FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2919064314> ?p ?o ?g. }

• W2919064314 endingPage "154" @default.
• W2919064314 startingPage "154" @default.
• W2919064314 abstract "Context Evaluating predator management efficacy is difficult, especially when resources are limited. Carefully designing monitoring programs in advance is critical for data collection that is sufficient to evaluate management success and to inform decisions. Aims The aim was to investigate how the design of camera trap studies can affect the ability to reliably detect changes in red fox (Vulpes vulpes) activity over space and time. Specifically, to examine the effect of study duration, camera cost and detection zone under various environmental and management scenarios, including different fox densities, management impacts, monitoring budgets and levels of spatial and temporal variation. Methods A generalised linear mixed model was used to analyse simulated datasets from control sites and sites with predator management actions implemented, following a before–after or control–impact sampling design. Statistical power analyses were conducted to evaluate whether a change in fox abundance could be detected across various environmental and management scenarios. Key results Results showed that a before–after sampling design is less sensitive than a control–impact sampling design to the number of cameras used for monitoring. However, a before–after sampling design requires a longer monitoring period to achieve a satisfactory level of power, due to higher sensitivity to study duration. Given a fixed budget, there can be a trade-off between purchasing a small number of high quality cameras with large detection zones, or a larger number of cameras with smaller detection zones. In a control-impact design we found that if spatial heterogeneity was high, a larger number of cameras with smaller detection zones provided more power to detect a difference in fox abundance. Conclusion This simulation-based approach demonstrates the importance of exploring various monitoring designs to detect the effect of predator management across plausible environmental and budgetary scenarios. Implications The present study informs the monitoring design of an adaptive management program that aims to understand the role of managing fox predation on malleefowl (Leipoa ocellata), a threatened Australian bird. Furthermore, this approach provides a useful guide for developing cost-effective camera trap monitoring studies to assess efficacy of conservation management programs. Power analyses are an essential step for designing efficient monitoring, and indicate the strength of ecological signals that can realistically be detected through the noise of spatial and temporal heterogeneity under various budgetary constraints." @default.
• W2919064314 created "2019-03-11" @default.
• W2919064314 creator A5004764352 @default.
• W2919064314 creator A5023975583 @default.
• W2919064314 creator A5073922236 @default.
• W2919064314 creator A5091121413 @default.
• W2919064314 creator A5091121875 @default.
• W2919064314 date "2019-01-01" @default.
• W2919064314 modified "2023-09-24" @default.
• W2919064314 title "Designing a camera trap monitoring program to measure efficacy of invasive predator management" @default.
• W2919064314 cites W1243811869 @default.
• W2919064314 cites W1573614506 @default.
• W2919064314 cites W1575393310 @default.
• W2919064314 cites W1896345378 @default.
• W2919064314 cites W1926585252 @default.
• W2919064314 cites W1968850313 @default.
• W2919064314 cites W1973610071 @default.
• W2919064314 cites W1981302151 @default.
• W2919064314 cites W1981494676 @default.
• W2919064314 cites W1989521184 @default.
• W2919064314 cites W200152147 @default.
• W2919064314 cites W2004206194 @default.
• W2919064314 cites W2011716877 @default.
• W2919064314 cites W2013138857 @default.
• W2919064314 cites W2043463837 @default.
• W2919064314 cites W2046118684 @default.
• W2919064314 cites W2047607022 @default.
• W2919064314 cites W2050104232 @default.
• W2919064314 cites W2050812021 @default.
• W2919064314 cites W2052440073 @default.
• W2919064314 cites W2055032654 @default.
• W2919064314 cites W2065788615 @default.
• W2919064314 cites W2069990221 @default.
• W2919064314 cites W2089905934 @default.
• W2919064314 cites W2094253186 @default.
• W2919064314 cites W2098282696 @default.
• W2919064314 cites W2102843713 @default.
• W2919064314 cites W2105513050 @default.
• W2919064314 cites W2111574672 @default.
• W2919064314 cites W2112411835 @default.
• W2919064314 cites W2117720460 @default.
• W2919064314 cites W2121314625 @default.
• W2919064314 cites W2123687584 @default.
• W2919064314 cites W2126194992 @default.
• W2919064314 cites W2127534125 @default.
• W2919064314 cites W2133470044 @default.
• W2919064314 cites W2136673106 @default.
• W2919064314 cites W2138044091 @default.
• W2919064314 cites W2139240109 @default.
• W2919064314 cites W2140310924 @default.
• W2919064314 cites W2151120415 @default.
• W2919064314 cites W2317013321 @default.
• W2919064314 cites W2516927962 @default.
• W2919064314 cites W2550223228 @default.
• W2919064314 cites W4250777231 @default.
• W2919064314 doi "https://doi.org/10.1071/wr17139" @default.
• W2919064314 hasPublicationYear "2019" @default.
• W2919064314 type Work @default.
• W2919064314 sameAs 2919064314 @default.
• W2919064314 citedByCount "5" @default.
• W2919064314 countsByYear W29190643142019 @default.
• W2919064314 countsByYear W29190643142020 @default.
• W2919064314 countsByYear W29190643142021 @default.
• W2919064314 countsByYear W29190643142022 @default.
• W2919064314 crossrefType "journal-article" @default.
• W2919064314 hasAuthorship W2919064314A5004764352 @default.
• W2919064314 hasAuthorship W2919064314A5023975583 @default.
• W2919064314 hasAuthorship W2919064314A5073922236 @default.
• W2919064314 hasAuthorship W2919064314A5091121413 @default.
• W2919064314 hasAuthorship W2919064314A5091121875 @default.
• W2919064314 hasConcept C107826830 @default.
• W2919064314 hasConcept C140779682 @default.
• W2919064314 hasConcept C144024400 @default.
• W2919064314 hasConcept C149923435 @default.
• W2919064314 hasConcept C166957645 @default.
• W2919064314 hasConcept C188382862 @default.
• W2919064314 hasConcept C18903297 @default.
• W2919064314 hasConcept C205649164 @default.
• W2919064314 hasConcept C2776082042 @default.
• W2919064314 hasConcept C2779343474 @default.
• W2919064314 hasConcept C2908647359 @default.
• W2919064314 hasConcept C39432304 @default.
• W2919064314 hasConcept C41008148 @default.
• W2919064314 hasConcept C75373757 @default.
• W2919064314 hasConcept C76155785 @default.
• W2919064314 hasConcept C86803240 @default.
• W2919064314 hasConcept C94915269 @default.
• W2919064314 hasConceptScore W2919064314C107826830 @default.
• W2919064314 hasConceptScore W2919064314C140779682 @default.
• W2919064314 hasConceptScore W2919064314C144024400 @default.
• W2919064314 hasConceptScore W2919064314C149923435 @default.
• W2919064314 hasConceptScore W2919064314C166957645 @default.
• W2919064314 hasConceptScore W2919064314C188382862 @default.
• W2919064314 hasConceptScore W2919064314C18903297 @default.
• W2919064314 hasConceptScore W2919064314C205649164 @default.
• W2919064314 hasConceptScore W2919064314C2776082042 @default.
• W2919064314 hasConceptScore W2919064314C2779343474 @default.
• W2919064314 hasConceptScore W2919064314C2908647359 @default.

• next