Escalating human–land conflicts have exacerbated ecosystem degradation, threatening regional sustainable development. As the largest sandy land in China, the Horqin Sandy Land (HSL) in eastern Inner Mongolia exhibits high ecological fragility. Delineating ecological restoration zones (ERZ) is critical to transition from localized restoration to system-wide stability, thereby enhancing regional ecological security, which reflects ecosystem health and integrity. Ecological security patterns (ESP), as spatial configurations that support and maintain ecological security, serve as the foundational framework for ERZ planning. Unlike conventional applications of InVEST and MSPA, this study integrates an ecosystem service assessment with morphological spatial pattern analysis (MSPA) under a “Source–Resistance–Corridor–Note” paradigm to develop a novel “ecological network–zoning” approach. This framework transforms ecological connectivity analysis into actionable restoration zoning, bridging theoretical ESP construction with practical management needs. Key findings include the following: (1) In total, 76 vital ecological source regions were mapped, representing about 10,204.38 km² of ecologically significant land, with primary distribution in the northwestern mountainous regions; (2) A total of 169 ecological corridors were extracted, spanning 4071.94 km in length. Ecological pinch points with 239.91 km² and barrier points with 568.85 km² were systematically identified; (3) A “Five Zones, Three Belts, One Core” spatial strategy was proposed, aligning with regional ecological conditions and development goals. This study provides a transferable methodology for ecosystem restoration in global arid and semi-arid regions, bridging theoretical frameworks with actionable zoning practices.

Systematic biodiversity and ecosystem service (ES) conservation is vital for ecological sustainability and human well-being. This study combines MaxEnt, Zonation, InVEST, and MSPA models to identify Conservation Priority Areas (CPAs) in the Wujiang River Basin (WJRB), integrating biodiversity hotspots, ESs, and landscape connectivity. Results reveal CPAs span 1.13 × 10⁴ km² (primarily downstream), but existing natural reserves (NRs) cover only 24.86% of these critical zones, leaving over 75% unprotected in this region. Current NRs occupy 0.62 × 10⁴ km², with 5.82% of the basin (mainly upstream) available for targeted expansion. Spatial analysis reveals mismatches, such as some NRs protecting low-value ecological areas, resulting in imbalanced coverage. Expanding NRs across the board is less effective than adjusting protection scope or management strategies in areas of spatial mismatch, based on identified CPAs. This can involve establishing new reserves and appropriately relaxing land-use restrictions to allow compatible activities within them. New conservation planning should prioritize large, interconnected CPA regions to enhance landscape coherence. Simultaneously, integrating ecological compensation mechanisms can align protection goals with local livelihood improvements, fostering community engagement. This approach addresses critical gaps and enhances conservation efficiency by strategically directing resources toward high-value, vulnerable ecosystems. The methodology offers a replicable framework for balancing ecological preservation and human needs in river basin management.

A scientifically robust evaluation system for ecological products value realisation is urgently needed in China. Approaches that rely solely on objective indicators face significant challenges due to data limitations and regional heterogeneity. This study innovatively constructed an experts’ perceived effectiveness evaluation scale for ecological products value realisation, establishing a dual mechanism of “objective data + expert experience calibration” and covering the entire chain of “ecological background–economic conversion–social well-being–benefit feedback”. This framework was applied to the Beijing–Tianjin–Hebei (BTH) region, with results indicating that the perceived effectiveness index for value realisation of material-supply-oriented ecological products (MSEPs), regulatory service-oriented ecological products (RSEPs), and cultural service-oriented ecological products (CSEPs) was 0.7054, 0.6482, and 0.6052, respectively. Significant regional differences exist. Beijing holds a central and leading role, while effectiveness in the northern mountainous areas of Hebei Province is stronger than in the central and southern regions. Regions with weaker performance should prioritise leadership strategies over comprehensive development, as disparities arising from regional differentiation call for more sophisticated coordination mechanisms. The study offers new insights for policy decision-making and optimisation, enhancing both the applicability and precision of evaluation methods. Nonetheless, the designed scales remain exploratory and warrant verification through a broader empirical basis.

The prevention and control of desertification in northern China is currently in a critical stage of transitioning from large-scale governance to precise adaptation. Identifying potential risk areas during the ecological restoration process is a scientific prerequisite for achieving long-term governance. This study focuses on the typical ecologically fragile area of Ordos City, where high-resolution grazing pressure grid data and a night-time light index were innovatively integrated into the assessment system to develop a desertification sensitivity evaluation framework that couples climatic, vegetative, soil, and human activity (CVSH) factors. Compared to linear models, the CVSH framework enhances dynamic assessment accuracy by coupling human activity indicators, particularly addressing the policy lag effect inherent in PSR models. The study systematically tracked the temporal and spatial differentiation process of desertification sensitivity from 2000 to 2024, finding that the spatial pattern shows a significant “the west is high while the east is low” concentration, and the time series has experienced a phased turning point of “first suppression then growth”. Mechanism analysis indicates that climate aridification and vegetation degradation are the dominant stress factors, while intense human activities have significantly exacerbated the vulnerability of local ecosystems through nonlinear interactions, leading to the re-expansion of high-sensitivity zones after 2018, with their area proportion increasing sharply from 15.52% to 30.07%. This study reveals the fragility of ecological engineering effectiveness and the complexity of risk evolution under the combined influence of climate fluctuations and human interference, providing a direct scientific picture and decision support for achieving differentiated ecological risk management and sustainable land management in different regions.