Forests are associated with countrywide ecological security, and there are significant differences in the forests of different regions. Based on the DPSIR model, 25 indicators were selected from five dimensions to determine the index system, and the entropy-weighted TOPSIS method and gray correlation were applied to determine the index of western China’s forests. The spatial distribution map was used to observe the spatial changes of forests. The results show that first, Inner Mongolia (0.466) has the best forest ecological security status and Ningxia (0.124) has the worst forest resource status. Second, the first and most frequent correlation is the area of planted forests (I1). The last and most frequent correlation is sulfur dioxide emission (P2). Thirdly, Inner Mongolia and Szechwan belong to the high ecological safety–high economic level, Yunnan, Guangxi, and Tibet belong to the high ecological safety–low economic level, and Gansu and Guizhou belong to the low ecological safety–low economic level. The rest of the regions are classified in the low ecological security–high economic level. Fourth, the forest ecological security in western China has gradually become better, with the security index increasing from 0.417 to 0.469, with an average annual increase of 12.47%.
Research on the perception and evaluation degree that the rural natural landscape plays an important role in improving rural sustainable development and construction. However, the views of young people, who play a key role in social development, on the natural landscape of the countryside have been neglected. Based on the perspective of the rural natural landscape in China, this study combines the field research of Ma Ying, San Shi Gang, and Shen Fu villages around Hefei, Anhui Province, and constructs a perception and experience evaluation index and questionnaire of the rural natural landscape from four dimensions of rural landscape ecology, water environment, climate, and sound. Through the online questionnaire, 316 questionnaires were distributed to young people aged 18 to 35 years old, and 283 valid questionnaires were recovered with an effective recovery rate of 89.56%. The Cronbach coefficient was 0.954, and the KMO value was 0.968. The reliability and validity were good. The analytic hierarchy process (AHP) combined with the entropy method was used to calculate the weight of each index and analyze the influencing factors of young people’s perception evaluation of the rural landscape. Firstly, young people have a good perception of rural climate conditions, but the planning and layout of rural landscape ecology need to be improved. Secondly, sound comfort, air cleanliness, and landscape adaptation in a rural environment are the key factors that affect young people’s perception and experience of rural areas. Thirdly, improving the adaptability of the rural natural landscape to the local environment and the richness of vegetation is conducive to improving young people’s favorable understanding of the rural environment.
Based on the Web of Science (WoS) core collection database, this article compares the research results in this subject area since 2000 with the literature data on the theme of sustainable architectural design and conducts an in-depth investigation into the research themes, basic literature, development trends, and research frontiers. Qualitative and quantitative analyses were conducted through the CiteSpace scientific visualization software, and the degree of collaboration between authors, institutions, and countries was analysed through research power. The topical research hotspots and their evolution were explored through a word frequency analysis, cluster analysis, and timeline analysis; the origins and development of a particular issue in sustainable building design were explored in conjunction with mutation analysis; and the frontier hotspots were explored. The analysis of co-citations was used to identify important knowledge bases in the field; the flow of knowledge between disciplines was explored through biplot overlay analysis. By interpreting the scientific visualization knowledge map, it was concluded that the research trends in sustainable building design are mainly in the areas of resource control, energy consumption, renewable building materials, evaluation systems, and computer-aided tools, and so on. The major topics of future research related to sustainable building design are discussed and summarized.
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