Abstract This study develops a micro‐level Ricardian model to assess how long‐run climate patterns affect agricultural land values across the urban–rural gradient in the Chesapeake Bay Watershed. Using an 8‐km gridded dataset that combines farmland prices, high‐resolution climate data, and urban land cover, the analysis shows that seasonal temperature and precipitation affect land values nonlinearly, and urbanization significantly moderates the effects of precipitation. A climate simulation suggests heterogeneous impacts across urban grids. Our findings highlight the critical role of urban land cover in shaping climate adaptation strategies, offering new insights into how transitional urban‐agricultural regions respond to climate stress. These results provide actionable guidance for policymakers seeking to enhance agricultural resilience in the face of continued urban expansion.
Hua et al. (Thu,) studied this question.
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