Linking Science to On-the-Ground Recovery: A Case Study on the Southern Distinct Population Segment of the North American Green Sturgeon (Acipenser medirostris)

The Endangered Species Act (ESA) imposes an accelerated timeline on the decision making process for conservation and recovery efforts for the multiple anadromous fish species that inhabit Pacific coast streams, estuaries, and near coastal habitats.  This accelerated time line, when combined with data-poor situations, presents significant challenges to those charged with conserving and recovering endangered and threatened species.  While the ESA establishes the framework for recovering listed species, the pathway to achieving conservation and recovery goals is species-dependent and relies on incomplete data.  Using the Southern Distinct Population Segment (DPS) of the North American green sturgeon (Acipenser medirostris) as a case study, we examine a variety of methods and data sources that can help decision makers assess threats, protect habitat, and prioritize conservation and restoration efforts.  We discuss the use of predictive modeling, empirical data, qualitative and socioeconomic information and threats assessment for ESA-driven decision making.  We provide examples of how to apply these methods and data sources in establishing critical habitat areas, managing fisheries, and directing restoration of historic spawning areas.  Based on the lessons learned, we propose a conceptual model for guiding future decision making.