China is a vast and diverse country and population density in different regions varies greatly. In 2023, the estimated population density of the administrative area of Shanghai municipality reached about 3,922 inhabitants per square kilometer, whereas statistically only around three people were living on one square kilometer in Tibet. Population distribution in China China's population is unevenly distributed across the country: while most people are living in the southeastern half of the country, the northwestern half – which includes the provinces and autonomous regions of Tibet, Xinjiang, Qinghai, Gansu, and Inner Mongolia – is only sparsely populated. Even the inhabitants of a single province might be unequally distributed within its borders. This is significantly influenced by the geography of each region, and is especially the case in the Guangdong, Fujian, or Sichuan provinces due to their mountain ranges. The Chinese provinces with the largest absolute population size are Guangdong in the south, Shandong in the east and Henan in Central China. Urbanization and city population Urbanization is one of the main factors which have been reshaping China over the last four decades. However, when comparing the size of cities and urban population density, one has to bear in mind that data often refers to the administrative area of cities or urban units, which might be much larger than the contiguous built-up area of that city. The administrative area of Beijing municipality, for example, includes large rural districts, where only around 200 inhabitants are living per square kilometer on average, while roughly 20,000 residents per square kilometer are living in the two central city districts. This is the main reason for the huge difference in population density between the four Chinese municipalities Beijing, Tianjin, Shanghai, and Chongqing shown in many population statistics.

Population density population distribution is the main form and the main indicators to measure regional differences in population distribution. Town (Street) at the grass-roots administrative system in China, is China's smallest administrative unit of the public release of census data, population density in the township-level data can be objective and precise characterization of the spatial pattern of population distribution and trends in China, and for research on resources, environment and population issues is of great significance. Paper standardized processing has China Liaoning, and Jilin, and in Inner Mongolia (part area), and Beijing, and Tianjin, and Shanghai, and Hebei, and Henan, and Shaanxi, and Ningxia, and Shanxi, and Shandong, and Anhui, and Jiangsu, and Hunan, and Hubei, and Jiangxi, and Zhejiang, and Fujian, and Guangdong, and Hainan, and Yunnan, and Guizhou, and Qinghai, and Tibet, 25 a province (municipalities, and autonomous regions) Township (Street) level administrative line data and the fifth times census Township (Street) level population statistics data, guarantee Township border county (district) Territories consistent, and Spatial and census information for each township unit corresponds to one by one. On this basis, accurately matching the spatial extent of each township and census information, calculated the average population density of communes, form the data set.

Moran’s index of rural settlements in Inner Mongolia.

Among all provinces in China, with over ** gigawatts of prospective onshore wind power, Inner Mongolia was planning to install the most wind power capacity. With its flat and vast landscape and low population density, it is a very suitable location for wind energy generation.

A mating system is an important life history for animals dealing with changing environments. Population density affects the plasticity of a mating system and subsequently the family structure of animals, but its impacts on mating systems and social structures are rarely investigated by using molecular markers in field conditions. In this study, using microsatellite genetic markers, we examined the changes in the social and genetic mating system and family structure of Brandt’s voles in the grassland of Inner Mongolia, China, under low-, medium-, and high-density enclosures (each enclosure 0.48-ha with 4 replicates.) We found, that with the increase in population density of the founder voles introduced into the enclosure in early spring, both sexes increased their number of genetic mating partners, while males increased their social partners, resulting in a more promiscuous mating system. The number of genetic fathers and mothers per family, the number of social offspring per founder mal..., The study site had pre-constructed twenty-four 0.48-ha enclosures (80 × 60 m) with galvanized iron sheets extending 1 m below the ground’s surface and 1.4 m above the surface to prevent escaping, intrusion and movement of burrowing rodents into, out of, and between enclosures (Li et al., 2016). A raptor†proof nylon netting (10 cm mesh size) covered the top of each enclosure to obstruct avian predators. The integrity of each enclosure’s construction was regularly checked and maintained. Twelve enclosures were randomly assigned to one of three treatments that differed in founder population size: Low Density (6 ♂:6 ♀), Medium Density (12 ♂:12 ♀) and High Density (18 ♂:18 ♀). Each treatment had four replicates. The density level was based on a previous test in which 13-15 pairs of male and female voles were released into each enclosure in April (Li et al., 2016). The highest population density of an enclosure was recorded in one of the high-density enclosures at 138 individuals by the end o..., Data can be opened using Microsoft Excel and other similar software such as LibreOffice Calc. , # Density-dependent changes of mating system and family structure in Brandt's voles (Lasiopodomys brandtii)

https://doi.org/10.5061/dryad.qv9s4mwhx

DATA & FILE OVERVIEW

Dataset.xlxs

This dataset consists of 6 sheets named:

• Population size
• Per capita reproductivity
• Mating system
• Parent structure
• Offspring structure
• Family link

Variables:

LD - low density treatment

MD - medium density treatment

HD - high density treatment

Code/Software

R software (v. 3.6.1)

Description of the data used in this study.

As of the end of 2023, Inner Mongolia had the highest wind power capacity among all provinces in China. The province's wind farms had a combined output potential of over ** gigawatts. With its flat and vast landscape and low population density, it is a very suitable location for wind energy generation.

Land use type transfer matrix.

Impact factor.