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Finding balance between the needs of people and wildlife is an essential component of planning sustainable landscapes. Because mammals make up a diverse and ecologically important taxon with varying responses to human disturbance, we used representative mammal species to examine how alternative land-use policies might affect their habitats and distributions in the near future. We used wildlife detections from camera traps at 1591 locations along a large-scale urban to wild gradient in northern Virginia, to create occupancy models which determined land cover relationships and the drivers of contemporary mammal distributions. From the 15 species detected, we classified five representative species into two groups based on their responses to human development; sensitive species (American black bears and bobcats) and synanthropic species (red foxes, domestic cats, and white-tailed deer). We then used the habitat models for the representative species to predict their distributions under four future planning scenarios based on strategic versus reactive planning and high or low human population growth. The distributions of sensitive species did not shrink drastically under any scenario, whereas the distributions of synanthropic species increased in response to anthropogenic development, but the magnitude of the response varied based on the projected rate of human population growth. This is likely because most sensitive species are dependent on large, protected public lands in the region, and the majority of projected habitat losses should occur in non-protected private lands. These findings illustrate the importance of public protected lands in mitigating range loss due to land use changes, and the potential positive impact of strategic planning in further mitigating mammalian diversity loss in private lands. mammal diversity and distribution data [14,15]. Despite the increasing availability of wildlife data, few studies have integrated these data to map the distributions of mammal species in regions undergoing expansive land changes [12,16]. These projected species distribution models can then be used to predict range shifts in response to future landscape scenarios, such as those projected under climate change [17,18]. Contemporary biodiversity data provide valuable snapshots of mammal distributions, but they have not been applied to projections of land cover change to forecast community distributions in the future. These predictions would be informative to stakeholders, as they coordinate and select planning policies to preserve biodiversity and their associated ecosystem services.We projected changes in a suite of habitat-relevant land cover types for a rapidly changing landscape in northern Virginia under four different scenarios that varied in policy to plan development strategically (e.g., urban centralized) or reactively (e.g., sprawling) over the next 50 years, while accounting for differences in the rate of human population growth [19]. Scenario planning is a strategic planning approach whereby alternate storyl...

This case study describes the application of a framework for developing stakeholder-driven scenarios of the future. The purpose of these scenarios is to inform land use planning toward the protection of ecosystems and derivable ecosystem services in Northwestern Virginia. We held two scenario development workshops with regional experts in conservation, agriculture, land use planning, policy, and economic development to create scenarios of land use in the northern Piedmont and northern Shenandoah Valley of Virginia. We structured the workshops around a framework that guided stakeholders through several steps eventually resulting in four unique scenarios describing the region in 50 years. Scenario narratives were defined by the intersection of highly influential and uncertain drivers of change relevant to land use planning and ecosystem services. Participants from the northern Shenandoah Valley region selected population growth and climate change adaptation as their scenario defining drivers, while participants from the northern Piedmont region selected planning strategy and climate change impact as their scenario defining drivers. Participants fleshed out scenarios into descriptive narratives that incorporated qualitative and quantitative measures of change. Details from the scenario narratives informed land use change models to further quantify tradeoffs between land use planning decisions and ecosystem services. Individuals interested in using scenario planning to guide research efforts, conservation, or land use planning, or even to broaden perspectives on how to view the future, will find value in this case study.

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