FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2595203266> ?p ?o ?g. }

• W2595203266 endingPage "135" @default.
• W2595203266 startingPage "135" @default.
• W2595203266 abstract "Context Brazil has one of the richest biodiversity and one of the most extensive road networks in the world. Several negative impacts emerge from this interaction, including wildlife–vehicle collisions (WVC), which may represent a significant source of non-natural mortality in several species. The understanding of the main drivers of WVC is, therefore, crucial to improve the safe coexistence between human needs (transportation of goods and people) and animal populations. Aims We aimed to (1) evaluate the relative influence of land-cover patterns on the distribution of WVC, (2) assess whether WVCs are clustered forming hotspots of mortality, and, if so, (3) evaluate the benefits of mitigating only hotspot sections. Methods We collected WVC data involving medium–large mammals (4–260kg) along three road transects (920km), fortnightly over 1 year (n=1006 records). We used boosted regression trees to relate the WVC locations with a set of environmental variables including a roadkill index, reflecting overall habitat suitability and landscape connectivity, while accounting for spatial autocorrelation effects. We identified hotspots of mortality using Ripley’s K statistic and testing whether data follow a random Poisson distribution correcting for Type I error. Key results We found a strong association between WVC probability and roadkill index for all focal species. Distance to riparian areas, tree cover, terrain ruggedness and distance to urban areas were also important predictors, although to a lesser extent. We detected 21 hotspots of mortality, yet with little spatial overlapping as only four road sections (2%) were classified as hotspot for more than one species. Conclusions Our results supported that WVC mainly occur in road sections traversing areas with more abundant and diverse mammal communities. Hotspots of mortality may provide important information to prioritise road sections for mitigation, but this should be used in complement with roadkill indexes accounting for overall mortality. Implications The results support focusing on hotspots and habitat quality and landscape connectivity for a better assessment of road mortality. At the local scale, a larger number and improved road passages with exclusionary fencing of appropriate mesh size in riparian areas may provide safe crossings for many species and constitute a promising mitigation measure." @default.
• W2595203266 created "2017-03-23" @default.
• W2595203266 creator A5006066461 @default.
• W2595203266 creator A5014258334 @default.
• W2595203266 creator A5032064800 @default.
• W2595203266 creator A5045305367 @default.
• W2595203266 date "2017-01-01" @default.
• W2595203266 modified "2023-10-15" @default.
• W2595203266 title "Spatial patterns of road mortality of medium–large mammals in Mato Grosso do Sul, Brazil" @default.
• W2595203266 cites W1218562140 @default.
• W2595203266 cites W1496558964 @default.
• W2595203266 cites W1515196684 @default.
• W2595203266 cites W1577355062 @default.
• W2595203266 cites W180836830 @default.
• W2595203266 cites W1891940943 @default.
• W2595203266 cites W1902370501 @default.
• W2595203266 cites W1935907490 @default.
• W2595203266 cites W1946001705 @default.
• W2595203266 cites W1965191752 @default.
• W2595203266 cites W1965969064 @default.
• W2595203266 cites W1966679988 @default.
• W2595203266 cites W1967199798 @default.
• W2595203266 cites W1979609963 @default.
• W2595203266 cites W1979655930 @default.
• W2595203266 cites W1981167838 @default.
• W2595203266 cites W1985723721 @default.
• W2595203266 cites W1987356680 @default.
• W2595203266 cites W1990042340 @default.
• W2595203266 cites W1992860820 @default.
• W2595203266 cites W1995406888 @default.
• W2595203266 cites W1996116339 @default.
• W2595203266 cites W1999181905 @default.
• W2595203266 cites W1999567283 @default.
• W2595203266 cites W2007612336 @default.
• W2595203266 cites W2008142658 @default.
• W2595203266 cites W2008754839 @default.
• W2595203266 cites W2016718659 @default.
• W2595203266 cites W2016994948 @default.
• W2595203266 cites W2018360110 @default.
• W2595203266 cites W2020033806 @default.
• W2595203266 cites W2022319455 @default.
• W2595203266 cites W2026500634 @default.
• W2595203266 cites W2037899662 @default.
• W2595203266 cites W2042504207 @default.
• W2595203266 cites W2044473178 @default.
• W2595203266 cites W2049474290 @default.
• W2595203266 cites W2058561029 @default.
• W2595203266 cites W2060664486 @default.
• W2595203266 cites W2063662214 @default.
• W2595203266 cites W2064270042 @default.
• W2595203266 cites W2065217782 @default.
• W2595203266 cites W2066154029 @default.
• W2595203266 cites W2071569607 @default.
• W2595203266 cites W2072289758 @default.
• W2595203266 cites W2072296242 @default.
• W2595203266 cites W2074108332 @default.
• W2595203266 cites W2075952068 @default.
• W2595203266 cites W2084405254 @default.
• W2595203266 cites W2084677492 @default.
• W2595203266 cites W2085509252 @default.
• W2595203266 cites W2086917366 @default.
• W2595203266 cites W2089792340 @default.
• W2595203266 cites W2091194834 @default.
• W2595203266 cites W2098310793 @default.
• W2595203266 cites W2107843557 @default.
• W2595203266 cites W2108228920 @default.
• W2595203266 cites W2110675247 @default.
• W2595203266 cites W2112315008 @default.
• W2595203266 cites W2113428282 @default.
• W2595203266 cites W2118695472 @default.
• W2595203266 cites W2128153523 @default.
• W2595203266 cites W2128349606 @default.
• W2595203266 cites W2135695572 @default.
• W2595203266 cites W2137046486 @default.
• W2595203266 cites W2137555276 @default.
• W2595203266 cites W2140768490 @default.
• W2595203266 cites W2141947797 @default.
• W2595203266 cites W2148739747 @default.
• W2595203266 cites W2150905832 @default.
• W2595203266 cites W2156879798 @default.
• W2595203266 cites W2159540360 @default.
• W2595203266 cites W2162348455 @default.
• W2595203266 cites W2162668672 @default.
• W2595203266 cites W2170565777 @default.
• W2595203266 cites W2173444860 @default.
• W2595203266 cites W2177299793 @default.
• W2595203266 cites W2184528323 @default.
• W2595203266 cites W2318945793 @default.
• W2595203266 cites W2462199866 @default.
• W2595203266 cites W2547995893 @default.
• W2595203266 cites W2556258011 @default.
• W2595203266 cites W88777592 @default.
• W2595203266 cites W940309087 @default.
• W2595203266 doi "https://doi.org/10.1071/wr16108" @default.
• W2595203266 hasPublicationYear "2017" @default.
• W2595203266 type Work @default.
• W2595203266 sameAs 2595203266 @default.
• W2595203266 citedByCount "49" @default.

• next