricacies, the findings enrich our comprehension of the pivotal role community forests play in nurturing sustainable climate resilience, offering invaluable insights for policymakers, researchers, and practitioners to shape effective strategies for carbon mitigation and adaptive action.
应对气候变化的紧迫性凸显了减少温室气体排放和发挥社区森林潜力的关键作用。本研究细致地探索了社区森林内温室气体排放交易的治理结构和机制,旨在抑制碳排放,并增强泰国的适应能力。该研究以培育持久的气候适应力为核心重点,深入探究社区观点与温室气体排放交易机制之间的相互作用,同时剖析泰国背景下可持续战略的起源。此外,它还在温室气体排放交易机制的框架内,严格评估塑造社区适应力的决定因素及其对气候波动的反应。采用定量方法,通过半结构化问卷从383名参与者收集数据,并使用配对t检验、方差分析和多元回归等统计技术进行分析。该研究强调了碳排放减少的各个方面相对于可持续发展目标(SDGs)的深远意义,个人规范成为碳交易的有力驱动因素。通过揭示这些错综复杂的关系,研究结果丰富了我们对社区森林在培育可持续气候适应力方面关键作用的理解,为政策制定者、研究人员和从业者制定有效的碳减排和适应性行动策略提供了宝贵的见解。