FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2416347788> ?p ?o ?g. }

• W2416347788 endingPage "150677" @default.
• W2416347788 startingPage "150677" @default.
• W2416347788 abstract "Global concern regarding pollinator decline has intensified interest in enhancing pollinator resources in managed landscapes. These efforts frequently emphasize restoration or planting of flowering plants to provide pollen and nectar resources that are highly attractive to the desired pollinators. However, determining exactly which plant species should be used to enhance a landscape is difficult. Empirical screening of plants for such purposes is logistically daunting, but could be streamlined by crowdsourcing data to create lists of plants most probable to attract the desired pollinator taxa. People frequently photograph plants in bloom and the Internet has become a vast repository of such images. A proportion of these images also capture floral visitation by arthropods. Here, we test the hypothesis that the abundance of floral images containing identifiable pollinator and other beneficial insects is positively associated with the observed attractiveness of the same species in controlled field trials from previously published studies. We used Google Image searches to determine the correlation of pollinator visitation captured by photographs on the Internet relative to the attractiveness of the same species in common-garden field trials for 43 plant species. From the first 30 photographs, which successfully identified the plant, we recorded the number of Apis (managed honeybees), non- Apis (exclusively wild bees) and the number of bee-mimicking syrphid flies. We used these observations from search hits as well as bloom period (BP) as predictor variables in Generalized Linear Models (GLMs) for field-observed abundances of each of these groups. We found that non- Apis bees observed in controlled field trials were positively associated with observations of these taxa in Google Image searches (pseudo- R 2 of 0.668). Syrphid fly observations in the field were also associated with the frequency they were observed in images, but this relationship was weak. Apis bee observations were not associated with Internet images, but were slightly associated with BP. Our results suggest that passively crowdsourced image data can potentially be a useful screening tool to identify candidate plants for pollinator habitat restoration efforts directed at wild bee conservation. Increasing our understanding of the attractiveness of a greater diversity of plants increases the potential for more rapid and efficient research in creating pollinator-supportive landscapes." @default.
• W2416347788 created "2016-06-24" @default.
• W2416347788 creator A5046616085 @default.
• W2416347788 creator A5079418482 @default.
• W2416347788 date "2016-06-01" @default.
• W2416347788 modified "2023-10-12" @default.
• W2416347788 title "Predicting plant attractiveness to pollinators with passive crowdsourcing" @default.
• W2416347788 cites W1490811386 @default.
• W2416347788 cites W1644145788 @default.
• W2416347788 cites W1694297514 @default.
• W2416347788 cites W184127177 @default.
• W2416347788 cites W1972348057 @default.
• W2416347788 cites W1993228913 @default.
• W2416347788 cites W1998956117 @default.
• W2416347788 cites W2002373800 @default.
• W2416347788 cites W2009428720 @default.
• W2416347788 cites W2009835563 @default.
• W2416347788 cites W2023283670 @default.
• W2416347788 cites W2027403759 @default.
• W2416347788 cites W2028849195 @default.
• W2416347788 cites W2030880466 @default.
• W2416347788 cites W2033969071 @default.
• W2416347788 cites W2056887736 @default.
• W2416347788 cites W2059970157 @default.
• W2416347788 cites W2078016700 @default.
• W2416347788 cites W2091026403 @default.
• W2416347788 cites W2093426262 @default.
• W2416347788 cites W2100704846 @default.
• W2416347788 cites W2105853573 @default.
• W2416347788 cites W2115917695 @default.
• W2416347788 cites W2122765389 @default.
• W2416347788 cites W2125541994 @default.
• W2416347788 cites W2134020923 @default.
• W2416347788 cites W2134727150 @default.
• W2416347788 cites W2135011388 @default.
• W2416347788 cites W2139290014 @default.
• W2416347788 cites W2142767340 @default.
• W2416347788 cites W2144519239 @default.
• W2416347788 cites W2144693286 @default.
• W2416347788 cites W2145011667 @default.
• W2416347788 cites W2150539973 @default.
• W2416347788 cites W2163640734 @default.
• W2416347788 cites W2164514251 @default.
• W2416347788 cites W2172498401 @default.
• W2416347788 cites W2173699199 @default.
• W2416347788 cites W2174466794 @default.
• W2416347788 cites W2176621602 @default.
• W2416347788 cites W2178959323 @default.
• W2416347788 cites W2187279102 @default.
• W2416347788 cites W3692153 @default.
• W2416347788 cites W4230096730 @default.
• W2416347788 cites W4239808909 @default.
• W2416347788 cites W4242190375 @default.
• W2416347788 cites W4251642930 @default.
• W2416347788 cites W2023800507 @default.
• W2416347788 doi "https://doi.org/10.1098/rsos.150677" @default.
• W2416347788 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4929897" @default.
• W2416347788 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/27429762" @default.
• W2416347788 hasPublicationYear "2016" @default.
• W2416347788 type Work @default.
• W2416347788 sameAs 2416347788 @default.
• W2416347788 citedByCount "17" @default.
• W2416347788 countsByYear W24163477882016 @default.
• W2416347788 countsByYear W24163477882017 @default.
• W2416347788 countsByYear W24163477882018 @default.
• W2416347788 countsByYear W24163477882019 @default.
• W2416347788 countsByYear W24163477882020 @default.
• W2416347788 countsByYear W24163477882021 @default.
• W2416347788 countsByYear W24163477882022 @default.
• W2416347788 countsByYear W24163477882023 @default.
• W2416347788 crossrefType "journal-article" @default.
• W2416347788 hasAuthorship W2416347788A5046616085 @default.
• W2416347788 hasAuthorship W2416347788A5079418482 @default.
• W2416347788 hasBestOaLocation W24163477881 @default.
• W2416347788 hasConcept C102789151 @default.
• W2416347788 hasConcept C11171543 @default.
• W2416347788 hasConcept C136764020 @default.
• W2416347788 hasConcept C137793583 @default.
• W2416347788 hasConcept C15744967 @default.
• W2416347788 hasConcept C165287380 @default.
• W2416347788 hasConcept C168197293 @default.
• W2416347788 hasConcept C18903297 @default.
• W2416347788 hasConcept C2777907900 @default.
• W2416347788 hasConcept C2780618852 @default.
• W2416347788 hasConcept C31173074 @default.
• W2416347788 hasConcept C41008148 @default.
• W2416347788 hasConcept C62230096 @default.
• W2416347788 hasConcept C77077793 @default.
• W2416347788 hasConcept C86803240 @default.
• W2416347788 hasConceptScore W2416347788C102789151 @default.
• W2416347788 hasConceptScore W2416347788C11171543 @default.
• W2416347788 hasConceptScore W2416347788C136764020 @default.
• W2416347788 hasConceptScore W2416347788C137793583 @default.
• W2416347788 hasConceptScore W2416347788C15744967 @default.
• W2416347788 hasConceptScore W2416347788C165287380 @default.
• W2416347788 hasConceptScore W2416347788C168197293 @default.
• W2416347788 hasConceptScore W2416347788C18903297 @default.
• W2416347788 hasConceptScore W2416347788C2777907900 @default.

• next