Investigation on the Relationship between Biodiversity and Linguistic Diversity in China and Its Formation Mechanism.

Previous studies have demonstrated that countries, biodiversity hotspots, wildness areas, and islands with high biodiversity also have high linguistic diversity, while the regional correlation between phonetic, lexical, and grammatical diversity within a particular kind of language and biodiversity has not been verified. Based on the methods of GIS visualization and Spearman correlation coefficient, the regional differences and correlations between linguistic diversity and biodiversity in China are investigated in this paper using the numbers of plant species, animal species, Chinese dialects, and the data of phonetic, lexical, and grammatical diversity of Chinese dialects. The results reveal the positive regional correlations between the diversity of Chinese dialects, as well as the phonetic, lexical, and grammatical diversity of Chinese dialects and biodiversity. In addition, the regional correlation between linguistic diversity and plant diversity is stronger than that between linguistic diversity and animal diversity. The diversity of Chinese dialects is being weakened by the industrialization and urbanization. Furthermore, some countermeasures to protect linguistic diversity are proposed, such as protecting biodiversity and small communities, as well as promoting national language resource protection projects.

Selection of the Most Scenic Viewpoints on an Island Based on Space-Time Perception: The Case of Nan'ao Island, China.

Selecting the most scenic viewpoints in an island forest park can provide a scientific basis for island ecotourism planning. In this paper, considering the influence of climatic conditions on sightseeing, landscape factors, accessibility factors, and seasonal change factors are selected from the perspective of time and space to analyze the landscape spatiotemporal characteristics, and the construction of a landscape spatiotemporal perception evaluation model and the analysis of influencing factors are carried out. The results show that the evaluation model for landscape spatiotemporal perception factors can quantitatively describe tourists' comprehensive perception of a landscape in different regions and time periods in ecotourism areas, and can identify the spatiotemporal characteristics of landscape perception. Case studies preliminarily prove the feasibility of the model and calculation process. This method provides a strong reference for the development and planning of island tourism, especially providing new ideas and methods for the design of sightseeing routes in the development and planning of small-scale scenic viewpoints, which can enrich island tourism planning.

The Construction of Ecological Security Patterns in Coastal Areas Based on Landscape Ecological Risk Assessment-A Case Study of Jiaodong Peninsula, China.

Increasing land utilization, population aggregation and strong land-sea interaction make coastal areas an ecologically fragile environment. The construction of an ecological security pattern is important for maintaining the function of the coastal ecosystem. This paper takes Jiaodong Peninsula in China, a hilly coastal area, as an example for evaluating landscape ecological risk within a comprehensive framework of "nature-neighborhood-landscape", based on spatial principal component analysis, and it constructs the ecological security pattern based on the minimum cumulative resistance model (MCR). The results showed that the overall level of ecological risk in the study area was medium. The connectivity between the areas of low landscape ecological risk was relatively low, and the high risk areas were concentrated in the north of the Peninsula. A total of 11 key ecological corridors of three types (water, green space and road corridors) and 105 potential corridors were constructed. According to the ecological network pattern, landscape ecological optimization suggestions were proposed: key corridors in the north and south of Jiaodong Peninsula should be connected; urban development should consider current ecological sources and corridors to prevent landscape fragmentation; and the ecological roles of potential corridors should be strengthened. This paper can provide a theoretical and practical basis for ecological planning and urban master planning in coastal areas in the future.

The regional differences and influencing factors of tourism development on Hainan Island, China.

Exploring the spatial pattern of tourism resources and tourism economy is vital to improve the utilization efficiency of tourism resources and promote sustainable tourism development. This research investigated the quantity and types of tourism resources and analyzed the spatial patterns of tourism resources on Hainan Island from the perspectives of spatial variation and spatial association. The spatial and temporal pattern of the number of tourists and tourism revenue during 2010-2019 were further analyzed. The influencing factors of tourism development were explored based on the geographic detector. The results showed that 10425 tourism resources exist on Hainan Island, and the type of buildings and facilities had the largest number of tourism resources. The geological landscape, astronomical phenomena and meteorological landscapes, buildings and facilities, ruins and remains, tourism commodities, and human activities showed significant spatial agglomeration. Domestic tourism was far more developed than inbound tourism in terms of the number of tourists and tourism revenue. However, the spatial difference of tourism resources and tourism economy was apparent on Hainan Island. Factor analysis showed that the quantity of hotels, the proportion of tertiary industry in the GDP, and the regional population were the most influential factors for the distribution of tourism resources, while the density of the road network, the quantity of hotels, the per capita GDP, the proportion of tertiary industry in GDP, the regional population, and the quantity of tourism resources showed obvious influences on the tourism economy of Hainan Island. Interactions of the factors mainly fell into three types: synergistic increases, single factor weakening, and nonlinear weakening. It is suggested that the local government should fully exploit diversity types of tourism resources on Hainan Island to attract more tourists and improve the tourism revenue; improving the inbound tourism, and to strengthen the construction of road network on Hainan Island.

Vegetation successions of coastal wetlands in southern Laizhou Bay, Bohai Sea, northern China, influenced by the changes in relative surface elevation and soil salinity.

Vegetation successions of coastal wetlands were influenced by the changes in relative surface elevation and soil salinity. In this study, the vegetation successions of coastal wetlands in southern Laizhou Bay and the factors influencing the successions were investigated by quadrat survey. The changes of relative surface elevation and soil salinity in coastal wetlands of the study region were caused by climate change, sea-level rise, coastal erosion, sedimentation, neotectonism, storm surge, seawater intrusion, invasion of Spatina alterniflora, and utilization of underground brine. The changes led to the regressive vegetation succession of coastal wetlands without the protection of sea embankment and the progressive vegetation succession of coastal wetlands with the protection of sea embankment. The invasion of S. alterniflora resulted in the regressive vegetation succession of wetlands in the riparian zone. The successions weakened the coastal wetlands' ecological capacities of carbon sequestration, pollutant purification, and resisting marine disasters, decreasing their species diversity. Some measures were proposed to resist the adverse impact of successions, such as introducing passenger water, storing water in flood season, digging 200 hm2 of ponds, and planting Salix matsudana and Tamarix chinensis around the ponds.

The spatial pattern and influencing factors of tourism development in the Yellow River Basin of China.

With the implementation of the Belt and Road Initiative and the national strategy of "Ecological Protection and High-Quality Development in the Yellow River Basin", the tourism development of the Yellow River basin of China is facing important opportunity. However, the spatial differences of tourism economy and the unbalanced development of interprovincial resources has become a threat for the sustainable development of the basin. By using the statistical data from 2003 to 2018, this paper aims to identify the numerical feature and spatial patterns of tourism development in the Yellow River Basin from the aspects of tourist volume (domestic tourists and inbound tourists) and tourism income (income from domestic tourism and inbound tourism) at provincial and prefectural scales. Analysis of spatial autocorrelation reveals significant clusters and outliers of tourist volume and tourism income at prefectural scale. Location condition, terrain condition, culture resources, regional policies, the interregional relationship and tourism infrastructure were the main factors influencing the spatial differences of tourism development in the Yellow River Basin. The study could offer useful information for the regional tourism management in the Yellow River Basin.