To explore the differences in stoichiometric homeostasis and resorption efficiency of nitrogen (NRE) and phosphorus (PRE) of tree species in Kanas natural forest. We selected four primary tree species: Larix sibirica (LS), Picea obovata (PO), Pinus sibirica (PS), and Betula pendula (BP) and measured concentrations of carbon (C), nitrogen (N), and phosphorus (P) in fresh leaves, leaf litters, and soil. Our findings showed that compared to deciduous species (LS, BP), evergreen species (PO, PS) had higher fresh leaf C concentrations and C: N ratios. As opposed to evergreen plants, deciduous species have higher levels of fresh leaf N concentration, while the P concentration and C: P did not exhibit such a pattern. Mass-based NRE and PRE averaged 52.55 and 49.16%, respectively, with a significant difference among life forms in NRE but no varied in PRE. NRE increased with N concentration in fresh leaves of BP, PO, and LS, NRE decreased with N concentration in leaf litters of all species; PRE increased with P concentration in fresh leaves of all species, PRE decreased with P concentration in leaf litters of LS, PO, and PS. Only NRE of BP and PS and PRE of PS showed significant relationship with soil N and P concentrations, respectively. Neither NRE nor PRE was insignificantly related to mean annual temperature (MAT) for all species. The N concentration of all species showed strict homeostasis corresponding to their being limited by the N element. Only the P concentration of PS and PO and N: P ratio of PS varied with corresponding traits in soil. Overall, our results provide insight into the N and P nutrient use characteristics of tree species in the Kanas natural forest and can provide a scientific basis for regional ecological restoration.

Gold mining plays an essential role on the social and economic development. However, mining activities leads to destructive changes in ground structure and biodiversity, triggering considerable environmental problems. This study proposed a field observation to evaluate the short-term efforts of the artificial restoration measures taken by the Two-River Source Nature Reserve Administration from 2010 to 2015 in an abandoned gold mining area in Altai Mountain, Northwest China. The effects of different ecological restoration measures on soil and vegetation recovery were examined by calculating the richness index, dominance index, diversity index, evenness index, aboveground biomass, vegetation coverage, species number and soil-rock ratio index of the recovered area. Further, a principal component analysis (PCA) was used to compare the efficiency of each artificial measure. The results showed that gold mining activities cause serious environmental degradation in natural landscapes. The soil-rock ratio of the abandoned mining area was reduced by 98% compared with the original grassland. The surface vegetation was destructively destroyed, and the surface soil was stripped. Restoration measures considerably improved ecological conditions, which were reflected by surface biomass, diversity index and the soil-rock ratio, as well as accelerated ecological rebuilding processes in abandoned mining areas. The ecological efficiency of the single restoration measures assessed, such as soil measures, water replenishment measures and biological measures, was not significant. The average values of various indexes of these measures showed lower values of 0.12–0.45. The combination of various measures can not only improve the soil environment but can also lead to changes in plant community diversity and significant ecological efficiency. This was reflected by the values of various indexes, which reached higher values of 0.4–1.21. As far as the same kind of restoration measure is considered, the longer the restoration period, the better the recovery effect.

With the new round of western development being pushed forward and territorial spatial planning being put into place, northwest China’s urbanization rate has sped up. Urbanization will inevitably affect the city’s general landscape pattern and features, aggravating the landscape’s fragmentation and destroying the urban ecological environment. That threatens the well-being of the residents and the city’s biodiversity. Urban green space provides a habitat for the creatures in the city, and its connectivity provides corridors. Researchers and planners have developed green space networks to protect urban biodiversity and satisfy urban residents’ needs for recreation and ecologically friendly open space. This study uses RS, GIS, SeNtinel Application Platform (SNAP), and Conefor Sensinode. Applying the landscape connectivity index, least-cost path model, and corridor curvature analysis to identify potential recreation and biodiversity conservation corridors with a reasonable width, identifies good quality green space patches and corridors, or which ones need improvement. The results show that: (1) The patches selected by the possible connectivity index (PC) calculated with a threshold of 100 m in the urban area of Kashgar have higher recreational attributes. (2) There are 24 effective recreational corridors in Kashgar, with a total length of 43.44 km, and 53 effective biodiversity conservation corridors, a total of 78.23 km. Suppose recreational and ecological functions are considered to build a comprehensive green space network. The 50 m recreational corridor is mainly distributed in the center, and the 30 m biodiversity conservation corridor is primarily distributed on edge. (3) We can determine the location of the new green space suitable for protection or development by analyzing the corridor curvature. Through the constructed green space network, we can find that green space planning has severe fragmentation, unfair distribution, and other problems. Based on these issues, optimizing urban green space can promote the connectivity of urban green space. Furthermore, studying the width of corridors suitable for dense urban areas is conducive to protecting urban biodiversity and resident well-being.

The ecological footprint and ecosystem service functions in the northwest arid region of China have their unique characteristics and are limited by natural resources. The coordination level between the pressure of human activities on the ecosystem and the ecosystem service capacity can be objectively reflected on by exploring the coupling coordination relationship between these two aspects. This work used the ecological footprint and Integrated Valuation of Ecosystem Services and Trade-offs models to quantitatively analyze the spatial and temporal variations of the ecological footprint and ecosystem service functions in the Aksu region in Xinjiang. A coupling coordination degree model and spatial autocorrelation analysis were used to assess the coupling coordination level and spatial agglomeration characteristics of the regional ecological footprint and ecosystem service functions. The results showed that the ecological footprint of the Aksu region has been high in the northeast and low in the southwest, with noticeable spatial heterogeneity, from 2005 to 2018. Carbon (66.17%) and cropland (26.64%) are the main contributing factors to the regional ecological footprint. The biocapacity is dominated by cropland, built-up land, and forest land. The ecological footprint and biocapacity showed an increasing trend, ranging from an ecological surplus to an ecological deficit, with a continued ecological deficit. The level of ecosystem service functions in the Aksu region was low, with significant spatial variability. The high values were concentrated in the northern part of the region and the Tarim and Hotan River Basins. The coupling coordination level of the ecological footprint and ecosystem service functions in the Aksu area was high in the north and low in the south. The aforementioned coupling coordination level was dominated by the spatial pattern of the ecosystem service functions and had noticeable spatial agglomeration characteristics. The coupling coordination degree of the ecological footprint and water supply function showed an upward trend. By contrast, the coupling coordination degree of the ecological footprint with soil conservation and biodiversity maintenance functions showed a downward trend.