Resilience theory plays a pivotal role in promoting sustainable urban development and the long-term stable development of the national economy. Based on the “scale-density-form” model of urban resilience, this paper shifts the perspective of urban resilience from the eastern region with higher level of economic development and better infrastructure construction to the arid northwest region with more fragile ecological environment and weaker urban development potential, which enriches the connotation and mechanism of urban resilience to a certain extent. Using ArcGIS platforms, statistical data and remote sensing data as data sources, this paper analyzes the urban resilience of four southern Xinjiang regions (Aksu Administrative Office, Kashgar Administrative Office, Kizilsu Kirgiz Autonomous Prefecture and Hotan Administrative Office) in time and space from 2000 to 2020 using a three-dimensional resilience analysis framework based on scale, density and morphology. The results show that the urban de-development of the study area faces a strong scale safety constraint due to the small available land area in the study area, which leads to its small urban construction land area. The county- and city-scale elasticity levels of Aksu Administrative Office and Kashgar Administrative Office are higher than the average level of the study area, while most of the counties and cities in Kizilsu Kirgiz Autonomous Prefecture and Hotan Administrative Office are lower than the average level of the study area, with large differences between counties and cities. The geographical location of the study area determines the backwardness of the region in terms of ideology, production methods and technology, which seriously restricts the development of local society and economy. In terms of density resilience, there are large differences among counties and cities in the study area, and the density resilience of Aksu, Kashgar and Kucha is much higher than that of other counties and cities. In terms of morphological resilience, with the increasing prominence of ecological status, the urban landscape layout of the study area has changed significantly, leading to changes in the distance between its blue-green landscape and gray-white landscape, which in turn causes changes in morphological resilience. Based on the above findings, initiatives and paths for resilience regulation in the study area are proposed in terms of scale, density and morphology. The study also has a reference value for local urban safety development.

The restoration of alpine grasslands has garnered significant attention across various sectors. Historically, natural restoration has been the primary approach for grassland recovery, characterized by its prolonged duration. To expedite the recovery of degraded grasslands, it is essential to identify the limiting factors of restoration, enabling efficient and rapid recovery. Appropriate nitrogen (N) addition levels have been considered a potential strategy to enhance the recovery of grassland ecosystems and augment their ecological benefits. However, the effectiveness of N addition in alpine grassland restoration remains debated. This study investigated the impact of five N addition levels (CK: control [0 g/m²]; LN: low N [5 g/m²]; MN: medium N [10 g/m²]; HN: high N [15 g/m²]; SN: severe N [20 g/m²]) and two experimental approaches (N addition once per year [NPY] and three times per year [NTY] at the same dosages) on plant and soil properties and the maximum restoration capacity of alpine meadows. Our findings reveal three key insights: The level of N addition was the primary factor influencing aboveground plant biomass and coverage. Plant diversity decreased under the NTY regime and increased with NPY in the Bayinbruck grassland. N addition significantly altered soil properties, including pH, salinity, soil organic carbon (SOC), soil‐available phosphorus (AP), and soil total phosphorus (TP). Notably, soil TP, total nitrogen (TN), and AP substantially impacted plant community structure and diversity. Based on structural equation model (SEM) and analysis of variance (ANOVA), optimal grassland restoration was achieved with the HN (15 g/m²) treatment under NPY and the MN and HN (10 and 15 g/m²) treatments under NTY. Overall, our study offers crucial insights into the conservation, management, and restoration of grassland ecosystems on the Bayinbruck Plateau. It underscores the significance of N addition effects on plant communities, vegetation restoration, and soil properties.

Alpine meadow ecosystems are highly sensitive to global change, yet the response mechanisms of soil respiration (Rs) to nitrogen deposition remain unclear. This research employed a gradient nitrogen addition experiment (0, 5, 10, 15, 20 g·m⁻²·a⁻¹) in an alpine meadow ecosystem in Northwest China to determine the major factors regulating soil respiration responses. High nitrogen inputs (N15 and N20) significantly elevated Rs by 31.96% and 29.21% relative to the control (p < 0.05). Nitrogen addition significantly increased soil ammonium nitrogen (NH₄⁺-N) content, as well as the activities of cellobiohydrolase (CBH) and peroxidase (POD). Microbial community structure shifted with nitrogen addition, showing increased relative abundance of Actinobacteriota (14–25%) and Basidiomycota (13–26%). Functional prediction analysis revealed that high nitrogen treatments enhanced bacterial carbon metabolism functions such as fermentation and ureolysis, while enriching fungal functional guilds like Wood Saprotroph and Arbuscular Mycorrhizal fungi. Partial Least Squares Path Modeling (PLS-PM) indicated that nitrogen addition indirectly drives changes in Rs by regulating physicochemical factors (e.g., NH₄⁺-N), which subsequently influence microbial community composition, functional potential, and key enzyme activities. These findings elucidate the factors influencing soil respiration under varying nitrogen addition levels, providing a theoretical basis for assessing soil carbon cycling in alpine meadows under global change scenarios.

Against global ecological and environmental challenges, water ecological security in arid desert regions is of great significance to regional ecological balance and socio-economic development. This study focuses on the Kashgar Prefecture, specifically the Yarkant River Basin and Kashigaer River Basin, in Xinjiang, China. Employing the perspective of the “Ecology-production-life Space” and the Drive-Pressure-Status-Influence-Respond (DPSIR) model, this study utilizes the objective entropy value method to construct a comprehensive evaluation index system to assess the status of water ecological security and its spatial security in the three regions from 2012 to 2019. The results show that the two major river basins and Kashgar Prefecture present an underbalanced state of production-led ecology, and life space lagging in the Ecology-production-life Space, with different trends and substantial fluctuations in the comprehensive indices of ecology, production, and life of the three. From the DPSIR model, the changes in the indices of the dimensions of the three are complicated, and the response indices are generally low. The composite indices of the two basins and the Kashgar Prefecture are in fair condition, which is affected by the synergistic influence of human activities and natural factors. The production pressure threatens the safety of water ecology, while the ecological protection has a certain degree of effectiveness, but still needs to be improved overall. The rate of improvement is slow due to the limitations of production-led and ecological lag in the future, although there is an upward trend. This study establishes a coupled, complementary assessment framework integrating spatial patterns and causal chains. It validates an evaluation model applicable to discontinuous multi-basin networks in an arid desert region, revealing the evolution patterns and core contradictions of water ecological security in arid multi-basin areas. The results of this study can provide a scientific basis and data support for the study of water ecological security in arid desert multi-basin watersheds.