FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2897542866> ?p ?o ?g. }

• W2897542866 endingPage "229" @default.
• W2897542866 startingPage "218" @default.
• W2897542866 abstract "Fishing has long been considered the most impactful human activity on the marine ecosystem. To adopt ecosystem-based fisheries management (EBFM) requires consideration of all human impacts, not just those of fishing. The ODEMM (Options for Delivering Ecosystem-based Marine Management) approach provides an integrated ecosystem assessment that is a flexible, cost-efficient and expert-based. The framework traces the sectors affecting the marine environment, the pressures they create, and the ecological characteristics affected. This research presents the first application of the ODEMM framework outside of the ODEMM project, completed for Ireland’s marine waters. The assessment places fishing in the context of other anthropogenic pressures and highlights areas of threat to Marine Strategy Framework Directive (MSFD) descriptors. From 1874 impact chains, just 59 (44 of which were attributed to the fishing sector) account for 64% of the Total Risk score, highlighting areas for management action with a high risk-reduction return. Of the sectors, The analysis showed Waste Water to have the highest average risk of all sectors, followed by Land-based Industry, Fishing and then Shipping. In terms of total risk, Fishing was the most important sector, due to its high connectance to many ecosystem components and widespread influence, even though many of the impacts are relatively low and the components impacted show a high degree of recoverability. Litter was identified as the pressure with the highest total risk scores (average and summed) due to its persistence, and widespread reach. Among the ecological characteristics, deep water habitats that have low resilience to pressures showed the highest average total risk, yet the highest impact risks were for ecological characteristics that were closer to land and were impacted more frequently. These conclusions highlight the importance of context and interpretation in the analysis. The impact chains were further linked through to the MSFD environmental status descriptors, indicating Biological Diversity and Food Webs as the descriptors most at risk, followed by Sea-floor Integrity. As the first independent application of the method, issues arose with interpretation of some categories and definitions, and some modifications are discussed. Overall, this has proven a valuable exercise for helping to identify management priorities. The analysis presented provides useful context for EBFM and a basis for decision making and trade-off analysis for Ireland. The ODEMM framework employed offers a comprehensive, adaptable, globally-applicable tool to guide ecosystem management and the decision-making process, by highlighting risk areas and priorities for management action and research." @default.
• W2897542866 created "2018-10-26" @default.
• W2897542866 creator A5023845774 @default.
• W2897542866 creator A5059369425 @default.
• W2897542866 creator A5063470604 @default.
• W2897542866 creator A5070708781 @default.
• W2897542866 creator A5082997065 @default.
• W2897542866 creator A5083526805 @default.
• W2897542866 date "2019-01-01" @default.
• W2897542866 modified "2023-10-16" @default.
• W2897542866 title "Integrated ecosystem analysis in Irish waters; Providing the context for ecosystem-based fisheries management" @default.
• W2897542866 cites W1100768984 @default.
• W2897542866 cites W1513136390 @default.
• W2897542866 cites W1543409689 @default.
• W2897542866 cites W1986212024 @default.
• W2897542866 cites W1989289334 @default.
• W2897542866 cites W1995684483 @default.
• W2897542866 cites W2051208206 @default.
• W2897542866 cites W2057332804 @default.
• W2897542866 cites W2066441892 @default.
• W2897542866 cites W2087183001 @default.
• W2897542866 cites W2089673780 @default.
• W2897542866 cites W2094953874 @default.
• W2897542866 cites W2103751892 @default.
• W2897542866 cites W2110310854 @default.
• W2897542866 cites W2116305548 @default.
• W2897542866 cites W2124419696 @default.
• W2897542866 cites W2124565737 @default.
• W2897542866 cites W2124718796 @default.
• W2897542866 cites W2126812600 @default.
• W2897542866 cites W2130491850 @default.
• W2897542866 cites W2146726559 @default.
• W2897542866 cites W2153087638 @default.
• W2897542866 cites W2161009568 @default.
• W2897542866 cites W2163492266 @default.
• W2897542866 cites W2168438691 @default.
• W2897542866 cites W2286380963 @default.
• W2897542866 cites W2291735052 @default.
• W2897542866 cites W2507936307 @default.
• W2897542866 cites W2529041245 @default.
• W2897542866 cites W2581597846 @default.
• W2897542866 cites W2601315556 @default.
• W2897542866 cites W2787627929 @default.
• W2897542866 cites W2794228687 @default.
• W2897542866 cites W2795275580 @default.
• W2897542866 doi "https://doi.org/10.1016/j.fishres.2018.09.023" @default.
• W2897542866 hasPublicationYear "2019" @default.
• W2897542866 type Work @default.
• W2897542866 sameAs 2897542866 @default.
• W2897542866 citedByCount "22" @default.
• W2897542866 countsByYear W28975428662019 @default.
• W2897542866 countsByYear W28975428662020 @default.
• W2897542866 countsByYear W28975428662021 @default.
• W2897542866 countsByYear W28975428662022 @default.
• W2897542866 countsByYear W28975428662023 @default.
• W2897542866 crossrefType "journal-article" @default.
• W2897542866 hasAuthorship W2897542866A5023845774 @default.
• W2897542866 hasAuthorship W2897542866A5059369425 @default.
• W2897542866 hasAuthorship W2897542866A5063470604 @default.
• W2897542866 hasAuthorship W2897542866A5070708781 @default.
• W2897542866 hasAuthorship W2897542866A5082997065 @default.
• W2897542866 hasAuthorship W2897542866A5083526805 @default.
• W2897542866 hasBestOaLocation W28975428662 @default.
• W2897542866 hasConcept C107826830 @default.
• W2897542866 hasConcept C110872660 @default.
• W2897542866 hasConcept C134037308 @default.
• W2897542866 hasConcept C144133560 @default.
• W2897542866 hasConcept C151152651 @default.
• W2897542866 hasConcept C153294291 @default.
• W2897542866 hasConcept C166957645 @default.
• W2897542866 hasConcept C185933670 @default.
• W2897542866 hasConcept C18903297 @default.
• W2897542866 hasConcept C202041845 @default.
• W2897542866 hasConcept C205649164 @default.
• W2897542866 hasConcept C2776023875 @default.
• W2897542866 hasConcept C2777610350 @default.
• W2897542866 hasConcept C2778878098 @default.
• W2897542866 hasConcept C2779343474 @default.
• W2897542866 hasConcept C2780797713 @default.
• W2897542866 hasConcept C39432304 @default.
• W2897542866 hasConcept C505870484 @default.
• W2897542866 hasConcept C514101110 @default.
• W2897542866 hasConcept C62329434 @default.
• W2897542866 hasConcept C86803240 @default.
• W2897542866 hasConceptScore W2897542866C107826830 @default.
• W2897542866 hasConceptScore W2897542866C110872660 @default.
• W2897542866 hasConceptScore W2897542866C134037308 @default.
• W2897542866 hasConceptScore W2897542866C144133560 @default.
• W2897542866 hasConceptScore W2897542866C151152651 @default.
• W2897542866 hasConceptScore W2897542866C153294291 @default.
• W2897542866 hasConceptScore W2897542866C166957645 @default.
• W2897542866 hasConceptScore W2897542866C185933670 @default.
• W2897542866 hasConceptScore W2897542866C18903297 @default.
• W2897542866 hasConceptScore W2897542866C202041845 @default.
• W2897542866 hasConceptScore W2897542866C205649164 @default.
• W2897542866 hasConceptScore W2897542866C2776023875 @default.
• W2897542866 hasConceptScore W2897542866C2777610350 @default.
• W2897542866 hasConceptScore W2897542866C2778878098 @default.

• next