The relationship between maximizing forest revenue and reducing environmental pollution has been a challenging one. It is every country’s responsibility to protect its forest reserves and mitigate climate change. Studies on the relationship between forest economic models and climate change are limited, and most of them focus on maximizing forestry products. This study aims at filling the gaps and makes scientific contributions by providing a detailed account of various economic models and their correlations with climate change, as well as identifying the ecological footprint of forest products, fossil fuel consumption, forest cover, foreign direct investment, economic growth, and population in terms of carbon dioxide (CO₂) emissions. In this study, we observed that most forest economic models focus on forest profit maximization and disregard climate impact. The empirical results suggest that the ecological footprint of forest products increases CO₂ emissions. In addition, forest cover helps to reduce CO₂ emissions. A case study of China’s tremendous growth and the associated CO₂ emissions levels reported a recent decrease in such levels, largely due to an increase in forest cover. Although these findings are not exhaustive, they provide new insights into forestry economic models and the impact of climate change, offering theoretical and practical implications for future reference and forest governance.

This paper aims to establish multi-dimensional expansion model of the green supply chain on forestry, which was rarely studied both here and abroad. To do so, the connotation and system structure of green supply chain on forestry is defined. Firstly, then, with the ideas of system integration, a cobweb model is established to explain its mechanism, which is composed of Length, Breadth, Correlativity and Thickness. Based on the model, an evaluation indicator system and method is designed. Finally, Jiangsu forestry in China is taken as an example to illustrate the application value of proposed model.

The Asia-Pacific Network for Sustainable Forest Management and Rehabilitation (APFNet) Fellowship Program, established in 2008, aims to develop future leaders in sustainable forest management (SFM) within the Asia-Pacific region. This study represents the first systematic evaluation of the APFNet Fellowship Program, focusing on its effectiveness in building capacity for forest conservation and management. A mixed-methods approach was employed, combining quantitative pre- and post-program surveys with qualitative interviews and case studies of fellows. Quantitative analysis of survey data from 57 fellows revealed significant improvements in knowledge and skills related to forest conservation and sustainable development. Paired-sample t-tests showed statistically significant increases in the knowledge and abilities of participants, with an average improvement of 23% across key survey domains (t = 5.24, p < 0.05). The analysis also indicated that 95% of participants perceived the program to be highly relevant to their career goals and sustainable development objectives, with 87% reporting strong satisfaction with the quality of learning opportunities. Qualitative data from semi-structured interviews and focus groups revealed that while fellows appreciated the academic rigor and practical training, challenges such as financial limitations, language barriers, and institutional support issues were prevalent. Despite these challenges, fellows expressed strong commitment to applying their training to sustainable forestry practices in their home countries. This study highlights the critical role of the APFNet program in nurturing the next generation of forestry leaders in the Asia-Pacific region. The findings provide a foundation for future evaluations, highlighting the need for continued program refinement to address the identified challenges and maximize the long-term impact on forest conservation.

By introducing environmental mediator, for avoiding randomness in selecting indicators and subjectivity in deciding interaction path coefficients to reveal interaction mechanism among forest industry, ecology and environmental capacity, structural Pressure–State–Impact–Response (PSIR) and quantitative Structural Equation Modeling (SEM) are utilized with data on thirty–one provinces of China. We can find that: (i) forest industry has a negative influence on ecology, whereas ecology has a positive influence on industry; (ii) the destructive influence that industry has on ecology is much greater than the positive effect ecology has on industry; and (iii) environmental capacity plays a partial mediating role between industry and ecology. According to these results we can conclude that: (i) forest industry and ecology are not in a symbiotic relationship and have not reached a level of ecological security; (ii) the interaction between industry and ecology is in a period of transition from antagonistic to beneficial; and (iii) industry dominates ecology. However, we prospect the following advice: (i) methods of forest industry should be changed; (ii) new modes of industrial integration and circular economy should be developed; and (iii) the ability of the environment to sustain itself should be enhanced. The level of forest ecological security to discuss the symbiotic mechanism of industry and ecology will propose to be measured in future.