In the United States, 60% of the landscape is privately owned. Our research advances the understanding of conservation decision-making across private lands. We integrate spatial data science, remote sensing, policy analysis, and socio-ecological insights to examine how property characteristics, land use systems, and policy incentives shape conservation outcomes across the urban-rural gradient. Our work informs strategies that recognize and support existing stewardship on diverse private lands.
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| Dennis, C., T.J., Lark and H.K. Gibbs. 2025. "Spatial data science for private land conservation". Under Review. |