FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2999695533> ?p ?o ?g. }

• W2999695533 endingPage "e1007542" @default.
• W2999695533 startingPage "e1007542" @default.
• W2999695533 abstract "Environmental factors interact with internal rules of population regulation, sometimes perturbing systems to alternate dynamics though changes in parameter values. Yet, pinpointing when such changes occur in naturally fluctuating populations is difficult. An algorithmic approach that can identify the timing and magnitude of parameter shifts would facilitate understanding of abrupt ecological transitions with potential to inform conservation and management of species. The “Dynamic Shift Detector” is an algorithm to identify changes in parameter values governing temporal fluctuations in populations with nonlinear dynamics. The algorithm examines population time series data for the presence, location, and magnitude of parameter shifts. It uses an iterative approach to fitting subsets of time series data, then ranks the fit of break point combinations using model selection, assigning a relative weight to each break. We examined the performance of the Dynamic Shift Detector with simulations and two case studies. Under low environmental/sampling noise, the break point sets selected by the Dynamic Shift Detector contained the true simulated breaks with 70–100% accuracy. The weighting tool generally assigned breaks intentionally placed in simulated data (i.e., true breaks) with weights averaging >0.8 and those due to sampling error (i.e., erroneous breaks) with weights averaging <0.2. In our case study examining an invasion process, the algorithm identified shifts in population cycling associated with variations in resource availability. The shifts identified for the conservation case study highlight a decline process that generally coincided with changing management practices affecting the availability of hostplant resources. When interpreted in the context of species biology, the Dynamic Shift Detector algorithm can aid management decisions and identify critical time periods related to species’ dynamics. In an era of rapid global change, such tools can provide key insights into the conditions under which population parameters, and their corresponding dynamics, can shift." @default.
• W2999695533 created "2020-01-23" @default.
• W2999695533 creator A5046616085 @default.
• W2999695533 creator A5069443586 @default.
• W2999695533 date "2020-01-15" @default.
• W2999695533 modified "2023-10-14" @default.
• W2999695533 title "The Dynamic Shift Detector: An algorithm to identify changes in parameter values governing populations" @default.
• W2999695533 cites W1793984240 @default.
• W2999695533 cites W1983401758 @default.
• W2999695533 cites W1987402617 @default.
• W2999695533 cites W1987464952 @default.
• W2999695533 cites W1992147353 @default.
• W2999695533 cites W2005711658 @default.
• W2999695533 cites W2006959528 @default.
• W2999695533 cites W2010541785 @default.
• W2999695533 cites W2046258683 @default.
• W2999695533 cites W2057791186 @default.
• W2999695533 cites W2067430903 @default.
• W2999695533 cites W2074096899 @default.
• W2999695533 cites W2078353730 @default.
• W2999695533 cites W2083771789 @default.
• W2999695533 cites W2085187101 @default.
• W2999695533 cites W2100891518 @default.
• W2999695533 cites W2102892532 @default.
• W2999695533 cites W2103948957 @default.
• W2999695533 cites W2105827100 @default.
• W2999695533 cites W2111798644 @default.
• W2999695533 cites W2112499642 @default.
• W2999695533 cites W2115434827 @default.
• W2999695533 cites W2117166867 @default.
• W2999695533 cites W2120328339 @default.
• W2999695533 cites W2122219241 @default.
• W2999695533 cites W2122774926 @default.
• W2999695533 cites W2126010503 @default.
• W2999695533 cites W2139220821 @default.
• W2999695533 cites W2143510389 @default.
• W2999695533 cites W2149189573 @default.
• W2999695533 cites W2152168289 @default.
• W2999695533 cites W2162136094 @default.
• W2999695533 cites W2162335786 @default.
• W2999695533 cites W2168828467 @default.
• W2999695533 cites W2169715400 @default.
• W2999695533 cites W2172388050 @default.
• W2999695533 cites W2178047388 @default.
• W2999695533 cites W2346421095 @default.
• W2999695533 cites W2562810418 @default.
• W2999695533 cites W2592927802 @default.
• W2999695533 cites W2610632796 @default.
• W2999695533 cites W2765802082 @default.
• W2999695533 cites W2803550381 @default.
• W2999695533 cites W2922639658 @default.
• W2999695533 cites W3100575704 @default.
• W2999695533 cites W3125328255 @default.
• W2999695533 cites W4253228525 @default.
• W2999695533 doi "https://doi.org/10.1371/journal.pcbi.1007542" @default.
• W2999695533 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6961891" @default.
• W2999695533 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31940344" @default.
• W2999695533 hasPublicationYear "2020" @default.
• W2999695533 type Work @default.
• W2999695533 sameAs 2999695533 @default.
• W2999695533 citedByCount "9" @default.
• W2999695533 countsByYear W29996955332020 @default.
• W2999695533 countsByYear W29996955332021 @default.
• W2999695533 countsByYear W29996955332022 @default.
• W2999695533 crossrefType "journal-article" @default.
• W2999695533 hasAuthorship W2999695533A5046616085 @default.
• W2999695533 hasAuthorship W2999695533A5069443586 @default.
• W2999695533 hasBestOaLocation W29996955331 @default.
• W2999695533 hasConcept C105795698 @default.
• W2999695533 hasConcept C11413529 @default.
• W2999695533 hasConcept C115961682 @default.
• W2999695533 hasConcept C121332964 @default.
• W2999695533 hasConcept C140779682 @default.
• W2999695533 hasConcept C143724316 @default.
• W2999695533 hasConcept C144024400 @default.
• W2999695533 hasConcept C149923435 @default.
• W2999695533 hasConcept C151730666 @default.
• W2999695533 hasConcept C154945302 @default.
• W2999695533 hasConcept C183115368 @default.
• W2999695533 hasConcept C24890656 @default.
• W2999695533 hasConcept C2779343474 @default.
• W2999695533 hasConcept C2908647359 @default.
• W2999695533 hasConcept C33923547 @default.
• W2999695533 hasConcept C41008148 @default.
• W2999695533 hasConcept C76155785 @default.
• W2999695533 hasConcept C86803240 @default.
• W2999695533 hasConcept C94915269 @default.
• W2999695533 hasConcept C99498987 @default.
• W2999695533 hasConceptScore W2999695533C105795698 @default.
• W2999695533 hasConceptScore W2999695533C11413529 @default.
• W2999695533 hasConceptScore W2999695533C115961682 @default.
• W2999695533 hasConceptScore W2999695533C121332964 @default.
• W2999695533 hasConceptScore W2999695533C140779682 @default.
• W2999695533 hasConceptScore W2999695533C143724316 @default.
• W2999695533 hasConceptScore W2999695533C144024400 @default.
• W2999695533 hasConceptScore W2999695533C149923435 @default.
• W2999695533 hasConceptScore W2999695533C151730666 @default.
• W2999695533 hasConceptScore W2999695533C154945302 @default.

• next