A primary challenge impeding the large-scale deployment of direct air capture (DAC) is its high energy consumption, mainly associated with external input to drive process parameter swings (such as temperature, humidity, and CO2 concentration). Environmental parameter exhibits strong spatiotemporal variability, significantly impacting the performance of DAC. By adapting DAC operation with environmental variability, potential energy can be effectively extracted from air, thus lowering the energy demand. Diurnal fluctuations can be leveraged for passive desorption, while intense wind facilitates the passive adsorption, Seasonal and long-term environmental changes necessitate adaptive scheduling and operational optimization to maintain performance. Geographical disparities in climate act as natural energy reservoirs, offering opportunities for region-specific deployment strategies. Particularly, high ambient temperatures enable efficient integration of air-source heat pumps; cold climates suppress water co-adsorption and provide effective condensation; humid regions employ water-source heat pump to recovery excessive condensation heat efficiently; and arid regions, with low humidity, minimize water desorption requirements. Future research should prioritize the practical experimental testing, adaptive control and optimization algorithms, alongside establishing quantitative assessment frameworks to guide climate-specific deployment.