Abstract
Abstract. The study used the mainstream social media in china - Sina microblogging data combined with nighttime light remote sensing and various geographical data to reveal the pattern of human activities and light pollution of the Jiangxi Provincial National Nature Reserves. Firstly, we performed statistical analysis based on both functional areas and km-grid from the perspective of space and time, and selected the key areas for in-depth study. Secondly, the relationship between microblogging data and nighttime light remote sensing, population, GDP, road coverage, road distance and road type in nature reserves was analyzed by Spearman correlation coefficient method, so the distribution pattern and influencing factors of the microblogging data were explored. Thirdly, a region where the luminance value was greater than 0.2 was defined as a light region. We evaluated the management status by analyzing the distribution of microblogging data in both light area and non-light area. Final results showed that in all nature reserves, the top three were the Lushan Nature Reserve, the Jinggangshan Nature Reserve, the Taohongling National Nature Reserve of Sikas both on the total number and density of microblogging ; microblogging had a significant correlation with nighttime light remote sensing , the GDP, population, road and other factors; the distribution of microblogging near roads in protected area followed power laws; luminous radiance of Lushan Nature Reserve was the highest, with 43 percent of region was light at night; analysis combining nighttime light remote sensing with microblogging data reflected the status of management of nature reserves.
Highlights
In accordance with the relevant provisions of the Regulations of the People's Republic of China on Nature Reserves, nature reserves can be divided into core areas, buffer zones and experimental areas
4.1 Temporal and Spatial Distribution of Microblogging Data After the statistics for microblogging data of all national nature reserves (Wuyuan Forest Bird National Nature Reserve excepted) in Jiangxi Province, we found that from the total amount of microblogging, buffer zone was the most, followed by the core area and experimental area, but when we considered the area of nature reserve, the result changed – most of the experimental area had a greater microblogging density, followed by the buffer zone and the core area
After overlaying the base map and the nightlight remote sensing, it was possible to discover the actual existence of light pollution of the nature reserve and its distribution range
Summary
In accordance with the relevant provisions of the Regulations of the People's Republic of China on Nature Reserves, nature reserves can be divided into core areas, buffer zones and experimental areas. The types of human activities prohibited in nature reserves and the areas to be developed have clearly restricted on laws and regulations, with the development of economy and society, the contradiction between nature reserves and economic development, human activities including all kinds of development and construction projects of nature reserves, agricultural production, resource collection and tourism become one of the major threats to the protection and management of the nature reserves nowadays. The evaluation method of analyzing the impact of human activities on nature reserves can be divided into traditional methods based on traditional statistics and methods based on geographic information science and technology. Methods based on traditional statistics often have difficulties in data acquisition, data inconsistency or time and effort. Another problem is that for ecological reserves, most regions have lower population density, less industrial and agricultural industries, and tourism may be relatively developed.
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