Mapping connectivity and conservation opportunity on agricultural lands across the conterminous United States
O_LIDepending on management practices, agricultural lands can either pose substantial barriers to the movement of native species or can support landscape connectivity by linking areas of high-quality habitat. Balancing connectivity and sustainable food production on agricultural lands is critical to conservation in the conterminous United States (CONUS) where agriculture makes up close to half of total land area. However, limited guidance exists on where to target conservation resources to maximize benefits for native species and food security. C_LIO_LITo quantify the potential contribution of agricultural lands to the movement of organisms, we developed a novel method for estimating agricultural management intensity (based on remotely sensed temporal variation in vegetation cover on croplands and pastures) and incorporated these estimates into a CONUS-wide, circuit-theory based model of ecological flow connectivity. We then combined our connectivity results with data on the productivity, versatility, and resilience of agricultural lands (PVR) to identify conservation opportunities that support both biodiversity and food production. C_LIO_LIThe highest levels of connectivity on agricultural lands occurred on relatively unmodified rangelands and on cropland and pasture in close proximity to large amounts of natural land cover. C_LIO_LIMapping connectivity and PVR across CONUS revealed 10.2 Mha of agricultural lands (2.7%) with high value for both connectivity and food production, as well as large amounts of agricultural land (>140 Mha in total) with high value for either cultivation or supporting biodiversity (e.g., through ecological restoration). C_LIO_LIDrawing on these findings, we provide recommendations on the types of conservation approaches most suitable for a given agricultural system and link these recommendations to specific government incentive programs. To help facilitate conservation planning based on our results, we have developed an interactive web application, allowing users to visualize the spatial data developed here within their regions of interest. C_LI