Decoding Meteorological–Cultural “Landscape Genes” Through Human Perception: Adaptive Land Management for the Heritage of Mount Song, Henan Province, China

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.