FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2953535166> ?p ?o ?g. }

• W2953535166 abstract "Abstract Background Accurate network models of species interaction could be used to predict population dynamics and be applied to manage real world ecosystems. Most relevant models are nonlinear, however, and data available from real world ecosystems are too noisy and sparsely sampled for common inference approaches. Here we improved the inference of generalized Lotka-Volterra (gLV) ecological networks by using a new optimization algorithm to constrain parameter signs with prior knowledge and a perturbation-based ensemble method. Results We applied the new inference to long-term species abundance data from the freshwater fish community in the Illinois River, United States. We constructed an ensemble of 668 gLV models that explained 79% of the data on average. The models indicated (at a 70% level of confidence) a strong positive interaction from emerald shiner ( Notropis atherinoides ) to channel catfish ( Ictalurus punctatus ), which we could validate using data from a nearby observation site, and predicted that the relative abundances of most fish species will continue to fluctuate temporally and concordantly in the near future. The network shows that the invasive silver carp ( Hypophthalmichthys molitrix ) has much stronger impacts on native predators than on prey, supporting the notion that the invader perturbs the native food chain by replacing the diets of predators. Conclusions Ensemble approaches constrained by prior knowledge can improve inference and produce networks from noisy and sparsely sampled time series data to fill knowledge gaps on real world ecosystems. Such network models could aid efforts to conserve ecosystems such as the Illinois River, which is threatened by the invasion of the silver carp." @default.
• W2953535166 created "2019-07-12" @default.
• W2953535166 creator A5028819015 @default.
• W2953535166 creator A5031416500 @default.
• W2953535166 creator A5051379791 @default.
• W2953535166 date "2019-06-28" @default.
• W2953535166 modified "2023-10-15" @default.
• W2953535166 title "Enhanced inference of ecological networks by parameterizing ensembles of population dynamics models constrained with prior knowledge" @default.
• W2953535166 cites W1888847282 @default.
• W2953535166 cites W1969027200 @default.
• W2953535166 cites W1982514201 @default.
• W2953535166 cites W1983053275 @default.
• W2953535166 cites W1990566709 @default.
• W2953535166 cites W1992864385 @default.
• W2953535166 cites W1993830991 @default.
• W2953535166 cites W2012994611 @default.
• W2953535166 cites W2019805359 @default.
• W2953535166 cites W2027753389 @default.
• W2953535166 cites W2044712133 @default.
• W2953535166 cites W2044713944 @default.
• W2953535166 cites W2045954141 @default.
• W2953535166 cites W2048108675 @default.
• W2953535166 cites W2049546703 @default.
• W2953535166 cites W2052976493 @default.
• W2953535166 cites W2060548384 @default.
• W2953535166 cites W2063532741 @default.
• W2953535166 cites W2063642947 @default.
• W2953535166 cites W2081343114 @default.
• W2953535166 cites W2086325432 @default.
• W2953535166 cites W2126452774 @default.
• W2953535166 cites W2140043554 @default.
• W2953535166 cites W2154986869 @default.
• W2953535166 cites W2375078728 @default.
• W2953535166 cites W2411339389 @default.
• W2953535166 cites W2413154614 @default.
• W2953535166 cites W2481949923 @default.
• W2953535166 cites W2513477796 @default.
• W2953535166 cites W2529100136 @default.
• W2953535166 cites W2561761056 @default.
• W2953535166 cites W2588156372 @default.
• W2953535166 cites W2597588799 @default.
• W2953535166 cites W2740653777 @default.
• W2953535166 cites W2773368689 @default.
• W2953535166 cites W2787154907 @default.
• W2953535166 cites W2969872083 @default.
• W2953535166 cites W816410171 @default.
• W2953535166 doi "https://doi.org/10.1101/686402" @default.
• W2953535166 hasPublicationYear "2019" @default.
• W2953535166 type Work @default.
• W2953535166 sameAs 2953535166 @default.
• W2953535166 citedByCount "0" @default.
• W2953535166 crossrefType "posted-content" @default.
• W2953535166 hasAuthorship W2953535166A5028819015 @default.
• W2953535166 hasAuthorship W2953535166A5031416500 @default.
• W2953535166 hasAuthorship W2953535166A5051379791 @default.
• W2953535166 hasBestOaLocation W29535351661 @default.
• W2953535166 hasConcept C110872660 @default.
• W2953535166 hasConcept C119857082 @default.
• W2953535166 hasConcept C144024400 @default.
• W2953535166 hasConcept C149923435 @default.
• W2953535166 hasConcept C154945302 @default.
• W2953535166 hasConcept C18903297 @default.
• W2953535166 hasConcept C2776214188 @default.
• W2953535166 hasConcept C2777498619 @default.
• W2953535166 hasConcept C2908647359 @default.
• W2953535166 hasConcept C2909208804 @default.
• W2953535166 hasConcept C41008148 @default.
• W2953535166 hasConcept C505870484 @default.
• W2953535166 hasConcept C86803240 @default.
• W2953535166 hasConceptScore W2953535166C110872660 @default.
• W2953535166 hasConceptScore W2953535166C119857082 @default.
• W2953535166 hasConceptScore W2953535166C144024400 @default.
• W2953535166 hasConceptScore W2953535166C149923435 @default.
• W2953535166 hasConceptScore W2953535166C154945302 @default.
• W2953535166 hasConceptScore W2953535166C18903297 @default.
• W2953535166 hasConceptScore W2953535166C2776214188 @default.
• W2953535166 hasConceptScore W2953535166C2777498619 @default.
• W2953535166 hasConceptScore W2953535166C2908647359 @default.
• W2953535166 hasConceptScore W2953535166C2909208804 @default.
• W2953535166 hasConceptScore W2953535166C41008148 @default.
• W2953535166 hasConceptScore W2953535166C505870484 @default.
• W2953535166 hasConceptScore W2953535166C86803240 @default.
• W2953535166 hasLocation W29535351661 @default.
• W2953535166 hasLocation W29535351662 @default.
• W2953535166 hasOpenAccess W2953535166 @default.
• W2953535166 hasPrimaryLocation W29535351661 @default.
• W2953535166 hasRelatedWork W202916971 @default.
• W2953535166 hasRelatedWork W2211820962 @default.
• W2953535166 hasRelatedWork W2367950322 @default.
• W2953535166 hasRelatedWork W2889453578 @default.
• W2953535166 hasRelatedWork W2905292968 @default.
• W2953535166 hasRelatedWork W2949777041 @default.
• W2953535166 hasRelatedWork W3138673617 @default.
• W2953535166 hasRelatedWork W3213185541 @default.
• W2953535166 hasRelatedWork W4295815743 @default.
• W2953535166 hasRelatedWork W4299337115 @default.
• W2953535166 isParatext "false" @default.
• W2953535166 isRetracted "false" @default.
• W2953535166 magId "2953535166" @default.
• W2953535166 workType "article" @default.