When studying the human settlement process, it is of great significance to understand the prehistoric environment, economy and society by exploring the human–land relationship and the evolution of civilization reflected by the settlement environment. This paper explores the natural and social environmental preferences of early human settlements in Xinjiang, China, from the Palaeolithic to the Bronze Age (45 ka BP–2250 a BP). Through the characteristics of settlement preferences, the distribution of settlements is accurately predicted, and the relationship between settlement preferences and the evolution of the environment and civilization is verified and discussed. We summarize the needs and conditions of early human settlement from the perspectives of the social environment and natural environment and explain the stages, consistency and differentiation of the spatial and temporal evolution of settlement preferences with the interaction of adaptation and transformation. On this basis, we discuss the logical focuses and content of early human settlement preference research. This research provides a reference for the process, representation, driving mode, and research ideas of early human settlement preferences.
The published map recording cultural sites in Xinjiang shows that there is a lack of data collection on the distribution of sites in the area, and no relevant data sets have been released. Existing written materials indicate that there are more cultural sites in this area. For this reason, we have collected and sorted out information. Our cultural site database provides the geographic location and corresponding geographic environment of each site in Xinjiang from the Paleolithic to the Bronze Age. The data record the human development and settlement process, settlement environment landscape characteristics, scale, type, quantity, and spatial distribution in Xinjiang in prehistoric China. These data not only are the basis for further understanding the spatial distribution of prehistoric humans in Xinjiang, but also provide references for understanding prehistoric human behavior and prehistoric man-land relationship, and the exchange of eastern and western civilizations. It is of great significance to modern social planning, site protection, and resource utilization.
Determining critical ecological protected areas at the city (county) spatial scale is crucial for coordinating regional ecological environment management, control, and governance. It is a recognized consensus in academia that human activities significantly impact natural ecosystems. Many scholars ignore this point in the research process and only use several factors to characterize human influence. Therefore, this study takes Aksu City and Wensu County, important cities and towns in southern Xinjiang, as examples, focusing on the impact of human activities on the distribution of critical ecological protection areas. First, we simulated the range, intensity, and local natural conditions of human activities in the study area using geospatial data. We created corresponding resistance surfaces (human activity resistance surface and natural landscape resistance surface). We then assign different weights to the two resistance surfaces based on several possible scenarios, resulting in different synthetic resistance surfaces. Finally, we used the Linkage Mapper plugin to identify critical ecological reserves and compared several results. The results show that: Human activities have greatly interfered with the migration and dispersal of species, affecting the distribution of critical ecological reserves. The specific performance is that in the urban center area with high intensity of human activities, the number and location of the surrounding ecological corridors change significantly with the increase in the proportion of human activity resistance and the total area remains unchanged; As part of the ecological corridors, the ecological pinch points changes with the location of the corridor, and the whole area remains unchanged; The threshold range of the restoration value of ecological barrier points is reduced. The maximum value generated by the restoration of ecological barrier points is reduced, which shows that the restoration value of ecological barrier points decreases with increased human activities.
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