A key challenge in aquatic restoration efforts is documenting locations where ecological connectivity is disrupted in water bodies that are dammed or crossed by roads (road crossings). To prioritize actions aimed at restoring connectivity, we argue that there is a need for systematic inventories of these potential barriers at regional and national scales. Here, we address this limitation for the North American Great Lakes basin by compiling the best available spatial data on the locations of dams and road crossings. Our spatial database documents 38 times as many road crossings as dams in the Great Lakes basin, and case studies indicate that, on average, only 36% of road crossings in the area are fully passable to fish. It is therefore essential that decision makers account for both road crossings and dams when attempting to restore aquatic ecosystem connectivity. Given that road crossing structures are commonly upgraded as part of road maintenance, many opportunities exist to restore connections within aquatic ecosystems at minimal added cost by ensuring upgrade designs permit water flow and the passage of fish and other organisms. Our findings highlight the necessity for improved dam and road crossing inventories that traverse political boundaries to facilitate the restoration of aquatic ecosystem connectivity from local to global scales.

Moon, K., T. D. Brewer, S. R. Januchowski-Hartley, V. M. Adams, and D. A. Blackman. 2016. A guideline to improve qualitative social science publishing in ecology and conservation journals. Ecology and Society 21(3):17.http://dx.doi.org/10.5751/ES-08663-210317

There are millions of river barriers worldwide, ranging from wooden locks to concrete dams, many of which form associated impoundments to store water in small ponds or large reservoirs. Besides their benefits, there is growing recognition of important environmental and social trade-offs related to these artificial structures. However, global datasets describing their characteristics and geographical distribution are often biased towards particular regions or specific applications, such as hydropower dams affecting fish migration, and are thus not globally consistent. Here, we present a new river barrier and reservoir database developed by the Global Dam Watch (GDW) consortium that integrates, harmonizes, and augments existing global datasets to support large-scale analyses. Data curation involved extensive quality control processes to create a single, globally consistent data repository of instream barriers and reservoirs that are co-registered to a digital river network. Version 1.0 of the GDW database contains 41,145 barrier locations and 35,295 associated reservoir polygons representing a cumulative storage capacity of 7,420 km³ and an artificial terrestrial surface water area of 304,600 km².

The Special Feature led by Sutherland, Dicks, Everard, and Geneletti (Methods Ecology and Evolution, 9, 7–9, 2018) sought to highlight the importance of “qualitative methods” for conservation. The intention is welcome, and the collection makes many important contributions. Yet, the articles presented a limited perspective on the field, with a focus on objectivist and instrumental methods, omitting discussion of some broader philosophical and methodological considerations crucial to social science research. Consequently, the Special Feature risks narrowing the scope of social science research and, potentially, reducing its quality and usefulness. In this article, we seek to build on the strengths of the articles of the Special Feature by drawing in a discussion on social science research philosophy, methodology, and methods. We start with a brief discussion on the value of thinking about data as being qualitative (i.e., text, image, or numeric) or quantitative (i.e., numeric), not methods or research. Thinking about methods as qualitative can obscure many important aspects of research design by implying that “qualitative methods” somehow embody a particular set of assumptions or principles. Researchers can bring similar, or very different, sets of assumptions to their research design, irrespective of whether they collect qualitative or quantitative data. We clarify broad concepts, including philosophy, methodology, and methods, explaining their role in social science research design. Doing so provides us with an opportunity to examine some of the terms used across the articles of the Special Feature (e.g., bias), revealing that they are used in ways that could be interpreted as being inconsistent with their use in a number of applications of social science. We provide worked examples of how social science research can be designed to collect qualitative data that not only understands decision‐making processes, but also the unique social–ecological contexts in which it takes place. These examples demonstrate the importance of coherence between philosophy, methodology, and methods in research design, and the importance of reflexivity throughout the research process. We conclude with encouragement for conservation social scientists to explore a wider range of qualitative research approaches, providing guidance for the selection and application of social science methods for ecology and conservation.