Title: Biodiversity data needs for conservation decision support
Brief notes: Conservation decision support, particularly relevant for biodiversity data brainstorming. For decision support, good data on conservation costs and benefits (i.e., biodiversity responses) are necessary and more often than not, this type of data is usually difficult to acquire.
Bio: Dr. Gwen Iacona is an applied conservation scientist who uses quantitative and empirical approaches to understand how biodiversity outcomes can be improved by better decision making. Her current work aims to improve endangered species recovery by better understanding the risks and costs associated with recovery planning. Gwen specializes in using theoretical tools to study how the costs of conservation interventions influence the choice of actions and the resulting outcomes for conservation agencies. Past projects include predicting invasive plant cover, modelling protected area effectiveness, and prioritizing conservation action. Gwen currently is a post-doctoral research fellow at the Center for Biodiversity Outcomes at Arizona State University where she is working with Professor Leah Gerber. She has a PhD from the University of Tennessee, where she studied with Professor Paul Armsworth, and an MS from the University of Florida.