UNIVERSITY PARK, Pa. — Using site-specific watershed data to determine the most cost-effective agricultural best management practices — rather than requiring all the recommended practices be implemented across the entire watershed — could make staying below the Chesapeake Bay’s acceptable pollution load considerably less expensive.
That’s the conclusion of a novel, five-year study conducted by an interdisciplinary team of Penn State and U.S. Department of Agriculture researchers, who modeled and compared runoff and pollution from Spring Creek watershed in central Pennsylvania under two scenarios: using all of the best management practices ( BMPs) identified for a watershed and a customized, most cost-effective set of BMPs tailored for Spring Creek watershed.
One of the criticisms of the U.S. Environmental Protection Agency’s Chesapeake Bay model is that it is too “coarse” in its simulation of all of the landscapes that have runoff and drainage from agriculture, explained Heather Karsten, associate professor of crop production and ecology in the College of Agricultural Sciences.
She noted that the current policy approach does not capture fine-scale features of landscapes, nor does it identify the most cost-effective BMPs to most efficiently protect water quality by reducing sediment and nutrient loss.