Food resources play a great role in human livelihood, so it is meaningful to investigate their utilization and structural evolution, especially in developing countries. This study takes data from FAOSTAT and the World Bank, and applies the emergy method to analyze Uzbek food consumption changes and characteristics from 1992 to 2019. Two main results were obtained: (1) National food consumption showed a persistent increase and had a remarkable change in stages, with the first stage of low-level repetition, the second stage of speeding up and the third stage of high development. The increase of animal-based food consumption was more notable than that of plant-based food consumption. (2) Per capita annual food consumption had a tendency of change that was similar to that of national food consumption. The proportion of animal-based food in the total per capita annual food consumption usually remained about 2-fold higher than that of plant-based food consumption. The main food consumption pattern was the combination of crops such as wheat and rice with meat such as beef. The fruit and vegetable consumption also increased. With the growing population, various changes in food demand will inevitably happen, so it is necessary to take sustainable measures in time to satisfy the new demand and to protect resources and the environment.

Using ArcGIS to analyze the spatial distribution of traditional villages in Yunnan Province in combination with the actual local conditions of traditional villages, the purpose of this study is to determine the development model suitable for their characteristics. The results show several important features of traditional village distribution. (1) The traditional villages in Yunnan Province have spatial structural characteristics of unbalanced cohesive distribution, and they are mainly distributed in the higher-level cities and prefectures such as northwest Yunnan, west Yunnan and south Yunnan. Among them, the traditional villages of Baoshan City have the highest distribution density of 66.33 per 10000 km². This is followed by Dali Prefecture and Honghe Prefecture, where the densities of traditional villages are 44.13 per 10000 km² and 37.66 per 10000 km², respectively. (2) The factors affecting the spatial distribution structure of traditional villages in Yunnan Province are natural geographical factors, humanistic historical factors and transportation factors. Among them, the natural geographical conditions with a large vertical gap in Yunnan Province gave birth to the human settlement environment of traditional villages. The history of a farming civilization that has been passed down from generation to generation has laid a brilliant and splendid humanistic foundation for traditional villages, and the high-altitude areas are relatively primitive. The transportation conditions have delayed the destruction of traditional villages by urbanization and industrialization. In summary, these factors have affected the spatial distribution pattern of traditional villages in Yunnan Province to some extent. (3) According to the law of the spatial distribution of traditional villages in Yunnan Province, it is necessary to explore the activation path of traditional village tourism with regional characteristics and ethnic characteristics, and also to carry out differentiated development according to the different endowment characteristics of local resources, that is to develop a series of activation modes including agricultural tourism, cultural tourism and ecological tourism.

As a typical representative of the herbivorous wild animals in Chang Tang Plateau, the number of Tibetan wild asses has increased significantly in recent years. Clarifying the distribution, population, and size of its habitats is conducive to formulating the protection plan for wild animals and managing the conflict between people and wild animals in Chang Tang Plateau. Based on the distribution probability of Tibetan wild ass habitats and environmental factors, the number of Tibetan wild asses in Gaize County of Chang Tang Plateau was calculated by using the belt transect method and random forest model, and due to the uncertainty of the calculations, the results were corrected and analyzed. The results show that the living environment of Tibetan wild asses in Gaize County of Chang Tang Plateau is at 4400-4600 m above sea level, 350-400 m away from the river, and the average temperature in the warmest season is 10-12 ℃. The vegetation types of habitats are generally temperate tufted dwarf grass, dwarf semi shrub desert grassland, alpine grass, Carex grassland, alpine cushion dwarf semi shrub desert, among others. On the basis of studying the environmental preferences of Tibetan wild asses, the random forest model was corrected by using the data of the second scientific survey sample line of Qinghai-Tibet Plateau for three years. The approximate number of Tibetan wild asses in each of the different areas of Gaize County was obtained. The number of Tibetan wild asses in Gaize Town, Xianqian Township, Gumu Township, Chabu Township, Mami Township, Wuma Township and Dongcuo Township is 855, 3458, 2358, 1453, 743, 943 and 647, respectively. By studying the environmental preferences of Tibetan wild asses and analyzing the results of the belt transect survey, the random forest model can accurately estimate the number of Tibetan wild asses in Gaize County of Chang Tang Plateau.

The study of ecosystem service consumption (ESC) in Nepal not only helps us to understand the intensity and management level of Nepal’s ecosystem utilization, but also provides scientific data support for the establishment and planning of China’s aid to Nepal. Based on the data of food consumption and forestry production and trade, this study dynamically investigated the consumption levels, structure and ecological consumption patterns of farmland, forest, grassland, water and the integrated ecosystem in Nepal and their main driving forces, using the physical quantity accounting method. The results showed that the total consumption of farmland, forest, grassland, water and the integrated ecosystem in Nepal from 1961 to 2018 exhibited a fluctuating increase, with average value of 7.26 Tg yr^-1, 6.38 Tg yr^-1, 1.10 Tg yr^-1, 0.02 Tg yr^-1 and 14.76 Tg yr^-1, respectively. The annual per capita forest consumption roughly decreased, while the annual per capita consumption of farmland, grassland, waters and integrated ecosystems mostly increased with their growth rates accelerating. The corresponding ecological consumption patterns were the “Log-Cereal-Milk” mode during 1961-1984, the “Log-Cereal-Vegetable-Root-Milk-Sugar” mode during 1985-2007 and the “Log-Cereal-Vegetable-Root-Sugar-Fruit-Milk” mode during 2008-2018. This study indicated that the supply capacity of the ecosystem (production, import and export capacity) and socio-economic factors (population density, per capita GDP and religious beliefs) are the main driving forces that are restricting the evolution of Nepal’s ecological consumption pattern. Although Nepal’s dietary structure has improved significantly, there is still a large gap between it and the standard of a balanced diet. The supply capacities of fruits, meat, eggs, milk and aquatic products should be enhanced to meet people’s demand for a balanced diet. This study can provide data support for the establishment of China’s aid projects to improve Nepal’s livelihood.

Climate is an important factor that affects the livability of a region. The climate suitability of a region’s environment for human settlement profoundly affects the regional socio-economic development and the population distribution. Tibet is an area that is sensitive to climate change. Given the impact of global climate change, the climate suitability of Tibet has undergone significant changes. In this study, the temperature humidity index (THI) values for Tibet were calculated, and the relationships between the population distribution and the THI were analyzed quantitatively. In this way, the zoning standards for climate suitability in Tibet were determined such that the climate suitability could be evaluated. The results show that the average annual temperature in the southeast of Tibet, where the population was densely distributed, was relatively high. The mean annual relative humidity showed a trend of gradually decreasing from south to north. Regions with a suitable climate, including the high suitability areas (HSAs), the moderately suitable areas (MSAs) and the low suitability areas (LSAs), accounted for only 7.90% of the total area but accommodated over 40% of the total population. The critically suitable areas (CSAs) accounted for 37.81% of the land area and 48.24% of the total population. Non-suitable areas (NSAs) were widely distributed in Tibet and accounted for 54.29% of the total area and 11.33% of the total population. The results of this study may provide a reference for guiding the reasonable distribution of population and promoting the optimization of the spatial planning in Tibet.