FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2772069579> ?p ?o ?g. }

• W2772069579 endingPage "70" @default.
• W2772069579 startingPage "57" @default.
• W2772069579 abstract "Urban areas are sources of land use change and CO2 emissions that contribute to global climate change. Despite this, assessments of urban vegetation carbon stocks often fail to identify important landscape-scale drivers of variation in urban carbon, especially the potential effects of landscape structure variables at different spatial scales. We combined field measurements with Light Detection And Ranging (LiDAR) data to build high-resolution models of woody plant aboveground carbon across the urban portion of Brisbane, Australia, and then identified landscape scale drivers of these carbon stocks. First, we used LiDAR data to quantify the extent and vertical structure of vegetation across the city at high resolution (5 × 5 m). Next, we paired this data with aboveground carbon measurements at 219 sites to create boosted regression tree models and map aboveground carbon across the city. We then used these maps to determine how spatial variation in land cover/land use and landscape structure affects these carbon stocks. Foliage densities above 5 m height, tree canopy height, and the presence of ground openings had the strongest relationships with aboveground carbon. Using these fine-scale relationships, we estimate that 2.2 ± 0.4 TgC are stored aboveground in the urban portion of Brisbane, with mean densities of 32.6 ± 5.8 MgC ha− 1 calculated across the entire urban land area, and 110.9 ± 19.7 Mg C ha− 1 calculated within treed areas. Predicted carbon densities within treed areas showed strong positive relationships with the proportion of surrounding tree cover and how clumped that tree cover was at both 1 km2 and 1 ha resolutions. Our models predict that even dense urban areas with low tree cover can have high carbon densities at fine scales. We conclude that actions and policies aimed at increasing urban carbon should focus on those areas where urban tree cover is most fragmented." @default.
• W2772069579 created "2017-12-22" @default.
• W2772069579 creator A5021131756 @default.
• W2772069579 creator A5028404001 @default.
• W2772069579 creator A5033812756 @default.
• W2772069579 creator A5045129018 @default.
• W2772069579 creator A5067627914 @default.
• W2772069579 creator A5089152837 @default.
• W2772069579 date "2018-05-01" @default.
• W2772069579 modified "2023-10-08" @default.
• W2772069579 title "Identification of fine scale and landscape scale drivers of urban aboveground carbon stocks using high-resolution modeling and mapping" @default.
• W2772069579 cites W1622515456 @default.
• W2772069579 cites W1892450421 @default.
• W2772069579 cites W1895335819 @default.
• W2772069579 cites W1966850810 @default.
• W2772069579 cites W1973428156 @default.
• W2772069579 cites W1976594100 @default.
• W2772069579 cites W1980962874 @default.
• W2772069579 cites W1983192691 @default.
• W2772069579 cites W1983992248 @default.
• W2772069579 cites W1993417238 @default.
• W2772069579 cites W1994400465 @default.
• W2772069579 cites W1997380719 @default.
• W2772069579 cites W2001256577 @default.
• W2772069579 cites W2004520553 @default.
• W2772069579 cites W2006681767 @default.
• W2772069579 cites W2011525053 @default.
• W2772069579 cites W2015084773 @default.
• W2772069579 cites W2020946317 @default.
• W2772069579 cites W2021960419 @default.
• W2772069579 cites W2026257972 @default.
• W2772069579 cites W2027319497 @default.
• W2772069579 cites W2030090495 @default.
• W2772069579 cites W2032771339 @default.
• W2772069579 cites W2037282532 @default.
• W2772069579 cites W2038596493 @default.
• W2772069579 cites W2043516695 @default.
• W2772069579 cites W2044547951 @default.
• W2772069579 cites W2048860008 @default.
• W2772069579 cites W2049070397 @default.
• W2772069579 cites W2061402027 @default.
• W2772069579 cites W2061486608 @default.
• W2772069579 cites W2066131315 @default.
• W2772069579 cites W2067408254 @default.
• W2772069579 cites W2067614054 @default.
• W2772069579 cites W2068654116 @default.
• W2772069579 cites W2070496454 @default.
• W2772069579 cites W2082232656 @default.
• W2772069579 cites W2085991080 @default.
• W2772069579 cites W2090838886 @default.
• W2772069579 cites W2095565378 @default.
• W2772069579 cites W2097467169 @default.
• W2772069579 cites W2098935748 @default.
• W2772069579 cites W2099591330 @default.
• W2772069579 cites W2113521108 @default.
• W2772069579 cites W2113782183 @default.
• W2772069579 cites W2121942758 @default.
• W2772069579 cites W2123162799 @default.
• W2772069579 cites W2127476821 @default.
• W2772069579 cites W2133578969 @default.
• W2772069579 cites W2135082567 @default.
• W2772069579 cites W2135695572 @default.
• W2772069579 cites W2137046486 @default.
• W2772069579 cites W2147197400 @default.
• W2772069579 cites W2148719805 @default.
• W2772069579 cites W2151108073 @default.
• W2772069579 cites W2152016466 @default.
• W2772069579 cites W2156249248 @default.
• W2772069579 cites W2157388519 @default.
• W2772069579 cites W2160816846 @default.
• W2772069579 cites W2164205469 @default.
• W2772069579 cites W2166465566 @default.
• W2772069579 cites W2167227521 @default.
• W2772069579 cites W2170063831 @default.
• W2772069579 cites W2170565777 @default.
• W2772069579 cites W2215152799 @default.
• W2772069579 cites W2273297058 @default.
• W2772069579 cites W2317904177 @default.
• W2772069579 cites W2336442849 @default.
• W2772069579 cites W2413374612 @default.
• W2772069579 cites W2464352881 @default.
• W2772069579 cites W2469611972 @default.
• W2772069579 cites W2507299852 @default.
• W2772069579 cites W2541662801 @default.
• W2772069579 cites W2575787230 @default.
• W2772069579 cites W2749557515 @default.
• W2772069579 cites W299709162 @default.
• W2772069579 cites W4242801861 @default.
• W2772069579 doi "https://doi.org/10.1016/j.scitotenv.2017.11.255" @default.
• W2772069579 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/29202369" @default.
• W2772069579 hasPublicationYear "2018" @default.
• W2772069579 type Work @default.
• W2772069579 sameAs 2772069579 @default.
• W2772069579 citedByCount "29" @default.
• W2772069579 countsByYear W27720695792018 @default.
• W2772069579 countsByYear W27720695792019 @default.
• W2772069579 countsByYear W27720695792020 @default.
• W2772069579 countsByYear W27720695792021 @default.

• next