China launched its pilot national park system in 2015, and Shennongjia National Park has attracted much attention as one of the first batch of pilot national parks. The primary goal of national park construction in China is to effectively protect the integrity and authenticity of nationally important natural ecosystems. Based on the theory of landscape ecology, this study interpreted data from high-resolution remote sensing images and used landscape pattern analysis, spatial correlation analysis, and geographic weighted regression analysis to quantitatively evaluate the integrity of natural ecosystems at the landscape scale. A more accurate and operable calculation method was proposed to analyze the spatial variation in natural ecosystem integrity and to explore the scope and intensity of the impact of different anthropogenic activities on natural ecosystem integrity. The results showed that: (1) from the perspective of the spatial distribution patterns of natural ecosystem integrity, the degree of natural ecosystem integrity of Shennongjia National Park was generally high, with an integrity index value of 96.06, and the proportion of high-integrity areas accounted for 72.38%. The integrity index value of the strict protection zone was 98.83, and the proportion of the low-integrity index area only accounted for 0.01% of the strict protection zone, which was mainly distributed in the main urban areas of the nearby townships and along the highways in the national park, as well as in other areas with intensive anthropogenic activities. (2) From the perspective of the degree of impact of anthropogenic activities on natural ecosystem integrity, population density (0.3344), traffic accessibility (0.2389), traditional utilization activities (0.1101), and industrial and mining activities (0.0095) were, in descending order, the most impactful, and there was no significant correlation between ecotourism activities and natural ecosystem integrity. (3) From the perspective of the impact range of anthropogenic activities on natural ecosystem integrity, traditional utilization activities had the largest impact, accounting for 19.71% of the total area of the national park. The area affected by population density accounted for 1.52%. Industrial and mining activities had an influence of 4.75%, and the area affected by traffic accessibility accounted for 9.28%. Through conducting quantitative research into the integrity of natural ecosystems in Shennongjia National Park, this study provides a new research paradigm for the conservation of natural ecosystems and for the sustainable development of resources in protected areas, which is of great significance for the sensible development of national park conservation and management.

The degradation of ecosystem services (ES) poses a significant obstacle to regional sustainable development. Land-use change is widely recognized as a pivotal factor driving the spatio-temporal dynamics of ES supply and demand. However, the future impact of land-use changes on supply–demand risks remains largely unknown. To fill this knowledge gap, we conducted a study in the Gansu section of the Yellow River Basin. By integrating Cellular Automata (CA) and an enhanced Markov model within the GeoSOS-FLUS framework, we dynamically simulated land-use changes under three scenarios—the Normal Development Scenario (NDS), Ecological Protection Scenario (EPS), and Rapid Socio-economic Development Scenario (RDS)—spanning from 2020 to 2050. Furthermore, we employed the InVEST model to analyze the spatio-temporal pattern of supply, demand, supply-to-demand ratios, and supply–demand risks for water provision, carbon storage, and soil conservation under all scenarios. Firstly, all scenarios project an increase in built-up land, primarily from unused land, shrubland, grassland, and cropland. Forest land and water bodies remain stable. Secondly, water provision increases, but demand grows faster, leading to supply–demand imbalances, with high-risk areas in the north, central, and east. Soil conservation shows balanced supply and demand with high-risk areas in the north. Carbon storage remains stable, with high-risk areas in the central and east regions. Thirdly, high-risk areas for water provision increase under all scenarios, particularly under the Rapid Socio-economic Development scenario.

As natural ecosystems in most parts of the world come under increasing human influence, fragmentation is becoming the major driving factor of the global biodiversity crisis. Therefore, connectivity between habitat patches is becoming even more important. China began building national parks with the primary purpose of protecting nationally representative natural ecosystems and maintaining the integrity of their structure, processes and functions. Research is necessary to improve the internal connectivity of national parks and to propose suggestions for existing functional zoning and biological corridors. In this study, Qianjiangyuan National Park was selected as an example park, and landscape fragmentation was evaluated exponentially and simulated visually. The habitat characteristics of protected species in the region, morphological spatial pattern analysis and the delta of the probability of connectivity were used together to identify key habitat patches and their importance levels in the study area. Potential habitat corridors in the region were then obtained using least-cost path analysis and gravity modeling methods based on the distribution of key habitat and the migration costs of target species. The results of this study show that the disturbed landscape of the study area is dominated by tea plantations and drylands, with central roads being an important factor affecting the overall landscape connectivity. In terms of the distribution of key habitat patches, the mountains have a high value. In terms of area, their size is not directly proportional to their importance for maintaining landscape connectivity in the region, but large area patches are generally of higher importance. In terms of distance, key habitats that are closer to each other have a stronger correlation and a greater possibility for species migration. Combined with the functional zoning of Qianjiangyuan National Park, the setting of strictly protected areas and recreational areas is reasonable, and traditional use areas and ecological conservation areas could be appropriately adjusted according to the distribution of key habitats. The important corridor in the middle of the ecological conservation area is crucial for the overall connectivity of the national park, and the connectivity between strict protected areas will depend on successful protection of the ecological conservation area.

The rapid assessment of the effectiveness of landscape protection in nature reserves is of great significance for the scientific formulation of protection and management countermeasures. There is also an urgent problem to be solved for the construction and management of nature reserves in China. Using high-resolution remote sensing image data, this study analyzes the landscape dynamics in the Liancheng National Nature Reserve (LNNR) and their driving factors since the reserve’s promotion to the national level in 2005, and proposes a comprehensive evaluation method for the effectiveness of landscape protection in protected areas based on the Landscape Transfer Index (LTI), Protected Landscape Integrity Index (PLII), and Interfered Landscape Sprawl Index (ILSI). Between 2006 and 2019, the area of protected landscape—namely woodland, grassland, and water—in the LNNR decreased, while the area of interfered landscape such as residential land, industrial and mining land, and water conservancy facility land increased. The LTI was −0.14, and among the driving factors, the development of industry and mining, land use by indigenous inhabitants, and the development of the transport industry made the highest contributions to the landscape transfer tendency, respectively 34.79%, 28.98%, and 17.30%. The results indicate that the overall quality of the landscape declined slightly during this period, mainly as a result of industrial and mining development, indigenous use of the land, and road construction. The PLII decreased from 82.7 to 68.7; this result indicates that the spatial pattern of the protected landscape became more fragmented, and the degree of human interference in the landscape increased. The ILSI increased from 26.61 to 26.68 which indicates that the scope of influence of human interference did not change significantly. The effectiveness of landscape protection in the LNNR is low. Despite the insignificant nature of these changes, they still require attention and timely remedial measures. The methodology proposed in this study may be applicable to the rapid assessment of the effectiveness of landscape conservation in various types of nature conservation sites around the world.

Background The rapid assessment of the effectiveness of landscape protection in nature reserves is of great significance for the scientific formulation of protection and management countermeasures for nature reserves and is also an urgent problem to be solved for the construction and management of nature reserves in China. Using high-resolution remote sensing image data, this study analyzes the landscape dynamics in the Liancheng National Nature Reserve (LNNR) and their driving factors since the reserve’s promotion to the national level in 2005, and proposes a comprehensive evaluation method for the effectiveness of landscape protection in protected areas based on the Landscape Transfer Index (LTI), Protected Landscape Integrity Index (PLII), and Interfered Landscape Sprawl Index (ILSI). Results Between 2006 and 2019, the area of protected landscape—namely woodland, grassland, and water—in the LNNR decreased, while the area of interfered landscape such as residential land, industrial and mining land, and water conservancy facility land increased. The LTI was − 0.14, and among the driving factors, the development of industry and mining, land use by indigenous inhabitants, and the development of the transport industry made the highest contribution to the landscape transfer tendency, being respectively 34.79%, 28.98%, and 17.30%. The PLII decreased from 82.7 to 68.7 and the ILSI increased from 26.61 to 26.68. Conclusion The effectiveness of landscape protection in the LNNR is low. Between 2006 and 2019, the overall quality of the landscape slightly decreased, the spatial pattern of the protected landscape became more fragmented, and the degree of human interference in the landscape increased; however, the scope of influence of human interference did not change significantly. These changes were mainly due to industrial and mining exploitation, land use by indigenous inhabitants, and road construction. However, despite the insignificant nature of these changes, they still require attention and timely remedial measures. The methodology proposed in this study may be applicable to the rapid assessment of the effectiveness of landscape conservation in various types of nature conservation sites around the world.