Ecosystem-based management requires an assessment of the cumulative effects of human pressures and environmental change. The operationalization and integration of cumulative effects assessments (CEA) into decision-making processes often lacks a comprehensive and transparent framework. A risk-based CEA framework that divides a CEA in risk identification, risk analysis and risk evaluation, could structure such complex analyses and facilitate the establishment of direct science-policy links. Here, we examine carefully the operationalization of such a risk-based CEA framework with the help of eleven contrasting case studies located in Europe, French Polynesia, and Canada. We show that the CEA framework used at local, sub-regional, and regional scales allowed for a consistent, coherent, and transparent comparison of complex assessments. From our analysis, we pinpoint four emerging issues that, if accurately addressed, can improve the take up of CEA outcomes by management: 1) framing of the CEA context and defining risk criteria; 2) describing the roles of scientists and decision-makers; 3) reducing and structuring complexity; and 4) communicating uncertainty. Moreover, with a set of customized tools we describe and analyze for each case study the nature and location of uncertainty as well as trade-offs regarding available knowledge and data used for the CEA. Ultimately, these tools aid decision-makers to recognize potential caveats and repercussions of management decisions. One key recommendation is to differentiate CEA processes and their context in relation to governance advice, marine spatial planning or regulatory advice. We conclude that future research needs to evaluate how effective management measures are in reducing the risk of cumulative effects. Changing governance structures takes time and is often difficult, but we postulate that well-framed and structured CEA can function as a strategic tool to integrate ecosystem considerations across multiple sectorial policies.
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RBINS Staff Publications 2020
The African Lake Tanganyika clupeids play an important role in the lake's ecosystem and have a high regional economic and nutritional value. Using DNA metabarcoding, we analysed the prey item composition and microbiome of these two clupeid species, Stolothrissa tanganicae and Limnothrissa miodon. We sequenced the mitochondrial COI region of the gut content for prey analysis and the 16S rRNA region of the hindgut content for microbiome analysis of 140 fish sampled at five locations across Lake Tanganyika. Our research confirmed previously reported prey items and discovered prey items that were not reported before, including the jellyfish Limnocnida tanganjicae. The hindgut of the fish harboured 15 bacterial phyla, with the most common being Firmicutes and Proteobacteria. The two clupeid species differed in diet, but not in microbiome. Further, the diet of S. tanganicae, but not its microbiome, varied on a spatial scale, whereas the microbiome, but not the diet, of L. miodon showed spatial variation. Our findings suggest that the Lake Tanganyika clupeids are opportunists, with a diet reflecting the local zooplankton community's composition. These results can serve as a useful reference for monitoring the health status of economically important fish stocks.
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RBINS Staff Publications 2023
