In 1995, Daniel Pauly identified a "shifting baselines syndrome" (SBS). Pauly was concerned that scientists measure ecosystem change against their personal recollections of the past and, based on this decidedly short-term view, mismanage fish stocks because they tolerate gradual and incremental elimination of species and set inappropriate recovery goals. As a concept, SBS is simple to grasp and its logic is compelling. Much current work in marine historical ecology is rationalized in part as a means of combating SBS, and the term has also resonated outside of the academy with environmental advocacy groups. Although we recognize both conceptual and operational merit in SBS, we believe that the ultimate impact of SBS on ocean management will be limited by some underlying and interrelated problematic assumptions about ecology and human-environment relations, and the prescriptions that these assumptions support. In this paper, we trace both assumptions and prescriptions through key works in the SBS literature and interrogate them via ecological and social science theory and research. We argue that an expanded discussion of SBS is needed, one that engages a broader range of social scientists, ecologists, and resource users, and that explicitly recognizes the value judgments inherent in deciding both what past ecosystems looked like and whether or not and how we might reconstruct them.
Marine and coastal ecosystems provide important benefits and services to coastal communities across the globe, but assessing the diversity of social relationships with oceans can prove difficult for conservation scientists and practitioners. This presents barriers to incorporating social dimensions of marine ecosystems into ecosystem‐based planning processes, which can in turn affect the success of planning and management initiatives. Following a global assessment of social research and related planning practices in ocean environments, we present a step‐by‐step approach for natural resource planning practitioners to more systematically incorporate social data into ecosystem‐based ocean planning. Our approach includes three sequential steps: (1) develop a typology of ocean‐specific human uses that occur within the planning region of interest; (2) characterize the complexity of these uses, including the spatiotemporal variability, intensity, and diversity thereof, as well as associated conflicts and compatibility; and (3) integrate social and ecological information to assess trade‐offs necessary for successful implementation of ecosystem‐based ocean planning. We conclude by showing how systematic engagement of social data – together with ecological information – can create advantages for practitioners to improve planning and management outcomes.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.