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.
| Original language | English (US) |
|---|---|
| Article number | e70125 |
| Journal | Journal of Environmental Quality |
| Volume | 55 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jan 1 2026 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
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SDG 13 Climate Action
All Science Journal Classification (ASJC) codes
- Environmental Engineering
- Water Science and Technology
- Waste Management and Disposal
- Pollution
- Management, Monitoring, Policy and Law
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