Derelict abandoned, lost and discarded fishing gear have profound adverse effects. We assessed gear-specific relative risks from derelict gear to rank-order fishing methods based on: derelict gear production rates, gear quantity indicators of catch weight and fishing grounds area, and adverse consequences from derelict gear. The latter accounted for ghost fishing, transfer of microplastics and toxins into food webs, spread of invasive alien species and harmful microalgae, habitat degradation, obstruction of navigation and in-use fishing gear, and coastal socioeconomic impacts. Globally, mitigating highest risk derelict gear from gillnet, tuna purse seine with fish aggregating devices, and bottom trawl fisheries achieves maximum conservation gains. Locally, adopting controls following a sequential mitigation hierarchy and implementing effective monitoring, surveillance and enforcement systems are needed to curb derelict gear from these most problematic fisheries. Primary and synthesis research are priorities to improve future risk assessments, produce the first robust estimate of global derelict gear quantity, and assess the performance of initiatives to manage derelict gear. Findings from this first quantitative estimate of gear-specific relative risks from derelict gear guide the allocation of resources to achieve the largest improvements from mitigating adverse effects of derelict gear from the world’s 4.6 million fishing vessels.
1. Overfishing, exacerbated by illegal, unreported, and unregulated (IUU) fishing, is a serious threat to the conservation of the Caspian sturgeon populations, exposing them to the brink of extinction. This indicates the importance of investigating the causes and eliminating the consequences of the occurrence of IUU fishing.2. This study aimed to determine the barriers to sturgeon conservation, and to evaluate the importance of variables involved in the occurrence of IUU fishing in the southern Caspian Sea using field-and questionnaire-based surveys of 520 Iranian fishers and 40 fishery experts.3. Modelling the data using the Logit regression model indicated that several social, economic, conservation, and fishery-related variables (including fisheries knowledge, fish price, fishing method, fishing time, catch/vessel ownership, conservation importance, and penalty awareness) significantly contributed to the occurrence of illegal fishing. Fishers with poorer fisheries knowledge who owned fishing vessels were more likely to be involved in IUU fishing. In addition, fishers who were less concerned about sturgeon conservation and who used non-standard fishing gear at night had a higher probability of committing IUU fishing. 4. Exploring the opinions of fishery experts through the analytical hierarchy process also showed that economic, social, fishing, and conservation criteria were respectively attributed the highest weights as the contributing criteria to the occurrence of IUU fishing. 5. Overall, close associations were observed between the range of determinants, with the probability of the occurrence of IUU fishing indicating that illegal fishing is a complex event that should be studied in different dimensions because of the involvement of a combination of drivers. The knowledge obtained here can assist the relevant agencies in preventing this widespread problem, and with the practical rebuilding and more efficient conservation planning of sturgeon stocks.
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