Matches in SemOpenAlex for { <https://semopenalex.org/work/W2024142738> ?p ?o ?g. }
- W2024142738 endingPage "25" @default.
- W2024142738 startingPage "12" @default.
- W2024142738 abstract "Wildfires will continue to reach people and property regardless of management effort in the landscape. House-based strategies are therefore required to complement the landscape strategies in order to reduce the extent of house loss. Here we use a Bayesian Network approach to quantify the relative influence of preventative and suppressive management strategies on the probability of house loss in Australia. Community education had a limited effect on the extent to which residents prepared their property hence a limited effect on the reduction in risk of house loss, however hypothetically improving property preparedness did reduce the risk of house loss. Increasing expenditure on suppression resources resulted in a greater reduction in the risk of loss than preparedness. This increase had an interaction effect with increasing the distance between vegetation and the houses. The extent to which any one action can be implemented is limited by social, environmental and economic factors." @default.
- W2024142738 created "2016-06-24" @default.
- W2024142738 creator A5000694013 @default.
- W2024142738 creator A5027248769 @default.
- W2024142738 creator A5059359207 @default.
- W2024142738 creator A5070827404 @default.
- W2024142738 creator A5071877312 @default.
- W2024142738 creator A5074898728 @default.
- W2024142738 date "2015-05-01" @default.
- W2024142738 modified "2023-10-18" @default.
- W2024142738 title "Reducing the risk of house loss due to wildfires" @default.
- W2024142738 cites W1605179980 @default.
- W2024142738 cites W1965529788 @default.
- W2024142738 cites W1965727432 @default.
- W2024142738 cites W1973107043 @default.
- W2024142738 cites W1974130720 @default.
- W2024142738 cites W1974960176 @default.
- W2024142738 cites W1976902084 @default.
- W2024142738 cites W1978548769 @default.
- W2024142738 cites W1979154867 @default.
- W2024142738 cites W1981916326 @default.
- W2024142738 cites W1984661559 @default.
- W2024142738 cites W1985867946 @default.
- W2024142738 cites W1986985803 @default.
- W2024142738 cites W1990887640 @default.
- W2024142738 cites W1991937507 @default.
- W2024142738 cites W2002648453 @default.
- W2024142738 cites W2003783955 @default.
- W2024142738 cites W2012290228 @default.
- W2024142738 cites W2012763477 @default.
- W2024142738 cites W2015127657 @default.
- W2024142738 cites W2017525137 @default.
- W2024142738 cites W2020392352 @default.
- W2024142738 cites W2021020589 @default.
- W2024142738 cites W2022200205 @default.
- W2024142738 cites W2025595349 @default.
- W2024142738 cites W2029696407 @default.
- W2024142738 cites W2036605798 @default.
- W2024142738 cites W2039314663 @default.
- W2024142738 cites W2047575372 @default.
- W2024142738 cites W2048076161 @default.
- W2024142738 cites W2049143141 @default.
- W2024142738 cites W2050607405 @default.
- W2024142738 cites W2051987607 @default.
- W2024142738 cites W2053452673 @default.
- W2024142738 cites W2054116659 @default.
- W2024142738 cites W2055986463 @default.
- W2024142738 cites W2063976525 @default.
- W2024142738 cites W2066929333 @default.
- W2024142738 cites W2067934103 @default.
- W2024142738 cites W2067975844 @default.
- W2024142738 cites W2068769336 @default.
- W2024142738 cites W2070211257 @default.
- W2024142738 cites W2076766584 @default.
- W2024142738 cites W2079893871 @default.
- W2024142738 cites W2080952994 @default.
- W2024142738 cites W2085593420 @default.
- W2024142738 cites W2087295820 @default.
- W2024142738 cites W2104759740 @default.
- W2024142738 cites W2114654967 @default.
- W2024142738 cites W2115261921 @default.
- W2024142738 cites W2116274690 @default.
- W2024142738 cites W2119592579 @default.
- W2024142738 cites W2121609067 @default.
- W2024142738 cites W2123567448 @default.
- W2024142738 cites W2125906092 @default.
- W2024142738 cites W2126419565 @default.
- W2024142738 cites W2130013497 @default.
- W2024142738 cites W2130739525 @default.
- W2024142738 cites W2137044299 @default.
- W2024142738 cites W2137839725 @default.
- W2024142738 cites W2140672377 @default.
- W2024142738 cites W2143075689 @default.
- W2024142738 cites W2143376472 @default.
- W2024142738 cites W2151999954 @default.
- W2024142738 cites W2152719192 @default.
- W2024142738 cites W2153937487 @default.
- W2024142738 cites W2159109632 @default.
- W2024142738 cites W2165717170 @default.
- W2024142738 cites W2167369752 @default.
- W2024142738 cites W2169793907 @default.
- W2024142738 cites W2171979263 @default.
- W2024142738 cites W2332668058 @default.
- W2024142738 cites W2883927577 @default.
- W2024142738 cites W2969389948 @default.
- W2024142738 doi "https://doi.org/10.1016/j.envsoft.2014.12.020" @default.
- W2024142738 hasPublicationYear "2015" @default.
- W2024142738 type Work @default.
- W2024142738 sameAs 2024142738 @default.
- W2024142738 citedByCount "34" @default.
- W2024142738 countsByYear W20241427382015 @default.
- W2024142738 countsByYear W20241427382016 @default.
- W2024142738 countsByYear W20241427382017 @default.
- W2024142738 countsByYear W20241427382018 @default.
- W2024142738 countsByYear W20241427382019 @default.
- W2024142738 countsByYear W20241427382020 @default.
- W2024142738 countsByYear W20241427382021 @default.
- W2024142738 countsByYear W20241427382022 @default.