Mountainous cultural landscapes, characterized by fragmented heritage sites, present significant challenges for integrated conservation and regional planning. Taking the Mount Song Culture Circle in Dengfeng City, China—a World Heritage site embodying the core of Chinese ritual civilization—as a case study, this study proposes an adaptive minimum cumulative resistance (MCR) gravity model to optimize heritage corridor resilience against spatial fragmentation and development imbalances. Based on a spatial database of 294 cultural relic units, the adaptive model introduces a dynamic cultural value weight (CVIndex = 0.82) and a time decay function (λ = 0.05) to capture the interplay between cultural significance and ecological constraints—features absent in traditional static approaches. The model identifies three optimized heritage corridor networks—”Seeking Wisdom in the Mountains”, “Searching for Culture in the Landscape”, and “Exploring the City Along the River.” Compared with a traditional static MCR model (αindex = 0.42; core area node density = 0.74 nodes/km²), the adaptive approach improves network connectivity by 37% (α-index = 0.58, p < 0.01) and increases core area heritage node density to 1.12/km². Space syntax analysis further confirms that optimized network integration values strongly correlate with cultural dissemination efficiency (R² = 0.78, p < 0.01, n = 48). This research offers a methodological innovation for resilient conservation of complex cultural landscapes in World Heritage contexts.

As complex socio-ecological systems, cultural landscapes face increasing challenges under climate change. Taking the Eight Scenic Spots of Mount Song in Henan Province, China as a case study, this research examines meteorological–cultural genes as integrated expressions of meteorological conditions, cultural meanings, and human perception. Historical texts, meteorological observations, and tourist surveys were analyzed within the framework of landsenses ecology. Historical materials were coded using NVivo, while meteorological and perceptual indicators were standardized and weighted through the entropy-weight method. A dynamic coupling coordination model was then applied to evaluate interactions between meteorological conditions and multisensory landscape perception. The study identified astronomical-calendar, microclimate-adaptation, poetic–symbolic, and ritual–spatial genes. The results reveal strong climate–perception interactions but comparatively weaker coordination, indicating that environmental sensitivity does not necessarily translate into effective climate adaptability. Based on these findings, a meteorological–sensory dynamic coupling framework and a threshold-responsive management pathway are proposed to support gene identification, climate-risk diagnosis, and differentiated adaptive intervention. The study provides a methodological and practical basis for maintaining cultural expression, multisensory experience, and landscape resilience under climate change.