FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2416335950> ?p ?o ?g. }

• W2416335950 abstract "Abstract Roads are significant barriers to landscape‐scale movements of individuals or populations of many wildlife taxa. The decision by an animal near a road to either cross or not cross may be influenced by characteristics of the road, environmental conditions, traits of the individual animal, and other aspects of the context within which the decision is made. We considered such factors in a mixed‐effects logistic regression model describing the nightly road crossing probabilities of invasive nocturnal Brown Treesnakes ( Boiga irregularis ) through short‐term radiotracking of 691 snakes within close proximity to 50 road segments across the island of Guam. All measures of road magnitude (traffic volume, gap width, surface type, etc.) were significantly negatively correlated with crossing probabilities. Snake body size was the only intrinsic factor associated with crossing rates, with larger snakes crossing roads more frequently. Humidity was the only environmental variable affecting crossing rate. The distance of the snake from the road at the start of nightly movement trials was the most significant predictor of crossings. The presence of snake traps with live mouse lures during a portion of the trials indicated that localized prey cues reduced the probability of a snake crossing the road away from the traps, suggesting that a snake's decision to cross roads is influenced by local foraging opportunities. Per capita road crossing rates of Brown Treesnakes were very low, and comparisons to historical records suggest that crossing rates have declined in the 60+ yr since introduction to Guam. We report a simplified model that will allow managers to predict road crossing rates based on snake, road, and contextual characteristics. Road crossing simulations based on actual snake size distributions demonstrate that populations with size distributions skewed toward larger snakes will result in a higher number of road crossings. Our method of modeling per capita road crossing probabilities as a binary response variable, influenced by contextual factors, may be useful for describing or predicting road crossings by individuals of other taxa provided that appropriate spatial and temporal resolution can be achieved and that potentially influential covariate data can be obtained." @default.
• W2416335950 created "2016-06-24" @default.
• W2416335950 creator A5006430652 @default.
• W2416335950 creator A5023067168 @default.
• W2416335950 creator A5023345173 @default.
• W2416335950 date "2016-05-01" @default.
• W2416335950 modified "2023-09-26" @default.
• W2416335950 title "To cross or not to cross: modeling wildlife road crossings as a binary response variable with contextual predictors" @default.
• W2416335950 cites W1489075581 @default.
• W2416335950 cites W1517513684 @default.
• W2416335950 cites W1891853036 @default.
• W2416335950 cites W1905705208 @default.
• W2416335950 cites W1964126066 @default.
• W2416335950 cites W1965303007 @default.
• W2416335950 cites W1973116356 @default.
• W2416335950 cites W1973422404 @default.
• W2416335950 cites W1973699312 @default.
• W2416335950 cites W1979860154 @default.
• W2416335950 cites W1984325465 @default.
• W2416335950 cites W1990950576 @default.
• W2416335950 cites W1993263601 @default.
• W2416335950 cites W1996111857 @default.
• W2416335950 cites W1996779112 @default.
• W2416335950 cites W2011455955 @default.
• W2416335950 cites W2016988119 @default.
• W2416335950 cites W2022370522 @default.
• W2416335950 cites W2025827580 @default.
• W2416335950 cites W2027679660 @default.
• W2416335950 cites W2032148906 @default.
• W2416335950 cites W2038042543 @default.
• W2416335950 cites W2038755134 @default.
• W2416335950 cites W2056034616 @default.
• W2416335950 cites W2060666837 @default.
• W2416335950 cites W2063114005 @default.
• W2416335950 cites W2076070564 @default.
• W2416335950 cites W2092200829 @default.
• W2416335950 cites W2093533235 @default.
• W2416335950 cites W2096541059 @default.
• W2416335950 cites W2106269192 @default.
• W2416335950 cites W2107843557 @default.
• W2416335950 cites W2108228920 @default.
• W2416335950 cites W2108517478 @default.
• W2416335950 cites W2109677887 @default.
• W2416335950 cites W2111290966 @default.
• W2416335950 cites W2114383045 @default.
• W2416335950 cites W2114504248 @default.
• W2416335950 cites W2114708598 @default.
• W2416335950 cites W2116900086 @default.
• W2416335950 cites W2117839177 @default.
• W2416335950 cites W2121319925 @default.
• W2416335950 cites W2122640751 @default.
• W2416335950 cites W2122813643 @default.
• W2416335950 cites W2122856559 @default.
• W2416335950 cites W2125295588 @default.
• W2416335950 cites W2127184888 @default.
• W2416335950 cites W2129775337 @default.
• W2416335950 cites W2129780649 @default.
• W2416335950 cites W2129881072 @default.
• W2416335950 cites W2129905293 @default.
• W2416335950 cites W2133288996 @default.
• W2416335950 cites W2137046486 @default.
• W2416335950 cites W2143023116 @default.
• W2416335950 cites W2143048658 @default.
• W2416335950 cites W2147152640 @default.
• W2416335950 cites W2149588442 @default.
• W2416335950 cites W2151737198 @default.
• W2416335950 cites W2153056191 @default.
• W2416335950 cites W2159957913 @default.
• W2416335950 cites W2164248073 @default.
• W2416335950 cites W2165111556 @default.
• W2416335950 cites W2166010074 @default.
• W2416335950 cites W2167778475 @default.
• W2416335950 cites W2168080253 @default.
• W2416335950 cites W2169464581 @default.
• W2416335950 cites W2175691607 @default.
• W2416335950 cites W2177848337 @default.
• W2416335950 cites W2314460848 @default.
• W2416335950 cites W2316596114 @default.
• W2416335950 cites W2320663865 @default.
• W2416335950 cites W2325750835 @default.
• W2416335950 cites W4237175402 @default.
• W2416335950 cites W4242629125 @default.
• W2416335950 cites W4381985257 @default.
• W2416335950 cites W635628323 @default.
• W2416335950 cites W653200273 @default.
• W2416335950 cites W838964467 @default.
• W2416335950 doi "https://doi.org/10.1002/ecs2.1292" @default.
• W2416335950 hasPublicationYear "2016" @default.
• W2416335950 type Work @default.
• W2416335950 sameAs 2416335950 @default.
• W2416335950 citedByCount "19" @default.
• W2416335950 countsByYear W24163359502017 @default.
• W2416335950 countsByYear W24163359502018 @default.
• W2416335950 countsByYear W24163359502019 @default.
• W2416335950 countsByYear W24163359502020 @default.
• W2416335950 countsByYear W24163359502021 @default.
• W2416335950 countsByYear W24163359502023 @default.
• W2416335950 crossrefType "journal-article" @default.
• W2416335950 hasAuthorship W2416335950A5006430652 @default.
• W2416335950 hasAuthorship W2416335950A5023067168 @default.

• next