Indicators of unsustainable fishery in the Middle Danube |
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Authors: | Ivan Jarić Marija Smederevac‐Lalić Katarina Jovičić Milica Jaćimović Gorčin Cvijanović Mirjana Lenhardt Aleksandar Kalauzi |
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Affiliation: | 1. Institute for Multidisciplinary Research, University of Belgrade, Belgrade, Serbia;2. Institute for Biological Research, University of Belgrade, Belgrade, Serbia |
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Abstract: | Fishery in the Danube River basin has been characterised over the past century by increasing fishing levels, illegal fishing practices and poor regulations. However, there is a remarkable lack of available information on the actual status of fish stocks, as well as on the trends and sustainability of fisheries, which poses a problem for the development of adequate policy and management measures. In this study, we assessed the trends in the commercial fishery in the Middle Danube in Serbia during 1969–1989 and 2006–2010 by evaluating the temporal changes in life history‐related indicators that might point out unsustainable fishing pressures. Moreover, we present the approach of using the catch‐weighted mean egg‐per‐recruit (EPR) index as a proxy for the overall resilience of fish stocks to fishing. Results indicated a marked shift towards smaller fish that mature earlier and have a shorter lifespan. Landings also shifted towards species at lower trophic levels, with a mean trophic level decline at a rate of approximately 0.16 per decade. Results indicated likely presence of the ‘fishing through the food web’ phenomenon. At the same time, catch‐weighted community mean of the 20% EPR threshold ratio (EPR20%) increased by 4.2%, indicating the increase of the overall resilience to fishing of the exploited species. Obtained results indicated the importance of using such metrics for the assessments of trends in fishery. The approach and results presented here could be of interest for the scientific community and stakeholders involved in fishery management. |
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Keywords: | life history trait population model mean trophic level trend overfishing |
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