FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2905994004> ?p ?o ?g. }

• W2905994004 endingPage "23" @default.
• W2905994004 startingPage "13" @default.
• W2905994004 abstract "Abstract A critical issue in understanding trophic connectivity in ecological systems is the lack in quality and quantity of information about feeding habits. In this work, we present a method for integrating a diversity of feeding habits data from published studies to evaluate the impact on indices that describe characteristics of individual taxa and their connectivity. We focus our study on feeding habits of the fishes of the northern Gulf of Mexico and seek to understand the importance of the forage fish Gulf Menhaden (Brevoortia patronus) in predator diets. We created a database of diet studies from the northern Gulf of Mexico that included six diet metrics: frequency of occurrence, wet weight, dry weight, number, volume, index of relative importance, and index of caloric importance. We then used this information to construct a set of traditional networks (all prey and predators were from a single taxonomic level and trophic connections were parameterized with a single diet metric). We also constructed a “robust” network where all taxa were identified to the lowest taxonomic level and trophic connections were parameterized using a resampling approach that included all available information. Linear regression and resampling methods were used to convert data reported in other diet metrics into the frequency of occurrence diet metric. For both traditional and robust networks, we used network indices to describe topological properties. With the robust network, we conducted removal simulations where the forage fish species Gulf Menhaden, and associated Clupeidae representatives, were removed from the network and the feeding effort of the predators was reallocated among their other prey items. We found that network and node-specific indices were sensitive to the choice of taxonomy and diet metric level. In the robust network, predator species with the greatest number of identified prey had the lowest precision in their connections and prey from the Arthropoda phyla had the lowest precision for connections. From the removal and reallocation simulations, we found that Actinopterygii and Arthropoda were the most impacted prey taxa with 1.2% to 4.3% increase in predation and approximately 23 taxa would receive 50% of the reallocated predation. Overall, the resampling methods we present provide a potential means for combining disparate diet data and enables a comprehensive understanding of trophic interactions within an ecosystem." @default.
• W2905994004 created "2019-01-01" @default.
• W2905994004 creator A5039857832 @default.
• W2905994004 creator A5043184834 @default.
• W2905994004 date "2019-03-01" @default.
• W2905994004 modified "2023-10-16" @default.
• W2905994004 title "Construction and evaluation of a robust trophic network model for the northern Gulf of Mexico ecosystem" @default.
• W2905994004 cites W1875419132 @default.
• W2905994004 cites W1974809535 @default.
• W2905994004 cites W1976460809 @default.
• W2905994004 cites W1979141492 @default.
• W2905994004 cites W1982191767 @default.
• W2905994004 cites W1985381446 @default.
• W2905994004 cites W1990566709 @default.
• W2905994004 cites W1990650921 @default.
• W2905994004 cites W2032033968 @default.
• W2905994004 cites W2048913501 @default.
• W2905994004 cites W2061513338 @default.
• W2905994004 cites W2072105081 @default.
• W2905994004 cites W2082903711 @default.
• W2905994004 cites W2088423081 @default.
• W2905994004 cites W2103037732 @default.
• W2905994004 cites W2103584192 @default.
• W2905994004 cites W2109395712 @default.
• W2905994004 cites W2109724904 @default.
• W2905994004 cites W2137001683 @default.
• W2905994004 cites W2151402778 @default.
• W2905994004 cites W2156695268 @default.
• W2905994004 cites W2157235427 @default.
• W2905994004 cites W2165927934 @default.
• W2905994004 cites W2170893095 @default.
• W2905994004 cites W2302212513 @default.
• W2905994004 cites W2470151334 @default.
• W2905994004 cites W2600530559 @default.
• W2905994004 cites W2736354597 @default.
• W2905994004 cites W2739690405 @default.
• W2905994004 cites W2744456328 @default.
• W2905994004 cites W2777989359 @default.
• W2905994004 cites W2797025333 @default.
• W2905994004 cites W2811291652 @default.
• W2905994004 cites W968377511 @default.
• W2905994004 doi "https://doi.org/10.1016/j.ecoinf.2018.12.005" @default.
• W2905994004 hasPublicationYear "2019" @default.
• W2905994004 type Work @default.
• W2905994004 sameAs 2905994004 @default.
• W2905994004 citedByCount "3" @default.
• W2905994004 countsByYear W29059940042021 @default.
• W2905994004 countsByYear W29059940042023 @default.
• W2905994004 crossrefType "journal-article" @default.
• W2905994004 hasAuthorship W2905994004A5039857832 @default.
• W2905994004 hasAuthorship W2905994004A5043184834 @default.
• W2905994004 hasConcept C107826830 @default.
• W2905994004 hasConcept C110872660 @default.
• W2905994004 hasConcept C18903297 @default.
• W2905994004 hasConcept C205649164 @default.
• W2905994004 hasConcept C39432304 @default.
• W2905994004 hasConcept C64107356 @default.
• W2905994004 hasConcept C72958200 @default.
• W2905994004 hasConcept C86803240 @default.
• W2905994004 hasConceptScore W2905994004C107826830 @default.
• W2905994004 hasConceptScore W2905994004C110872660 @default.
• W2905994004 hasConceptScore W2905994004C18903297 @default.
• W2905994004 hasConceptScore W2905994004C205649164 @default.
• W2905994004 hasConceptScore W2905994004C39432304 @default.
• W2905994004 hasConceptScore W2905994004C64107356 @default.
• W2905994004 hasConceptScore W2905994004C72958200 @default.
• W2905994004 hasConceptScore W2905994004C86803240 @default.
• W2905994004 hasLocation W29059940041 @default.
• W2905994004 hasOpenAccess W2905994004 @default.
• W2905994004 hasPrimaryLocation W29059940041 @default.
• W2905994004 hasRelatedWork W1999660956 @default.
• W2905994004 hasRelatedWork W2002830275 @default.
• W2905994004 hasRelatedWork W2017673292 @default.
• W2905994004 hasRelatedWork W2025923806 @default.
• W2905994004 hasRelatedWork W2158321664 @default.
• W2905994004 hasRelatedWork W2165006424 @default.
• W2905994004 hasRelatedWork W2180209647 @default.
• W2905994004 hasRelatedWork W2385627607 @default.
• W2905994004 hasRelatedWork W2578958840 @default.
• W2905994004 hasRelatedWork W2592399741 @default.
• W2905994004 hasVolume "50" @default.
• W2905994004 isParatext "false" @default.
• W2905994004 isRetracted "false" @default.
• W2905994004 magId "2905994004" @default.
• W2905994004 workType "article" @default.