RESUMO
The distribution and diversity of woody vegetation are crucial for understanding the structure and ecology of urban forests. As urbanization accelerates, the construction and composition of urban forests vary significantly along the urban-rural gradient. Qingdao's urban forests offer an opportunity to test the relationship between the diversity of woody plants and the urban-rural gradient. We classified the urban-rural gradient using imperviousness and construction time, then investigated the diversity of woody plants in Qingdao's urban forests under different urban-rural gradients and tested the reasonableness of their allocation. Correlation analysis found that the diversity index of woody plants in urban forests was highly connected to the urban-rural gradient (by imperviousness: rMargalef Index = -0.589, rShannon-Wiener Index = -0.373, rPielou Index = -0.170, rSimpson Index = 0.272/by construction time: rMargalef Index = -0.530, rShannon-Wiener Index = -0.360, rPielou Index = -0.148, rSimpson Index = 0.272/0.174). With a decrease in urbanization density, the Margalef (H), Shannon-Wiener (H'), and Simpson (D) indices all decreased while the Pielou (E) index increased. The four diversity indices showed a substantial correlation with one another, but not with the Margalef and Pielou indices. The analysis utilizing the 10/20/30 rule of empirical demonstrates a clear irrationality in allocating shrub species in Qingdao's urban forests, and the distribution of tree species is reasonable. Based on the study results, strategies for optimizing and enhancing urban forests in Qingdao are proposed for different urban-rural gradients, respectively. This study can provide a scientific framework for urban biodiversity conservation and management in Qingdao and serve as a guide for urban forests and greening with comparable climates.
RESUMO
Listening to natural sounds, both live and recorded, in either a natural or built environment is considered natural sound exposure (NSE). Sound is closely related to daily life, and research on the restorative effects of natural sounds is expanding. However, there is a lack of quantitative and comprehensive analysis on the impact of NSE on health recovery. This study systematically reviewed and conducted a meta-analysis on the impact of NSE on health recovery. Fifteen studies (1285 participants) were selected for the meta-analysis out of the 1157 literatures about the recovery of the NSE, searched from the Web of Science and Science Direct. The results indicate that NSE has certain positive effects: (a) In terms of emotional changes, NSE significantly reduces anxiety as measured by both the Visual Analog Scale (VAS) -2.31 (95 % CI -2.83, -1.79) and the State Anxiety Inventory (SAI) -12.22 (95 % CI -22.46, -1.98). (b) In terms of physiological reaction, NSE resulted in reduced heart rate (HR) -5.46 (95 % CI -9.62, -1.31), systolic blood pressure (SBP) -11.74 (95 % CI -15.51, -7.97), diastolic blood pressure (DBP) -13.98 (95 % CI -24.96, -2.99) and respiratory rate (RR) -1.58 (95 % CI -3.06, -0.10). (c) While the potential for restoration of cognitive performance by NSE was found, no consistent conclusions have been reached yet. However, there was significant heterogeneity between studies, primarily attributed to variations in study populations and methodologies. Because of the limited literature, we did not conduct subgroup analysis and meta-regression analysis. It is recommended that future studies address this heterogeneity by including more and higher-quality literature and employing rigorous methodologies to establish a robust foundation for evidence-based medicine. This will be of great significance for the application natural sounds in landscape planning and medical rehabilitation environments, and has the potential to promote improvements in public health.