The rational allocation of land resources is crucial to ensuring human well-being, livelihood, and survival. The study of Production-Living-Ecological Space (PLES) provides new perspectives on land resource allocation. However, few studies have assessed the feasibility of PLES optimization in ecological transition zones. For this study, using the composite functional space classification method, a classification and functional utility scoring system were constructed. Various methods, including dynamic attitude, transfer matrix, and spatial autocorrelation, were employed to characterize the evolution of the quantity and quality of PLES in the Hexi Corridor. Moreover, the mechanisms driving these changes were explored using a geodetector. Our findings revealed that: (1) The distribution of Production-Ecological Space (PES) is higher in the west and south and lower in the east and north. Production-Living Space (PLS) is scattered. Ecological-Production Space (EPS) is mostly distributed in the south or west, whereas Ecological Space (ES) is mainly located in the north and west of the Hexi Corridor. (2) From 1980 to 2020, the area of PES and PLS increased by 2037.84 km² and 673 km², respectively; the area of EPS was relatively stable, and the area of ES decreased by 2523.06 km². (3) The evolution of PLES quality indicated that the high functional utility area of PES and PLS was roughly the same as the expanded functional utility area, whereas the expanded functional utility area of EPS and ES is similar to the median functional utility area. (4) The spatiotemporal evolution of PLES is closely linked to natural, economic, and social factors.

The construction of ecological security patterns has become a crucial approach to assessing ecosystem health and integrity and is essential for achieving sustainable and high-quality development in both urban and rural areas. Using Lanzhou City as an example, our study employed the InVEST model, ecological service importance evaluation, and hotspot analysis to classify ecological sources. Additionally, ecological corridors were identified and optimized using the least resistance model and circuit theory. The identified corridor pattern was further analyzed using space syntax and neural networks to determine the influences of various factors. This framework can be applied to the circular construction of corridors. Our findings revealed a three-stage differentiation trend in the importance of ecosystem services. Ecological source areas and corridors were densely distributed in the northwest of Lanzhou. The optimized ecological source area increased from 2914.1 km² to 4542.5 km², raising its proportion in the study area from 22.2% to 34.7%. The total number of corridors after optimization was 217, spanning a 2657.3 km length. The Gaolan Mountain area had the highest current density, whereas the ecological barrier area was mainly distributed in the northwest of Yongdeng County and the north of Yuzhong County. The spatial syntax index indicated significant potential reachability between the Honggu area and the northwest area. Finally, using neural network perceptrons to simulate ecosystem service functions, our findings revealed that habitat quality showed the best fit under single-dependent-variable prediction, followed by water yield, with soil conservation showing a poor fit. Under three-dependent-variable prediction conditions, population factors had the greatest impact on ecosystem services, while slope had the least impact. Therefore, it is important to promote the construction of green infrastructure in the northwest and southeast, improve the connectivity of ecological corridors in Honggu District, and adopt corresponding spatial corridor optimization strategies according to different ecological needs. Collectively, our findings provide a theoretical and practical basis for the construction and optimization of urban and rural ecological security patterns in the semi-arid region of Lanzhou.

Given the crucial role of land use in shaping coupled water–carbon processes in ecosystems, it is essential to assess carbon use efficiency (CUE) and water use efficiency (WUE) across different land use types. This study established an analytical framework incorporating trend analysis, partial correlation, and relative contribution methods to evaluate how WUE and CUE in the Yellow River Basin (YRB) responded to key climatic variables between 2001 and 2023. It also identified the dominant climatic drivers across different land use types during 2001–2022. The principal findings were as follows: (1) from 2001 to 2023, the mean WUE and CUE were 0.73 g C m⁻² mm⁻¹ and 0.60, respectively. (2) Wetlands and croplands had higher WUE, while grasslands and shrublands showed higher CUE. (3) MAT was negatively correlated with WUE and CUE across 89% and 74% of the YRB, respectively, while MAP and SR showed spatially variable effects. (4) MAT was the dominant factor driving WUE variation across all land use types (accounting for approximately 40%). Except for shrublands, CUE was mainly influenced by MAP. These results highlight differentiated climate impacts across land use types, providing important insights for ecosystem restoration and spatial governance.

Trait-based approaches are increasingly used to understand crop yield improvement, although they have not been widely applied to anatomical traits. Little is known about the relationships between root and leaf anatomy and yield in wheat. We selected 20 genotypes that have been widely planted in Luoyang, in the major wheat-producing area of China, to explore these relationships. A field study was performed to measure the yields and yield components of the genotypes. Root and leaf samples were collected at anthesis to measure the anatomical traits relevant to carbon allocation and water transport. Yield was negatively correlated with cross-sectional root cortex area, indicating that reduced root cortical tissue and therefore reduced carbon investment have contributed to yield improvement in this region. Yield was positively correlated with root xylem area, suggesting that a higher water transport capacity has also contributed to increased yields in this study. The area of the leaf veins did not significantly correlate with yield, showing that the high-yield genotypes did not have larger veins, but they may have had a conservative water use strategy, with tight regulation of water loss from the leaves. This study demonstrates that breeding for higher yields in this region has changed wheat’s anatomical traits, reducing the roots’ cortical tissue and increasing the roots’ xylem investment.

Urban sky gardens—elevated green spaces on buildings, encompassing rooftop gardens and podium gardens—are critical to the improvement of urban ecosystem services and functions. Understanding the spatial patterns and the influencing factors of sky gardens is essential for the precise allocation of elevated spaces in urban development. Taking the four central urban districts of Lanzhou in China as the study region, a GIS database of 508 sky gardens was established by identifying high-definition image maps and on-site investigations. The spatial patterns and influencing factors, such as building height, ground-level green area, and population density, were analyzed. The development of sky gardens was also compared in Lanzhou and Guangzhou, China. The distribution of sky gardens in Lanzhou exhibited spatial heterogeneity. Most sky gardens were distributed along the Yellow River. Chengguan District had more sky gardens than Xigu District. In terms of structural characteristics, 82% of sky gardens were rooftop gardens, 73% were located in residential buildings, and 63% were attached to mid- and low-rise buildings. Most sky gardens were one floor, characterized by no public accessibility, a location in high-density plots, and low vegetation coverage. Sky garden area was negatively correlated with building height, ground-level green area, and green plot ratio in sky gardens. There were positive associations between sky garden area and higher plot ratio, building density, and population density based on Multiscale Geographically Weighted Regression. Due to the proper climate conditions and economy, Guangzhou had more sky gardens than Lanzhou. Our study suggests that the utilization of rooftops and podiums is relatively low, and the development of sky gardens exhibits spatial clustering. A suite of optimizing strategies should be implemented to enhance the accessibility and usability of sky gardens.