Citizen science is a rapidly growing field with well-designed and run citizen science projects providing substantial benefits for conservation and management. Marine citizen science presents a unique set of challenges and lags behind terrestrial citizen science, but also provides significant opportunities to work in data-poor fisheries. This paper analyses case studies of citizen science projects developed in collaboration with smallscale fishing communities in Mexico's Pacific Ocean, Gulf of California and Caribbean Sea. The design and performance of these projects were evaluated against the previously published Ten Principles of Citizen Science, and Scientific Stages of Inquiry. Our results suggest that fisheries monitoring, submarine monitoring of no take zones, oceanographic monitoring, and the use of species identification apps by fishers meet the requirements of the published guidelines and are effective tools for involving the small-scale fishing community in science. Translating effective citizen science projects in to effective fishery management, however, is still at an early stage. Whilst citizen science data have been used locally by communities to adapt fishing practices, calculate recommendations for total allowable catches, establish and evaluate no take zones and detect range extensions of species affected by climate change, challenges remain regarding how to garner official recognition for the data, incorporate these growing sources of data into national policy, and use the data for adaptive management regimes at the national level.
Marine reserves are implemented to achieve a variety of objectives, but are seldom rigorously evaluated to determine whether those objectives are met. In the rare cases when evaluations do take place, they typically focus on ecological indicators and ignore other relevant objectives such as socioeconomics and governance. And regardless of the objectives, the diversity of locations, monitoring protocols, and analysis approaches hinder the ability to compare results across case studies. Moreover, analysis and evaluation of reserves is generally conducted by outside researchers, not the reserve managers or users, plausibly thereby hindering effective local management and rapid response to change. We present a framework and tool, called “MAREA”, to overcome these challenges. Its purpose is to evaluate the extent to which any given reserve has achieved its stated objectives. MAREA provides specific guidance on data collection and formatting, and then conducts rigorous causal inference analysis based on data input by the user, providing real-time outputs about the effectiveness of the reserve. MAREA’s ease of use, standardization of state-of-the-art inference methods, and ability to analyze marine reserve effectiveness across ecological, socioeconomic, and governance objectives could dramatically further our understanding and support of effective marine reserve management.
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