The concept of green development as a rational grasp of the relationship between man and nature is not only an important embodiment of the line of thought of seeking truth from facts and advancing with the times but also a concrete application of Marxist materialistic dialectics combined with the current situation of China’s development. Ecological consciousness is a value orientation that reflects the harmonious development of man and nature as a worldview and methodology to explore and reflect on the ecological and environmental problems of the current society. College students are an important force in promoting China’s development in the future, and cultivating their good ecological consciousness with the concept of green development as a guide for action is of great significance at both the theoretical level and the practical level. Based on the review of online reviews, this study proposes that the content of positive reviews can be classified into praiseworthy reviews. In order to verify the objectivity of the content dimensions of the three types of positive comments, this study selected 1,800 positive comments as the research sample using stratified random sampling and conducted a content analysis of the comment samples one by one using the NET method. The content analysis results showed that praiseworthy comments appeared in almost all of the samples, constructive comments appeared in 23% of the samples, and prosocial comments appeared in only 14% of the sample. The results of the content analysis show that it is necessary to identify the dimensions of positive online comments because the single-dimensional constructs cannot effectively present the multidimensional information content contained in positive comments. By studying the geometric modeling method in soft tissue modeling technology, we propose covering the surface model on the outer surface of the physical model and using the tetrahedral mesh as the support skeleton of the physical model. Through the purification of the initial items and secondary testing, a scale with good reliability and validity for measuring the three constructs of praiseworthy, constructive, and prosocial comments was finally obtained.

China is the richest country in the world in terms of bamboo forest resources, with moso bamboo as the dominated landscape distribution. Analysis of its spatial distribution, landscape change, and its drivers is crucial for forest ecosystem management and sustainable development. However, investigations on the effects of multiple geographical and environmental factors on changes in the landscape of moso bamboo forests are still limited. In this study, Chinese moso bamboo forests in 2010, 2015 and 2020 were selected as the study objects, and 19 provinces (data for Hong Kong, Macao, and Taiwan are unavailable), where Chinese moso bamboo forests were actually distributed, were taken as the study areas. This paper aims to determine the spatial distribution and landscape level of moso bamboo forests in China, as well as to conduct a preliminary study on the natural and socioeconomic factors of landscape change within moso bamboo forests and their buffer zones through density analysis, landscape fragmentation analysis, and patch-generating land use simulation model. The analysis using ArcGIS kernel density analysis revealed significant variability in the spatial distribution of moso bamboo forests in China, expanding in both the north and southwest directions. China’s moso bamboo forests expanded fast between 2010 and 2020, with the landscape becoming more fragmented, landscape fragmentation increasing, aggregation diminishing, and overall landscape quality declining. Climate has the greatest influence on the shifting landscape distribution of moso bamboo forests, followed by locational factors and soil and terrain, and socioeconomic factors such as location, population density, and GDP also impact the shifting distribution and landscape of the moso bamboo forest.