Climate change has become a threat to humanity, and achieving carbon neutrality is a worldwide objective. Forests are significant natural carbon sinks; forest ecosystems are one of the effective ways to mitigate climate change, and professional management may effectively contribute to achieving carbon neutrality goals. Using the bibliometrix R-package in R and CiteSpace for bibliometric analysis of research areas from general statistics and knowledge base perspectives, this study systematically reviewed the status, evolution, and research hotspots of forest management in the context of carbon neutrality based on 6112 papers published in this research area between 2002 and 2022. The results revealed: (1) The research on forest management in the context of carbon neutrality has rapidly developed with a high level of attention between 2002–2022. Furthermore, this field of research has become a well-established discipline. (2) Throughout the research history, there were five main research hotspots, which were the function of forest carbon sinks, scientific and rational forest management, forest ecosystem services, assessment of forest carbon sinks, and forest management models. (3) Potential future research avenues include the development of a new model of forest management in the context of carbon neutrality.

From the perspective of landscape and human health, we use the Self-Rating Restoration Scale (SRRS) as a tool to explore the mental health restoration benefits brought by a landscape environment to individuals and explore the characteristics of individual movement behavior when viewing the landscape through the eye movement tracking technology. We selected average blink duration, average gaze length, average saccade amplitude, blink number, number of fixation points, saccade number, and average pupil diameter as experimental indicators for data monitoring. Based on the eye movement heat map obtained by data visualization processing and the results of correlation analysis, we summarized the eye movement behavior characteristics of individuals when viewing the restorative landscape. We try to construct a quantitative evaluation model of the landscape mental recovery benefit with the objective eye movement index as the independent variable through the method of curve estimation. The study results show that individual eye movement behavior is related to the landscape type and the level of psychological recovery is also different. (1)The more singular that the constituent elements are, the more widespread and concentrated the regional distribution of individual attention areas, and the relative psychological recovery benefit is relatively weak. The more complex that the constituent elements are, the more scattered and smaller the individual interest area, and the psychological recovery benefit is better. Brightly colored, dynamic landscapes are easier to form areas of interest to improve the psychological response to the human body. (2) The psychological recovery benefit of the landscape is directly proportional to the changing trend of the average blink duration, number of fixation points, and number of saccades and is inversely proportional to the changing trend of the average gaze length. (3) The objective eye movement index of average blink duration can quantitatively predict the psychological recovery benefit value of the landscape environment. The number of fixation points, the number of saccades, and the average fixation length could predict the psychological recovery benefits of the landscape, while the other indicators had no prediction effect.